Sergio Olivieri

Is Labor Income Responsible for Poverty Reduction? A Decomposition Approach

Demographics, labor income, public transfers, or remittances: Which factor contributes the most to observed reductions in poverty? Using counterfactual simulations, this paper accounts for the contribution labor income has made to the observed changes in poverty over the past decade for a set of 16 countries that have experienced substantial declines in poverty. In contrast to methods that focus on aggregate summary statistics, the analysis generates entire counterfactual distributions that allow assessing the contributions of different factors to observed distributional changes. Decompositions across all possible paths are calculated so the estimates are not subject to path-dependence. The analysis shows that for most countries in the sample, labor income is the most important contributor to changes in poverty. In ten of the countries, labor income explains more than half of the change in moderate poverty; in another four, it accounts for more than 40 percent of the reduction in poverty. Although public and private transfers were relatively more important in explaining the reduction in extreme poverty, more and better-paying jobs were the key factors behind poverty reduction over the past decade.

The poverty impacts of climate change: a review of the evidence

Climate change is believed to represent a serious challenge to poverty reduction efforts around the globe. This paper conducts an up-to-date review of three main strands of the literature analyzing the poverty impacts of climate change : (i) economy-wide growth models incorporating climate change impacts to work out consistent scenarios for how climate change might affect the path of poverty over the next decades; (ii) studies focusing on the poverty impacts of climate change in the agricultural sector; and (iii) studies exploring how past climate variability impacts poverty. The analysis finds that the majority of the estimates of the poverty impacts tend to ignore the effect of aggregate economic growth on poverty and household welfare. The empirical evidence available to date suggests that climate change will slow the pace of global poverty reduction, but the expected poverty impact will be relatively modest and far from reversing the major decline in poverty that is expected to occur over the next 40 years as a result of continued economic growth. The studies focusing on the sector-specific channels of impacts of climate change suggest that the estimated impacts of climate change on agricultural yields are generally a poor predictor of the poverty impacts of climate change at the national level due to heterogeneity in the ability of households to adapt. It also appears that the impacts of climate change are generally regressive, that is, they fall more heavily on the poor than the rich.

Labor informality bias of a poverty-alleviation program in Argentina

In 2002, in the midst of a serious macroeconomic crisis, Argentina implemented a large social program (the Programa Jefes de Hogar, PJH) that provides cash transfers to unemployed household heads meeting certain criteria. In practice, the difficulty in monitoring the unemployment requirement for informal (unregistered) workers would imply a disincentive for the program participants to search for a formal job. By applying matching techniques we evaluate the empirical relevance of this prediction during the period of strong economic growth that followed the crisis. We find some evidence on the informality bias of the PJH when the value of the cash transfer was relatively high compared to wages in the formal labor market.

Income Polarization in Latin America: Patterns and Links with Institutions and Conflict

This paper presents a set of statistics that characterize the degree of income polarization in Latin America and the Caribbean (LAC). The study is based on a dataset of household surveys from 21 LAC countries in the period 1989–2004. Latin America is characterized by a high level of income polarization. On average, income polarization mildly increased in the region in the period under analysis. The paper suggests that institutions and conflict interact in different ways with the various characteristics of the income distribution. In particular, countries with high income polarization and inequality are more likely to have high levels of social conflict.

What is behind the decline in poverty since 2000 ? evidence from Bangladesh, Peru and Thailand

This paper quantifies the contributions of different factors to poverty reduction observed in Bangladesh, Peru and Thailand over the last decade. In contrast to methods that focus on aggregate summary statistics, the method adopted here generates entire counterfactual distributions to account for the contributions of demographics and income from labor and non-labor sources in explaining poverty reduction. The authors find that the most important contributor was the growth in labor income, mostly in the form of farm income in Bangladesh and Thailand and non-farm income in the case of Peru. This growth in labor incomes was driven by higher returns to individual and household endowments, pointing to increases in productivity and real wages as the driving force behind poverty declines. Lower dependency ratios also helped to reduce poverty, particularly in Bangladesh. Non-labor income contributed as well, albeit to a smaller extent, in the form of international remittances in the case of Bangladesh and through public and private transfers in Peru and Thailand. Transfers are more important in explaining the reduction in extreme compared with moderate poverty.

Assessing Ex Ante the Poverty and Distributional Impact of the Global Crisis in a Developing Country: A Micro-Simulation Approach with Application to Bangladesh

Measuring the poverty and distributional impact of the global crisis for developing countries is not easy, given the multiple channels of impact and the limited availability of real-time data. Commonly-used approaches are of limited use in addressing questions like who are being affected by the crisis and by how much, and who are vulnerable to falling into poverty if the crisis deepens? This paper develops a simple micro-simulation method, modifying models from existing economic literature, to measure the poverty and distributional impact of macroeconomic shocks by linking macro projections with pre-crisis household data. The approach is then applied to Bangladesh to assess the potential impact of the slowdown on poverty and income distribution across different groups and regions. A validation exercise using past data from Bangladesh finds that the model generates projections that compare well with actual estimates from household data. The results can inform the design of crisis monitoring tools and policies in Bangladesh, and also illustrate the kind of analysis that is possible in other developing countries with similar data availability.

Assessing Poverty and Distributional Impacts of the Global Crisis in the Philippines : A Microsimulation Approach

As the financial crisis has spread through the world, the lack of real-time data has made it difficult to track its impact in developing countries. This paper uses a micro-simulation approach to assess the poverty and distributional effects of the crisis in the Philippines. The authors find increases in both the level and the depth of aggregate poverty. Income shocks are relatively large in the middle part of the income distribution. They also find that characteristics of people who become poor because of the crisis are different from those of both chronically poor people and the general population. The findings can be useful for policy makers wishing to identify leading monitoring indicators to track the impact of macroeconomic shocks and to design policies that protect vulnerable groups.

Export Taxes, World Prices, and Poverty in Argentina: A Dynamic CGE-Microsimulation Analysis

In this paper we implement a sequential dynamic computable general equilibrium model combined with microsimulations to assess (1) the short- and long-run economic impacts of a gradual reduction in the export tax that was introduced during the economic crisis that hit Argentina at the end of 2001, and (2) the impact of a decrease in the world prices of food products, one of the country’s main export product. Our results show that the elimination of the export tax would have different long run effects depending on the fiscal instrument that is used by the government to compensate for the loss in tax revenue. On the one hand, when the government budget is equilibrated by an increased deficit, the average annual growth rate for 2008-2015 is lower than in the baseline scenario. On the other hand, when the government budget is equilibrated by an increased direct tax rate, there is a long-run positive effect on growth. In any case, the employment level is lower and the price of food items is higher. Therefore, the poverty headcount ratio increases. As expected, a reduction in the world price of food items (i.e., a worsening in Argentina’s terms of trade) would impact negatively on the country’s GDP growth rate and poverty, particularly in the rural areas.

Rent imputation for welfare measurement : a review of methodologies and empirical findings

As well acknowledged in the literature, housing is often the dominant consumption good for most households. As such, it should be included in a comprehensive welfare aggregate to measure peoples living standards accurately. However, assigning a value to the flow of the dwelling for homeowners and nonmarket tenants is problematic. Over the last decades several estimation techniques have been proposed and implemented by practitioners covering from very simple to sophisticated approaches. This paper provides an extensive review of different methods to impute rent, commonly used for welfare analysis. It also gives an overview of how this problem has been addressed by other economic domains, namely national accounts, price indices, purchasing power parities, and taxation. Finally, after setting up a theoretical framework, the paper summarizes the empirical findings about the distributional impact of including imputed rents in welfare aggregates.

Understanding poverty reduction in Sri Lanka: evidence from 2002 to 2012/13

This paper quantifies the contributions to poverty reduction observed in Sri Lanka between 2002 and 2012/13. The methods adopted for the analysis generate entire counterfactual distributions to account for the contributions of demographics, labor, and non-labor incomes in explaining poverty reduction. The findings show that the most important contributor to poverty reduction was growth in labor income, stemming from an increase in the returns to salaried nonfarm workers and higher returns to self-employed farm workers. Although some of this increase in earnings may point to improvements in productivity, defined as higher units of output per worker, some of it may simply reflect increases in food and commodity prices, which have increased the marginal revenue product of labor. To the extent that there have been no increases in the volumes being produced, the observed changes in poverty are vulnerable to reversals if commodity prices were to decline significantly. Finally, although private transfers (domestic and foreign) helped to reduce poverty over the period, public transfers were not as effective. In particular, the reduction in the real value of transfers of the Samurdhi program during 2002 to 2012/13 slowed down poverty reduction.