This paper analyzes the effects of education on rural employment in Peru. The inequalities between individuals regarding the time spent on education and on vocational training results in strong disparities in the forms of employment and the quality of the jobs occupied. The results also indicate...

Nearly all applied research on arts activity has examined phenomena in metropolitan areas. Findings from this past research confirm an arts specialization in a limited number of cities. This paper finds a similar pattern in nonmetropolitan areas, where a limited number of counties maintain or...

The motivation for this paper is to determine the potential economic value of advanced modelling methods for devising trading decision tools for 10-year Government bonds. Two advanced methods are used: time-varying parameter models with the implementation of state space modelling using a Kalman...

This paper investigates how managerial capacity aspects influence efficiency of dairy farms in Sweden. Based on non-parametric methods, Tobit and logistic regressions, several managerial capacity aspects are found to influence long and short run input efficiency scores, but to influence output...

The classical approach for specifying statistical models with binary dependent variables in econometrics using latent variables or threshold models can leave the model misspecified, resulting in biased and inconsistent estimates as well as erroneous inferences. Furthermore, methods for trying to...

Within Stata there are two ways of getting average predicted values for different groups after an estimation command: adjust and predict. After OLS regression (regress), these two ways give the same answer. However, after logistic regression, the average predicted probabilities differ. This...

This paper considers the role of covariates when using predicted probabilities to interpret main effects and interactions in logit models. While predicted probabilities are very intuitive for interpreting main effects and interactions, the pattern of results depends on the contribution of...

Joint modeling techniques have become a popular strategy for studying the association between a response and one or more longitudinal covariates. Motivated by the GenIMS study, where it is of interest to model the event of survival using censored longitudinal biomarkers, a joint model is...

The current financial crisis has boosted the efforts of international financial institutions to strengthen collaboration in the field of banking supervision, with a particular focus on macro prudential supervision. One of the stated objectives is the creation of a warning system, in which...