東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A study of the dynamic relationships...

Cloud, M. Katherine.

Linked to FindBook

Google Book

Amazon

博客來

A study of the dynamic relationships between depression, treatment, and work behavior.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A study of the dynamic relationships between depression, treatment, and work behavior./
Author:	Cloud, M. Katherine.
Description:	81 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-06, Section: A, page: 2141.
Contained By:	Dissertation Abstracts International71-06A.
Subject:	Health Sciences, Mental Health. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3404566
ISBN:	9781124016818

A study of the dynamic relationships between depression, treatment, and work behavior.
Cloud, M. Katherine.

A study of the dynamic relationships between depression, treatment, and work behavior. - 81 p.

Source: Dissertation Abstracts International, Volume: 71-06, Section: A, page: 2141.

Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2010.

It has been shown in the literature that depression has a significant negative correlation with employment outcomes as measured by labor force participation, earnings, work attendance and job performance. I expand the understanding of this relationship by exploring the effect of depression on employment choices as well as treatment choices over time rather than simply examining correlations at a point in time. Other health related outcomes and the relationship between choices and mental health will be examined. My analysis follows initially depressed individuals for nine months and examines the dynamic relationship between health status and function, treatment decisions and employment outcomes. I consider a dynamic model of individual decisions over time where lagged endogenous behavior is allowed to influence current behavior or health outcomes. Results indicate that depression does have a significant effect on labor productivity. Individuals who were the most depressed at the baseline interview saw the largest improvements in productivity following treatment. However, the estimates imply that depression is not a significant determinant of the worker's attendance at work.

ISBN: 9781124016818Subjects--Topical Terms:

1017693
Health Sciences, Mental Health.

A study of the dynamic relationships between depression, treatment, and work behavior.
LDR:02354nam 2200349 4500 001 1404692
005 20111130125235.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124016818
035 $a (UMI)AAI3404566
035 $a AAI3404566
040 $a UMI $c UMI
100 1 $a Cloud, M. Katherine. $3 1684034
245 1 2 $a A study of the dynamic relationships between depression, treatment, and work behavior.
300 $a 81 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-06, Section: A, page: 2141.
500 $a Adviser: Donna B. Gilleskie.
502 $a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2010.
520 $a It has been shown in the literature that depression has a significant negative correlation with employment outcomes as measured by labor force participation, earnings, work attendance and job performance. I expand the understanding of this relationship by exploring the effect of depression on employment choices as well as treatment choices over time rather than simply examining correlations at a point in time. Other health related outcomes and the relationship between choices and mental health will be examined. My analysis follows initially depressed individuals for nine months and examines the dynamic relationship between health status and function, treatment decisions and employment outcomes. I consider a dynamic model of individual decisions over time where lagged endogenous behavior is allowed to influence current behavior or health outcomes. Results indicate that depression does have a significant effect on labor productivity. Individuals who were the most depressed at the baseline interview saw the largest improvements in productivity following treatment. However, the estimates imply that depression is not a significant determinant of the worker's attendance at work.
590 $a School code: 0153.
650 4 $a Health Sciences, Mental Health. $3 1017693
650 4 $a Economics, General. $3 1017424
650 4 $a Psychology, Clinical. $3 524864
650 4 $a Psychology, Industrial. $3 520063
690 $a 0347
690 $a 0501
690 $a 0622
690 $a 0624
710 2 $a The University of North Carolina at Chapel Hill. $b Economics. $3 1022423
773 0 $t Dissertation Abstracts International $g 71-06A.
790 1 0 $a Gilleskie, Donna B., $e advisor
790 1 0 $a Guilkey, David $e committee member
790 1 0 $a Akin, John S. $e committee member
790 1 0 $a Blau, David $e committee member
790 1 0 $a Domino, Marisa $e committee member
790 $a 0153
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3404566