Camelia Minoiu

Has World Poverty Really Fallen

We evaluate the claim that world consumption poverty has fallen since 1990 in light of alternative assumptions about the extent of initial poverty and the rate of subsequent poverty reduction in China, India, and the rest of the developing world. We use two poverty indicators: the aggregate headcount and the headcount ratio, and consider two widely-used international poverty lines (

Real Income Stagnation of Countries 1960-2001

1/day and

Chinese Poverty: Assessing the Impact of Alternative Assumptions

2/day). We conclude that, because of uncertainties in relation to the extent and trend of poverty in China, India, and the rest of the developing world, global poverty may or may not have increased. The extent of the estimated increase or decrease in world poverty is critically dependent on the assumptions made. Our conclusions highlight the importance of improving the quality of global poverty statistics.

Risk Insurance in a Transition Economy: Evidence from Rural Romania

Abstract This paper examines the phenomenon of real-income stagnation (in which real-income growth is uninterruptedly negligible or negative for a sizable sequence of years). We analyse data for four decades from a large cross-section of countries. Real income stagnation is a conceptually distinct phenomenon from low average growth and other features of the growth sequence that have been previously considered. We find that real income stagnation has affected a significant number of countries (103 out of 168), and resulted in substantial income loss. Countries that suffered spells of real income stagnation were more likely to be poor, in Latin America or sub-Saharan Africa, conflict ridden and dependent on primary commodity exports. Stagnation is also very likely to persist over time. Countries that were afflicted with stagnation in the 1960s had a likelihood of 75 per cent of also being afflicted with stagnation in the 1990s.

Business Cycle Fluctuations, Large Shocks, and Development Aid; New Evidence

This paper investigates how estimates of the extent and trend of consumption poverty in China between 1990 and 2004 vary as a result of alternative plausible assumptions concerning the poverty line and estimated levels of consumption. Our methodology focuses on the following sources of variation: purchasing power exchange rates (used to convert an international poverty line), alternative levels and distributions of private incomes, alternative estimates of the propensity to consume of different income groups, and alternative spatial and temporal price indices. We report national, urban and rural poverty estimates corresponding to distinct assumptions. It is widely believed that substantial poverty reduction took place in China in the 1990s, and we find this conclusion to be largely robust to the choice of assumptions, although estimates of the extent of Chinese poverty, and therefore of world poverty, in any year are greatly influenced by this choice.

Global Poverty Estimates: A Sensitivity Analysis

We test the hypothesis of Pareto optimal risk-sharing in a transition economy using a new dataset on a representative sample of 364 rural households from Romania. We identify income shocks as instances of adverse weather, crop and animal diseases, as well as illness and unemployment spells. Despite limited participation of Romanian rural households in formal insurance and credit markets, we fail to reject the hypothesis of full insurance of total non-durable consumption and its components. Survey responses indicate that the main channels of consumption smoothing are self-insurance (for adverse weather, crop and animal diseases), public transfers (for unemployment spells), and to a lesser extent, family ties. We find that adverse weather is associated with higher growth rates of non-food expenditures. Furthermore, richer households are better able to cope with crop failure than poorer households. An alternative explanation to our not rejecting the hypothesis of full insurance is that some shocks to consumption (e.g., illness) play the role of preference shifters of the utility function.

Does financial connectedness predict crises

We examine the cyclical properties of development aid using bilateral data for 22 donors and over 100 recipients during 1970‒2005. We find that bilateral aid flows are on average pro-cyclical with respect to business cycles in donor and recipient countries. However, they become counter-cyclical when recipient countries face large adverse shocks to the terms-of-trade or growth collapses - thus playing an important cushioning role. Aid outlays contract sharply during severe donor economic downturns; this effect is magnified by higher public debt levels. Additionally, bilateral aid flows are higher in the presence of IMF programs and are more counter-cyclical for recipient countries with stronger institutions.

Global Poverty Estimates: Present and Future

Current estimates of global poverty vary substantially across studies. We undertake a sensitivity analysis to highlight the importance of methodological choices by measuring global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across estimation methods. The decline in poverty over the past decade is found to be robust across methodological choices.

The Equilibrium Exchange Rate of Mauritius: Evidence from Two Structural Models

The global financial crisis has reignited interest in models of crisis prediction. It has also raised the question whether financial interconnectedness—a possible source of systemic risk—can serve as an early warning indicator of crises. In this paper, we examine the ability of connectedness in the global network of financial linkages to predict systemic banking crises during the 1978–2010 period. Our results indicate that increases in a country’s own connectedness and decreases in its neighbours’ connectedness are associated with a higher probability of banking crises after controlling for macroeconomic fundamentals. Our findings suggest that financial interconnectedness has early warning potential, especially for the 2007–2010 wave of systemic banking crises.

The Estimation of Poverty and Inequality through Parametric Estimation of Lorenz Curves: An Evaluation

We review the recent empirical literature on global poverty, focusing on key methodological aspects. These include the choice of welfare indicator, poverty line and purchasing power parity exchange rates, equivalence scales, data sources, and estimation methods. We also discuss the importance of the intra-household resource allocation process in determining within-household inequalities and potentially influencing poverty estimates. Based on a sensitivity analysis of global poverty estimates to different methodological approaches, we show that existing figures vary markedly with the choice of data source for mean income or consumption used to scale relative distributions; and with the statistical method used to estimate income distributions from tabulated data.