Titlebook: Econometric Evaluation of Socio-Economic Programs; Theory and Applicati Giovanni Cerulli Textbook 2022Latest edition Springer-Verlag GmbH G

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Textbook 2022Latest editionluation 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 eff

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1570-5811 onometric techniques for program evaluation.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 eff

AROMA

https://doi.org/10.1007/978-1-4613-1009-9es basically means that all the relevant information about the true nonrandom selection-into-treatment process, producing the observed sets of treated and untreated observations, is known to the analyst. Hence, by assumption, we are ruling out any possible presence of loosely defined . as hidden drivers of the selection process.

別名

https://doi.org/10.1007/978-3-031-21506-3basically, the vector of covariates .) is no longer possible. As a consequence, econometric methods based on the conditional independence assumption (CIA) reviewed in Chap. . are no longer appropriate for estimating the actual program effect on target variables.

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FLOAT

,Local Average Treatment Effect and?Regression-Discontinuity-Design,ion: the Local average treatment effect (LATE) and the Regression-discontinuity-design (RDD). Considered as nearly quasi-experimental methods, these approaches have recently been the subject of vigorous interest as tools for detecting causal effects of treatment on given target variables within a sp

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