The Limits Of Inference Without Theory

Download The Limits Of Inference Without Theory full books in PDF, epub, and Kindle. Read online free The Limits Of Inference Without Theory ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

The Limits of Inference without Theory

The Limits of Inference without Theory
Author :
Publisher : MIT Press
Total Pages : 197
Release :
ISBN-10 : 9780262019088
ISBN-13 : 0262019086
Rating : 4/5 (086 Downloads)

Book Synopsis The Limits of Inference without Theory by : Kenneth I. Wolpin

Download or read book The Limits of Inference without Theory written by Kenneth I. Wolpin and published by MIT Press. This book was released on 2013-04-26 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The role of theory in ex ante policy evaluations and the limits that eschewing theory places on inference In this rigorous and well-crafted work, Kenneth Wolpin examines the role of theory in inferential empirical work in economics and the social sciences in general—that is, any research that uses raw data to go beyond the mere statement of fact or the tabulation of statistics. He considers in particular the limits that eschewing the use of theory places on inference. Wolpin finds that the absence of theory in inferential work that addresses microeconomic issues is pervasive. That theory is unnecessary for inference is exemplified by the expression “let the data speak for themselves.” This approach is often called “reduced form.” A more nuanced view is based on the use of experiments or quasi-experiments to draw inferences. Atheoretical approaches stand in contrast to what is known as the structuralist approach, which requires that a researcher specify an explicit model of economic behavior—that is, a theory. Wolpin offers a rigorous examination of both structuralist and nonstructuralist approaches. He first considers ex ante policy evaluation, highlighting the role of theory in the implementation of parametric and nonparametric estimation strategies. He illustrates these strategies with two examples, a wage tax and a school attendance subsidy, and summarizes the results from applications. He then presents a number of examples that illustrate the limits of inference without theory: the effect of unemployment benefits on unemployment duration; the effect of public welfare on women's labor market and demographic outcomes; the effect of school attainment on earnings; and a famous field experiment in education dealing with class size. Placing each example within the context of the broader literature, he contrasts them to recent work that relies on theory for inference.


The Limits of Inference without Theory Related Books

The Limits of Inference without Theory
Language: en
Pages: 197
Authors: Kenneth I. Wolpin
Categories: Business & Economics
Type: BOOK - Published: 2013-04-26 - Publisher: MIT Press

DOWNLOAD EBOOK

The role of theory in ex ante policy evaluations and the limits that eschewing theory places on inference In this rigorous and well-crafted work, Kenneth Wolpin
The Limits of Inference without Theory
Language: en
Pages: 197
Authors: Kenneth I. Wolpin
Categories: Business & Economics
Type: BOOK - Published: 2013-04-26 - Publisher: MIT Press

DOWNLOAD EBOOK

The role of theory in ex ante policy evaluations and the limits that eschewing theory places on inference In this rigorous and well-crafted work, Kenneth Wolpin
Information Theory, Inference and Learning Algorithms
Language: en
Pages: 694
Authors: David J. C. MacKay
Categories: Computers
Type: BOOK - Published: 2003-09-25 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, sign
Asymptotic Theory for Econometricians
Language: en
Pages: 241
Authors: Halbert White
Categories: Business & Economics
Type: BOOK - Published: 2014-06-28 - Publisher: Academic Press

DOWNLOAD EBOOK

This book is intended to provide a somewhat more comprehensive and unified treatment of large sample theory than has been available previously and to relate the
Statistical Inference as Severe Testing
Language: en
Pages: 503
Authors: Deborah G. Mayo
Categories: Mathematics
Type: BOOK - Published: 2018-09-20 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover