Fitting a Curve to the Pre-Trends
Códigos JEL.: C12, C13, C14
- Autores:
-
Arboleda Cárcamo, David
- Tipo de recurso:
- Work document
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/75163
- Acceso en línea:
- https://hdl.handle.net/1992/75163
- Palabra clave:
- Difference-in-Differences
Parallel trends
Event-study
Empirical validation
Robust estimation
Economía
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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Fitting a Curve to the Pre-Trends |
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Fitting a Curve to the Pre-Trends |
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Fitting a Curve to the Pre-Trends Difference-in-Differences Parallel trends Event-study Empirical validation Robust estimation Economía |
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Fitting a Curve to the Pre-Trends |
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Fitting a Curve to the Pre-Trends |
| title_fullStr |
Fitting a Curve to the Pre-Trends |
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Fitting a Curve to the Pre-Trends |
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Fitting a Curve to the Pre-Trends |
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Arboleda Cárcamo, David |
| dc.contributor.author.none.fl_str_mv |
Arboleda Cárcamo, David |
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Difference-in-Differences Parallel trends Event-study Empirical validation Robust estimation |
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Difference-in-Differences Parallel trends Event-study Empirical validation Robust estimation Economía |
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Economía |
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Códigos JEL.: C12, C13, C14 |
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2024 |
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2024-09-26T21:48:16Z |
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eng |
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Documentos CEDE; 2024-40 |
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50 páginas |
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Universidad de los Andes |
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Facultad de Economía |
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Arboleda Cárcamo, David2024-09-26T21:48:16Z2024-09-26T21:48:16Z2024-091657-7191https://hdl.handle.net/1992/75163Códigos JEL.: C12, C13, C14Event-study designs rely on the validity of an identification assumption commonly referred to as Generalized Parallel Trends (GPT). This paper focuses on the problem of performing consistent estimation and statistical inference over the treatment effects when GPT holds only after recursively differentiating the outcome variable. Under this milder assumption, I construct a correction method that yields consistent estimators for the causal effects of interest through linear transformations of an initial vector of estimated treatment effects, and that consequently does not require estimating any new parameters. The correction method also provides a natural statistical test to empirically validate the GPT assumption, which I compare against two other alternative test commonly employed in practice. Simulations under 12 different DGPs calibrated using top journal papers suggest that my new test always outperforms other two alternatives in every setting, with its power function being up to 160% greater, while inducing little to none pretesting bias when conditioning the analysis to the non-rejection of the null.Los diseños de estudios de eventos dependen de la validez de un supuesto de identificación llamado Tendencias Paralelas Generalizadas (GPT, por sus siglas en inglés). Este trabajo se enfoca en el problema de estimar consistentemente efectos de tratamiento y llevar a cabo inferencia estadística cuando GPT solo es válida tras diferenciar la variable de resultado. Bajo este supuesto menos restrictivo, construyo un método de corrección que provee estimadores consistentes de los efectos causales de interés por medio de transformaciones lineales de un vector inicial de efectos estimados, y que consecuentemente no requiere estimar parámetros adicionales. Este método de corrección también provee un test estadístico para comprobar empíricamente la validez de GPT, el cual comparo contra dos tests alternativos comúnmente empleados en la práctica. Simulaciones bajo 12 distintos PGDs, calibrados usando artículos académicos, sugieren que mi nuevo test siempre se desempeña mejor que las otras dos alternativas, y que su función de poder es hasta 160% mayor a la de los demás tests. Finalmente, encuentro que emplear este nuevo test induce poco no ningún sesgo por pretesting cuando el análisis se condiciona a no rechazar la hipótesis nula.50 páginasapplication/pdfengUniversidad de los AndesFacultad de EconomíaDocumentos CEDE; 2024-40https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Fitting a Curve to the Pre-TrendsDocumento de trabajoinfo:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_8042http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/WPDifference-in-DifferencesParallel trendsEvent-studyEmpirical validationRobust estimationEconomíaPublicationORIGINALdcede2024-40.pdfdcede2024-40.pdfapplication/pdf9920242https://repositorio.uniandes.edu.co/bitstreams/d1cabfd9-5782-4be1-b6d6-62c457ce438b/download225fabe7783910f210ce1eae07662adfMD51LICENSElicense.txtlicense.txttext/plain; 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