{"product_id":"9783662659441","title":"Econometric Evaluation of Socio-Economic Programs : Theory and Applications (2ND)","description":"\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eThe second revised and extended edition features two new chapters on some recent development of difference-in-differences. Specifically, chapter 5 introduces advanceddifference-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.\u003c\/p\u003e 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 \u003cp\u003e \u003cb\u003eGiovanni Cerulli \u003c\/b\u003eis research director at CNR-IRCrES (National Research Council of Italy - Research Institute on Sustainable Economic Growth). He took a degree in Statistics and a PhD in Economic Sciences from Sapienza University of Rome. His research deals with two main subjects: causal inference (including program evaluation), and machine learning. He has developed both theoretical and applied econometric models for program evaluation, including dose-response models, treatment effect estimation with peer effects, and software development for quantitative evaluation purposes. He boasts a consolidated expertise in the evaluation of R\u0026amp;D and innovation policies. Giovanni Cerulli is editor-in-chief of the \"International Journal of Computational Economics and Econometrics\" (IJCEE), and coordinator of GRAPE (Research Group on the Analysis of Economic Policies). His publications have appeared in prestigious peer-reviewed scientific journals.\n \u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":52421641634103,"sku":"00000_00000_00000_00000","price":650.1,"currency_code":"MYR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0962\/3548\/7543\/files\/9783662659441-1.jpg?v=1783274787","url":"https:\/\/kinokuniya.com.my\/products\/9783662659441","provider":"Books Kinokuniya Malaysia","version":"1.0","type":"link"}