Micro-Econometrics for Policy, Program and Treatment Effects

Paperback | April 7, 2005

byMyoung-jae Lee

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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 inobserved 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 underweak 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.

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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 f...

Myoung-jae Lee, who is currently at Singapore Management University, has held regular positions at Pennsylvania State University, Tilburg University (the Netherlands), Tsukuba University (Japan), and Sungkyunkwan University (Korea).

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Hardcover|Jun 15 2016

$94.16 online$108.95list price(save 13%)
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Format:PaperbackDimensions:264 pages, 9.21 × 6.14 × 0.59 inPublished:April 7, 2005Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199267693

ISBN - 13:9780199267699

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Table of Contents

1. Tour of the book2. Basics of treatment effect analysis3. Controlling for covariates4. Matching5. Design and instrument for hidden bias6. Other approaches to hidden bias7. Multiple and dynamic treatmentsAppendixReferences