Econometrics and Data Analysis for Developing Countries
Routledge – 1997 – 520 pages
Getting accurate data on less developed countries has created great problems for studying these areas. Yet until recently students of development economics have relied on standard econometrics texts, which assume a Western context. Econometrics and Data Analysis for Developing Countries solves this problem. It will be essential reading for all advanced students of development economics.
Preface. Data Theory in Development Research. Variables and Their Distributions. Part I Regression and Data Analysis. Simple Regression with Graphics. Curve Fitting. Multiple Regression with Graphics. Misspecification with Multiple Regression. Part II Working with Data: Cross Section and Time Series Analysis. Cross Section Analysis: the Problem of Heteroscedasticity. Working with Categorical Variables. Modelling Time Series. Autocorrelation and Misspecification. Part III Modelling Simultaneous Systems. Introduction to Simultaneous Models. Identification and Estimation. Carrying out Econometric Research.