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The approach tracks changes around the event’s onset while controlling for fixed factors by area and time. This paper explains the design setup across scenarios and provides practical estimation considerations, including Stata implementation via eventdd, with examples and interaction guidance for related routines and libraries.",{"@graph":69,"@context":121},[70,84,104],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/implementing-the-panel-event-study-a-guide-for-estimation-and-visualization/665478/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":98,"encodingFormat":97,"isAccessibleForFree":99,"interactionStatistic":100},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/implementing-the-panel-event-study-a-guide-for-estimation-and-visualization/665478.png","ImageObject",300,407,{"name":92,"@type":93},"Rizky","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29",true,{"@type":101,"interactionType":102,"userInteractionCount":4},"InteractionCounter",{"@type":103},"ViewAction",{"@type":105,"mainEntity":106},"FAQPage",[107,113,117],{"name":108,"@type":109,"acceptedAnswer":110},"What is a panel event study design used for?","Question",{"text":111,"@type":112},"It is used to estimate the causal impact of an event or policy exposure over time using panel data, by comparing outcomes around the event to a baseline reference period.","Answer",{"name":114,"@type":109,"acceptedAnswer":115},"How does the paper position panel event studies relative to difference-in-differences?",{"text":116,"@type":112},"It describes panel event study models as a generalized extension of difference-in-differences or two-way fixed effect models, enabling dynamic lags and leads while controlling for fixed factors.",{"name":118,"@type":109,"acceptedAnswer":119},"What is eventdd, and how is it used?",{"text":120,"@type":112},"The paper describes a Stata command, eventdd, for simple estimation, inference, and visualization of event study models across different circumstances, including examples of its flexibility and compatibility with other routines and user-written libraries.","https://schema.org",{"og:url":83,"og:type":123,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":125,"canonical":83},"index,follow",{"doc_id":127,"site_id":62},665478,1793304406,{"code":4,"msg":5,"data":130},{"doc_id":127,"user_id":131,"nickname":92,"user_avatar":132,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":133,"file_id":134,"file_url":135,"file_type":136,"file_size":137,"view_count":4,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":138,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":128,"read_time":143},962085564807,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","DISCUSSION PAPER SERIES  \nIZA DP No. 13524  \nImplementing the Panel Event Study  \nDamian Clarke  \nKathya Tapia Schythe  \nJULY 2020  \nDISCUSSION PAPER SERIES  \nIZA DP No. 13524  \nImplementing the Panel Event Study  \nDamian Clarke  \nUniversity of Chile and IZA  \nKathya Tapia Schythe  \nUniversity of Santiago de Chile  \nJULY 2020  \nAny opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity.  \nThe IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world’s largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society.  \nIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.  \nISSN: 2365-9793  \nIZA – Institute of Labor Economics  \n\n| Schaumburg-Lippe-Straße 5–9 53113 Bonn, Germany | Phone: +49-228-3894-0\u003Cbr>Email: [publications@iza.org](publications@iza.org) | [www.iza.org](www.iza.org) |\n| --- | --- | --- |\n\nIZA DP No. 13524 JULY 2020  \nABSTRACT  \nImplementing the Panel Event Study  \nMany studies estimate the impact of exposure to some quasi-experimental policy or event using a panel event study design. These models, as a generalized extension of ‘differencein-differences’ or two-way fixed effect models, allow for dynamic lags and leads to the event of interest to be estimated, while also controlling for fixed factors (often) by area and time. In this paper we discuss the set-up of the panel event study design in a range of situations, and lay out a number of practical considerations for its estimation. We describe a Stata command eventdd that allows for simple estimation, inference, and visualization of event study models in a range of circumstances. We then provide a number of examples to illustrate eventdd’s use and flexibility, as well as its interaction with various native Stata routines, and other relevant user-written libraries such as reghdfe and boottest.  \nJEL Classification: C1, C13, C51, C54, C63, C87  \nKeywords: event studies, difference-in-differences, estimation, inference,  \nvisualization  \nCorresponding author:  \nDamian Clarke  \nUniversidad de Santiago de Chile  \nAv. Libertador Bernardo O’Higgins 3363 Estación Central  \nSantiago de Chile Chile  \nE-mail: damian.clarke@usach.cl  \n2 Panel Event Studies 1 Introduction  \nRecent developments in quasi-experimental methods have brought increasing attention to panel event study models. Using data covering a panel of observations (such as states) over time, the design seeks to estimate the impact of some event which occurs, or ‘switches on’ in certain units and certain time periods.1 They seek to use as counterfactuals the areas in which the policy or event does not occur, or has not yet occurred. By considering the variation in outcomes around the adoption of the event compared with a baseline reference period, both event lags and leads are estimated, allowing fora clear visual representation of the event’s causal impact provided that key identifying assumptions are met.  \nThese methods have been borne out of older difference-in-differences, or two-way fixed effect models. These models often seek to examine the impact of natural experiments, where events are assigned to certain units due to some process beyond the control of the analyst but owing to environmental or political factors (among others), and as such, generally do not assume that assi","cbCaifbwT3Zs9i0Z","https://ap.wps.com/l/cbCaifbwT3Zs9i0Z","pdf",340303,32,"English","# Abstract\n## Introduction\n## Estimation setup and practical considerations\n## Stata implementation and applications","[{\"question\":\"What is a panel event study design used for?\",\"answer\":\"It is used to estimate the causal impact of an event or policy exposure over time using panel data, by comparing outcomes around the event to a baseline reference period.\"},{\"question\":\"How does the paper position panel event studies relative to difference-in-differences?\",\"answer\":\"It describes panel event study models as a generalized extension of difference-in-differences or two-way fixed effect models, enabling dynamic lags and leads while controlling for fixed factors.\"},{\"question\":\"What is eventdd, and how is it used?\",\"answer\":\"The paper describes a Stata command, eventdd, for simple estimation, inference, and visualization of event study models across different circumstances, including examples of its flexibility and compatibility with other routines and user-written libraries.\"}]","Implementing the Panel Event Study - A Guide for Estimation and Visualization | PDF",81]