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Measuring U.S. labor market dynamics.

University of California, San Diego., Economics.

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Measuring U.S. labor market dynamics.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Measuring U.S. labor market dynamics./
作者:	Nekarda, Christopher J.
面頁冊數:	179 p.
附註:	Adviser: Garey Ramey.
Contained By:	Dissertation Abstracts International69-11A.
標題:	Economics, General. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3336553
ISBN:	9780549899587

Measuring U.S. labor market dynamics.
Nekarda, Christopher J.

Measuring U.S. labor market dynamics. - 179 p.

Adviser: Garey Ramey.

Thesis (Ph.D.)--University of California, San Diego, 2008.

This dissertation develops new data and methods for properly measuring U.S. labor market dynamics using large, nationally-representative household surveys. These data are used to assess potential biases arising from time aggregation and from geographic mobility.

ISBN: 9780549899587Subjects--Topical Terms:

1017424
Economics, General.

Measuring U.S. labor market dynamics.
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100 1 $a Nekarda, Christopher J. $3 1065438
245 1 0 $a Measuring U.S. labor market dynamics.
300 $a 179 p.
500 $a Adviser: Garey Ramey.
500 $a Source: Dissertation Abstracts International, Volume: 69-11, Section: A, page: 4431.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2008.
520 $a This dissertation develops new data and methods for properly measuring U.S. labor market dynamics using large, nationally-representative household surveys. These data are used to assess potential biases arising from time aggregation and from geographic mobility.
520 $a Time aggregation is estimated using weekly labor force information from the Survey of Income and Program Participation (SIPP). The degree of time aggregation is large: gross flows estimated from monthly data understate the true number of transitions by 20 percent on average. However, time aggregation creates no meaningful cyclical bias in measured gross flows or hazard rates. Separation hazard rates calculated from the SIPP and the Current Population Survey (CPS) are strongly countercyclical and remain so after adjusting for time aggregation.
520 $a Using a new database that captures all longitudinal information in the CPS individuals who move can be identified. Comparing the behavior of the entire CPS sample with the subset known not to have moved provides a bound to the bias from geographic mobility. The cyclical bias from geographic mobility is small. At business cycle frequencies, the difference between the separation hazard rate calculated from the entire CPS sample and from a subset that are known not to have moved never exceeds 4 percent. There is little effect of mobility on the job finding hazard rate.
520 $a The weekly SIPP data identify direct employment-to-employment (EE) transitions. Abstracting from labor force participation, EE transitions account for one-half of all separations from employment. Similar estimates using the CPS are twice as large however the CPS overstates EE transitions because of time aggregation. Separations to a new job are strongly procyclical while separations to unemployment are strongly countercyclical. The combination yields a nearly acyclical total separation rate. The weekly job finding rate is strongly procyclical.
590 $a School code: 0033.
650 4 $a Economics, General. $3 1017424
650 4 $a Economics, Labor. $3 1019135
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710 2 $a University of California, San Diego. $b Economics. $3 1022410
773 0 $t Dissertation Abstracts International $g 69-11A.
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790 1 0 $a Hamilton, James D. $e committee member
790 1 0 $a Hanson, Gordon H. $e committee member
790 1 0 $a Phillips, David $e committee member
790 1 0 $a Ramey, Garey, $e advisor
790 1 0 $a Ramey, Valerie A. $e committee member
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3336553