000			02618nam a22002177a 4500
005			20251008110454.0
008			251006b |||||||| |||| 00| 0 eng d
020			_a9783662659472
082			_a330.015195 _bCER
100			_aCerulli, Giovanni _924861
245			_aEconometric evaluation of socio-economic programs: _btheory and application
250			_a2nd
260			_aCham _bSpringer _c2023
300			_axviii, 340 p.
365			_aEUR _b64.99
490			_aAdvanced Studies in Theoretical and Applied Econometrics; vol. 49
500			_aTable of contents: Front Matter Pages i-xviii Download chapter PDF An Introduction to the Econometrics of Program Evaluation Giovanni Cerulli Pages 1-46 Methods Based on Selection on Observables Giovanni Cerulli Pages 47-152 Methods Based on Selection on Unobservables Giovanni Cerulli Pages 153-216 Local Average Treatment Effect and Regression-Discontinuity-Design Giovanni Cerulli Pages 217-299 Difference-in-Differences with Many Pre- and Post-Treatment Times Giovanni Cerulli Pages 301-322 Synthetic Control Method Giovanni Cerulli Pages 323-340 [https://link.springer.com/book/10.1007/978-3-662-65945-8]
520			_aThis 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 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. (https://link.springer.com/book/10.1007/978-3-662-65945-8)
650			_aEconometrics
942			_cBK _2ddc
999			_c10276 _d10276