Dynamic latent trait models: An application to Latin American banking crises

Electoral Studies

Volumn 28, Issue 3, 2009, Pages 375-387

  Rosas, Guillermo ^a  

^a WASHINGTON UNIVERSITY   (United States)

Author keywords

Bank crises; Dynamic factor analysis; Hierarchical models; Latin America; Time dependence

Indexed keywords

BANKING; BAYESIAN ANALYSIS; ECONOMETRICS; FACTOR ANALYSIS; FINANCIAL CRISIS; HIERARCHICAL SYSTEM; NUMERICAL MODEL; TIME SERIES ANALYSIS;

LATIN AMERICA;

EID: 67849128537     PISSN: 02613794     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.electstud.2009.05.013     Document Type: Article

References (34)

1. Aguilar O., and West M. Bayesian dynamic factor models and portfolio allocation. Journal of Business and Economic Statistics 18 3 (2000) 338-357
2. Albert J.H., and Chib S. Bayesian analysis of binary and polychotomous response data. Journal of the American Statistical Association 88 422 (1993) 669-679
3. Angeriz A., and Arestis P. Assessing inflation targeting through intervention analysis. Oxford Economic Papers 60 2 (2008) 293-317
4. Bollen K.A., and Paxton P. Subjective measures of liberal democracy. Comparative Political Studies 33 1 (2000) 58-86
5. Caprio G., Klingebiel D., Laeven L., and Noguera G. Appendix. Banking crisis database. In: Honohan P., and Laeven L. (Eds). Systemic Financial Crises. Containment and Resolution (2005), Cambridge University Press, Cambridge, UK 309-340
6. Chinn M.D., and Ito H. Capital Account Liberalization, Institutions and Financial Development: Cross-Country Evidence (2002), University of California, Santa Cruz
7. Chiu G.S., Guttorp P., Khan S.A., Liang J., and Westveld A. An Ecological Latent Health Factor Index via a Random-Effects Model for Taxa Richness and Composition. Working paper 2006-02 (2006), University of Waterloo
8. Clinton J., Jackman S., and Rivers D. The statistical analysis of roll call data. American Political Science Review 98 2 (2004) 355-370
9. Congdon P. Bayesian Statistical Modelling. Probability and Statistics. second ed. (2006), John Wiley & Sons, West Sussex, GB
10. Demirgüç-Kunt A., Kane E.J., and Laeven L. Determinants of Deposit-Insurance Adoption and Design. Working Paper 12862 (2007), National Bureau of Economic Research, Cambridge, MA
11. Dunson D.B. Dynamic latent trait models for multidimensional longitudinal data. Journal of the American Statistical Association 98 463 (2003) 555-563
12. Forni M., Hallin M., Lippi M., and Reichlin L. The generalized dynamic-factor model: identification and estimation. Review of Economics and Statistics 82 4 (2000) 540-554
13. Gelman A., and Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models (2007), Cambridge University Press, Cambridge, MA
14. Geweke J.F., and Singleton K. Maximum likelihood "confirmatory" factor analysis of economic time series. International Economic Review 22 1 (1981) 37-54
15. Heaton C., and Solo V. Identification of causal factor models of stationary time series. Econometrics Journal 7 (2004) 618-627
16. Huber J.D., and Gabel M. Putting parties in their place: inferring party left-right ideological positions from manifestos data. American Journal of Political Science 44 1 (2000) 94-103
17. Ishihara, Y., 2005. Quantitative Analysis of Crisis: Crisis Identification and Causality. World Bank Policy Research Working Paper WPS3598.
18. Jöreskog K.G. Some contributions to maximum likelihood factor analysis. Psychometrika 32 (1967) 443-482
19. Kaminsky, G.L., 2000. Currency and Banking Crises: the Early Warnings of Distress, unpublished manuscript, George Washington University.
20. Keefer P. Elections, special interests, and financial crisis. International Organization 61 (2007) 607-641
21. Martin A.D., and Quinn K.M. Dynamic ideal point estimation via Markov chain Monte Carlo for the U.S. Supreme Court, 1953-1999. Political Analysis 10 2 (2002) 134-153
22. Montinola G.R. Who recovers first? Banking crises resolution in developing countries. Comparative Political Studies 36 5 (2003) 541-574
23. Moustaki I., and Knott M. Generalized latent trait models. Psychometrika 65 (2000) 391-411
24. Muthen B. Contributions to factor analysis of dichotomous variables. Psychometrika 43 4 (1978) 551-560
25. Peek J., and Rosengren E. Implications of globalization of the banking sector: the Latin American experience. In: Jordan J.S., and Rosengren E.S. (Eds). Building an Infrastructure for Financial Stability. Conference Series 44 (2000), Federal Reserve Bank of Boston 145-170
26. Pemstein, D., Meserve, S., Melton, J., 2008. Democratic Compromise: a Latent Variable Analysis of Ten Measures of Regime Type, unpublished manuscript.
27. Quinn K.M. Bayesian factor analysis for mixed ordinal and continuous responses. Political Analysis 12 4 (2004) 338-353
28. Rosas G. Bagehot or Bailout? An analysis of government responses to banking crises. American Journal of Political Science 50 1 (2006)
29. Rosas, G., 2009. Curbing Bailouts: Bank Crises and Democratic Accountability in Comparative Perspective. University of Michigan Press, Ann Arbor, MI.
30. Sammel M.D., Ryan L.M., and Legler J.M. Latent variable models for mixed discrete and continuous outcomes. Journal of the Royal Statistical Society Series B 59 (1997) 667-678
31. Satyanath S. Globalization, Politics, and Financial Turmoil. Asia's Banking Crisis (2006), Cambridge University Press, New York, NY
32. Thurstone L.L. Multiple Factor Analysis (1947), University of Chicago Press, Chicago, IL
33. Treier S., and Jackman S. Democracy as a latent variable. American Journal of Political Science 52 1 (2008)
34. West M. Bayesian factor regression models in the "large p, small n" paradigm. Bayesian Statistics 7 (2003)