Description
Book SynopsisWritten 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.
Table of ContentsContents: Introduction to the Handbook of Research Methods and Applications in Empirical Microeconomics ix Nigar Hashimzade and Michael A. Thornton PART I ECONOMETRIC METHODS IN MICROECONOMICS 1 Linear dynamic panel data models 2 Ryo Okui 2 Spatial autoregressive nonlinear models in R with an empirical application in labour economics 23 Anna Gloria Billé 3 Econometric analyses of auctions: a selective review 42 Tong Li and Xiaoyong Zheng 4 An introduction to flexible methods for policy evaluation 82 Martin Huber PART II HOUSEHOLDS, BUSINESSES AND SOCIETIES 5 Econometric models of fertility 113 Alfonso Miranda and Pravin K. Trivedi 6 Measuring discrimination in the labour market 155 Emmanuel Duguet 7 Microeconomic models for designing and evaluating tax-transfer systems 195 Ugo Colombino 8 Bounds on counterfactuals in semiparametric discrete-choice models 223 Khai X. Chiong, Yu-Wei Hsieh and Matthew Shum 9 Bank performance analysis 238 Natalya Zelenyuk and Valentin Zelenyuk 10 Empirical methods in social epidemiology 280 Christopher F. Baum PART III POLICY EVALUATION AND CAUSALITY 11 Policy evaluation using causal inference methods 294 Denis Fougère and Nicolas Jacquemet 12 Regression discontinuity designs in policy evaluation 325 Otávio Bartalotti, Marinho Bertanha and Sebastian Calonico 13 Measuring the effect of health events in the labour market 359 Emmanuel Duguet PART IV NETWORKS AND BIG DATA IN MICROECONOMICS 14 Exploring social media: Twitteronomics and beyond 388 Tho Pham, Piotr Śpiewanowski and Oleksandr Talavera 15 Econometrics of networks with limited access to network data: a literature survey 416 Pedro C.L. Souza 16 Machine learning for causal inference: estimating heterogeneous treatment effects 438 Vishalie Shah, Noemi Kreif and Andrew M. Jones PART V STATA AND R IN MICROECONOMETRIC APPLICATIONS 17 Stochastic frontier analysis in Stata: using existing and coding new commands 489 Oleg Badunenko 18 Modern R workflow and tools for microeconometric data analysis 518 Giovanni Baiocchi 19 Robust inference in panel data microeconometrics, using R 564 Giovanni Millo 20 Econometric estimation of the “Constant Elasticity of Substitution” function in R: the micEconCES package 596 Arne Henningsen, Géraldine Henningsen and Gergő Literáti Index 641
