Data improvement and labor economics created by Kevin F Hallock.

By:

Hallock, Kevin F [author]

Material type: Text

TextSeries: Journal of labor economics ; Volume 31, number 2,Chicago: University of Chicago Press, 2013Content type:

text

Media type:

unmediated

Carrier type:

volume

ISSN:

0734306X

Subject(s):

Labor -- Labor economics

LOC classification:

HD5706 JOU

Online resources:

Click here to access online

Abstract: The expansion of available data for research has transformed empirical labor economics over the past generation. This paper briefly highlights some of the changes and describes a few examples of papers that illustrate the advances. It also documents the changing ways data have been used in the Journal of Labor Economics over the past 30 years, including a trend toward a higher fraction of papers using any data and, among those papers using any data, a higher fraction using nonpublic data, a higher fraction using international data, and more frequent use of multiple data sources. Finally, this paper describes work that came out of the recent Princeton Data Improvement Initiative—a program that considers and furthers improved data collection.

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Holdings
Item type	Current library	Call number	Vol info	Copy number	Status	Notes	Date due	Barcode
Journal Article	Main Library - Special Collections	HD5706 JOU (Browse shelf(Opens below))	Vol. 31, no.2 (pages 1-17)	SP17574	Not for loan	For in-house use only

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The expansion of available data for research has transformed empirical labor economics over the past generation. This paper briefly highlights some of the changes and describes a few examples of papers that illustrate the advances. It also documents the changing ways data have been used in the Journal of Labor Economics over the past 30 years, including a trend toward a higher fraction of papers using any data and, among those papers using any data, a higher fraction using nonpublic data, a higher fraction using international data, and more frequent use of multiple data sources. Finally, this paper describes work that came out of the recent Princeton Data Improvement Initiative—a program that considers and furthers improved data collection.

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