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The Spring-Summer 2019 issue of the IMF Research Perspectives explores how technology deals with old questions. Articles discuss the ways technological progress and the increased availability of data have helped in some areas, while presenting new challenges for analyzing various matters. The issue also includes an interview with Gita Gopinath, the new director of the IMF Research Department.
Cem Karayalcin
and
Mihaela Pintea
The process of economic development is characterized by substantial reallocations of resources across sectors. In this paper, we construct a multi-sector model in which there are barriers to the movement of labor from low-productivity traditional agriculture to modern sectors. With the barrier in place, we show that improvements in productivity in modern sectors (including agriculture) or reductions in transportation costs may lead to a rise in agricultural employment and through terms-oftrade effects may harm subsistence farmers if the traditional subsistence sector is larger than a critical level. This suggests that policy advice based on the earlier literature needs to be revised. Reducing barriers to mobility (through reductions in the cost of skill acquisition and institutional changes) and improving the productivity of subsistence farmers needs to precede policies designed to increase the productivity of modern sectors or decrease transportation costs.
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.
Mr. Jean-Claude Berthélemy
and
Mr. Ludvig Söderling
This paper examines past African growth experience and attempts to simulate future ones. In addition to more commonly used determinants of total factor productivity, a measure of the effect of labor reallocation and an index of economic diversification are constructed and included as factors for long-term growth. A simple model is constructed for the purpose of simulating growth scenarios up to the year 2020 for Burkina Faso, CĂ´te d'Ivoire, Ghana, Mali, Tanzania, and Uganda. Even if one makes relatively optimistic assumptions, Africa is not likely to reach "Asian tiger" levels of growth. The results also suggest that growth will depend, to a large extent, on educational investments and productivity gains in agriculture.
Mr. Atish R. Ghosh
and
Mr. Steven T Phillips
Although few would doubt that very high inflation is bad for growth, there is much less agreement about moderate inflation’s effects. Using panel regressions and a nonlinear specification, this paper finds a statistically and economically significant negative relationship between inflation and growth. This relationship holds at all but the lowest inflation rates and is robust across various samples and specifications. The method of binary recursive trees identifies inflation as one the most important statistical determinants of growth. Finally, while there are short-run growth costs of disinflation, these are only relevant for the most severe disinflations, or when the initial inflation rate is well within the single-digit range.