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Semiparametric Bayesian inference for dynamic Tobit panel data models with un...
This paper develops semiparametric Bayesian methods for inference of dynamic Tobit panel data models. Our approach requires that the conditional mean dependence of the... -
R&D and subsidies at the firm level: an application of parametric and sem...
This paper analyzes the effect of public R&D subsidies on firms' private R&D investment per employee and new product sales in German manufacturing. Parametric and... -
Bayes estimates of distance-to-market: transactions costs, cooperatives and m...
Rationalizing non-participation as a resource deficiency in the household, this paper identifies strategies for milk-market development in the Ethiopian highlands. The... -
Modes, weighted modes, and calibrated modes: evidence of clustering using mod...
We apply recent results from the statistics literature to test for multimodality of worldwide distributions of several (unweighted and population-weighted) measures of labor... -
Learning and fatigue during choice experiments: a comparison of online and ma...
This study investigates the effect of survey mode on respondent learning and fatigue during repeated choice experiments. Stated preference data are obtained from an experiment... -
Is gravity linear? (replication data)
Despite the solid theoretical foundation on which the gravity model of bilateral trade is based, empirical implementation requires several assumptions which do not follow... -
Extreme US stock market fluctuations in the wake of 9/11 (replication data)
We apply extreme value analysis to US sectoral stock indices in order to assess whether tail risk measures like value-at-risk and extremal linkages were significantly altered by...
