Handbook of Research Methods and Applications in Empirical Microeconomics

Front Matter
Copyright
Contents
Contributors
Introduction to the Handbook of Research Methods and Applications in Empirical Microeconomics
PART I ECONOMETRIC METHODS IN MICROECONOMICS
1. Linear dynamic panel data models
2. Spatial autoregressive nonlinear models in R with an empirical application in labour economics
3. Econometric analyses of auctions: a selective review
4. An introduction to flexible methods for policy evaluation
PART II HOUSEHOLDS, BUSINESSES AND SOCIETIES
5. Econometric models of fertility
6. Measuring discrimination in the labour market
7. Microeconomic models for designing and evaluating tax-transfer systems
8. Bounds on counterfactuals in semiparametric discrete-choice models
9. Bank performance analysis
10. Empirical methods in social epidemiology
PART III POLICY EVALUATION AND CAUSALITY
11. Policy evaluation using causal inference methods
12. Regression discontinuity designs in policy evaluation
13. Measuring the effect of health events in the labour market
PART IV NETWORKS AND BIG DATA IN MICROECONOMICS
14. Exploring social media: Twitteronomics and beyond
15. Econometrics of networks with limited access to network data: a literature survey
16. Machine learning for causal inference: estimating heterogeneous treatment effects
PART V STATA AND R IN MICROECONOMETRIC APPLICATIONS
17. Stochastic frontier analysis in Stata: using existing and coding new commands
18. Modern R workflow and tools for microeconometric data analysis
19. Robust inference in panel data microeconometrics, using R
20. Econometric estimation of the “Constant Elasticity of Substitution” function in R: the micEconCES package
Index