Pablo Acosta

Bio: Pablo Acosta is an academic researcher from World Bank. The author has contributed to research in topics: Poverty & Social protection. The author has an hindex of 23, co-authored 91 publications receiving 3629 citations. Previous affiliations of Pablo Acosta include University of Illinois at Urbana–Champaign & Federal University of Roraima.

What is the Impact of International Remittances on Poverty and Inequality in Latin America

Abstract: Workers' remittances have become a major source of income for developing countries. However, little is still known about their impact on poverty and inequality. Using a large cross-country panel dataset, the authors find that remittances in Latin American and Caribbean (LAC) countries have increased growth and reduced inequality and poverty. These results are robust to the use of different instruments that attempt to correct for the potential endogeneity of remittances. Household survey-based estimates for 10 LAC countries confirm that remittances have negative albeit relatively small inequality and poverty-reducing effects, even after imputations for the potential home earnings of migrants.

Remittances and the Dutch Disease

Abstract: Using data for El Salvador and Bayesian techniques, we develop and estimate a two-sector dynamic stochastic general equilibrium model to analyze the effects of remittances in emerging market economies. We focus our study on whether rising levels of remittances result in the Dutch disease phenomenon in recipient economies. We find that, whether altruistically motivated or otherwise, an increase in remittances flows leads to a decline in labor supply and an increase in consumption demand that is biased toward nontradables. The increase in demand for nontradables, coupled with higher production costs, results in an increase in the relative price of nontradables, which further causes the real exchange rate to appreciate. The higher nontradable prices serve as an incentive for an expansion of that sector, culminating in reallocation of labor away from the tradable sector. This resource reallocation effect eventually causes a contraction of the tradable sector. A vector autoregression analysis provides results that are consistent with the dynamics of the model.

Labor supply, school attendance, and remittances from international migration : the case of El Salvador

Abstract: The objective of this paper is to present microeconomic evidence on the economic effects of international remittances on households' spending decisions. Remittances can increase the household budget and reduce liquidity constraint problems, allowing more consumption and investment. In particular, remittances can afford investing in children's human capital, a key outcome for the discussion of the perspective of growth in a high recipient developing country. Robust estimates that take into account both selection and endogeneity problems in estimating an average impact of remittances are substantially different from least squares (OLS) estimates presented in previous studies, indicating the importance of dealing with these methodological concerns. After controlling for household wealth and using selection correction techniques such as propensity score matching as well as village and household networks as instruments for remittances receipts, average estimates suggest that girls and young boys (less than 14 years old) from recipient households seem to be more likely to be enrolled at school than those from nonrecipient households. Remittances are also negatively related to child labor and adult female labor supply, while adult male labor force participation remains unaffected on average. The results signaling that the additional income derived from migration increases girls' education and reduces women's labor supply, with no major impact on activity choice for males 14 years or older, suggest the presence of gender differences in the use of remittances across (and possibly, within) households.

Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach

Abstract: Using a Bayesian likelihood approach, we estimate a dynamic stochastic general equilibrium model for the US economy using seven macro-economic time series. The model incorporates many types of real and nominal frictions and seven types of structural shocks. We show that this model is able to compete with Bayesian Vector Autoregression models in out-of-sample prediction. We investigate the relative empirical importance of the various frictions. Finally, using the estimated model we address a number of key issues in business cycle analysis: What are the sources of business cycle fluctuations? Can the model explain the cross-correlation between output and inflation? What are the effects of productivity on hours worked? What are the sources of the "Great Moderation"?

Shocks and frictions in US business cycles: A Bayesian DSGE approach

Abstract: We estimate a dynamic stochastic general equilibrium (DSGE) model for the US economy. The model incorporates many types of real and nominal frictions: sticky nominal price and wage setting, habit formation in consumption, investment adjustment costs, variable capital utilisation and fixed costs in production. It also contains many types of shocks including productivity, labour supply, investment, preference, cost-push and monetary policy shocks. Using Bayesian estimation techniques, the relative importance of the various frictions and shocks in explaining the US business cycle are empirically investigated. We also show that this model is able to outperform standard VAR and BVAR models in out-of-sample prediction.

Counting and Multidimensional Poverty Measurement

Abstract: This paper proposes a new methodology for multidimensional poverty measurement consisting of an identification method ρk that extends the traditional intersection and union approaches, and a class of poverty measures Mα. Our identification step employs two forms of cutoff: one within each dimension to determine whether a person is deprived in that dimension, and a second across dimensions that identifies the poor by ‘counting’ the dimensions in which a person is deprived. The aggregation step employs the FGT measures, appropriately adjusted to account for multidimensionality. The axioms are presented as joint restrictions on identification and the measures, and the methodology satisfies a range of desirable properties including decomposability. The identification method is particularly well suited for use with ordinal data, as is the first of our measures, the adjusted headcount ratio. We present some dominance results and an interpretation of the adjusted headcount ratio as a measure of unfreedom. Examples from the US and Indonesia illustrate our methodology.

United Nations High Commission for Refugees

Abstract: 4. UNHCR notes with concern that although the country acceded to the 1951 Convention and the 1967 Protocol in 1999, incorporation of the 1951 Convention obligations into national legislation and normative acts has been slow and to date Kazakhstan has failed to comply with its obligation to give full effect to the Covenant in the domestic legal order, inter alia providing for effective judicial and other remedies for violations of these rights