The Method of Generalized Ordered Probit with Selectivity: Application to Marital Happiness

This paper introduces and demonstrates the use of the method of Generalized Ordered Probit with Selectivity (GOPS). It simultaneously estimates (1) functions that describe the relations between the explanatory variables and an ordered dependent variable such as marital happiness, and (2) the selecti...

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Published inJournal of family and economic issues Vol. 36; no. 3; pp. 451 - 461
Main Author Leppel, Karen
Format Journal Article
LanguageEnglish
Published New York Springer US 01.09.2015
Springer Nature B.V
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Abstract This paper introduces and demonstrates the use of the method of Generalized Ordered Probit with Selectivity (GOPS). It simultaneously estimates (1) functions that describe the relations between the explanatory variables and an ordered dependent variable such as marital happiness, and (2) the selectivity function that pertains to being married. It does not presume the equality-of-slopes assumption of conventional ordered probit. The GOPS method is demonstrated for modeling marital happiness. The results are compared to those from conventional ordered probit and generalized ordered probit without selectivity.
AbstractList This paper introduces and demonstrates the use of the method of Generalized Ordered Probit with Selectivity (GOPS). It simultaneously estimates: 1. functions that describe the relations between the explanatory variables and an ordered dependent variable such as marital happiness, and 2. the selectivity function that pertains to being married. It does not presume the equality-of-slopes assumption of conventional ordered probit. The GOPS method is demonstrated for modeling marital happiness. The results are compared to those from conventional ordered probit and generalized ordered probit without selectivity. [PUBLICATION ABSTRACT]
This paper introduces and demonstrates the use of the method of Generalized Ordered Probit with Selectivity (GOPS). It simultaneously estimates (1) functions that describe the relations between the explanatory variables and an ordered dependent variable such as marital happiness, and (2) the selectivity function that pertains to being married. It does not presume the equality-of-slopes assumption of conventional ordered probit. The GOPS method is demonstrated for modeling marital happiness. The results are compared to those from conventional ordered probit and generalized ordered probit without selectivity.
Author Leppel, Karen
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CitedBy_id crossref_primary_10_1057_eej_2014_38
crossref_primary_10_1007_s10834_020_09723_7
crossref_primary_10_1016_j_jebo_2023_07_037
Cites_doi 10.1111/j.1467-6494.2006.00414.x
10.1007/s10834-006-9016-9
10.1037/0893-3200.18.4.564
10.1007/s10834-012-9294-3
10.1007/s10834-012-9308-1
10.1023/A:1022478919443
10.3886/ICPSR31521.v1
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Keywords Ordered probit
Selectivity
Equality-of-slopes assumption
Marital happiness
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Snippet This paper introduces and demonstrates the use of the method of Generalized Ordered Probit with Selectivity (GOPS). It simultaneously estimates (1) functions...
This paper introduces and demonstrates the use of the method of Generalized Ordered Probit with Selectivity (GOPS). It simultaneously estimates: 1. functions...
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SubjectTerms Bias
Conformity
Dependent variables
Economic models
Equality
Estimates
Family
Happiness
Likert scale
Marriage
Original Paper
Personal relationships
Personality and Social Psychology
Social Policy
Social Sciences
Sociology
Studies
Variables
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Title The Method of Generalized Ordered Probit with Selectivity: Application to Marital Happiness
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