Empirical Development Economics

I. Linking Models to Data for Development 1. An Introduction to Empirical Development Economics 2. The Linear Regression Model and the OLS Estimator 3. Using and Extending the Simple Regression Model 4. The Distribution of the OLS Estimators and Hypothesis Testing 5. The Determinants of Earnings and Productivity 6. Modelling Growth with Time Series Data 7. The Implications of Variables Having a Unit Root 8. Exogenous and Endogenous Growth 9. Panel Data: An Introduction 10. Panel Estimators: POLS, RE, FE, FD 11. Instrumental Variables and Endogeneity 12. The Progamme Evaluation Approach to Development Policy 13. Models, Experiments and Calibration in Development Policy Analysis II. Modeling Development 14. Measurement, Models and Methods for Understanding Poverty 15. Maximum Likelihood Estimation 16. Modeling Choice: The LPM, Probit and Logit Models 17. Using Logit and Probit Models for Unemployment and School Choice 18. Corner Solutions: Modeling Investing in Children and by Firms 19. An introduction to structural modelling in development economics 20. Structural methods and the return to education 21. Sample Selection: Modeling incomes where occupation is chosen 22. Programme Evaluation: Regression Discontinuity and Matching 23. Heterogeneity, Selection, and the Marginal Treatment Effect (MTE) 24. Estimation of Dynamic Effects with Panel Data 25. Modeling the Effects of Aid and the Determinants of Growth 26. Understanding Technology Using Long Panels 27. Cross-section Dependence and Nonstationary Data 28. Macro Production Functions for Manufacturing and Agriculture 29. How can the processes of development best be understood?