Micro-Econometrics for Policy, Program, and Treatment Effects (Advanced Texts in Econometrics)

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9780199267699: Micro-Econometrics for Policy, Program, and Treatment Effects (Advanced Texts in Econometrics)

This is one of the first books to provide a textbook exposition of the literature on how to measure accurately the 'effects' of a 'treatment,' such as a drug, educational program, or tax regime, on a response variable like an illness, GPA, or income. The book focuses on non-experimental, micro-economic estimation.

About the Series
Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.

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About the Author:

Myoung-jae Lee is Associate Professor in the School of Economics and Social Sciences at Singapore Management University. He has held positions at Pennsylvania State University, Tilburg University in The Netherlands, London School of Economics, Tsukuba University in Japan and Sungkyunkwan University in Seoul.

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Myoung-Jae Lee
Editorial: Oxford University Press, United Kingdom (2005)
ISBN 10: 0199267693 ISBN 13: 9780199267699
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Descripción Oxford University Press, United Kingdom, 2005. Paperback. Estado de conservación: New. New.. Language: English . Brand New Book ***** Print on Demand *****.In many disciplines of science it is vital to know the effect of a treatment on a response variable of interest; the effect being known as the treatment effect . Here, the treatment can be a drug, an education program or an economic policy, and the response variable can be an illness, academic achievement or GDP. Once the effect is found, it is possible to intervene to adjust the treatment and attain a desired level of the response variable. A basic way to measure the treatment effect is to compare two groups, one of which received the treatment and the other did not. If the two groups are homogenous in all aspects other than their treatment status, then the difference between their response outcomes is the desired treatment effect. But if they differ in some aspects in addition to the treatment status, the difference in the response outcomes may be due to the combined influence of more than one factor. In non-experimental data where the treatment is not randomly assigned but self-selected, the subjects tend to differ in observed or unobserved characteristics. It is therefore imperative that the comparison be carried out with subjects similar in their characteristics. This book explains how this problem can be overcome so the attributable effect of the treatment can be found. This book brings to the fore recent advances in econometrics for treatment effects. The purpose of this book is to put together various economic treatments effect models in a coherent fashion, make it clear which can be parameters of interest, and show how they can be identified and estimated under weak assumptions. The emphasis throughout the book is on semi- and non-parametric estimation methods, but traditional parametric approaches are also discussed. This book is ideally suited to researchers and graduate students with a basic knowledge of econometrics. Nº de ref. de la librería AAV9780199267699

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Myoung-Jae Lee
Editorial: Oxford University Press, United Kingdom (2005)
ISBN 10: 0199267693 ISBN 13: 9780199267699
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Descripción Oxford University Press, United Kingdom, 2005. Paperback. Estado de conservación: New. New.. Language: English . Brand New Book ***** Print on Demand *****. In many disciplines of science it is vital to know the effect of a treatment on a response variable of interest; the effect being known as the treatment effect . Here, the treatment can be a drug, an education program or an economic policy, and the response variable can be an illness, academic achievement or GDP. Once the effect is found, it is possible to intervene to adjust the treatment and attain a desired level of the response variable. A basic way to measure the treatment effect is to compare two groups, one of which received the treatment and the other did not. If the two groups are homogenous in all aspects other than their treatment status, then the difference between their response outcomes is the desired treatment effect. But if they differ in some aspects in addition to the treatment status, the difference in the response outcomes may be due to the combined influence of more than one factor. In non-experimental data where the treatment is not randomly assigned but self-selected, the subjects tend to differ in observed or unobserved characteristics. It is therefore imperative that the comparison be carried out with subjects similar in their characteristics. This book explains how this problem can be overcome so the attributable effect of the treatment can be found. This book brings to the fore recent advances in econometrics for treatment effects. The purpose of this book is to put together various economic treatments effect models in a coherent fashion, make it clear which can be parameters of interest, and show how they can be identified and estimated under weak assumptions. The emphasis throughout the book is on semi- and non-parametric estimation methods, but traditional parametric approaches are also discussed. This book is ideally suited to researchers and graduate students with a basic knowledge of econometrics. Nº de ref. de la librería AAV9780199267699

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