Econometric evaluation of socio-economic programs theory and applications / [electronic resource] :

• 作者： Cerulli, Giovanni.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • Advanced studies in theoretical and applied econometrics ;
• 出版： Berlin, Heidelberg : Springer Berlin Heidelberg :Imprint: Springer
• 版本：Second edition.
• 叢書名： Advanced studies in theoretical and applied econometrics,v. 49
• 主題： Social service--Evaluation. , Social service--Data processing. , Econometrics. , Econometrics. , Statistics in Business, Management, Economics, Finance, Insurance. , International Political Economy. , Economic Policy. , Stata.
• ISBN： 9783662659458 (electronic bk.) 、 9783662659441 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Chapter 1. An Introduction to the Econometrics of Program Evaluation -- Chapter 2. Methods Based on Selection on Observables -- Chapter 3. Methods Based on Selection on Unobservables -- Chapter 4. Local Average Treatment Effect and Regression-Discontinuity-Design -- Chapter 5. Di?erence-in-di?erences with many pre- and post-treatment times -- Chapter 6. Synthetic Control Method.
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• 摘要註: This book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences. The author presents a comprehensive toolbox for designing rigorous and effective ex-post program evaluation using the statistical software package Stata. For each method, a statistical presentation is developed, followed by a practical estimation of the treatment effects. By using both real and simulated data, readers will become familiar with evaluation techniques, such as regression-adjustment, matching, difference-in-differences, instrumental-variables, regression-discontinuity-design, and synthetic control method, and are given practical guidelines for selecting and applying suitable methods for specific policy contexts. The second revised and extended edition features two new chapters on some recent development of difference-in-differences. Specifically, chapter 5 introduces advanced difference-in-differences methods when many times are available and treatment can be either time-varying or fixed at a specific time. Chapter 6 introduces the synthetic control method, a treatment effect estimation approach suitable when only one unit is treated. Both chapters present applications using the software Stata.
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