Causal inference: the mixtape
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New Haven ; London
Yale University Press
[2021]
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | x, 572 Seiten Illustrationen, Diagramme |
ISBN: | 9780300251685 |
Internformat
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Datensatz im Suchindex
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adam_text | Contents Acknowledgments................................................ Introduction............................................................................................ What Is Causal Inference? ............................................................ 1 3 Do Not Confuse Correlation with Causality................................. 6 Optimization Makes Everything Endogenous.............................. 8 Example: Identifying Price Elasticity of Demand........................ Conclusion...................................................................................... 10 14 Probability and Regression Review.................................................. 16 Directed Acyclic Graphs .................................................................... 96 Introduction to DAG Notation ...................................................... 97 Potential Outcomes Causal Model................................................... 119 Physical Randomization .............................................................. 123 Randomization Inference............................................................ 148 Conclusion..................................................................................... 174 Matching and Subclassification......................................................... 175 Subclassification............................................................................175 Exact Matching........................................................................... 191 Approximate Matching.................................................................
198 Regression Discontinuity................................................................... 241 Huge Popularity of Regression Discontinuity.............................241 Estimation Using an RDD ............................................................ 252 Challenges to Identification.........................................................282 Replicating a Popular Design: The Close Election ....................289 vii
viii Contents Regression Kink Design.................................................................... 312 Conclusion........................................................................................... 313 instrumental Variables.............................................................................315 History of Instrumental Variables: Father and Son.................... 315 Intuition of Instrumental Variables................................................ 319 Homogeneous Treatment Effects.................................................. 323 Parental Methamphetamine Abuse and Foster Care................ 329 The Problem of Weak Instruments................................................ 337 Heterogeneous Treatment Effects................................................ 346 Applications....................................................................................... 352 Popular IV Designs.............................................................................359 Conclusion...........................................................................................384 Panel Data..................................................................................................386 DAG Example..................................................................................... 386 Estimation.......................................................................................... 388 Data Exercise: Survey of Adult Service Providers....................... 396
Conclusion.......................................................................................... 405 Difference-in-Differences....................................................................... 406 John Snow s Cholera Hypothesis ..................................................406 Estimation......................................................................................... 411 Inference..............................................................................................423 Providing Evidence for Parallel Trends Through Event Studies and Parallel Leads..................................................................... 425 The Importance of Placebos in DD................................................433 Twoway Fixed Effects with Differential Timing...........................461 Conclusion.......................................................................................... 509 Synthetic Control................................................................................... 511 Introducing the Comparative Case Study.................................... 511 Prison Construction and Black Male Incarceration....................525 Conclusion................................................................................................. 540 Bibliography..............................................................................................541 Permissions ............................................................................................. 555
Index............................................................................................................561
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adam_txt |
Contents Acknowledgments. Introduction. What Is Causal Inference? . 1 3 Do Not Confuse Correlation with Causality. 6 Optimization Makes Everything Endogenous. 8 Example: Identifying Price Elasticity of Demand. Conclusion. 10 14 Probability and Regression Review. 16 Directed Acyclic Graphs . 96 Introduction to DAG Notation . 97 Potential Outcomes Causal Model. 119 Physical Randomization . 123 Randomization Inference. 148 Conclusion. 174 Matching and Subclassification. 175 Subclassification.175 Exact Matching. 191 Approximate Matching.
198 Regression Discontinuity. 241 Huge Popularity of Regression Discontinuity.241 Estimation Using an RDD . 252 Challenges to Identification.282 Replicating a Popular Design: The Close Election .289 vii
viii Contents Regression Kink Design. 312 Conclusion. 313 instrumental Variables.315 History of Instrumental Variables: Father and Son. 315 Intuition of Instrumental Variables. 319 Homogeneous Treatment Effects. 323 Parental Methamphetamine Abuse and Foster Care. 329 The Problem of Weak Instruments. 337 Heterogeneous Treatment Effects. 346 Applications. 352 Popular IV Designs.359 Conclusion.384 Panel Data.386 DAG Example. 386 Estimation. 388 Data Exercise: Survey of Adult Service Providers. 396
Conclusion. 405 Difference-in-Differences. 406 John Snow's Cholera Hypothesis .406 Estimation. 411 Inference.423 Providing Evidence for Parallel Trends Through Event Studies and Parallel Leads. 425 The Importance of Placebos in DD.433 Twoway Fixed Effects with Differential Timing.461 Conclusion. 509 Synthetic Control. 511 Introducing the Comparative Case Study. 511 Prison Construction and Black Male Incarceration.525 Conclusion. 540 Bibliography.541 Permissions . 555
Index.561 |
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dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 501 - Philosophy and theory |
dewey-raw | 501 |
dewey-search | 501 |
dewey-sort | 3501 |
dewey-tens | 500 - Natural sciences and mathematics |
discipline | Allgemeine Naturwissenschaft Soziologie Mathematik Wirtschaftswissenschaften |
discipline_str_mv | Allgemeine Naturwissenschaft Soziologie Mathematik Wirtschaftswissenschaften |
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isbn | 9780300251685 |
language | English |
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spelling | Cunningham, Scott 1975- Verfasser (DE-588)14317116X aut Causal inference the mixtape Scott Cunningham New Haven ; London Yale University Press [2021] © 2021 x, 572 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Methode (DE-588)4038971-6 gnd rswk-swf Stata (DE-588)4617285-3 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Methode (DE-588)4038971-6 s R Programm (DE-588)4705956-4 s Stata (DE-588)4617285-3 s DE-604 Erscheint auch als Online-Ausgabe 978-0-300-25588-1 (DE-604)BV047205476 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032468237&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Cunningham, Scott 1975- Causal inference the mixtape Methode (DE-588)4038971-6 gnd Stata (DE-588)4617285-3 gnd R Programm (DE-588)4705956-4 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
subject_GND | (DE-588)4038971-6 (DE-588)4617285-3 (DE-588)4705956-4 (DE-588)4055916-6 |
title | Causal inference the mixtape |
title_auth | Causal inference the mixtape |
title_exact_search | Causal inference the mixtape |
title_exact_search_txtP | Causal inference the mixtape |
title_full | Causal inference the mixtape Scott Cunningham |
title_fullStr | Causal inference the mixtape Scott Cunningham |
title_full_unstemmed | Causal inference the mixtape Scott Cunningham |
title_short | Causal inference |
title_sort | causal inference the mixtape |
title_sub | the mixtape |
topic | Methode (DE-588)4038971-6 gnd Stata (DE-588)4617285-3 gnd R Programm (DE-588)4705956-4 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
topic_facet | Methode Stata R Programm Sozialwissenschaften |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032468237&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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