Statistical Methods for Comparing Regression Coefficients Between Models

Clogg, Clifford C.; Petkova, Eva; Haritou, Adamantios

doi:10.1086/230638

Cited by 1,700 publications

(1,121 citation statements)

References 17 publications

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“…We estimated gender-stratified models and tested the equality of regression coefficients to determine statistically significant gender differences in the parameter estimates (Clogg et al, 1995). Consistent with prior studies (Antonucci and Akiyama, 1987;Umberson et al, 1996), non-spousal social support and marital quality were associated with loneliness in different ways for women and men.…”

Section: Multivariate Resultsmentioning

confidence: 58%

“…To do this, we stratified by gender and re-estimated the previous models. We tested for significant differences between the estimated effects for women and men using a t-test for equality of regression coefficients (Clogg et al, 1995). All estimates were weighted to account for differential probabilities of selection and differential non-response.…”

Section: Household Incomementioning

confidence: 99%

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Widening the social context of disablement among married older adults: Considering the role of nonmarital relationships for loneliness

Warner

Adams

2012

Social Science Research

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Utilizing the stress process and life course perspectives, we investigated the influence of non-spousal social support on the associations between marital quality, physical disability, and loneliness among married older adults. Using data from the National Social Life, Health, and Aging Project (NSHAP), we found that the association between physical disability and loneliness was partially accounted for by the fact that physical disability was associated with less supportive nonmarital relationships. While physically-disabled older adults in higher-quality marriages were buffered from loneliness, supportive non-martial relationships did not offset elevated loneliness among those in low-quality marriages. These associations were largely similar for men and women. Thus, although both marital and nonmarital relationships are important for loneliness, when confronted with a stressor such as disablement it is the marital relationship alone that matters.

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Section: Multivariate Resultsmentioning

confidence: 58%

Section: Household Incomementioning

confidence: 99%

Widening the social context of disablement among married older adults: Considering the role of nonmarital relationships for loneliness

Warner

Adams

2012

Social Science Research

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“…Since we were interested in the differences between males and females, we estimated the models for females and males separately. To test whether the odds ratios in the model for men and the model for women are significantly different, we use seemingly unrelated estimations of the two models (Clogg et al 1995;Weesie 1999). With this procedure, the coefficients and standard errors of the two models are estimated simultaneously.…”

Section: Methodsmentioning

confidence: 99%

Gender differences in the impact of family background on leaving the parental home

Blaauboer

Mulder

2009

J Hous and the Built Environ

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We address the question to what extent characteristics of the family of origin influence the timing of leaving the parental home and to what extent these effects differ between men and women. We use data from the Netherlands Kinship Panel Study to examine the effects of parental resources, atmosphere in the family of origin and family structure on leaving home to live without a partner and leaving home to live with a partner. The results indicate that a pleasant atmosphere in the parental home decreases the risk of leaving home and living in stepfamilies or single-parent families increases this risk. The availability of parental resources leads to a decreased risk of leaving home at young ages, but an increased risk at later ages. Many of these effects are found for both men and women and for both pathways out of the home. Furthermore, we find evidence that women are affected more strongly by family background characteristics than men are.

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“…Results in models 5-7 are produced on a 30% random subsample of our primary analytical sample. 16 To formally compare coefficients across quartile groups, we calculate z-scores according to the approach described for large samples in Clogg et al (1995), as follows:…”

Section: Who Benefits From Spillovers From Immigrant Diversity?mentioning

confidence: 99%

Spillovers from immigrant diversity in cities

Kemeny

Cooke

2017

Journal of Economic Geography

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Theory and evidence suggest that people born in different countries complement each other in the labor market. Immigrant diversity could augment productivity by enabling the combination of different skills, ideas and perspectives, resulting in greater productivity. Using matched employer-employee data for the USA, this paper evaluates this claim, and makes empirical and conceptual contributions to prior work. It addresses the potential bias from unobserved heterogeneity among individuals, work establishments and cities. The paper also identifies diversity impacts at both city and workplace scales, and considers how relationships vary across different segments of the labor market. Findings suggest that urban immigrant diversity produces positive and nontrivial spillovers for U.S. workers. This social return represents a distinct channel through which immigration may generate broad-based economic benefits.

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Statistical Methods for Comparing Regression Coefficients Between Models

Cited by 1,700 publications

References 17 publications

Widening the social context of disablement among married older adults: Considering the role of nonmarital relationships for loneliness

Widening the social context of disablement among married older adults: Considering the role of nonmarital relationships for loneliness

Gender differences in the impact of family background on leaving the parental home

Spillovers from immigrant diversity in cities

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