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Children's mental health service use...

The Johns Hopkins University.

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Children's mental health service use in the community: Static and dynamic panel data models of the treatment effect.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Children's mental health service use in the community: Static and dynamic panel data models of the treatment effect./
Author:	Clemans-Cope, Lisa Hilari.
Description:	154 p.
Notes:	Adviser: David Salkever.
Contained By:	Dissertation Abstracts International65-04A.
Subject:	Economics, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3130655
ISBN:	9780496779031

Children's mental health service use in the community: Static and dynamic panel data models of the treatment effect.
Clemans-Cope, Lisa Hilari.

Children's mental health service use in the community: Static and dynamic panel data models of the treatment effect. - 154 p.

Adviser: David Salkever.

Thesis (Ph.D.)--The Johns Hopkins University, 2004.

Statement of the problem. The objective of this dissertation is to implement and compare new approaches to measuring the effectiveness of children's mental health treatments in a community setting, especially with respect to the particular problems encountered in non-randomized studies. Static and dynamic models are proposed to address two problems associated with estimating the treatment effect. The first issue is the potential endogeneity of the treatment variables; the second is the possibility of significant dynamics in the structural model to permit certain forms of intertemporal correlation.

ISBN: 9780496779031Subjects--Topical Terms:

1017424
Economics, General.

Children's mental health service use in the community: Static and dynamic panel data models of the treatment effect.
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020 $a 9780496779031
035 $a (UMI)AAI3130655
035 $a AAI3130655
040 $a UMI $c UMI
100 1 $a Clemans-Cope, Lisa Hilari. $3 1029855
245 1 0 $a Children's mental health service use in the community: Static and dynamic panel data models of the treatment effect.
300 $a 154 p.
500 $a Adviser: David Salkever.
500 $a Source: Dissertation Abstracts International, Volume: 65-04, Section: A, page: 1459.
502 $a Thesis (Ph.D.)--The Johns Hopkins University, 2004.
520 $a Statement of the problem. The objective of this dissertation is to implement and compare new approaches to measuring the effectiveness of children's mental health treatments in a community setting, especially with respect to the particular problems encountered in non-randomized studies. Static and dynamic models are proposed to address two problems associated with estimating the treatment effect. The first issue is the potential endogeneity of the treatment variables; the second is the possibility of significant dynamics in the structural model to permit certain forms of intertemporal correlation.
520 $a Study data sources. The data set for this study is the National Longitudinal Survey of Youth 1979 for Children and Young Adults (NLSY79-CHILDYA), which includes 8 biennial waves of data from children who were between the ages of 0 and 14 during the first interview in 1986. Data collected on the children's mothers collected in the National Longitudinal Survey of Youth 1979 (NLSY79) is also used.
520 $a Study methods. Static and dynamic empirical models are formulated and estimated. Several approaches to estimation of the static model are presented, including ordinary least squares, fixed effects, and random effects using traditional instrumental variables estimators and the Hausman and Taylor (1981) estimator. Consistent estimation of the dynamic panel data models involves first-differencing combined with instrumental variables methods. Results are shown from the estimation of a mental health production function for children using dynamic panel data modeling techniques including the Arellano and Bond (1991) first-differenced GMM estimator and the Blundell and Bond (1998) system GMM approach.
520 $a Results. Treatment variables are found to be endogenous in the mental health production function. Some dynamics are found to be significant and important to estimation. Evidence of treatment effectiveness of community mental health treatments is found in dynamic panel data estimation of antisocial problems. Results indicate that combining counseling or psychotherapy with psychopharmacological treatment may be effective, especially for children with mean antisocial scores in the normal range. Psychopharmacological treatment without counseling or psychotherapy appears to be an effective treatment for children with mean antisocial scores in the dysfunctional range.
520 $a Conclusion. Dynamic panel data estimation techniques provide a useful new technique for estimating the effectiveness of children's mental health treatments in a community setting. Evidence is found that dynamics in the model are significant. Using the dynamic model with first-differenced GMM estimators, evidence is found that community mental health treatments are effective in reducing antisocial behaviors among youths.
590 $a School code: 0098.
650 4 $a Economics, General. $3 1017424
650 4 $a Health Sciences, Mental Health. $3 1017693
690 $a 0347
690 $a 0501
710 2 $a The Johns Hopkins University. $3 1017431
773 0 $t Dissertation Abstracts International $g 65-04A.
790 $a 0098
790 1 0 $a Salkever, David, $e advisor
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3130655