ABSTRACT

Understanding why so many people across the world are so poor is one of the central intellectual challenges of our time. This book provides the tools and data that will enable students, researchers and professionals to address that issue.

Empirical Development Economics has been designed as a hands-on teaching tool to investigate the causes of poverty. The book begins by introducing the quantitative approach to development economics. Each section uses data to illustrate key policy issues. Part One focuses on the basics of understanding the role of education, technology and institutions in determining why incomes differ so much across individuals and countries. In Part Two, the focus is on techniques to address a number of topics in development, including how firms invest, how households decide how much to spend on their children’s education, whether microcredit helps the poor, whether food aid works, who gets private schooling and whether property rights enhance investment.

A distinctive feature of the book is its presentation of a range of approaches to studying development questions. Development economics has undergone a major change in focus over the last decade with the rise of experimental methods to address development issues; this book shows how these methods relate to more traditional ones.

 

Please visit the book's website at www.empiricalde.com for online supplements including Stata files and solutions to the exercises.

part I|191 pages

Linking models to data for development

part I|58 pages

Cross-section data and the determinants of incomes

part II|46 pages

Time-series data, growth and development

chapter 6|18 pages

Modelling growth with time-series data

chapter 8|12 pages

Exogenous and endogenous growth

part III|48 pages

Panel data

chapter 9|17 pages

Panel data: an introduction

chapter 10|13 pages

Panel estimators: POLS, RE, FE, FD

chapter 11|16 pages

Instrumental variables and endogeneity

part IV|23 pages

An introduction to programme evaluation

part II|231 pages

Modelling development

part V|64 pages

Modelling choice

chapter 15|17 pages

Maximum likelihood estimation

chapter 16|13 pages

Modelling choice

The LPM, probit and logit models

chapter 18|17 pages

Corner solutions

Modelling investing in children and by firms

part VI|30 pages

Structural modelling

part VII|43 pages

Selection, heterogeneity and programme evaluation

chapter 21|13 pages

Sample selection

Modelling incomes where occupation is chosen

chapter 22|12 pages

Programme evaluation

Regression discontinuity and matching

part VIII|30 pages

Dynamic models for micro and macro data

part IX|39 pages

Dynamics and long panels

part X|8 pages

An overview