AIDS and economic growth: A human capital approach

Using a model that combines growth and health capital equations this study analyses the impact of HIV/AIDS on economic growth. The econometric results indicate that the epidemic's effects have been substantial; in Africa the marginal impact on income per capita of a 1% increase in HIV prevalence rate is minus 0.59%. Even in countries with lower HIV prevalence rates the marginal impacts are non-trivial. Hence while the human and social costs of the HIV/AIDS epidemic are major causes for concern, these results indicate that the macroeconomic affects of the HIV/AIDS epidemic are important.     

Structural shifts in the dynamics of the European income distribution

This paper aims to evaluate structural shifts in the regional per capita income distribution in Europe between the periods 1980–1993 and 1993–2005. After a brief analysis of several aspects of the distribution (inequality, external shape, polarisation and spatial dependence), we focus on intra-distribution dynamics by applying a novel causative matrix model that reveals strong structural shifts. In particular, increase in relative persistence during the second period has been the major change, especially for regions around the average and those at the upper end of the income distribution.     

Poverty,undernutrition and vulnerability in rural India: role of rural public works and food for work programmes

This paper analyses the effects of access to Rural Public Works (RPW) or Food for Work programme (FFW) on consumption poverty, vulnerability and undernutrition in India using the large household data sets constructed by the National Sample Survey for 1993 and 2004. The treatment-effects model is used to take account of sample selection bias in evaluating the effects of RPW in 1993 or FFW in 2004 on poverty. We have found significant and negative effects of participation in RPW and the Food for Work Programme on poverty, undernutrition (e.g. protein) and vulnerability in 1993 and 2004.     

Accounting for the effect of health on cross-state income inequality in India

We perform development accounting in accordance with [Weil, 2005] and [Weil, 2007] in a cross-state analysis of India. Results of similar magnitude are found, demonstrating that health can account for 1% to 18% of income differences depending on the health measure.     

The composition of growth matters for poverty alleviation

This paper contributes to explain the cross-country heterogeneity of the poverty response to changes in economic growth. It does so by focusing on the structure of output growth itself. The paper presents a two-sector theoretical model that clarifies the mechanism through which the sectoral composition of growth and associated labor intensity can affect workers' wages and, thus, poverty alleviation. Then, it presents cross-country empirical evidence that analyzes, first, the differential poverty-reducing impact of sectoral growth at various levels of disaggregation, and, second, the role of unskilled labor intensity in such differential impact. The paper finds evidence that not only the size of economic growth but also its composition matters for poverty alleviation, with the largest contributions from unskilled labor-intensive sectors (agriculture, construction, and manufacturing). The results are robust to the influence of outliers, endogeneity concerns, alternative explanations, and various poverty measures.     

Testing stochastic income convergence in seasonal heterogeneous panels

In this paper we introduce a seasonal version of the Solow–Swan growth model and acquire an empirical income convergence equation. We take this equation as a basis to investigate whether income convergence exists in an OECD sample. To do this, we propose the test statistics under various asymptotic properties for some of the seasonal frequencies in the context of nonstationary heterogeneous panels. Critical values and moments of our statistics are generated and their finite sample performances are examined via Monte Carlo simulations.     

On the role of job assignment in a comparison of education systems

Abstract This paper re‐examines how differences in systems for financing education influence GDP by highlighting a neglected function of education policy: it affects the magnitude of gains from job assignment. When more productive jobs demand more skill, privately financed education can increase productivity gains from matching between jobs and skill by increasing the availability of highly educated people. This differs from the standard argument that publicly financed education increases the total amount of human capital by equalizing educational opportunities. It is shown that if job opportunities have large variations in productivity, education policy may face a serious efficiency–equity trade‐off.     

Directly unproductive schooling: How country characteristics affect the impact of schooling on growth

The rapid rise in schooling in developing countries in recent decades has been dramatic. However, many cross-country regression analyses of the impact of schooling on economic growth find low and insignificant coefficients. This empirical ‘puzzle’ contrasts with theoretical arguments that schooling, through raising human capital, should raise income levels. This paper argues that poor results are to be expected when regression samples include countries that vary greatly in their ability to use schooling productively. Data on corruption, the black market premium on foreign exchange and the extent of the brain drain for developing countries are used as indicators of an economy's productive use of schooling. Regression analysis shows that the impact of schooling on economic growth is substantially higher in countries that are adjudged to use schooling productively.     

Health care expenditure and economic growth: Quantile panel-type analysis

This study uses international total health care expenditure data of 31 countries from 1986 to 2007 for exploring the causality between an increase in health care expenditure and economic growth. The empirical procedure is divided into two parts. The first is the panel regression analysis and the second is the quantile regression analysis. The estimation of the panel regression reveals that, expenditure growth will stimulate economic growth; however, economic growth will reduce expenditure growth. With regard to the estimation of quantile regression, when economic growth is quantile, in countries with low level of growth, the influence of expenditure growth on economic growth is different. In countries with medium and high levels of economic growth, the influence of expenditure growth on economic growth is positive; when health care expenditure growth is quantile, the influence of economic growth on expenditure growth is more different.     

Fungibility and the impact of development assistance: Evidence from Vietnam's health sector

The apparent fungibility of aid is a challenge to the evaluation of donor-funded development projects, requiring a comparison of the observed outcomes with the outcomes that would have occurred if the project had not gone ahead. Where projects are targeted on specific geographic areas, counterfactual outcomes in each can differ from observed outcomes because the amount of government spending (gross of aid) differs, the productivity of government spending differs, or both. This paper estimates the benefits of two concurrent World Bank health projects in Vietnam targeted on specific provinces. Estimates are derived from a model linking outcomes (under-five mortality) to government spending before and after the project and in project and nonproject provinces, and are presented for different assumptions regarding fungibility of funds (zero and full fungibility) and the impacts of the project on the productivity of government spending (the project modifies productivity in both sectors equally and in neither sector). The estimated mortality reductions are highly insensitive to the assumed degree of fungibility, but highly sensitive to the assumed productivity effects (the estimates range from 1 to 25%). The wide range reflects the uncertainty due to the lack of a genuine control group of provinces.     

Errors in self-reported earnings: The role of previous earnings volatility and individual characteristics

I report the measurement error in self-reported earnings for a developing country using a novel data set. The data set consists of two cross-sections of the Federated States of Micronesia (FSM) wage and salary sectors; additionally, a subset of the two cross-sections may be linked to create a panel. Administrative data from FSM Social Security office are matched to the FSM Census data for the wage and salary sectors. I find that the error in annual self-reported earnings is centered on zero. Additionally, I find strong evidence for mean reversion in the data suggesting non-classical measurement error. I identify the impact of prior years' earnings variability on the current reporting of earnings using administrative data on earnings histories. Prior earnings volatility strongly affects measurement error in current period. However, the effect of prior shocks diminish significantly over time—suggesting that first-differencing and fixed-effects techniques will not improve accuracy.     

Reshaping the schooling system: The role of immigration

This paper studies how the schooling system may be impacted by the number and skill type of immigrants. When the number of low-skilled immigrants is large, the education regime tends to become segregated. Wealthy locals are more likely to choose private schools and vote for a lower tax rate to finance public education. In contrast, high-skilled immigrants tend to reinforce the public system. The optimal immigration policy is highly skill-biased. The admission of high-skilled immigrants expedites redistribution toward the less-skilled local households through both a stronger fiscal support for public education and a reduction in the skill wage premium.     

Revisiting the effects of regional trade agreements on trade flows with proper specification of the gravity model

This paper uses a gravity model to assess ex-post regional trade agreements. The model includes 130 countries and is estimated with panel data over the period 1962-1996. The introduction of the correct number of dummy variables allows for identification of Vinerian trade creation and trade diversion effects, while the estimation method takes into account the unobservable characteristics of each pairs of trade partner countries, the endogeneity of some of the explanatory variables as well as a potential selection bias. In contrast to previous estimates, results show that regional agreements have generated a significant increase in trade between members, often at the expense of the rest of the world.     

Human capital, economic growth, and regional inequality in China

We show how regional growth patterns in China depend on regional differences in physical, human, and infrastructure capital as well as on differences in foreign direct investment (FDI) flows. We also evaluate the impact of market reforms, especially the reforms that followed Deng Xiaoping's “South Trip” in 1992 those that resulted from serious hardening of budget constraints of state enterprises around 1997. We find that FDI had a much larger effect on TFP growth before 1994 than after, and we attribute this to the encouragement of and increasing success of private and quasi-private enterprises. We find that human capital positively affects output and productivity growth in our cross-provincial study. Moreover, we find both direct and indirect effects of human capital on TFP growth. These impacts of education are more consistent than those found in cross-national studies. The direct effect is hypothesized to come from domestic innovation activities, while the indirect impact is a spillover effect of human capital on TFP growth. We conduct cost-benefit analysis of hypothetical investments in human capital and infrastructure. We find that, while investment in infrastructure generates higher returns in the developed, eastern regions than in the interior, investing in human capital generates slightly higher or comparable returns in the interior regions. We conclude that human capital investment in less-developed areas is justified on efficiency grounds and because it contributes to a reduction in regional inequality.     

Heterogeneous ideas production and endogenous growth: an empirical investigation

Abstract .  We examine the dynamics of ideas production and knowledge-productivity relationship in a panel of 19 OECD countries. A new data set of triadic patents is used. We rigorously address the issues of cross-country heterogeneity and endogeneity. Domestic and foreign ideas stocks exert positive but heterogeneous effects on ideas production. We find evidence of duplicate R&D but little support for endogenous growth. Countries with low domestic ideas bases could considerably improve productivity through ideas accumulation; however, this effect is modest for countries with sizeable ideas bases. An implication is that country-specific R&D policy appears potentially more effective than the one-size-fits-all approach.     

Seasonality of income and poverty in Bangladesh

Seasonal food deprivation in Bangladesh, locally known as Monga, sometimes rises to the level of famine during the pre-harvest period of aman rice. An analysis of household income and expenditure survey data shows that income and consumption are lower during Monga than in other seasons, and that seasonal income greatly influences seasonal consumption. Econometric estimates reject the hypothesis of perfect consumption smoothing. In the northwestern region of greater Rangpur, rural households suffer disproportionately from Monga. Seasonal differences in poverty across regions are due mainly to differences in household-specific seasonality of income and consumption. Income diversification explains the lower incidence of income seasonality observed in non-Rangpur regions. To contain seasonal hunger in greater Rangpur, public policies should promote rural income diversification together with seasonal migration. A flexible microfinance scheme that provides both production and consumption loans on flexible repayment terms could help diversify income and reduce seasonality of income and poverty.     

The (evolving) role of agriculture in poverty reduction—An empirical perspective

The role of agriculture in development remains much debated. This paper takes an empirical perspective and focuses on poverty, as opposed to growth alone. The contribution of a sector to poverty reduction is shown to depend on its own growth performance, its indirect impact on growth in other sectors, the extent to which poor people participate in the sector, and the size of the sector in the overall economy. Bringing together these different effects using cross-country econometric evidence indicates that agriculture is significantly more effective in reducing poverty among the poorest of the poor (as reflected in the $1-day squared poverty gap). It is also up to 3.2 times better at reducing $1-day headcount poverty in low-income and resource rich countries (including those in Sub-Saharan Africa), at least when societies are not fundamentally unequal. However, when it comes to the better off poor (reflected in the $2-day measure), non-agriculture has the edge. These results are driven by the much larger participation of poorer households in growth from agriculture and the lower poverty reducing effect of non-agriculture in the presence of extractive industries.     

Aid effectiveness: the role of the local elite

We study the importance of the local elite as a determinant of the effectiveness of foreign aid in developing countries. The local elite serves as an intermediary between aid donors and aid recipients through its control of the government and major firms. The likelihood of misusing aid is large if the elite is characterized by extensive economic and political power and little concern for social groups besides itself. To determine which countries have this type of elite we use a historically determined variable: the percentage of European settlers in total population in colonial times. We provide strong empirical evidence that the level of European settlement in colonial times is negatively related to the effectiveness of foreign aid as measured in a growth-regression framework. Our results are robust to the inclusion of a wide set of alternative explanatory factors advanced in the aid effectiveness literature.     

Chronic and transient poverty: Measurement and estimation, with evidence from China

The paper contributes to the measurement of poverty and vulnerability in three ways. First, it proposes a new approach to separating poverty into chronic and transient components. Second, it provides corrections for the statistical biases introduced when using a small number of periods to estimate the importance of vulnerability and transient poverty. Third, it applies these tools to the measurement of chronic and transient poverty in China using a rich panel data set that extends over 17 years. Alternative measurement techniques are found to yield significantly different estimates of the relative importance of chronic and transient poverty. The precision of the estimates is also considerably enhanced by simple statistical corrections.