Causal Inference - Tag - 滑翔闪'S BLOG

Causal Inference - Tag - 滑翔闪'S BLOGhttps://blog.huaxiangshan.com/en/tags/causal-inference/滑翔闪'S BLOGHugo 0.169.0 & FixIt v1.0.0-rcen1450169683@qq.com (滑翔闪)1450169683@qq.com (滑翔闪)This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.Tue, 01 Apr 2025 15:30:19 +0800 Judge IV (Examiner Designs): Causal Inference via Random Assignmenthttps://blog.huaxiangshan.com/en/posts/judge_iv/Tue, 01 Apr 2025 15:30:19 +08001450169683@qq.com (滑翔闪)https://blog.huaxiangshan.com/en/posts/judge_iv/Economic StudiesAn introduction to an emerging instrumental variable, judge IV. Its strength is that it can further test random assignment, monotonicity, and the exclusion restriction of the instrument.Distortion or Surprise: Making Policy Evaluation Interestinghttps://blog.huaxiangshan.com/en/posts/zcpg/Wed, 19 Mar 2025 22:22:19 +08001450169683@qq.com (滑翔闪)https://blog.huaxiangshan.com/en/posts/zcpg/Economic StudiesAn introduction to three papers and how their research design makes policy evaluation narratives more compelling. Econometrics: Event Studies 3https://blog.huaxiangshan.com/en/posts/event3/Thu, 24 Oct 2024 22:00:19 +08001450169683@qq.com (滑翔闪)https://blog.huaxiangshan.com/en/posts/event3/Economic StudiesIntroducing the plotting code for coefplot, eventplot, eventdd, and cnreg in event studies. Pensions and Fertilityhttps://blog.huaxiangshan.com/en/posts/paf/Sat, 13 Jul 2024 17:52:19 +08001450169683@qq.com (滑翔闪)https://blog.huaxiangshan.com/en/posts/paf/Economic StudiesNotes on the AER paper ‘Pensions and Fertility: Microeconomic Evidence’. It uses microdata to study the relationship between pensions and fertility. Expanding pension coverage lowers fertility. Econometrics: Event Studies 2https://blog.huaxiangshan.com/en/posts/event2/Mon, 24 Jun 2024 07:52:19 +08001450169683@qq.com (滑翔闪)https://blog.huaxiangshan.com/en/posts/event2/Economic StudiesSummarizing the code for event studies, based on ‘An Introductory Guide to Event Study Models’. Econometrics: Event Studies 1https://blog.huaxiangshan.com/en/posts/event1/Thu, 20 Jun 2024 18:52:19 +08001450169683@qq.com (滑翔闪)https://blog.huaxiangshan.com/en/posts/event1/Economic StudiesNotes on how to use event studies, based on ‘An Introductory Guide to Event Study Models’.Econometrics: Is the log(y+1) transformation reliable?https://blog.huaxiangshan.com/en/posts/log0/Sun, 12 May 2024 17:59:49 +08001450169683@qq.com (滑翔闪)https://blog.huaxiangshan.com/en/posts/log0/Economic StudiesReading notes on ‘Logs with Zeros? Some Problems and Solutions’. When the variable being transformed includes zeros, the log(y+1) transformation has some limits in treatment-effect estimation.Causal Effechttps://blog.huaxiangshan.com/en/posts/effect/Wed, 28 Feb 2024 18:27:40 +08001450169683@qq.com (滑翔闪)https://blog.huaxiangshan.com/en/posts/effect/Economic StudiesThis paper is a learning note on the recognition effect of causal inference methods, introducing the relationship between ATE, ATT, RCT, ITT, LATE