This paper extends the literature on the information content of financial variables with respect to future economic growth. It shows that variables originating from both the equity market and the bond market in Switzerland are useful indicators for forecasting the Swiss business cycle. In...

This paper considers dynamic time series binary choice models. It proves near epoch dependence and strong mixing for the dynamic binary choice model with correlated errors. Using this result, it shows in a time series setting the validity of the dynamic probit likelihood procedure when lags of...

Using the case study of Trinidad and Tobago we investigate for an emerging economy the socioeconomic, demographic, and attitudinal characteristics that influence the propensity of individuals in the household sector to participate in the hidden economy and their perception of the risk of...

The paper evaluates the German health care reform of 1997, using the individual number of doctor visits as outcome measure and data from the German Socio- Economic Panel for the years 1995-1999. A number of modified count data models allow to estimate the effect of the reform in different parts...

Increasing evidence from the empirical economic and psychological literature suggests that positive and negative well-being are more than opposite ends of the same phenomenon. Two separate measures of the dependent variable may be needed when analyzing the determinants of subjective well-being....

The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor on a binary outcome variable. This paper discusses simple modifications that maintain the probit assumption for the marginal distributions while introducing non-normal dependence among the...

The previous literature on the determinants of individual well-being has failed to fully account for the interdependencies in well-being at the family level. This paper develops an ordered probit model with multiple random effects that allows to identify the intrafamily correlation in...

The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the treatment) on a binary health outcome variable. This paper discusses simple modifications that maintain the probit assumption for the marginal distributions while introducing non-normal...

This paper documents the growth of low cost carriers (LCCs) in the U.S. airline industry since 1990. By estimating simple probit models, we quantify the market characteristics which have influenced nonstop LCC entry in 351 city-pair markets over the past decade. We confirm that pre-entry market...