Skip to main content
SpringerLink
Log in

Some cumulative logit models for panel-data analysis: an application to a dynamic analysis of personal efficacy

  • Published:
Quality and Quantity Aims and scope Submit manuscript

Abstract

This paper introduces novel cumulative logit models for the panel-data analysis of transitions among ordered states of a polytomous dependent variable. The models differ from conventional cumulative logit models in that they can distinguish between covariate effects on the odds of having an upward transition and covariate effects on the odds of having a downward transition in the ordered states of the dependent variable.

The new models are applied to panel data on personal efficacy and are used to identify asymmetric patterns in the effects of divorce and unemployment on changes in the level of personal efficacy. The effects of the two events on increasing the odds of having a downward transition are shown to be greater than their effects on decreasing the odds of having an upward transition. Some distinct characteristics of the effects of each event are also reported.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Agresti, A. (1984). Analysis of Ordinal Categorical Data. New York: Wiley.

    Google Scholar 

  • Cleary, P. D. & Kessler, R. C. (1982). The estimation and interpretation of modifier ettects, Journal of Health and Social Behavior 1982: 159–169.

    Google Scholar 

  • Duncan, G. & Morgan, J. N. (1985). The panel study of income dynamics, in G. L. Elder (ed.), Life Course Dynamics Ithaca: Cornell University Press, pp. 50–74.

    Google Scholar 

  • Eaton, W. W. (1978). Life events, social supports, and psychiatric symptoms: a reanalysis of the New Haven data, Journal of Health and Social Behavior 19: 230–234.

    Google Scholar 

  • Emery, R. E. (1982). Interparental conflict, and children of discord and divorce, Psychological Bulletin 92: 310–30.

    Article  Google Scholar 

  • Golden, R. R. and Dohrenwend, B. S. (1984). A path analytic method for testing stress causal hypotheses about the life stress process, in Dohrenwend & Dohrenwend (eds.), Stressful Life Events and Their Contexts. New Brunswick, NJ: Rusgers University Press, pp. 258–278.

    Google Scholar 

  • Goodman, L. A. (1979). Simple models for the analysis of association in cross-classifications having ordered categories, Journal of the American Statistical Association 74: 413–418.

    Google Scholar 

  • Haberman, S. (1979). The analysis of Qualitative Data, Vol. 2, New Developments. New York: Academic Press.

    Google Scholar 

  • Heckman, J. J. (1981). Statistical models for discrete panel data, in C. F. Manski & D. McFadden (eds.), Structural Analysis of Discrete Data with Econometric Applications. Cambridge, MA: MIT Press, pp. 114–178.

    Google Scholar 

  • Lin, N. and Ensel, W. M. (1984). Depression-mobility and its social etiology: the role of life events and social support, Journal of Health and Social Behavior 25: 176–188.

    Google Scholar 

  • McCullagh, P. (1980). Regression models for ordinal data, Journal of Royal Statistical Society B42: 109–142.

    Google Scholar 

  • McCullagh, P. & Nelder, J. A. (1989). Generalized Linear Moodels. 2nd edition. New York: Chapman and Hill.

    Google Scholar 

  • McLanahan, S. S. & Sørensen, A. B. (1985). Life events and psychological well-being over the life course, in G. H. Elder, Jr. (ed.), Life Course Dynamics: Trajectories and Transitions, 1968–1980. Ithaca: Cornell University Press, pp. 217–238.

    Google Scholar 

  • Morgan, I. N., Dickinson, J., Dickinson, K., Benus, J. & Duncan, G. J. (1974). Five Thousand American Families — Patterns of Economic Progress. Vol. 1. Ann Arbor: Institute for Social Research.

    Google Scholar 

  • Kessler, R. C. (1979). A strategy for studying differential vulnerability to the psychological consequences of stress, Journal of Health and Social Behavior 20: 100–108.

    Google Scholar 

  • Pearlin, L. I. (1989). The sociological study of stress, Journal of Health and Social Behavior 30: 241–256.

    Google Scholar 

  • Raftery, A. (1986). A note on the Bays factors for log-linear contingency table models with vague prior information, Journal of the Royal Statistical Society, B, 48: 249–250.

    Google Scholar 

  • Wheaton, B. (1985). Models for the stress-suffering functions of coping resources, Journal of Health and Social Behavior 26: 352–364.

    Google Scholar 

  • Yamaguchi, K. (1990). Logit and multinomial logit models for discrete-time event-history analysis: a causal analysis of interdependent discrete-state processes, Quality & Quantity 24: 323–341.

    Google Scholar 

  • Yamaguchi, K. (1991). Event History Analysis. Newbury Park, CA: Sage.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Sociology, The University of Chicago, 1126 E. 59th Street, Chicago, IL, 60637, USA

    Kazuo Yamaguchi

Authors
  1. Kazuo Yamaguchi
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yamaguchi, K. Some cumulative logit models for panel-data analysis: an application to a dynamic analysis of personal efficacy. Quality & Quantity 31, 287–304 (1997). https://doi.org/10.1023/A:1004296130780

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1004296130780

Keywords

Search

Navigation