In semiparametric binary response models, support conditions on the regressors are required to guarantee point identification of the parameter of interest. For example,one regressor is usually assumed to have continuous support conditional on the other regressors. In some instances, such...

In semiparametric binary response models, support conditions on the regressors are required to guarantee point identification of the parameter of interest. For example,one regressor is usually assumed to have continuous support conditional on the other regressors. In some instances, such...

This paper revisits the competition-innovation relationship using an unbalanced panel of enterprise data stemming from four waves of the Luxembourgish innovation survey for the period 2002-2010. We estimate by full-information maximum likelihood a nonlinear dynamic simultaneous-equations model...

This paper examines the relationship between sovereign credit default swaps CDS and sovereign rating changes of European countries. To this aim, a new estimator is introduced which merges mixed data sampling MIDAS with probit regression. Simulations show that the estimator has good properties in...

I use data from the South African Social Giving Survey to investigate the role of social capital and motivations for giving to formal charities and beggars. Results suggest that both impure altruism and inequality aversion positively influence giving to formal charities but they have no...

This paper introduces dynamics in the RD to innovation and innovation to productivity relationships, which have mostly been estimated on cross-sectional data. It considers four nonlinear dynamic simultaneous equations models that include individual effects and idiosyncratic errors correlated...

This paper explores the inferential question in semiparametric binary response models when the continuous support condition is not satisfied and all regressors have discrete support. I focus mainly on the models under the conditional median restriction, as in Manski (1985). I find sharp bounds...