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Labor Economics, second edition

List Price: $130.00
SKU:
9780262027700
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  • Product Details

    Author:
    Pierre Cahuc, Stephane Carcillo, Andre Zylberberg
    Format:
    Hardcover
    Pages:
    1080
    Publisher:
    MIT Press (August 1, 2014)
    Imprint:
    The MIT Press
    Language:
    English
    Audience:
    General/trade
    ISBN-13:
    9780262027700
    ISBN-10:
    0262027704
    Weight:
    67.2oz
    Dimensions:
    8.25" x 9.31" x 1.82"
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20261004T130911_158010584-20261004.xml
    Folder:
    RandomHouse
    List Price:
    $130.00
    Country of Origin:
    United States
    Pub Discount:
    65
    Case Pack:
    8
    As low as:
    $100.10
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
  • Overview

    The new edition of a widely used, comprehensive graduate-level text and professional reference covering all aspects of labor economics, with substantial new material.

    This landmark graduate-level text combines depth and breadth of coverage with recent, cutting-edge work in all the major areas of modern labor economics. Its command of the literature and its coverage of the latest theoretical, methodological, and empirical developments make it also a valuable resource for practicing labor economists.

    This second edition has been substantially updated and augmented. It incorporates examples drawn from many countries, and it presents empirical methods using contributions that have proved to be milestones in labor economics.

    This edition devotes more space to the analysis of public policy and the levers available to policy makers, with new chapters on such topics as discrimination, globalization, income redistribution, employment protection, and the minimum wage or labor market programs for the unemployed. Theories are explained on the basis of the simplest possible models, which are in turn related to empirical results. Mathematical appendixes provide a toolkit for understanding the models.