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Trust in government is particularly important in implementing public health policies especially during crises such as the COVID-19 pandemic. This study investigates the effects of trust in government and compliance with stay at home orders using data from American states during the first wave of the pandemic. A system of four seemingly unrelated regression (SUR) equations covering four consecutive Saturdays starting with April 25 is estimated with maximum likelihood. The regression results indicate that people are more likely to comply with stay at home orders in more trusting states.

In this study we analyze the effects of corruption on income inequality. Our analysis advances the existing literature in three ways. First, instead of using one of the corruption indices assembled by various investment risk services, we use an objective measure of corruption: the number of public officials convicted in a state for crimes related to corruption. Second, we minimize the problems which are likely to arise because of data incomparability by examining the differences in income inequality across the United States. Finally, we exploit both time series and cross‐sectional variation in the data. We find robust evidence that an increase in corruption increases income inequality. (JEL D31, D73, I32)

PurposeThe purpose of this paper is to investigate the relationships between measures of ethnic and religious heterogeneity on the one hand and measures of inequality and redistribution on the other, using state‐level US data.Design/methodology/approachThe relationship between ethnic/religious heterogeneity and inequality/redistribution is estimated, first, with ordinary least squares (OLS) and then with generalized method of moments (GMM). The principal explanatory variables for inequality and redistribution in the study are ethnic and religious polarization and fractionalization measures.FindingsIt is found that inequality is positively associated with polarization and has an inverse‐U relationship with fractionalization. These findings are bolstered by findings of indirect effects of ethnic and religious heterogeneity on inequality through their influence on welfare programs.Originality/valueThis is the first paper investigating the magnitude of possible direct and indirect effects of ethnic and religious heterogeneity on income inequality using US data.

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. Adapted from the source document.