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Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications. International contributors expertly investigate the development of advanced methods driven by the accumulation of numerous data sets at the level of individuals, households and firms, and by an increase in the capacity and speed of computers. The Handbook highlights that, while the more traditional empirical methods were largely limited to establishing correlations, these new methods aim to uncover causality. Examination of these advances shows new possibilities for applied research in microeconomics in the estimation of sophisticated structural models and the evaluation of policy interventions. This insightful Handbook is a must-read for graduate students and instructors in applied microeconomics as well as researchers in government departments and academia pursuing modern advanced methods of policy evaluation and data analysis.
Edited by Nigar Hashimzade, Professor, Department of Economics and Finance, Brunel University London and Michael A. Thornton, Senior Lecturer, Department of Economics and Related Studies, University of York, UK
Contents:Introduction to the Handbook of Research Methods and Applicationsin Empirical Microeconomics ixNigar Hashimzade and Michael A. ThorntonPART I ECONOMETRIC METHODS IN MICROECONOMICS1 Linear dynamic panel data models 2Ryo Okui2 Spatial autoregressive nonlinear models in R with an empiricalapplication in labour economics 23Anna Gloria Billé3 Econometric analyses of auctions: a selective review 42Tong Li and Xiaoyong Zheng4 An introduction to flexible methods for policy evaluation 82Martin HuberPART II HOUSEHOLDS, BUSINESSES AND SOCIETIES5 Econometric models of fertility 113Alfonso Miranda and Pravin K. Trivedi6 Measuring discrimination in the labour market 155Emmanuel Duguet7 Microeconomic models for designing and evaluating tax-transfer systems 195Ugo Colombino8 Bounds on counterfactuals in semiparametric discrete-choice models 223Khai X. Chiong, Yu-Wei Hsieh and Matthew Shum9 Bank performance analysis 238Natalya Zelenyuk and Valentin Zelenyuk10 Empirical methods in social epidemiology 280Christopher F. BaumPART III POLICY EVALUATION AND CAUSALITY11 Policy evaluation using causal inference methods 294Denis Fougère and Nicolas Jacquemet12 Regression discontinuity designs in policy evaluation 325Otávio Bartalotti, Marinho Bertanha and Sebastian Calonico13 Measuring the effect of health events in the labour market 359Emmanuel DuguetPART IV NETWORKS AND BIG DATA IN MICROECONOMICS14 Exploring social media: Twitteronomics and beyond 388Tho Pham, Piotr Śpiewanowski and Oleksandr Talavera15 Econometrics of networks with limited access to network data: aliterature survey 416Pedro C.L. Souza16 Machine learning for causal inference: estimating heterogeneoustreatment effects 438Vishalie Shah, Noemi Kreif and Andrew M. JonesPART V STATA AND R IN MICROECONOMETRIC APPLICATIONS17 Stochastic frontier analysis in Stata: using existing and coding new commands 489Oleg Badunenko18 Modern R workflow and tools for microeconometric data analysis 518Giovanni Baiocchi19 Robust inference in panel data microeconometrics, using R 564Giovanni Millo20 Econometric estimation of the “Constant Elasticity of Substitution”function in R: the micEconCES package 596Arne Henningsen, Géraldine Henningsen and Gergő LiterátiIndex 641