The question of whether people are motivated to engage in civic activities once informed of their local government's performance is relevant to many developing countries that adopted decentralisation. Applying propensity score matching technique on a unique household-level dataset from the Philippines, it is found that the knowledge of an index of local government performance has positive and statistically significant effects on the likelihood of membership in local organisations and participation in local projects. Thus, the results support policies for greater transparency in local governance to deepen citizenship.

A growing body of literature suggests that political regime type matters in determining taxation. However, research on the relationship of political regimes to taxation yields mixed results. To what extent does the democratic or authoritarian character of the polity impact on the level of taxation? The paper investigates the relationship between political regimes and tax-to-gross domestic product ratio, using a panel dataset of 131 countries and covering the period 1990-2008. Findings suggest that the character of the polity affects taxation, but there is no linear trend in favour of democracy. Rather, the results indicate a U-shaped relationship between polity and tax ratio.

Attempts have been made in the empirical literature to identify credit rationing and its determinants using balance sheet data or evidence from corporate surveys. However, observational equivalence, identification problems, and interview biases are serious problems in these studies. We analyze directly the determinants of credit rationing in credit files by examining the difference between the amounts demanded by and supplied to each borrower, as shown by official bank records. Our findings provide microeconomic evidence that supports the credit view hypothesis by showing that the European Central Bank refinancing rate is significantly and positively related to partial (but not total) credit rationing. This finding is consistent with the hypothesis that this variable affects the total volume of bank loans.JEL codes: E51, G21

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