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Ms. Monique Newiak
and
Tim Willems
We use the Synthetic Control Method to study the effect of IMF advice on economic growth, inflation, and investment. The analysis exploits the existence of IMF programs that do not involve any financing (Policy Support Instruments, “PSIs”). This enables us to focus on the effects of IMF monitoring, advice, and approval (as opposed to direct financial assistance). In addition, countries with non-financial programs are typically not crisis-struck – thereby mitigating the reverse causality problem and facilitating the construction of counterfactuals. Results suggest that treated countries add about 1 percentage point in annual real GDP per capita growth, with inflation being lower by some 3 percentage points per year. While we do not find evidence for an impact on total investment and the resulting capital stock, PSI-treatment does seem to stimulate foreign direct investment.
Ms. Era Dabla-Norris
,
Yan Ji
,
Robert M. Townsend
, and
Ms. Filiz D Unsal
We develop a micro-founded general equilibrium model with heterogeneous agents to identify pertinent constraints to financial inclusion. We evaluate quantitatively the policy impacts of relaxing each of these constraints separately, and in combination, on GDP and inequality. We focus on three dimensions of financial inclusion: access (determined by the size of participation costs), depth (determined by the size of collateral constraints resulting from limited commitment), and intermediation efficiency (determined by the size of interest rate spreads and default possibilities due to costly monitoring). We take the model to a firm-level data from the World Bank Enterprise Survey for six countries at varying degrees of economic development—three low-income countries (Uganda, Kenya, Mozambique), and three emerging market countries (Malaysia, the Philippines, and Egypt). The results suggest that alleviating different financial frictions have a differential impact across countries, with country-specific characteristics playing a central role in determining the linkages and tradeoffs between inclusion, GDP, inequality, and the distribution of gains and losses.