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Search, Evaluate, and Read Evidence","\u002Fen\u002Facademic-writing\u002F02-reading-and-literature-matrix","en\u002Facademic-writing\u002F02-reading-and-literature-matrix",{"title":27,"path":28,"stem":29},"3. From Sources to Synthesis and Argument","\u002Fen\u002Facademic-writing\u002F03-arguments-outlines-and-paragraphs","en\u002Facademic-writing\u002F03-arguments-outlines-and-paragraphs",{"title":31,"path":32,"stem":33},"4. Literature Review and a Defensible Gap","\u002Fen\u002Facademic-writing\u002F04-writing-the-literature-review","en\u002Facademic-writing\u002F04-writing-the-literature-review",{"title":35,"path":36,"stem":37},"5. Research Design, Evidence, and Core Sections","\u002Fen\u002Facademic-writing\u002F05-core-sections-and-evidence","en\u002Facademic-writing\u002F05-core-sections-and-evidence",{"title":39,"path":40,"stem":41},"6. Citation, Paraphrasing, Integrity, and AI","\u002Fen\u002Facademic-writing\u002F06-citation-paraphrasing-and-integrity","en\u002Facademic-writing\u002F06-citation-paraphrasing-and-integrity",{"title":43,"path":44,"stem":45},"7. Revision, Review, and Submission","\u002Fen\u002Facademic-writing\u002F07-revision-style-and-submission","en\u002Facademic-writing\u002F07-revision-style-and-submission",{"title":47,"path":48,"stem":49},"8. Research Workbook","\u002Fen\u002Facademic-writing\u002F08-literature-review-checklist-and-template","en\u002Facademic-writing\u002F08-literature-review-checklist-and-template",{"title":51,"path":52,"stem":53},"9. Research Workflow and Tools","\u002Fen\u002Facademic-writing\u002F09-tools-for-academic-writing-and-literature-management","en\u002Facademic-writing\u002F09-tools-for-academic-writing-and-literature-management",{"title":55,"path":56,"stem":57},"10. Worked Project — From Question to Defensible Conclusion","\u002Fen\u002Facademic-writing\u002F10-worked-example-from-block-structure-to-question-chain","en\u002Facademic-writing\u002F10-worked-example-from-block-structure-to-question-chain",{"title":59,"path":60,"stem":61,"children":62,"page":249},"Accounting","\u002Fen\u002Faccounting","en\u002Faccounting",[63,69,87,93,193],{"title":64,"path":65,"stem":66,"children":67},"Accounting — From Evidence to Decisions","\u002Fen\u002Faccounting\u002F00-index","en\u002Faccounting\u002F00-index",[68],{"title":64,"path":65,"stem":66},{"title":70,"path":71,"stem":72,"children":73},"Accounting Appendix","\u002Fen\u002Faccounting\u002Fappendix","en\u002Faccounting\u002Fappendix\u002Findex",[74,75,79,83],{"title":70,"path":71,"stem":72},{"title":76,"path":77,"stem":78},"Worked Examples and Error Diagnosis","\u002Fen\u002Faccounting\u002Fappendix\u002F24-examples-pitfalls","en\u002Faccounting\u002Fappendix\u002F24-examples-pitfalls",{"title":80,"path":81,"stem":82},"Accounting Glossary","\u002Fen\u002Faccounting\u002Fappendix\u002F26-glossary","en\u002Faccounting\u002Fappendix\u002F26-glossary",{"title":84,"path":85,"stem":86},"Reading and Evidence Map","\u002Fen\u002Faccounting\u002Fappendix\u002F27-reading-map","en\u002Faccounting\u002Fappendix\u002F27-reading-map",{"title":88,"path":89,"stem":90,"children":91},"Northstar Record-to-Decision Capstone","\u002Fen\u002Faccounting\u002Fcapstone","en\u002Faccounting\u002Fcapstone\u002Findex",[92],{"title":88,"path":89,"stem":90},{"title":94,"path":95,"stem":96,"children":97},"Financial Accounting","\u002Fen\u002Faccounting\u002Ffinancial-accounting","en\u002Faccounting\u002Ffinancial-accounting\u002Findex",[98,99,117,131,165,179],{"title":94,"path":95,"stem":96},{"title":100,"path":101,"stem":102,"children":103},"1. Foundations","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002Findex",[104,105,109,113],{"title":100,"path":101,"stem":102},{"title":106,"path":107,"stem":108},"Objectives and Qualitative Characteristics","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F01-objectives-qualitative-characteristics","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F01-objectives-qualitative-characteristics",{"title":110,"path":111,"stem":112},"Equation and Elements","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F02-equation-elements","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F02-equation-elements",{"title":114,"path":115,"stem":116},"Accrual Basis, Estimates and Periods","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F03-accounting-bases-principles","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F03-accounting-bases-principles",{"title":118,"path":119,"stem":120,"children":121},"2. Recording Transactions","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions","en\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002Findex",[122,123,127],{"title":118,"path":119,"stem":120},{"title":124,"path":125,"stem":126},"Double-Entry and Debit\u002FCredit","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F04-double-entry-dr-cr","en\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F04-double-entry-dr-cr",{"title":128,"path":129,"stem":130},"Accounting Cycle","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F05-accounting-cycle","en\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F05-accounting-cycle",{"title":132,"path":133,"stem":134,"children":135},"3. Measurement and Adjustments","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002Findex",[136,137,141,145,149,153,157,161],{"title":132,"path":133,"stem":134},{"title":138,"path":139,"stem":140},"Revenue Recognition","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F07-revenue-recognition","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F07-revenue-recognition",{"title":142,"path":143,"stem":144},"Inventory","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F08-inventory","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F08-inventory",{"title":146,"path":147,"stem":148},"Receivables and Expected Credit Losses","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F09-receivables","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F09-receivables",{"title":150,"path":151,"stem":152},"Property, Plant and Equipment","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F10-ppe","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F10-ppe",{"title":154,"path":155,"stem":156},"Intangible Assets","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F11-intangibles","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F11-intangibles",{"title":158,"path":159,"stem":160},"Leases","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F12-leases","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F12-leases",{"title":162,"path":163,"stem":164},"Current and Deferred Income Tax","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F13-income-tax","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F13-income-tax",{"title":166,"path":167,"stem":168,"children":169},"4. Reporting and Cash","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash","en\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002Findex",[170,171,175],{"title":166,"path":167,"stem":168},{"title":172,"path":173,"stem":174},"Linked Financial Statements","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F06-financial-statements","en\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F06-financial-statements",{"title":176,"path":177,"stem":178},"Cash, Reconciliation and Internal Control","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F14-cash-control","en\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F14-cash-control",{"title":180,"path":181,"stem":182,"children":183},"5. Analysis and Comparison","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison","en\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002Findex",[184,185,189],{"title":180,"path":181,"stem":182},{"title":186,"path":187,"stem":188},"Ratio Analysis","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F15-ratio-analysis","en\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F15-ratio-analysis",{"title":190,"path":191,"stem":192},"IFRS versus US GAAP","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F25-ifrs-gaap","en\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F25-ifrs-gaap",{"title":194,"path":195,"stem":196,"children":197},"Management Accounting","\u002Fen\u002Faccounting\u002Fmanagement-accounting","en\u002Faccounting\u002Fmanagement-accounting\u002Findex",[198,199,217,235],{"title":194,"path":195,"stem":196},{"title":200,"path":201,"stem":202,"children":203},"1. Cost Foundations","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002Findex",[204,205,209,213],{"title":200,"path":201,"stem":202},{"title":206,"path":207,"stem":208},"Cost Concepts and Behaviour","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F16-cost-concepts","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F16-cost-concepts",{"title":210,"path":211,"stem":212},"Costing Systems","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F17-costing-systems","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F17-costing-systems",{"title":214,"path":215,"stem":216},"Variable and Absorption Costing","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F19-variable-vs-absorption","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F19-variable-vs-absorption",{"title":218,"path":219,"stem":220,"children":221},"2. Planning and Control","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002Findex",[222,223,227,231],{"title":218,"path":219,"stem":220},{"title":224,"path":225,"stem":226},"Cost–Volume–Profit Analysis","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F18-cvp-analysis","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F18-cvp-analysis",{"title":228,"path":229,"stem":230},"Budgeting and Variance Analysis","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F20-budgeting-variances","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F20-budgeting-variances",{"title":232,"path":233,"stem":234},"Performance Measurement","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F21-performance-measurement","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F21-performance-measurement",{"title":236,"path":237,"stem":238,"children":239},"3. Decisions and Investment","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment","en\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002Findex",[240,241,245],{"title":236,"path":237,"stem":238},{"title":242,"path":243,"stem":244},"Short-Term Decisions","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F22-short-term-decisions","en\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F22-short-term-decisions",{"title":246,"path":247,"stem":248},"Capital Budgeting","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F23-capital-budgeting","en\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F23-capital-budgeting",false,{"title":251,"path":252,"stem":253,"children":254,"page":249},"Business Analytics","\u002Fen\u002Fbusiness-analytics","en\u002Fbusiness-analytics",[255,261,279,305,335,365,383,400],{"title":256,"path":257,"stem":258,"children":259},"Business Analytics — From Data to Defensible Action","\u002Fen\u002Fbusiness-analytics\u002F00-index","en\u002Fbusiness-analytics\u002F00-index",[260],{"title":256,"path":257,"stem":258},{"title":262,"path":263,"stem":264,"children":265},"0. Decision and Data Foundations","\u002Fen\u002Fbusiness-analytics\u002F00-intro","en\u002Fbusiness-analytics\u002F00-intro\u002Findex",[266,267,271,275],{"title":262,"path":263,"stem":264},{"title":268,"path":269,"stem":270},"Decision Framing","\u002Fen\u002Fbusiness-analytics\u002F00-intro\u002F01-decision-framing","en\u002Fbusiness-analytics\u002F00-intro\u002F01-decision-framing",{"title":272,"path":273,"stem":274},"Data Contracts","\u002Fen\u002Fbusiness-analytics\u002F00-intro\u002F02-data-contracts","en\u002Fbusiness-analytics\u002F00-intro\u002F02-data-contracts",{"title":276,"path":277,"stem":278},"Reproducible Analytics Workflow","\u002Fen\u002Fbusiness-analytics\u002F00-intro\u002F03-reproducible-workflow","en\u002Fbusiness-analytics\u002F00-intro\u002F03-reproducible-workflow",{"title":280,"path":281,"stem":282,"children":283},"1. Descriptive Analytics","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive","en\u002Fbusiness-analytics\u002F01-descriptive\u002Findex",[284,285,289,293,297,301],{"title":280,"path":281,"stem":282},{"title":286,"path":287,"stem":288},"Distributions and Exploratory Data Analysis","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F04-distributions-eda","en\u002Fbusiness-analytics\u002F01-descriptive\u002F04-distributions-eda",{"title":290,"path":291,"stem":292},"KPIs and Denominators","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F05-kpis-denominators","en\u002Fbusiness-analytics\u002F01-descriptive\u002F05-kpis-denominators",{"title":294,"path":295,"stem":296},"Segments, Cohorts and Funnels","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F06-segmentation-cohorts-funnels","en\u002Fbusiness-analytics\u002F01-descriptive\u002F06-segmentation-cohorts-funnels",{"title":298,"path":299,"stem":300},"Visual Evidence and Data Stories","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F07-visualisation-story","en\u002Fbusiness-analytics\u002F01-descriptive\u002F07-visualisation-story",{"title":302,"path":303,"stem":304},"Experiments and Causal Boundaries","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F08-experiments-causal-boundary","en\u002Fbusiness-analytics\u002F01-descriptive\u002F08-experiments-causal-boundary",{"title":306,"path":307,"stem":308,"children":309},"2. Predictive Analytics","\u002Fen\u002Fbusiness-analytics\u002F02-predictive","en\u002Fbusiness-analytics\u002F02-predictive\u002Findex",[310,311,315,319,323,327,331],{"title":306,"path":307,"stem":308},{"title":312,"path":313,"stem":314},"Validation, Baselines and Leakage","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F09-validation-leakage","en\u002Fbusiness-analytics\u002F02-predictive\u002F09-validation-leakage",{"title":316,"path":317,"stem":318},"Regression and Forecasting","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F10-regression-forecasting","en\u002Fbusiness-analytics\u002F02-predictive\u002F10-regression-forecasting",{"title":320,"path":321,"stem":322},"Classification and Calibration","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F11-classification-calibration","en\u002Fbusiness-analytics\u002F02-predictive\u002F11-classification-calibration",{"title":324,"path":325,"stem":326},"Trees and Ensembles","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F12-trees-ensembles","en\u002Fbusiness-analytics\u002F02-predictive\u002F12-trees-ensembles",{"title":328,"path":329,"stem":330},"Decision Metrics and Thresholds","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F13-decision-metrics-thresholds","en\u002Fbusiness-analytics\u002F02-predictive\u002F13-decision-metrics-thresholds",{"title":332,"path":333,"stem":334},"Explainability, Monitoring and Drift","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F14-explainability-drift","en\u002Fbusiness-analytics\u002F02-predictive\u002F14-explainability-drift",{"title":336,"path":337,"stem":338,"children":339},"3. Prescriptive Analytics","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive","en\u002Fbusiness-analytics\u002F03-prescriptive\u002Findex",[340,341,345,349,353,357,361],{"title":336,"path":337,"stem":338},{"title":342,"path":343,"stem":344},"Decision-Making under Uncertainty","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F15-decision-uncertainty","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F15-decision-uncertainty",{"title":346,"path":347,"stem":348},"Linear Optimisation","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F16-linear-optimization","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F16-linear-optimization",{"title":350,"path":351,"stem":352},"Inventory and Allocation","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F17-inventory-allocation","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F17-inventory-allocation",{"title":354,"path":355,"stem":356},"Queueing and Simulation","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F18-queueing-simulation","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F18-queueing-simulation",{"title":358,"path":359,"stem":360},"Pricing and Revenue Management","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F19-pricing-experimentation","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F19-pricing-experimentation",{"title":362,"path":363,"stem":364},"Causal Targeting and Policy Learning","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F20-causal-targeting","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F20-causal-targeting",{"title":366,"path":367,"stem":368,"children":369},"4. Deployment and Governance","\u002Fen\u002Fbusiness-analytics\u002F04-deployment","en\u002Fbusiness-analytics\u002F04-deployment\u002Findex",[370,371,375,379],{"title":366,"path":367,"stem":368},{"title":372,"path":373,"stem":374},"Data Products and Monitoring","\u002Fen\u002Fbusiness-analytics\u002F04-deployment\u002F21-data-products-monitoring","en\u002Fbusiness-analytics\u002F04-deployment\u002F21-data-products-monitoring",{"title":376,"path":377,"stem":378},"Governance, Fairness and Privacy","\u002Fen\u002Fbusiness-analytics\u002F04-deployment\u002F22-governance-fairness-privacy","en\u002Fbusiness-analytics\u002F04-deployment\u002F22-governance-fairness-privacy",{"title":380,"path":381,"stem":382},"Adoption and Business Value","\u002Fen\u002Fbusiness-analytics\u002F04-deployment\u002F23-adoption-value","en\u002Fbusiness-analytics\u002F04-deployment\u002F23-adoption-value",{"title":384,"path":385,"stem":386,"children":387},"Appendix and Revision Tools","\u002Fen\u002Fbusiness-analytics\u002Fappendix","en\u002Fbusiness-analytics\u002Fappendix\u002Findex",[388,389,393,397],{"title":384,"path":385,"stem":386},{"title":390,"path":391,"stem":392},"Formula and Decision Map","\u002Fen\u002Fbusiness-analytics\u002Fappendix\u002F24-formula-map","en\u002Fbusiness-analytics\u002Fappendix\u002F24-formula-map",{"title":394,"path":395,"stem":396},"Worked Examples and Pitfalls","\u002Fen\u002Fbusiness-analytics\u002Fappendix\u002F25-worked-examples-pitfalls","en\u002Fbusiness-analytics\u002Fappendix\u002F25-worked-examples-pitfalls",{"title":84,"path":398,"stem":399},"\u002Fen\u002Fbusiness-analytics\u002Fappendix\u002F26-reading-map","en\u002Fbusiness-analytics\u002Fappendix\u002F26-reading-map",{"title":401,"path":402,"stem":403,"children":404},"Capstone — The Evening Delivery Promise","\u002Fen\u002Fbusiness-analytics\u002Fcapstone","en\u002Fbusiness-analytics\u002Fcapstone\u002Findex",[405],{"title":401,"path":402,"stem":403},{"title":407,"path":408,"stem":409,"children":410,"page":249},"Financial Economic Time Series","\u002Fen\u002Ffinancial-economic-time-series","en\u002Ffinancial-economic-time-series",[411,417,423,429,435,441,447,453,459,465,471],{"title":412,"path":413,"stem":414,"children":415},"Financial and Economic Time Series — Course Guide","\u002Fen\u002Ffinancial-economic-time-series\u002F00-intro","en\u002Ffinancial-economic-time-series\u002F00-intro\u002Findex",[416],{"title":412,"path":413,"stem":414},{"title":418,"path":419,"stem":420,"children":421},"Three Versions of Time Series","\u002Fen\u002Ffinancial-economic-time-series\u002F01-bridge","en\u002Ffinancial-economic-time-series\u002F01-bridge\u002Findex",[422],{"title":418,"path":419,"stem":420},{"title":424,"path":425,"stem":426,"children":427},"Data, Clocks, and Transformations","\u002Fen\u002Ffinancial-economic-time-series\u002F02-data-transformations","en\u002Ffinancial-economic-time-series\u002F02-data-transformations\u002Findex",[428],{"title":424,"path":425,"stem":426},{"title":430,"path":431,"stem":432,"children":433},"Predictive Regressions and Persistent Predictors","\u002Fen\u002Ffinancial-economic-time-series\u002F03-predictive-regressions","en\u002Ffinancial-economic-time-series\u002F03-predictive-regressions\u002Findex",[434],{"title":430,"path":431,"stem":432},{"title":436,"path":437,"stem":438,"children":439},"Volatility, Tails, and Financial Risk","\u002Fen\u002Ffinancial-economic-time-series\u002F04-volatility-risk","en\u002Ffinancial-economic-time-series\u002F04-volatility-risk\u002Findex",[440],{"title":436,"path":437,"stem":438},{"title":442,"path":443,"stem":444,"children":445},"Unit Roots, Cointegration, and Error Correction","\u002Fen\u002Ffinancial-economic-time-series\u002F05-unit-roots-cointegration","en\u002Ffinancial-economic-time-series\u002F05-unit-roots-cointegration\u002Findex",[446],{"title":442,"path":443,"stem":444},{"title":448,"path":449,"stem":450,"children":451},"VAR, Structural Identification, and Local Projections","\u002Fen\u002Ffinancial-economic-time-series\u002F06-var-identification","en\u002Ffinancial-economic-time-series\u002F06-var-identification\u002Findex",[452],{"title":448,"path":449,"stem":450},{"title":454,"path":455,"stem":456,"children":457},"State Space, Mixed Frequency, and Nowcasting","\u002Fen\u002Ffinancial-economic-time-series\u002F07-state-space-nowcasting","en\u002Ffinancial-economic-time-series\u002F07-state-space-nowcasting\u002Findex",[458],{"title":454,"path":455,"stem":456},{"title":460,"path":461,"stem":462,"children":463},"Forecast Evaluation for Decisions","\u002Fen\u002Ffinancial-economic-time-series\u002F08-forecast-evaluation","en\u002Ffinancial-economic-time-series\u002F08-forecast-evaluation\u002Findex",[464],{"title":460,"path":461,"stem":462},{"title":466,"path":467,"stem":468,"children":469},"Integrated R Laboratory","\u002Fen\u002Ffinancial-economic-time-series\u002F09-r-laboratory","en\u002Ffinancial-economic-time-series\u002F09-r-laboratory\u002Findex",[470],{"title":466,"path":467,"stem":468},{"title":472,"path":473,"stem":474,"children":475},"Capstones, Data, and Reading Ladder","\u002Fen\u002Ffinancial-economic-time-series\u002F10-capstone-readings","en\u002Ffinancial-economic-time-series\u002F10-capstone-readings\u002Findex",[476],{"title":472,"path":473,"stem":474},{"title":478,"path":479,"stem":480,"children":481,"page":249},"Intro To Economics","\u002Fen\u002Fintro-to-economics","en\u002Fintro-to-economics",[482,486,490,494,498,502,506,510,514,518,522,526,530],{"title":483,"path":484,"stem":485},"Introduction to Economics — Decisions, Markets, and the Macroeconomy","\u002Fen\u002Fintro-to-economics\u002F00-intro","en\u002Fintro-to-economics\u002F00-intro",{"title":487,"path":488,"stem":489},"Chapter 1 — Choice, Opportunity Cost, and Trade","\u002Fen\u002Fintro-to-economics\u002F01-foundations","en\u002Fintro-to-economics\u002F01-foundations",{"title":491,"path":492,"stem":493},"Chapter 2 — Demand, Supply, Equilibrium, and Welfare","\u002Fen\u002Fintro-to-economics\u002F02-demand-and-supply","en\u002Fintro-to-economics\u002F02-demand-and-supply",{"title":495,"path":496,"stem":497},"Chapter 3 — Elasticity, Revenue, and Tax Incidence","\u002Fen\u002Fintro-to-economics\u002F03-elasticity","en\u002Fintro-to-economics\u002F03-elasticity",{"title":499,"path":500,"stem":501},"Chapter 4 — Firms, Market Power, and Market Failure","\u002Fen\u002Fintro-to-economics\u002F04-market-structures","en\u002Fintro-to-economics\u002F04-market-structures",{"title":503,"path":504,"stem":505},"Chapter 5 — GDP, Income, Wealth, and Welfare","\u002Fen\u002Fintro-to-economics\u002F05-gdp-and-wealth","en\u002Fintro-to-economics\u002F05-gdp-and-wealth",{"title":507,"path":508,"stem":509},"Chapter 6 — Inflation, Purchasing Power, and Labour Markets","\u002Fen\u002Fintro-to-economics\u002F06-inflation-and-unemployment","en\u002Fintro-to-economics\u002F06-inflation-and-unemployment",{"title":511,"path":512,"stem":513},"Chapter 7 — Productivity, Technology, and Economic Growth","\u002Fen\u002Fintro-to-economics\u002F07-economic-growth","en\u002Fintro-to-economics\u002F07-economic-growth",{"title":515,"path":516,"stem":517},"Chapter 8 — Money, Credit, and Banking","\u002Fen\u002Fintro-to-economics\u002F08-money-and-banking","en\u002Fintro-to-economics\u002F08-money-and-banking",{"title":519,"path":520,"stem":521},"Chapter 9 — Business Cycles, AD–AS, and Monetary Policy","\u002Fen\u002Fintro-to-economics\u002F09-monetary-policy-and-ad-as","en\u002Fintro-to-economics\u002F09-monetary-policy-and-ad-as",{"title":523,"path":524,"stem":525},"Chapter 10 — Fiscal Policy, Distribution, and Public Debt","\u002Fen\u002Fintro-to-economics\u002F10-fiscal-policy","en\u002Fintro-to-economics\u002F10-fiscal-policy",{"title":527,"path":528,"stem":529},"Chapter 11 — Trade, Capital Flows, and Exchange Rates","\u002Fen\u002Fintro-to-economics\u002F11-open-economy-and-exchange-rates","en\u002Fintro-to-economics\u002F11-open-economy-and-exchange-rates",{"title":531,"path":532,"stem":533},"Chapter 12 — Integrated Economic Analysis Studio","\u002Fen\u002Fintro-to-economics\u002F12-review-and-case-studies","en\u002Fintro-to-economics\u002F12-review-and-case-studies",{"title":535,"path":536,"stem":537,"children":538,"page":249},"Microeconometrics","\u002Fen\u002Fmicroeconometrics","en\u002Fmicroeconometrics",[539,557,563,581,603,629,651,673,691,709],{"title":540,"path":541,"stem":542,"children":543},"0. Causal Questions and Designs","\u002Fen\u002Fmicroeconometrics\u002F00-foundations","en\u002Fmicroeconometrics\u002F00-foundations\u002Findex",[544,545,549,553],{"title":540,"path":541,"stem":542},{"title":546,"path":547,"stem":548},"Causal Questions and Estimands","\u002Fen\u002Fmicroeconometrics\u002F00-foundations\u002F01-causal-question-estimands","en\u002Fmicroeconometrics\u002F00-foundations\u002F01-causal-question-estimands",{"title":550,"path":551,"stem":552},"Potential Outcomes and Experiments","\u002Fen\u002Fmicroeconometrics\u002F00-foundations\u002F02-potential-outcomes-experiments","en\u002Fmicroeconometrics\u002F00-foundations\u002F02-potential-outcomes-experiments",{"title":554,"path":555,"stem":556},"Causal Diagrams and Controls","\u002Fen\u002Fmicroeconometrics\u002F00-foundations\u002F03-dags-controls","en\u002Fmicroeconometrics\u002F00-foundations\u002F03-dags-controls",{"title":558,"path":559,"stem":560,"children":561},"Microeconometrics — Designing Credible Counterfactuals","\u002Fen\u002Fmicroeconometrics\u002F00-index","en\u002Fmicroeconometrics\u002F00-index",[562],{"title":558,"path":559,"stem":560},{"title":564,"path":565,"stem":566,"children":567},"1. Regression and Inference","\u002Fen\u002Fmicroeconometrics\u002F01-regression","en\u002Fmicroeconometrics\u002F01-regression\u002Findex",[568,569,573,577],{"title":564,"path":565,"stem":566},{"title":570,"path":571,"stem":572},"OLS as a Projection","\u002Fen\u002Fmicroeconometrics\u002F01-regression\u002F04-ols-projection","en\u002Fmicroeconometrics\u002F01-regression\u002F04-ols-projection",{"title":574,"path":575,"stem":576},"FWL, Selection and Controls","\u002Fen\u002Fmicroeconometrics\u002F01-regression\u002F05-fwl-selection-controls","en\u002Fmicroeconometrics\u002F01-regression\u002F05-fwl-selection-controls",{"title":578,"path":579,"stem":580},"Inference and Clustering","\u002Fen\u002Fmicroeconometrics\u002F01-regression\u002F06-inference-clustering","en\u002Fmicroeconometrics\u002F01-regression\u002F06-inference-clustering",{"title":582,"path":583,"stem":584,"children":585},"2. Instruments and Panel Data","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel","en\u002Fmicroeconometrics\u002F02-iv-panel\u002Findex",[586,587,591,595,599],{"title":582,"path":583,"stem":584},{"title":588,"path":589,"stem":590},"Instrumental Variables","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F07-iv-identification","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F07-iv-identification",{"title":592,"path":593,"stem":594},"Weak Instruments and LATE","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F08-weak-iv-late","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F08-weak-iv-late",{"title":596,"path":597,"stem":598},"Panel Fixed Effects","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F09-panel-fixed-effects","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F09-panel-fixed-effects",{"title":600,"path":601,"stem":602},"Dynamic Panels and Limits","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F10-dynamic-panel","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F10-dynamic-panel",{"title":604,"path":605,"stem":606,"children":607},"3. Policy Evaluation Designs","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs","en\u002Fmicroeconometrics\u002F03-policy-designs\u002Findex",[608,609,613,617,621,625],{"title":604,"path":605,"stem":606},{"title":610,"path":611,"stem":612},"Difference-in-Differences","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F11-did-core","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F11-did-core",{"title":614,"path":615,"stem":616},"Staggered DID and Event Studies","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F12-staggered-event-studies","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F12-staggered-event-studies",{"title":618,"path":619,"stem":620},"Regression Discontinuity","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F13-rdd","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F13-rdd",{"title":622,"path":623,"stem":624},"Matching, Weighting and Overlap","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F14-matching-weighting","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F14-matching-weighting",{"title":626,"path":627,"stem":628},"Synthetic Control","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F15-synthetic-control","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F15-synthetic-control",{"title":630,"path":631,"stem":632,"children":633},"Module 4 — Choice and Limited Outcomes","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002Findex",[634,635,639,643,647],{"title":630,"path":631,"stem":632},{"title":636,"path":637,"stem":638},"Binary Choice","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F16-binary-choice","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F16-binary-choice",{"title":640,"path":641,"stem":642},"Multinomial and Ordered Choice","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F17-multinomial-choice","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F17-multinomial-choice",{"title":644,"path":645,"stem":646},"Count Outcomes","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F18-count-outcomes","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F18-count-outcomes",{"title":648,"path":649,"stem":650},"Censoring, Truncation and Selection","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F19-censoring-selection","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F19-censoring-selection",{"title":652,"path":653,"stem":654,"children":655},"Module 5 — Modern Causal Analysis","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal","en\u002Fmicroeconometrics\u002F05-modern-causal\u002Findex",[656,657,661,665,669],{"title":652,"path":653,"stem":654},{"title":658,"path":659,"stem":660},"Double Machine Learning","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F20-dml","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F20-dml",{"title":662,"path":663,"stem":664},"Heterogeneity and Policy Learning","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F21-heterogeneity-policy","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F21-heterogeneity-policy",{"title":666,"path":667,"stem":668},"Sensitivity and Partial Identification","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F22-sensitivity-partial-id","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F22-sensitivity-partial-id",{"title":670,"path":671,"stem":672},"External Validity and Transport","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F23-external-validity","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F23-external-validity",{"title":674,"path":675,"stem":676,"children":677},"Module 6 — From Data to Auditable Evidence","\u002Fen\u002Fmicroeconometrics\u002F06-workflow","en\u002Fmicroeconometrics\u002F06-workflow\u002Findex",[678,679,683,687],{"title":674,"path":675,"stem":676},{"title":680,"path":681,"stem":682},"Data Provenance","\u002Fen\u002Fmicroeconometrics\u002F06-workflow\u002F24-data-provenance","en\u002Fmicroeconometrics\u002F06-workflow\u002F24-data-provenance",{"title":684,"path":685,"stem":686},"Reproducibility and Reporting","\u002Fen\u002Fmicroeconometrics\u002F06-workflow\u002F25-reproducibility-reporting","en\u002Fmicroeconometrics\u002F06-workflow\u002F25-reproducibility-reporting",{"title":688,"path":689,"stem":690},"Paper and Evidence Audit","\u002Fen\u002Fmicroeconometrics\u002F06-workflow\u002F26-paper-audit","en\u002Fmicroeconometrics\u002F06-workflow\u002F26-paper-audit",{"title":692,"path":693,"stem":694,"children":695},"Appendix — Revision and Evidence Map","\u002Fen\u002Fmicroeconometrics\u002Fappendix","en\u002Fmicroeconometrics\u002Fappendix\u002Findex",[696,697,701,705],{"title":692,"path":693,"stem":694},{"title":698,"path":699,"stem":700},"Formula and Design Map","\u002Fen\u002Fmicroeconometrics\u002Fappendix\u002F27-formula-design-map","en\u002Fmicroeconometrics\u002Fappendix\u002F27-formula-design-map",{"title":702,"path":703,"stem":704},"Ten Worked Microeconometric Pitfalls","\u002Fen\u002Fmicroeconometrics\u002Fappendix\u002F28-worked-pitfalls","en\u002Fmicroeconometrics\u002Fappendix\u002F28-worked-pitfalls",{"title":706,"path":707,"stem":708},"Reading and Software Map","\u002Fen\u002Fmicroeconometrics\u002Fappendix\u002F29-reading-software-map","en\u002Fmicroeconometrics\u002Fappendix\u002F29-reading-software-map",{"title":710,"path":711,"stem":712,"children":713},"Capstone — Should Northbridge Expand Pathways?","\u002Fen\u002Fmicroeconometrics\u002Fcapstone","en\u002Fmicroeconometrics\u002Fcapstone\u002Findex",[714],{"title":710,"path":711,"stem":712},{"title":716,"path":717,"stem":718,"children":719,"page":249},"Microeconomics","\u002Fen\u002Fmicroeconomics","en\u002Fmicroeconomics",[720,726,732,738,744,750,756,762,768,774,780,786,792],{"title":721,"path":722,"stem":723,"children":724},"Advanced Microeconomics — Course Guide","\u002Fen\u002Fmicroeconomics\u002F00-intro","en\u002Fmicroeconomics\u002F00-intro\u002Findex",[725],{"title":721,"path":722,"stem":723},{"title":727,"path":728,"stem":729,"children":730},"Module 1 — Choice, Duality, and Revealed Preference","\u002Fen\u002Fmicroeconomics\u002F01-fundations","en\u002Fmicroeconomics\u002F01-fundations\u002Findex",[731],{"title":727,"path":728,"stem":729},{"title":733,"path":734,"stem":735,"children":736},"Module 2 — Comparative Statics and Welfare Measurement","\u002Fen\u002Fmicroeconomics\u002F02-comparative-statics","en\u002Fmicroeconomics\u002F02-comparative-statics\u002Findex",[737],{"title":733,"path":734,"stem":735},{"title":739,"path":740,"stem":741,"children":742},"Module 3 — Choice under Risk and Insurance","\u002Fen\u002Fmicroeconomics\u002F03-uncertainty","en\u002Fmicroeconomics\u002F03-uncertainty\u002Findex",[743],{"title":739,"path":740,"stem":741},{"title":745,"path":746,"stem":747,"children":748},"Module 4 — General Equilibrium and Welfare","\u002Fen\u002Fmicroeconomics\u002F04-general-equilibrium","en\u002Fmicroeconomics\u002F04-general-equilibrium\u002Findex",[749],{"title":745,"path":746,"stem":747},{"title":751,"path":752,"stem":753,"children":754},"Module 5 — Static, Dynamic, and Repeated Games","\u002Fen\u002Fmicroeconomics\u002F05-game-theory","en\u002Fmicroeconomics\u002F05-game-theory\u002Findex",[755],{"title":751,"path":752,"stem":753},{"title":757,"path":758,"stem":759,"children":760},"Module 6 — Oligopoly, Entry, and Algorithmic Pricing","\u002Fen\u002Fmicroeconomics\u002F06-oligopoly","en\u002Fmicroeconomics\u002F06-oligopoly\u002Findex",[761],{"title":757,"path":758,"stem":759},{"title":763,"path":764,"stem":765,"children":766},"Module 7 — Information Economics and Contracts","\u002Fen\u002Fmicroeconomics\u002F07-information-economics","en\u002Fmicroeconomics\u002F07-information-economics\u002Findex",[767],{"title":763,"path":764,"stem":765},{"title":769,"path":770,"stem":771,"children":772},"Module 8 — Mechanism Design and Auctions","\u002Fen\u002Fmicroeconomics\u002F08-mechanism-design","en\u002Fmicroeconomics\u002F08-mechanism-design\u002Findex",[773],{"title":769,"path":770,"stem":771},{"title":775,"path":776,"stem":777,"children":778},"Module 9 — Behavioural and Experimental Microeconomics","\u002Fen\u002Fmicroeconomics\u002F09-behavioural-economics","en\u002Fmicroeconomics\u002F09-behavioural-economics\u002Findex",[779],{"title":775,"path":776,"stem":777},{"title":781,"path":782,"stem":783,"children":784},"Module 10 — Externalities, Public Goods, and Collective Action","\u002Fen\u002Fmicroeconomics\u002F10-externalities-public-goods","en\u002Fmicroeconomics\u002F10-externalities-public-goods\u002Findex",[785],{"title":781,"path":782,"stem":783},{"title":787,"path":788,"stem":789,"children":790},"Module 11 — Matching and Market Design","\u002Fen\u002Fmicroeconomics\u002F11-market-design","en\u002Fmicroeconomics\u002F11-market-design\u002Findex",[791],{"title":787,"path":788,"stem":789},{"title":793,"path":794,"stem":795,"children":796},"Module 12 — Integrated Microeconomic Design Studio","\u002Fen\u002Fmicroeconomics\u002F12-review","en\u002Fmicroeconomics\u002F12-review\u002Findex",[797],{"title":793,"path":794,"stem":795},{"title":799,"path":800,"stem":801,"children":802},"Playground","\u002Fen\u002Fplayground","en\u002Fplayground\u002Findex",[803,804,808,812,816,820],{"title":799,"path":800,"stem":801},{"title":805,"path":806,"stem":807},"Typst Plugin Playground","\u002Fen\u002Fplayground\u002F01-typstex","en\u002Fplayground\u002F01-typstex",{"title":809,"path":810,"stem":811},"Citation Plugin Test","\u002Fen\u002Fplayground\u002F02-citation","en\u002Fplayground\u002F02-citation",{"title":813,"path":814,"stem":815},"Pyodide Playground","\u002Fen\u002Fplayground\u002F03-pyodide","en\u002Fplayground\u002F03-pyodide",{"title":817,"path":818,"stem":819},"WebR Playground","\u002Fen\u002Fplayground\u002F04-webr","en\u002Fplayground\u002F04-webr",{"title":821,"path":822,"stem":823},"Chart.js 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文献综述的构建与写作","\u002Fzh\u002Facademic-writing\u002F04-writing-the-literature-review","zh\u002Facademic-writing\u002F04-writing-the-literature-review",{"title":1056,"path":1057,"stem":1058},"8. 文献综述清单与模板","\u002Fzh\u002Facademic-writing\u002F08-literature-review-checklist-and-template","zh\u002Facademic-writing\u002F08-literature-review-checklist-and-template",{"title":1060,"path":1061,"stem":1062},"10. 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与重抽样","\u002Fzh\u002Fprob-and-stats\u002F02-statistics\u002F07-bootstrap","zh\u002Fprob-and-stats\u002F02-statistics\u002F07-bootstrap\u002Findex",[1726],{"title":1722,"path":1723,"stem":1724},{"title":1728,"path":1729,"stem":1730},"第十三章：前沿文献与现代统计案例（2023—2026）","\u002Fzh\u002Fprob-and-stats\u002F03-frontier-literature-2026","zh\u002Fprob-and-stats\u002F03-frontier-literature-2026",{"title":1732,"path":1733,"stem":1734,"children":1735,"page":249},"Quant","\u002Fzh\u002Fquant","zh\u002Fquant",[1736,1742,1746,1750,1754,1758,1762,1766,1770,1774,1778],{"title":1737,"path":1738,"stem":1739,"children":1740},"量化投资——从可检验信号到可执行组合","\u002Fzh\u002Fquant\u002F00-index","zh\u002Fquant\u002F00-index",[1741],{"title":1737,"path":1738,"stem":1739},{"title":1743,"path":1744,"stem":1745},"数据获取与预处理","\u002Fzh\u002Fquant\u002F01-research-data","zh\u002Fquant\u002F01-research-data",{"title":1747,"path":1748,"stem":1749},"因子与交易信号","\u002Fzh\u002Fquant\u002F02-factor-and-signals","zh\u002Fquant\u002F02-factor-and-signals",{"title":1751,"path":1752,"stem":1753},"策略建模与回测","\u002Fzh\u002Fquant\u002F03-modeling-and-backtest","zh\u002Fquant\u002F03-modeling-and-backtest",{"title":1755,"path":1756,"stem":1757},"组合构建与风险建模（资产定价视角）","\u002Fzh\u002Fquant\u002F04-portfolio-and-risk","zh\u002Fquant\u002F04-portfolio-and-risk",{"title":1759,"path":1760,"stem":1761},"执行策略与市场微结构概览","\u002Fzh\u002Fquant\u002F05-execution-and-microstructure","zh\u002Fquant\u002F05-execution-and-microstructure",{"title":1763,"path":1764,"stem":1765},"策略上线、监控与迭代","\u002Fzh\u002Fquant\u002F06-production-and-monitoring","zh\u002Fquant\u002F06-production-and-monitoring",{"title":1767,"path":1768,"stem":1769},"量化工程与工具链概览","\u002Fzh\u002Fquant\u002F07-engineering-stack","zh\u002Fquant\u002F07-engineering-stack",{"title":1771,"path":1772,"stem":1773},"计量方法与实证检验","\u002Fzh\u002Fquant\u002F08-econometric-methods","zh\u002Fquant\u002F08-econometric-methods",{"title":1775,"path":1776,"stem":1777},"案例研究：多因子股票 Alpha 策略全流程","\u002Fzh\u002Fquant\u002F09-case-study","zh\u002Fquant\u002F09-case-study",{"title":1779,"path":1780,"stem":1781},"量化投资文献与软件图谱","\u002Fzh\u002Fquant\u002F10-reading-software-map","zh\u002Fquant\u002F10-reading-software-map",null,{"id":1784,"title":1324,"body":1785,"description":3079,"extension":3080,"features":1782,"hero":1782,"layout":1782,"locale":1782,"meta":3081,"navigation":1782,"path":1325,"published":2969,"seo":3084,"stem":1326,"__hash__":3085},"docs\u002Fzh\u002Feconometrics\u002Findex.md",{"type":1786,"value":1787,"toc":3065},"minimark",[1788,1793,1797,1801,1805,1808,1811,1864,1867,1870,1873,1901,1904,1943,1946,1949,2095,2099,2102,2540,2613,2616,2619,2792,2796,2954,2957,3014,3017,3047,3050,3053,3058],[1789,1790,1792],"h1",{"id":1791},"计量经济学从数据到可检验的经济论证","计量经济学：从数据到可检验的经济论证",[1794,1795,1796],"h2",{"id":1796},"课程定位",[1798,1799,1800],"p",{},"计量经济学不是“把数据放进回归软件”。它是一套把经济理论转化为可观测变量、参数、估计量和不确定性陈述的语言。学习的核心顺序应当是：",[1802,1803],"mermaid-diagram",{"code64":1804,"locale":7},"Zmxvd2NoYXJ0IExSCiAgUXVlc3Rpb25bIue7j+a1jumXrumimCJdIC0tPiBFc3RpbWFuZFsi55uu5qCH5Y+C5pWwIl0KICBFc3RpbWFuZCAtLT4gRGF0YVsi5pWw5o2u5LiO5rWL6YePIl0KICBEYXRhIC0tPiBNb2RlbFsi5qih5Z6L5LiO5YGH6K6+Il0KICBNb2RlbCAtLT4gSWRlbnRpZmljYXRpb25bIuivhuWIqyJdCiAgSWRlbnRpZmljYXRpb24gLS0+IEVzdGltYXRpb25bIuS8sOiuoSJdCiAgRXN0aW1hdGlvbiAtLT4gSW5mZXJlbmNlWyLmjqjmlq0iXQogIEluZmVyZW5jZSAtLT4gUm9idXN0bmVzc1si56iz5YGl5oCn5LiO6Kej6YeKIl0=",[1798,1806,1807],{},"本科生先掌握概率、回归、推断和数据分析；研究生进一步学习渐近理论、矩估计、极大似然、面板、时间序列、非参数方法和因果识别。本课程是后续微观计量经济学的共同基础，但不把所有因果设计提前塞进一个章节。",[1794,1809,1810],{"id":1810},"与微观计量经济学的关系",[1812,1813,1814,1830],"table",{},[1815,1816,1817],"thead",{},[1818,1819,1820,1824,1827],"tr",{},[1821,1822,1823],"th",{},"课程",[1821,1825,1826],{},"主问题",[1821,1828,1829],{},"典型工具",[1831,1832,1833,1844,1854],"tbody",{},[1818,1834,1835,1838,1841],{},[1836,1837,1324],"td",{},[1836,1839,1840],{},"如何估计参数并正确描述不确定性？",[1836,1842,1843],{},"OLS、稳健标准误、MLE、GMM、面板、时间序列",[1818,1845,1846,1848,1851],{},[1836,1847,1468],{},[1836,1849,1850],{},"如何在微观数据中构造可信的因果反事实？",[1836,1852,1853],{},"RCT、IV、DID、RDD、匹配、离散选择、因果机器学习",[1818,1855,1856,1858,1861],{},[1836,1857,1422],{},[1836,1859,1860],{},"经济系统如何共同决定产出、价格、就业和增长？",[1836,1862,1863],{},"国民账户、AD–AS、增长模型、政策传导",[1798,1865,1866],{},"一项实证研究通常需要三门课同时工作：宏观或微观理论提出机制，计量经济学提供估计与推断，微观计量提供识别设计。",[1794,1868,1869],{"id":1869},"学习成果",[1798,1871,1872],{},"完成课程后，你应能够：",[1874,1875,1876,1880,1883,1886,1889,1892,1895,1898],"ol",{},[1877,1878,1879],"li",{},"把经济问题写成目标参数，并区分总体参数、样本统计量和估计量。",[1877,1881,1882],{},"使用矩阵和几何语言解释 OLS，推导其有限样本与大样本性质。",[1877,1884,1885],{},"选择异方差稳健、聚类稳健或时间序列稳健的推断方式。",[1877,1887,1888],{},"解释遗漏变量偏误、测量误差、反向因果、选择偏误和样本选择。",[1877,1890,1891],{},"了解 IV、固定效应、动态模型、极大似然和 GMM 的适用条件。",[1877,1893,1894],{},"区分描述性预测、条件相关和因果效应。",[1877,1896,1897],{},"用 Python 或 R 完成数据清理、估计、诊断、表格和可重复报告。",[1877,1899,1900],{},"读一篇实证论文时，先审查识别与测量，再评价估计器和稳健性。",[1794,1902,1903],{"id":1903},"本科生与研究生分层",[1812,1905,1906,1919],{},[1815,1907,1908],{},[1818,1909,1910,1913,1916],{},[1821,1911,1912],{},"层级",[1821,1914,1915],{},"学习标准",[1821,1917,1918],{},"扩展任务",[1831,1920,1921,1932],{},[1818,1922,1923,1926,1929],{},[1836,1924,1925],{},"本科生",[1836,1927,1928],{},"能定义变量、解释 OLS、计算置信区间、识别常见偏误并完成基础实证报告。",[1836,1930,1931],{},"比较不同标准误、函数形式和样本划分。",[1818,1933,1934,1937,1940],{},[1836,1935,1936],{},"研究生",[1836,1938,1939],{},"能写出识别假设、渐近方差、估计对象和推断策略。",[1836,1941,1942],{},"处理弱识别、有限样本、非线性、聚类结构、模型选择和外部有效性。",[1794,1944,1945],{"id":1945},"先修与诊断",[1798,1947,1948],{},"需要掌握概率分布、期望方差、条件期望、线性代数、微积分和基础编程。开始前回答：",[1812,1950,1951,1961],{},[1815,1952,1953],{},[1818,1954,1955,1958],{},[1821,1956,1957],{},"问题",[1821,1959,1960],{},"强答案应包含",[1831,1962,1963,1971,1979,2079,2087],{},[1818,1964,1965,1968],{},[1836,1966,1967],{},"样本均值为什么是随机变量？",[1836,1969,1970],{},"它随重复抽样变化，因此有抽样分布、方差和极限性质。",[1818,1972,1973,1976],{},[1836,1974,1975],{},"相关系数为零是否表示独立？",[1836,1977,1978],{},"一般不表示；在线性或特定分布条件下才有更强结论。",[1818,1980,1981,2076],{},[1836,1982,1983,2075],{},[1984,1985,1988,2018],"span",{"className":1986},[1987],"katex",[1984,1989,1992],{"className":1990},[1991],"katex-mathml",[1993,1994,1996],"math",{"xmlns":1995},"http:\u002F\u002Fwww.w3.org\u002F1998\u002FMath\u002FMathML",[1997,1998,1999,2013],"semantics",{},[2000,2001,2002],"mrow",{},[2003,2004,2005,2009],"msup",{},[2006,2007,2008],"mi",{},"R",[2010,2011,2012],"mn",{},"2",[2014,2015,2017],"annotation",{"encoding":2016},"application\u002Fx-tex","R^2",[1984,2019,2023],{"className":2020,"ariaHidden":2022},[2021],"katex-html","true",[1984,2024,2027,2032],{"className":2025},[2026],"base",[1984,2028],{"className":2029,"style":2031},[2030],"strut","height:0.8141em;",[1984,2033,2036,2041],{"className":2034},[2035],"mord",[1984,2037,2008],{"className":2038,"style":2040},[2035,2039],"mathnormal","margin-right:0.0077em;",[1984,2042,2045],{"className":2043},[2044],"msupsub",[1984,2046,2049],{"className":2047},[2048],"vlist-t",[1984,2050,2053],{"className":2051},[2052],"vlist-r",[1984,2054,2057],{"className":2055,"style":2031},[2056],"vlist",[1984,2058,2060,2065],{"style":2059},"top:-3.063em;margin-right:0.05em;",[1984,2061],{"className":2062,"style":2064},[2063],"pstrut","height:2.7em;",[1984,2066,2072],{"className":2067},[2068,2069,2070,2071],"sizing","reset-size6","size3","mtight",[1984,2073,2012],{"className":2074},[2035,2071]," 很高是否说明因果关系可信？",[1836,2077,2078],{},"不说明；拟合优度与识别假设是不同问题。",[1818,2080,2081,2084],{},[1836,2082,2083],{},"为什么要使用聚类标准误？",[1836,2085,2086],{},"同一组内误差可能相关，普通标准误会低估不确定性。",[1818,2088,2089,2092],{},[1836,2090,2091],{},"控制变量是否越多越好？",[1836,2093,2094],{},"可能加入坏控制、碰撞变量或中介变量，改变目标参数。",[1794,2096,2098],{"id":2097},"贯穿例子教育与工资","贯穿例子：教育与工资",[1798,2100,2101],{},"一个典型问题是教育年限是否提高工资。简单回归为：",[1984,2103,2106],{"className":2104},[2105],"katex-display",[1984,2107,2109,2215],{"className":2108},[1987],[1984,2110,2112],{"className":2111},[1991],[1993,2113,2115],{"xmlns":1995,"display":2114},"block",[1997,2116,2117,2212],{},[2000,2118,2119,2122,2126,2130,2133,2136,2139,2148,2151,2154,2162,2165,2172,2174,2177,2180,2183,2185,2188,2190,2193,2200,2202,2208],{},[2006,2120,2121],{},"log",[2123,2124,2125],"mo",{},"⁡",[2123,2127,2129],{"stretchy":2128},"false","(",[2006,2131,2132],{},"w",[2006,2134,2135],{},"a",[2006,2137,2138],{},"g",[2140,2141,2142,2145],"msub",{},[2006,2143,2144],{},"e",[2006,2146,2147],{},"i",[2123,2149,2150],{"stretchy":2128},")",[2123,2152,2153],{},"=",[2140,2155,2156,2159],{},[2006,2157,2158],{},"β",[2010,2160,2161],{},"0",[2123,2163,2164],{},"+",[2140,2166,2167,2169],{},[2006,2168,2158],{},[2010,2170,2171],{},"1",[2006,2173,2144],{},[2006,2175,2176],{},"d",[2006,2178,2179],{},"u",[2006,2181,2182],{},"c",[2006,2184,2135],{},[2006,2186,2187],{},"t",[2006,2189,2147],{},[2006,2191,2192],{},"o",[2140,2194,2195,2198],{},[2006,2196,2197],{},"n",[2006,2199,2147],{},[2123,2201,2164],{},[2140,2203,2204,2206],{},[2006,2205,2179],{},[2006,2207,2147],{},[2006,2209,2211],{"mathvariant":2210},"normal",".",[2014,2213,2214],{"encoding":2016},"\\log(wage_i)=\\beta_0+\\beta_1 education_i+u_i.",[1984,2216,2218,2310,2371,2490],{"className":2217,"ariaHidden":2022},[2021],[1984,2219,2221,2225,2233,2237,2241,2244,2248,2294,2298,2303,2307],{"className":2220},[2026],[1984,2222],{"className":2223,"style":2224},[2030],"height:1em;vertical-align:-0.25em;",[1984,2226,2229,2230],{"className":2227},[2228],"mop","lo",[1984,2231,2138],{"style":2232},"margin-right:0.0139em;",[1984,2234,2129],{"className":2235},[2236],"mopen",[1984,2238,2132],{"className":2239,"style":2240},[2035,2039],"margin-right:0.0269em;",[1984,2242,2135],{"className":2243},[2035,2039],[1984,2245,2138],{"className":2246,"style":2247},[2035,2039],"margin-right:0.0359em;",[1984,2249,2251,2254],{"className":2250},[2035],[1984,2252,2144],{"className":2253},[2035,2039],[1984,2255,2257],{"className":2256},[2044],[1984,2258,2261,2285],{"className":2259},[2048,2260],"vlist-t2",[1984,2262,2264,2280],{"className":2263},[2052],[1984,2265,2268],{"className":2266,"style":2267},[2056],"height:0.3117em;",[1984,2269,2271,2274],{"style":2270},"top:-2.55em;margin-left:0em;margin-right:0.05em;",[1984,2272],{"className":2273,"style":2064},[2063],[1984,2275,2277],{"className":2276},[2068,2069,2070,2071],[1984,2278,2147],{"className":2279},[2035,2039,2071],[1984,2281,2284],{"className":2282},[2283],"vlist-s","​",[1984,2286,2288],{"className":2287},[2052],[1984,2289,2292],{"className":2290,"style":2291},[2056],"height:0.15em;",[1984,2293],{},[1984,2295,2150],{"className":2296},[2297],"mclose",[1984,2299],{"className":2300,"style":2302},[2301],"mspace","margin-right:0.2778em;",[1984,2304,2153],{"className":2305},[2306],"mrel",[1984,2308],{"className":2309,"style":2302},[2301],[1984,2311,2313,2317,2360,2364,2368],{"className":2312},[2026],[1984,2314],{"className":2315,"style":2316},[2030],"height:0.8889em;vertical-align:-0.1944em;",[1984,2318,2320,2324],{"className":2319},[2035],[1984,2321,2158],{"className":2322,"style":2323},[2035,2039],"margin-right:0.0528em;",[1984,2325,2327],{"className":2326},[2044],[1984,2328,2330,2352],{"className":2329},[2048,2260],[1984,2331,2333,2349],{"className":2332},[2052],[1984,2334,2337],{"className":2335,"style":2336},[2056],"height:0.3011em;",[1984,2338,2340,2343],{"style":2339},"top:-2.55em;margin-left:-0.0528em;margin-right:0.05em;",[1984,2341],{"className":2342,"style":2064},[2063],[1984,2344,2346],{"className":2345},[2068,2069,2070,2071],[1984,2347,2161],{"className":2348},[2035,2071],[1984,2350,2284],{"className":2351},[2283],[1984,2353,2355],{"className":2354},[2052],[1984,2356,2358],{"className":2357,"style":2291},[2056],[1984,2359],{},[1984,2361],{"className":2362,"style":2363},[2301],"margin-right:0.2222em;",[1984,2365,2164],{"className":2366},[2367],"mbin",[1984,2369],{"className":2370,"style":2363},[2301],[1984,2372,2374,2377,2417,2420,2423,2426,2429,2432,2435,2438,2441,2481,2484,2487],{"className":2373},[2026],[1984,2375],{"className":2376,"style":2316},[2030],[1984,2378,2380,2383],{"className":2379},[2035],[1984,2381,2158],{"className":2382,"style":2323},[2035,2039],[1984,2384,2386],{"className":2385},[2044],[1984,2387,2389,2409],{"className":2388},[2048,2260],[1984,2390,2392,2406],{"className":2391},[2052],[1984,2393,2395],{"className":2394,"style":2336},[2056],[1984,2396,2397,2400],{"style":2339},[1984,2398],{"className":2399,"style":2064},[2063],[1984,2401,2403],{"className":2402},[2068,2069,2070,2071],[1984,2404,2171],{"className":2405},[2035,2071],[1984,2407,2284],{"className":2408},[2283],[1984,2410,2412],{"className":2411},[2052],[1984,2413,2415],{"className":2414,"style":2291},[2056],[1984,2416],{},[1984,2418,2144],{"className":2419},[2035,2039],[1984,2421,2176],{"className":2422},[2035,2039],[1984,2424,2179],{"className":2425},[2035,2039],[1984,2427,2182],{"className":2428},[2035,2039],[1984,2430,2135],{"className":2431},[2035,2039],[1984,2433,2187],{"className":2434},[2035,2039],[1984,2436,2147],{"className":2437},[2035,2039],[1984,2439,2192],{"className":2440},[2035,2039],[1984,2442,2444,2447],{"className":2443},[2035],[1984,2445,2197],{"className":2446},[2035,2039],[1984,2448,2450],{"className":2449},[2044],[1984,2451,2453,2473],{"className":2452},[2048,2260],[1984,2454,2456,2470],{"className":2455},[2052],[1984,2457,2459],{"className":2458,"style":2267},[2056],[1984,2460,2461,2464],{"style":2270},[1984,2462],{"className":2463,"style":2064},[2063],[1984,2465,2467],{"className":2466},[2068,2069,2070,2071],[1984,2468,2147],{"className":2469},[2035,2039,2071],[1984,2471,2284],{"className":2472},[2283],[1984,2474,2476],{"className":2475},[2052],[1984,2477,2479],{"className":2478,"style":2291},[2056],[1984,2480],{},[1984,2482],{"className":2483,"style":2363},[2301],[1984,2485,2164],{"className":2486},[2367],[1984,2488],{"className":2489,"style":2363},[2301],[1984,2491,2493,2497,2537],{"className":2492},[2026],[1984,2494],{"className":2495,"style":2496},[2030],"height:0.5806em;vertical-align:-0.15em;",[1984,2498,2500,2503],{"className":2499},[2035],[1984,2501,2179],{"className":2502},[2035,2039],[1984,2504,2506],{"className":2505},[2044],[1984,2507,2509,2529],{"className":2508},[2048,2260],[1984,2510,2512,2526],{"className":2511},[2052],[1984,2513,2515],{"className":2514,"style":2267},[2056],[1984,2516,2517,2520],{"style":2270},[1984,2518],{"className":2519,"style":2064},[2063],[1984,2521,2523],{"className":2522},[2068,2069,2070,2071],[1984,2524,2147],{"className":2525},[2035,2039,2071],[1984,2527,2284],{"className":2528},[2283],[1984,2530,2532],{"className":2531},[2052],[1984,2533,2535],{"className":2534,"style":2291},[2056],[1984,2536],{},[1984,2538,2211],{"className":2539},[2035],[1798,2541,2542,2612],{},[1984,2543,2545,2563],{"className":2544},[1987],[1984,2546,2548],{"className":2547},[1991],[1993,2549,2550],{"xmlns":1995},[1997,2551,2552,2560],{},[2000,2553,2554],{},[2140,2555,2556,2558],{},[2006,2557,2158],{},[2010,2559,2171],{},[2014,2561,2562],{"encoding":2016},"\\beta_1",[1984,2564,2566],{"className":2565,"ariaHidden":2022},[2021],[1984,2567,2569,2572],{"className":2568},[2026],[1984,2570],{"className":2571,"style":2316},[2030],[1984,2573,2575,2578],{"className":2574},[2035],[1984,2576,2158],{"className":2577,"style":2323},[2035,2039],[1984,2579,2581],{"className":2580},[2044],[1984,2582,2584,2604],{"className":2583},[2048,2260],[1984,2585,2587,2601],{"className":2586},[2052],[1984,2588,2590],{"className":2589,"style":2336},[2056],[1984,2591,2592,2595],{"style":2339},[1984,2593],{"className":2594,"style":2064},[2063],[1984,2596,2598],{"className":2597},[2068,2069,2070,2071],[1984,2599,2171],{"className":2600},[2035,2071],[1984,2602,2284],{"className":2603},[2283],[1984,2605,2607],{"className":2606},[2052],[1984,2608,2610],{"className":2609,"style":2291},[2056],[1984,2611],{}," 的回归含义是教育年限与工资对数的条件线性关系；要解释成教育的因果回报，还需要假设教育与潜在工资中的未观测能力、家庭背景和偏好没有共同变化，或者用更可信的设计处理内生性。",[1798,2614,2615],{},"如果能力同时提高教育和工资，OLS 可能高估教育回报；如果教育选择与未观测因素方向复杂，偏误方向未必确定。加入可观测控制变量可以改变比较对象，但不能自动解决未观测混淆。",[1794,2617,2618],{"id":2618},"课程章节",[1812,2620,2621,2637],{},[1815,2622,2623],{},[1818,2624,2625,2628,2631,2634],{},[1821,2626,2627],{},"章节",[1821,2629,2630],{},"主题",[1821,2632,2633],{},"重点",[1821,2635,2636],{},"页面",[1831,2638,2639,2656,2673,2690,2707,2724,2741,2758,2775],{},[1818,2640,2641,2644,2647,2650],{},[1836,2642,2643],{},"01",[1836,2645,2646],{},"数据、概率与回归对象",[1836,2648,2649],{},"变量、样本、条件期望、目标参数",[1836,2651,2652],{},[2135,2653,2655],{"href":2654},".\u002F01-data-and-regression","进入第一章",[1818,2657,2658,2661,2664,2667],{},[1836,2659,2660],{},"02",[1836,2662,2663],{},"OLS 与几何解释",[1836,2665,2666],{},"投影、偏误、FWL、函数形式",[1836,2668,2669],{},[2135,2670,2672],{"href":2671},".\u002F02-ols-and-geometry","进入第二章",[1818,2674,2675,2678,2681,2684],{},[1836,2676,2677],{},"03",[1836,2679,2680],{},"推断与稳健标准误",[1836,2682,2683],{},"t\u002FF 检验、异方差、聚类、bootstrap",[1836,2685,2686],{},[2135,2687,2689],{"href":2688},".\u002F03-inference-and-robustness","进入第三章",[1818,2691,2692,2695,2698,2701],{},[1836,2693,2694],{},"04",[1836,2696,2697],{},"内生性与工具变量",[1836,2699,2700],{},"IV、2SLS、弱工具与 LATE",[1836,2702,2703],{},[2135,2704,2706],{"href":2705},".\u002F04-endogeneity-and-iv","进入第四章",[1818,2708,2709,2712,2715,2718],{},[1836,2710,2711],{},"05",[1836,2713,2714],{},"面板与时间序列",[1836,2716,2717],{},"固定效应、动态、平稳性和预测",[1836,2719,2720],{},[2135,2721,2723],{"href":2722},".\u002F05-panel-and-time-series","进入第五章",[1818,2725,2726,2729,2732,2735],{},[1836,2727,2728],{},"06",[1836,2730,2731],{},"估计与因果设计",[1836,2733,2734],{},"MLE、GMM、实验、DID、RDD 的共同基础",[1836,2736,2737],{},[2135,2738,2740],{"href":2739},".\u002F06-estimation-and-causal-design","进入第六章",[1818,2742,2743,2746,2749,2752],{},[1836,2744,2745],{},"07",[1836,2747,2748],{},"可重复实证项目",[1836,2750,2751],{},"数据字典、代码、表格、审计与写作",[1836,2753,2754],{},[2135,2755,2757],{"href":2756},".\u002F07-reproducible-project","进入第七章",[1818,2759,2760,2763,2766,2769],{},[1836,2761,2762],{},"08",[1836,2764,2765],{},"浏览器回归实验",[1836,2767,2768],{},"OLS、遗漏变量、稳健推断、IV、固定效应与 Bootstrap",[1836,2770,2771],{},[2135,2772,2774],{"href":2773},".\u002F08-interactive-regression-labs","进入实验课",[1818,2776,2777,2780,2783,2786],{},[1836,2778,2779],{},"09",[1836,2781,2782],{},"前沿文献与现代计量",[1836,2784,2785],{},"交错处理、稳健事件研究与多模态 DML 如何改变估计对象？",[1836,2787,2788],{},[2135,2789,2791],{"href":2790},".\u002F09-frontier-literature-2026","进入前沿课",[1794,2793,2795],{"id":2794},"_13-周路线","13 周路线",[1812,2797,2798,2812],{},[1815,2799,2800],{},[1818,2801,2802,2806,2809],{},[1821,2803,2805],{"align":2804},"right","周次",[1821,2807,2808],{},"本科生任务",[1821,2810,2811],{},"研究生扩展",[1831,2813,2814,2824,2834,2845,2856,2867,2878,2889,2900,2911,2922,2932,2943],{},[1818,2815,2816,2818,2821],{},[1836,2817,2171],{"align":2804},[1836,2819,2820],{},"概率、抽样与变量定义",[1836,2822,2823],{},"条件期望与投影定理",[1818,2825,2826,2828,2831],{},[1836,2827,2012],{"align":2804},[1836,2829,2830],{},"CEF、线性投影和相关",[1836,2832,2833],{},"函数空间与最优预测",[1818,2835,2836,2839,2842],{},[1836,2837,2838],{"align":2804},"3",[1836,2840,2841],{},"OLS 推导和解释",[1836,2843,2844],{},"矩阵渐近与识别",[1818,2846,2847,2850,2853],{},[1836,2848,2849],{"align":2804},"4",[1836,2851,2852],{},"偏误、函数形式和 FWL",[1836,2854,2855],{},"高维控制与正则化直觉",[1818,2857,2858,2861,2864],{},[1836,2859,2860],{"align":2804},"5",[1836,2862,2863],{},"t\u002FF 检验和置信区间",[1836,2865,2866],{},"Wald、LM、LR 与局部渐近",[1818,2868,2869,2872,2875],{},[1836,2870,2871],{"align":2804},"6",[1836,2873,2874],{},"异方差、聚类和 bootstrap",[1836,2876,2877],{},"多维聚类、随机化推断",[1818,2879,2880,2883,2886],{},[1836,2881,2882],{"align":2804},"7",[1836,2884,2885],{},"内生性与 IV 直觉",[1836,2887,2888],{},"2SLS、弱 IV、LIML、LATE",[1818,2890,2891,2894,2897],{},[1836,2892,2893],{"align":2804},"8",[1836,2895,2896],{},"面板固定效应",[1836,2898,2899],{},"动态面板与序列相关",[1818,2901,2902,2905,2908],{},[1836,2903,2904],{"align":2804},"9",[1836,2906,2907],{},"时间序列基础",[1836,2909,2910],{},"单位根、协整和局部投影",[1818,2912,2913,2916,2919],{},[1836,2914,2915],{"align":2804},"10",[1836,2917,2918],{},"极大似然与 GMM 概览",[1836,2920,2921],{},"识别、矩条件和过度识别",[1818,2923,2924,2927,2929],{},[1836,2925,2926],{"align":2804},"11",[1836,2928,2765],{},[1836,2930,2931],{},"用 Python\u002FR 复现 OLS、IV、固定效应与 Bootstrap",[1818,2933,2934,2937,2940],{},[1836,2935,2936],{"align":2804},"12",[1836,2938,2939],{},"前沿文献与估计对象审计",[1836,2941,2942],{},"交错 DID、插补估计与多模态 DML",[1818,2944,2945,2948,2951],{},[1836,2946,2947],{"align":2804},"13",[1836,2949,2950],{},"研究报告与口头答辩",[1836,2952,2953],{},"论文式写作、敏感性分析和研究设计评审",[1794,2955,2956],{"id":2956},"实证工作流检查清单",[2958,2959,2962,2972,2978,2984,2990,2996,3002,3008],"ul",{"className":2960},[2961],"contains-task-list",[1877,2963,2966,2971],{"className":2964},[2965],"task-list-item",[2967,2968],"input",{"disabled":2969,"type":2970},true,"checkbox"," 经济问题和目标参数写成一句完整的话。",[1877,2973,2975,2977],{"className":2974},[2965],[2967,2976],{"disabled":2969,"type":2970}," 每个变量有定义、单位、时间和观测范围。",[1877,2979,2981,2983],{"className":2980},[2965],[2967,2982],{"disabled":2969,"type":2970}," 模型假设与识别假设分开写。",[1877,2985,2987,2989],{"className":2986},[2965],[2967,2988],{"disabled":2969,"type":2970}," 估计量与标准误匹配数据的依赖结构。",[1877,2991,2993,2995],{"className":2992},[2965],[2967,2994],{"disabled":2969,"type":2970}," 系数有单位、数量级和置信区间解释。",[1877,2997,2999,3001],{"className":2998},[2965],[2967,3000],{"disabled":2969,"type":2970}," 主要结果有至少一种合理的稳健性检查。",[1877,3003,3005,3007],{"className":3004},[2965],[2967,3006],{"disabled":2969,"type":2970}," 没有把预测准确率当成因果识别证据。",[1877,3009,3011,3013],{"className":3010},[2965],[2967,3012],{"disabled":2969,"type":2970}," 数据、代码和输出表格可以被另一位研究者重新运行。",[1794,3015,3016],{"id":3016},"推荐教材",[2958,3018,3019,3027,3034,3040],{},[1877,3020,3021,3022,3026],{},"Wooldridge, ",[3023,3024,3025],"em",{},"Introductory Econometrics","：本科生回归与应用的主线。",[1877,3028,3029,3030,3033],{},"Hayashi, ",[3023,3031,3032],{},"Econometrics","：研究生理论、渐近和 GMM 参考。",[1877,3035,3036,3037,3039],{},"Hansen, ",[3023,3038,3032],{},"：现代研究生计量学与在线教材。",[1877,3041,3042,3043,3046],{},"Angrist and Pischke, ",[3023,3044,3045],{},"Mostly Harmless Econometrics","：把计量工具连接到因果研究设计。",[1794,3048,3049],{"id":3049},"内容支撑与计算约定",[1798,3051,3052],{},"每个估计结果都应同时回答五个问题：目标参数是什么、识别来自哪里、估计量怎样构造、标准误为何匹配数据结构、结论对哪些设定敏感。公式推导以 Wooldridge、Hayashi 与 Hansen 的标准结果为基线；应用解释则以可重复的数据生成过程和模拟实验校验。",[1798,3054,3055,3057],{},[2135,3056,2765],{"href":2773},"为同一问题同时提供 Python 与 R 实现。代码只使用当前站点已经接入的 Pyodide、webR 及其可用基础包，点击运行即可修改样本量、误差结构和处理强度。合成数据用于隔离统计机制，不应被误读为真实经验结论。",[1798,3059,3060,3061,3064],{},"先完成本课程的估计与推断基础，再进入",[2135,3062,1468],{"href":3063},"..\u002Fmicroeconometrics\u002F","，把“会估计”推进到“能构造可信反事实”。",{"title":10,"searchDepth":3066,"depth":3066,"links":3067},2,[3068,3069,3070,3071,3072,3073,3074,3075,3076,3077,3078],{"id":1796,"depth":3066,"text":1796},{"id":1810,"depth":3066,"text":1810},{"id":1869,"depth":3066,"text":1869},{"id":1903,"depth":3066,"text":1903},{"id":1945,"depth":3066,"text":1945},{"id":2097,"depth":3066,"text":2098},{"id":2618,"depth":3066,"text":2618},{"id":2794,"depth":3066,"text":2795},{"id":2956,"depth":3066,"text":2956},{"id":3016,"depth":3066,"text":3016},{"id":3049,"depth":3066,"text":3049},"面向本科生与研究生的计量经济学基础课程，从数据、回归和推断进入内生性、面板、时间序列与可重复实证。","md",{"sidebar":3082},{"order":3083},0,{"title":1324,"description":3079},"VTXdCpyfU6OgZiPEQFXU5WpnBoLRJltwF-_9z9mXCzk",[3087,3089],{"title":1320,"path":1321,"stem":1322,"description":3088,"children":-1},"通过深度资产定价、因子复现与公司气候暴露研究连接无套利、模型选择、文本度量和样本外检验。",{"title":1330,"path":1331,"stem":1332,"description":3090,"children":-1},"从样本、总体、条件期望和线性投影开始建立计量经济学语言。",1785754748204]