Black and (thin) blue (line): Corruption and other political determinants of police killings in America

Police violence is not uncommon in America, and the risk of civilians' being killed by police is considerably higher here than in similar countries, making it a major public health issue. For Black Americans the risk is significantly higher. In this study, we analyze the political determinants of police killings of Black Americans, with a specific focus on corruption in American states. Our evidence suggests that police can kill Black Americans with impunity because of a lack of accountability—exemplified by corruption—that is largely determined by political influences. Our findings point to ways in which the responsibility for police violence and killings is deeply rooted and influenced by the values of the wider society.     

Legal corruption?

Public Choice - “Legal corruption” may strike many scholars as a contradiction in terms, but in fact the concept can be essential if we are to understand the sources and consequences of...     

Trust and growth

Using data from U.S. states, we find a positive relationship between trust and growth. According to our results, a 10 percentage point increase in trust increases the growth rate of GDP by 0.5 percentage points and the growth rate of manufacturing employment by 1.3 percentage points over a five-year period. Our results are robust to the endogeneity between trust and growth.     

The relationship between corruption and income inequality in U.S. states: evidence from a panel cointegration and error correction model

We investigate the causality between corruption and income inequality within a multivariate framework using a panel data set of all 50 U.S. states over the period 1980 to 2004. The heterogeneous panel cointegration test by Pedroni (Oxf. Bull. Econ. Stat. 61:653–670, 1999; Econom. Theory 20:597–627, 2004) indicates that in the long run corruption and the unemployment rate have a positive and statistically significant impact on income inequality while a negative impact is found for real personal income per capita, education, and unionization rate. The Granger-causality results associated with a panel vector error correction model indicate both short-run and long-run bidirectional causality between corruption and income inequality.