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Beneath the Surface: Disaggregated D...

Guisinger, Amy Y.

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Beneath the Surface: Disaggregated Data in Macroeconomic Applications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Beneath the Surface: Disaggregated Data in Macroeconomic Applications./
Author:	Guisinger, Amy Y.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	130 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-12(E), Section: A.
Contained By:	Dissertation Abstracts International77-12A(E).
Subject:	Labor economics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10144004
ISBN:	9781339991979

Beneath the Surface: Disaggregated Data in Macroeconomic Applications.
Guisinger, Amy Y.

Beneath the Surface: Disaggregated Data in Macroeconomic Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 130 p.

Source: Dissertation Abstracts International, Volume: 77-12(E), Section: A.

Thesis (Ph.D.)--The George Washington University, 2016.

Aggregating across heterogenous groups can conceal underlying relationships that can appear when data is disaggregated. This dissertation provides evidence for the importance of heterogeneity by (i) showing how accounting for gender difference in a theoretical model can improve the model's ability to match U.S. business cycle statistics (chapter 1); (ii) empirically documenting the bias by various disaggregated unemployment groups and decomposition methodologies (chapter 2); and (iii) investigating geographical differences in Okun's law and their causes (chapter 3). These three chapters combine to demonstrate the importance of accounting for heterogenous groups when considering various policy implications.

ISBN: 9781339991979Subjects--Topical Terms:

642730
Labor economics.

Beneath the Surface: Disaggregated Data in Macroeconomic Applications.
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245 1 0 $a Beneath the Surface: Disaggregated Data in Macroeconomic Applications.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 130 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-12(E), Section: A.
500 $a Adviser: Tara M. Sinclair.
502 $a Thesis (Ph.D.)--The George Washington University, 2016.
520 $a Aggregating across heterogenous groups can conceal underlying relationships that can appear when data is disaggregated. This dissertation provides evidence for the importance of heterogeneity by (i) showing how accounting for gender difference in a theoretical model can improve the model's ability to match U.S. business cycle statistics (chapter 1); (ii) empirically documenting the bias by various disaggregated unemployment groups and decomposition methodologies (chapter 2); and (iii) investigating geographical differences in Okun's law and their causes (chapter 3). These three chapters combine to demonstrate the importance of accounting for heterogenous groups when considering various policy implications.
590 $a School code: 0075.
650 4 $a Labor economics. $3 642730
650 4 $a Gender studies. $3 2122708
650 4 $a Economics. $3 517137
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710 2 $a The George Washington University. $b Economics. $3 1020291
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792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10144004