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Firm-Specific Human Capital and Empl...

Park, Hyunmin.

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Firm-Specific Human Capital and Employment Dynamics.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Firm-Specific Human Capital and Employment Dynamics./
Author:	Park, Hyunmin.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	69 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
Contained By:	Dissertations Abstracts International83-01A.
Subject:	Technological change. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28412247
ISBN:	9798516958830

Firm-Specific Human Capital and Employment Dynamics.
Park, Hyunmin.

Firm-Specific Human Capital and Employment Dynamics. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 69 p.

Source: Dissertations Abstracts International, Volume: 83-01, Section: A.

Thesis (Ph.D.)--The University of Chicago, 2021.

This item must not be sold to any third party vendors.

This paper investigates the relationship between firm-specific human capital and employment dynamics using an equilibrium labor search model with endogenous training. In the model, newly matched firms and workers pay training costs to accumulate firm-specific human capital---knowledge of the firm's organizational structure and production processes. Increased firm-specific human capital can be both a cause and a consequence of a longer firm-worker match duration. On the one hand, investment in firm-specific human capital incentivizes firms and workers to be more selective when forming a new match and more reluctant to dissolve an existing match. On the other hand, a longer match duration incentivizes firms and workers to invest more in firm-specific human capital. This model, calibrated to US data between 1995 and 2019, sheds light on how investment in firm-specific human capital changed between the two years. The calibrated model implies that investment in firm-specific human capital per worker increased from 15 percent of quarterly output to 33 percent of quarterly output from 1995 to 2019. This change is driven by advancements in production technology biased toward firm-specific human capital and advancements in screening technology.

ISBN: 9798516958830Subjects--Topical Terms:

3564100
Technological change.
Subjects--Index Terms:

Employment

Firm-Specific Human Capital and Employment Dynamics.
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245 1 0 $a Firm-Specific Human Capital and Employment Dynamics.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 69 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
500 $a Advisor: Kaplan, Greg.
502 $a Thesis (Ph.D.)--The University of Chicago, 2021.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a This paper investigates the relationship between firm-specific human capital and employment dynamics using an equilibrium labor search model with endogenous training. In the model, newly matched firms and workers pay training costs to accumulate firm-specific human capital---knowledge of the firm's organizational structure and production processes. Increased firm-specific human capital can be both a cause and a consequence of a longer firm-worker match duration. On the one hand, investment in firm-specific human capital incentivizes firms and workers to be more selective when forming a new match and more reluctant to dissolve an existing match. On the other hand, a longer match duration incentivizes firms and workers to invest more in firm-specific human capital. This model, calibrated to US data between 1995 and 2019, sheds light on how investment in firm-specific human capital changed between the two years. The calibrated model implies that investment in firm-specific human capital per worker increased from 15 percent of quarterly output to 33 percent of quarterly output from 1995 to 2019. This change is driven by advancements in production technology biased toward firm-specific human capital and advancements in screening technology.
590 $a School code: 0330.
650 4 $a Technological change. $3 3564100
650 4 $a Investments. $3 566987
650 4 $a Trends. $3 3560051
650 4 $a Equilibrium. $3 668417
650 4 $a Tenure. $3 3561541
650 4 $a Learning. $3 516521
653 $a Employment
653 $a Human capital
653 $a Turnover
690 $a 0501
690 $a 0510
690 $a 0511
690 $a 0629
710 2 $a The University of Chicago. $b Economics. $3 1672980
773 0 $t Dissertations Abstracts International $g 83-01A.
790 $a 0330
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28412247