Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support-Reference-Cited by-同舟云学术

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Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support

Published:2023-06-01 Issue:2 Volume:17 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Kuha Jouni¹,Zhang Siliang²,Steele Fiona¹

Affiliation:

1. Department of Statistics, London School of Economics and Political Science

2. Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference47 articles.

1. Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica 26 24–36.

2. BAKK, Z. and KUHA, J. (2018). Two-step estimation of models between latent classes and external variables. Psychometrika 83 871–892.

3. BURT, R. S. (1973). Confirmatory factor-analytic structures and the theory construction process. Sociol. Methods Res. 2 131–190.

4. BURT, R. S. (1976). Interpretational confounding of unobserved variables in structural equation models. Sociol. Methods Res. 5 3–52.

5. CHAN, T. W. (2008). The structure of intergenerational exchange in the UK. University of Oxford. Working Paper Series 2008-05.

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