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

The joint retirement probability of ...

Huang, Tai-hsin.

Linked to FindBook

Google Book

Amazon

博客來

The joint retirement probability of husbands and wives.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The joint retirement probability of husbands and wives./
Author:	Huang, Tai-hsin.
Description:	121 p.
Notes:	Source: Dissertation Abstracts International, Volume: 50-06, Section: A, page: 1759.
Contained By:	Dissertation Abstracts International50-06A.
Subject:	Gerontology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8921200

The joint retirement probability of husbands and wives.
Huang, Tai-hsin.

The joint retirement probability of husbands and wives. - 121 p.

Source: Dissertation Abstracts International, Volume: 50-06, Section: A, page: 1759.

Thesis (Ph.D.)--State University of New York at Stony Brook, 1988.

Most research on the retirement decision has focused on the behavior of individual workers and particularly on that of male workers. Little is known about the effect of one spouse's decision to retire on the retirement decision of the other. Understanding the interaction of spouses' retirement decisions may be an important missing element in models developed to date that attempt to explain retirement planning.Subjects--Topical Terms:

533633
Gerontology.

The joint retirement probability of husbands and wives.
LDR:03069nam 2200313 4500 001 1405851
005 20111214135739.5
008 130515s1988 ||||||||||||||||| ||eng d
035 $a (UMI)AAI8921200
035 $a AAI8921200
040 $a UMI $c UMI
100 1 $a Huang, Tai-hsin. $3 1685276
245 1 4 $a The joint retirement probability of husbands and wives.
300 $a 121 p.
500 $a Source: Dissertation Abstracts International, Volume: 50-06, Section: A, page: 1759.
500 $a Supervisor: Michael D. Hurd.
502 $a Thesis (Ph.D.)--State University of New York at Stony Brook, 1988.
520 $a Most research on the retirement decision has focused on the behavior of individual workers and particularly on that of male workers. Little is known about the effect of one spouse's decision to retire on the retirement decision of the other. Understanding the interaction of spouses' retirement decisions may be an important missing element in models developed to date that attempt to explain retirement planning.
520 $a The data (male and female workers data) are first studied to understand their characteristics by constructing several cross tabulations. These tabulations strongly support the joint retirement hypothesis, i.e., husbands and wives tend to retire at the same time. Also, comparisons between the male and the female workers data are made; they reveal that the two data sets have different distributions in several variables, such as the health status, annual earnings, education, and so on.
520 $a In order to study the inter-relationship of the retirement decision between husbands and wives, the conditional probability models that reflect the characteristics of the wives' decision to retire dependent on the husbands' are constructed for the male and female workers' data. Then, a simultaneous logit model which is useful for analyzing correlations between the dichotomous dependent variables is constructed for both male and female workers' data.
520 $a Analyses of these models yield significant results. First, for the conditional models, the husband's retirement will increase the probability of the wife's retirement. In other words, husbands and wives tend to retire at the same time. Second, for the simultaneous logit model, the wife's retirement has a positive (and statistically significant) effect on the probability of the husband's retirement, and vice-versa. This may be evidence that the couples' retirement years are complementary.
520 $a Lastly, the dissertation states the findings coming from the parameter estimates of the conditional probability model and the logit model, discusses the female labor force participation rates implied by these findings, points out several problems it has and indicates future research directions.
590 $a School code: 0771.
650 4 $a Gerontology. $3 533633
650 4 $a Economics, Labor. $3 1019135
690 $a 0351
690 $a 0510
710 2 $a State University of New York at Stony Brook. $3 1019194
773 0 $t Dissertation Abstracts International $g 50-06A.
790 1 0 $a Hurd, Michael D., $e advisor
790 $a 0771
791 $a Ph.D.
792 $a 1988
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8921200