I estimate a multivariate probit model to identify key variables that are predictive of banking crises. To add to the literature on this subject, I focus on the role played by unofficial dollarization of domestic banking systems. Unofficial dollarization is a source of vulnerability for emerging markets as large depreciations render both domestic firms and banks unable to pay dollar-denominated...

SUMMARY The development of adequate models for binary time series data with covariate adjustment has been an active research area in the last years. In the case, where interest is focused on marginal and association parameters, generalized estimating equations (GEE) (see for example Lipsitz, Laird and Harrington (1991) and Liang, Zeger and Qaqish (1992)) and likelihood (see for example Fitzmaur...

This paper provides a uni ed simulation-based Bayesian and non-Bayesian analysis of correlated binary data using the multivariate probit model. The posterior distribution is simulated by Markov chain Monte Carlo methods, and maximum likelihood estimates are obtained by a Monte Carlo version of the E-M algorithm. Computation of Bayes factors from the simulation output is also considered. The met...

Why do countries differ so much in the extent to which they adopt neo-liberal, marketoriented reform in their infrastructure industries? Building on world-society and neo-institutional theories in sociology, we argue that international pressures of coercion, normative emulation, and competitive mimicry strongly influence the domestic adoption of market-oriented reform. We consider the effect of...

We examine the factors that are associated with whether a bill passes the committee stage in the U.S. House of Representatives. Probit results for the 97th and 98th Congresses show that a bill is more likely to pass (1) if the sponsor chairs the committee that considers the bill or a subcommittee of that committee; (2) the higher the number of Democratic cosponsors who sit on the committee; (3)...

The objective of this research is to understand the demand for information technology among trucking companies. A multivariate discrete choice model is estimated on data from a large-scale survey of the trucking industry in California. This model is designed to identify the influences of each of twenty operational characteristics on the propensity to adopt each of seven different information te...

Poirier (1980, JoE) considered a bivariate probit model in which the binary dependent variables y 1 and y 2 were not observed individually, but the product z = y 1 @y 2 was observed. This paper expands this notion of partial observability to multivariate settings.

SUMMARY The development of adequate models for binary time series data with covariate adjustment has been an active research area in the last years. In the case, where interest is focused on marginal and association parameters, generalized estimating equations (GEE) (see for example Lipsitz, Laird and Harrington (1991) and Liang, Zeger and Qaqish (1992)) and likelihood (see for example Fitzmaur...

Between 1993 and 1995, the majority of German firms in services introduced new organizational practices (OC), in particular total quality management systems, certified ISO 9000, lean administration, flatter hierarchies, delegation of authority and ICT-enabled organizational changes). This paper analyzes the impact of organizational change as well as the impact of the introduction of information...