This paper focuses on the relationship between political instability, policy-making and macroeconomic outcomes. The theoretical section explores various models that explain the effect of instability (and political uncertainty) on growth, budget formation, inflation and monetary policy. The empirical section discusses the evidence on the predictions generated by theoretical models. Preliminary to this discussion, however, is the analysis of a few general issues concerning the specification and estimation of econometric models with political variables. Some new results are then produced on the empirical relevance of theories of strategic use of fiscal deficit.

Financial development is commonly identified as an important condition for fostering investment and economic growth. It is also believed that migrants’ remittances stimulate financial development in the receiving economy, contributing indirectly to economic growth. We explore the relationship between remittances and financial development using macro‐ and micro‐level data. From cross‐country panel data, we find evidence of a negative relationship between remittances and financial deepening in developing countries. Using household survey data from a study of migrants’ remittances in two CIS countries, Azerbaijan and Kyrgyzstan, we also investigate the relationship between remittances, financial intermediation and ‘financial literacy’ among remittance‐receiving households. While we find some evidence of a positive, albeit weak, relationship for Kyrgyzstan, in Azerbaijan, the relatively more financially developed economy, we uncover a strong perverse relationship. Remittances appear to deter bank intermediation and use of formal banking services. Possible reasons are explored and areas for further investigation identified.

The paper studies the effect of resource abundance on human development. A simple theory is presented to show that resource abundance negatively affects human development through its effect on inequality. The prediction of the theory is then tested using a system of three equations. Estimates indicate that the transmission channel through inequality is statistically significant and economically relevant even after controlling for per-capita income, institutional quality, and other determinants of both human development and inequality.

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