Econometrics and Data Analysis for Developing Countries

by Chandan Mukherjee, Howard White, Marc Wuyts

Overview

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.

Product Details

ISBN-13:	9781136144684
Publisher:	Taylor & Francis
Publication date:	09/13/2013
Series:	Priorities for Development Economics
Sold by:	Barnes & Noble
Format:	eBook
Pages:	520
File size:	20 MB
Note:	This product may take a few minutes to download.

About the Author

Chandan Mukherjee, Howard White, Marc Wuyts

Table of Contents

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.

Editorial Reviews

A textbook on data analysis and econometrics as research tools in the analysis of development issues. Covers the foundations of data analysis, regression and data analysis, analyzing cross-section data, regression with time-series data, and simultaneous equation models. The data diskette that accompanies the book contains data sets relating to problems of developing countries in LOTUS and ASCII formats. Annotation c. by Book News, Inc., Portland, Or.

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