Tilburg University

About: Tilburg University is a education organization based out in Tilburg, Noord-Brabant, Netherlands. It is known for research contribution in the topics: Population & Anxiety. The organization has 5550 authors who have published 22330 publications receiving 791335 citations.

Corruption's Effect on Growth and its Transmission Channels

Abstract: A common finding of recent theoretical and empirical literature is that corruption has a negative effect on economic growth. In the paper, through growth regression analysis, we estimate the direct and indirect effects of corruption on economic growth. The indirect transmission channels, specifically investments, trade policy, schooling, and political stability, analysed in our study prove to be significant in explaining the deleterious effect of corruption on growth rates. We find that one standard deviation increase in the corruption index is associated with a decrease in investments of 2.46 percentage points, which in turn decreases economic growth by 0.34 percent per year. The second, by importance, transmission channel is openness: a standard deviation increase in the corruption index is associated with a decrease of the openness index by 0.19, resulting in a decrease in economic growth by 0.30 percent per year. Jointly, the transmission channels explain 81 percent of the effect of corruption on growth. While combating corruption is a long-term task, an understanding of the transmission channels, through which corruption affects the economy, may suggest ways to limit corruption's negative, but indirect, effects on growth.

Trust and economic growth: a robustness analysis

Abstract: This paper analyses the robustness of results on the relationship between growth and trust previously derived by Knack and Keefer (1997) and Zak and Knack (2001) along several dimensions, acknowledging the complexity of the concept of robustness. Our results show that the Knack and Keefer results are only limitedly robust, whereas the results found by Zak and Knack are highly robust in terms of significance of the estimated coefficients and reasonably robust in terms of the estimated effect size. The improvement in robustness is caused by the inclusion of countries with relatively low scores on trust (most notably, the Philippines and Peru). Overall, our results point at a relatively important role for trust. However, the answer to the question how large this payoff actually is depends on the set of conditioning variables controlled for in the regression analysis and—to an even larger extent—on the underlying sample.

Time series analysis of non‐Gaussian observations based on state space models from both classical and Bayesian perspectives

Abstract: The analysis of non-Gaussian time series by using state space models is considered from both classical and Bayesian perspectives. The treatment in both cases is based on simulation using importance sampling and antithetic variables; Markov chain Monte Carlo methods are not employed. Non-Gaussian disturbances for the state equation as well as for the observation equation are considered. Methods for estimating conditional and posterior means of functions of the state vector given the observations, and the mean-square errors of their estimates, are developed. These methods are extended to cover the estimation of conditional and posterior densities and distribution functions. The choice of importance sampling densities and antithetic variables is discussed. The techniques work well in practice and are computationally efficient. Their use is illustrated by applying them to a univariate discrete time series, a series with outliers and a volatility series.

Morality in everyday life

Abstract: The science of morality has drawn heavily on well-controlled but artificial laboratory settings. To study everyday morality, we repeatedly assessed moral or immoral acts and experiences in a large (N = 1252) sample using ecological momentary assessment. Moral experiences were surprisingly frequent and manifold. Liberals and conservatives emphasized somewhat different moral dimensions. Religious and nonreligious participants did not differ in the likelihood or quality of committed moral and immoral acts. Being the target of moral or immoral deeds had the strongest impact on happiness, whereas committing moral or immoral deeds had the strongest impact on sense of purpose. Analyses of daily dynamics revealed evidence for both moral contagion and moral licensing. In sum, morality science may benefit from a closer look at the antecedents, dynamics, and consequences of everyday moral experience.