Estimating Matching Games with Transfers

Estimating Matching Games with Transfers
Author: Jeremy T. Fox
Publisher:
Total Pages: 73
Release: 2008
Genre: Economics
ISBN:

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Economists wish to use data on matches to learn about the structural primitives that govern sorting. I show how to use equilibrium data on who matches with whom for nonparametric identification and semiparametric estimation of match production functions in many-to-many, two-sided matching games with transferable utility. Inequalities derived from equilibrium necessary conditions underlie a maximum score estimator of match production functions. The inequalities do not require data on transfers, quotas, or production levels. The estimator does not suffer from a computational or data curse of dimensionality in the number of agents in a matching market, as the estimator avoids solving for an equilibrium and estimating first-stage match probabilities. I present an empirical application to automotive suppliers and assemblers.

Proceedings

Proceedings
Author:
Publisher:
Total Pages: 572
Release: 1985
Genre: Census
ISBN:

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Microsimulation Techniques for Tax and Transfer Analysis

Microsimulation Techniques for Tax and Transfer Analysis
Author: Gordon H. Lewis
Publisher: University Press of America
Total Pages: 290
Release: 1990
Genre: Business & Economics
ISBN:

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Analiza modelos de simulación sobre distintos tipos de ingresos y aspectos teóricos de los propios modelos.

Occupational Projections and Training Data

Occupational Projections and Training Data
Author: United States. Bureau of Labor Statistics
Publisher:
Total Pages: 110
Release: 1992
Genre: Employment forecasting
ISBN: 9780160379628

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Inverse Heat Transfer

Inverse Heat Transfer
Author: Helcio R.B. Orlande
Publisher: CRC Press
Total Pages: 299
Release: 2021-04-20
Genre: Science
ISBN: 1000362450

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This book introduces the fundamental concepts of inverse heat transfer solutions and their applications for solving problems in convective, conductive, radiative, and multi-physics problems. Inverse Heat Transfer: Fundamentals and Applications, Second Edition includes techniques within the Bayesian framework of statistics for the solution of inverse problems. By modernizing the classic work of the late Professor M. Necati Özisik and adding new examples and problems, this new edition provides a powerful tool for instructors, researchers, and graduate students studying thermal-fluid systems and heat transfer. FEATURES Introduces the fundamental concepts of inverse heat transfer Presents in systematic fashion the basic steps of powerful inverse solution techniques Develops inverse techniques of parameter estimation, function estimation, and state estimation Applies these inverse techniques to the solution of practical inverse heat transfer problems Shows inverse techniques for conduction, convection, radiation, and multi-physics phenomena M. Necati Özisik (1923–2008) retired in 1998 as Professor Emeritus of North Carolina State University’s Mechanical and Aerospace Engineering Department. Helcio R. B. Orlande is a Professor of Mechanical Engineering at the Federal University of Rio de Janeiro (UFRJ), where he was the Department Head from 2006 to 2007.