Using a comprehensive database on bank credit, covering 135 developing countries over the period 1960-2011, we identify, document, and compare the macroeconomic dynamics of credit booms across low-and middle-income countries. The results suggest that while the duration and magnitude of credit booms is similar across country groups, macroeconomic dynamics differ somewhat in low-income countries. We further find that surges in capital inflows are associated with credit booms. Moreover, credit booms associated with banking crises exhibit distinct macroeconomic dynamics, while also reflecting a potentially large deviation of credit from country fundamentals. These results suggest that low-income countries should remain mindful of the inter-linkages between financial liberalization, increased cross-border banking activities, and rapid credit growth.

This paper studies the impact of foreign transfers on the recipient country''s aggregate economic performance, as well as its distribution of wealth and income, within a dynamic two-sector dependent economy framework. The transfers may take the form of a pure flow of resources, devoted to debt reduction, or alternatively they may be allocated to the productivity enhancement of the traded or nontraded sector, via investment in the sector's infrastructure. The effect of the transfer on aggregate economic performance depends crucially upon: (i) the relative capital intensities of the two productive sectors, and (ii) the allocation of the transfers across the sectors. The consequences for wealth and income inequality depend not only upon these two factors, but also upon (iii) the economy's access to the world financial market. Most of the analysis is conducted using numerical simulations, where we characterize the dynamic evolution of both the aggregate economy and wealth/income inequality. Whether growth and inequality are positively or negatively associated over time depends upon the three factors noted above. In this regard, the analysis can be reconciled with the contrasting range of empirical evidence.

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