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Three essays on panel data estimation.

Houser, Alexander.

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Three essays on panel data estimation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Three essays on panel data estimation./
Author:	Houser, Alexander.
Description:	68 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-10(E), Section: A.
Contained By:	Dissertation Abstracts International76-10A(E).
Subject:	Labor economics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3708875
ISBN:	9781321843231

Three essays on panel data estimation.
Houser, Alexander.

Three essays on panel data estimation. - 68 p.

Source: Dissertation Abstracts International, Volume: 76-10(E), Section: A.

Thesis (Ph.D.)--Western Michigan University, 2015.

This work discusses various aspects of panel data estimation. In chapter one, an algorithm for semiparametric random effects estimation is proposed. The performance of bootstrap-based confidence intervals for the proposed estimators are examined and found reasonable. The algorithm is also applied to a set of U.S. state level medical expenditure data to estimate the medical Engel curve. In the second chapter, the predictive performance of various parametric and semiparametric panel data estimators is compared on the same dataset of U.S. state level medical expenditures as well as out of sample forecast performance and bootstrap bias-corrected mean square errors of the competing estimators are evaluated. In general, the estimator discussed in the first chapter is found to perform well. In the third chapter a generalized method of moments estimator is investigated under various norms.

ISBN: 9781321843231Subjects--Topical Terms:

642730
Labor economics.

Three essays on panel data estimation.
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100 1 $a Houser, Alexander. $3 3188565
245 1 0 $a Three essays on panel data estimation.
300 $a 68 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-10(E), Section: A.
500 $a Adviser: Debasri Mukherjee.
502 $a Thesis (Ph.D.)--Western Michigan University, 2015.
520 $a This work discusses various aspects of panel data estimation. In chapter one, an algorithm for semiparametric random effects estimation is proposed. The performance of bootstrap-based confidence intervals for the proposed estimators are examined and found reasonable. The algorithm is also applied to a set of U.S. state level medical expenditure data to estimate the medical Engel curve. In the second chapter, the predictive performance of various parametric and semiparametric panel data estimators is compared on the same dataset of U.S. state level medical expenditures as well as out of sample forecast performance and bootstrap bias-corrected mean square errors of the competing estimators are evaluated. In general, the estimator discussed in the first chapter is found to perform well. In the third chapter a generalized method of moments estimator is investigated under various norms.
590 $a School code: 0257.
650 4 $a Labor economics. $3 642730
650 4 $a Economic theory. $3 1556984
650 4 $a Economics. $3 517137
690 $a 0510
690 $a 0511
690 $a 0501
710 2 $a Western Michigan University. $3 804473
773 0 $t Dissertation Abstracts International $g 76-10A(E).
790 $a 0257
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3708875