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.     

Regional convergence of growth,inequality and poverty in India—An empirical study

The paper attempts to examine whether there is regional convergence of per capita consumption, inequality and poverty across various states in India. Using panel unit root tests that are robust to cross-sectional dependence, we find that inequality and poverty indicators converge at both rural and urban levels. Further, per capita consumption converges at urban level but not at rural level. Based on factor analysis, we find two groups of states for rural sectors, viz., low-growth and high-growth states, for each of which per capita consumption converges. We also attempt at identifying the responsible entities — central or state governments or both in cases where convergence is not achieved.     

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.     

Immigration,ethnic diversity and voting: The role of individual income

We exploit a unique panel dataset merging data on individual socio-economic characteristics and individual turnout in an Italian municipality to investigate the relationship between ethnic diversity in residential neighborhoods and propensity to vote. Using these data, we document for the first time a differential effect of diversity on electoral turnout depending on household equivalent income. Specifically, we show that ethnic diversity in the neighborhood reduces the political participation of the poor, while it fosters that of the more affluent. These results highlight a potential democratic deficit stemming from reduced and unequal electoral turnout in increasingly heterogeneous neighborhoods.     

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 the growth effects of structural change

Against the backdrop of Baumol's model of ‘unbalanced growth’, a recent strand of literature has presented models that manage to reconcile structural change with Kaldor's ‘stylized fact’ of the relative constancy of per-capita real GDP growth. Another strand of literature goes beyond this, arguing that the expenditure shifts toward Baumol's ‘stagnant’ sector stimulate rather than dampen long-term economic growth because of the human capital-accumulating nature of major ‘stagnant’ services (like health care and education). This paper tests the relationship between structural change and economic growth empirically by means of a Granger-causality analysis of a panel of 18 OECD countries.     

The effects of location and sectoral components of economic growth on poverty: Evidence from Indonesia

In this paper, we investigate the relationship between economic growth and poverty reduction by differentiating growth and poverty into their sectoral composition and urban–rural location using data from Indonesia. We find that rural services growth reduces poverty in all sectors and locations. However, urban services growth has the largest effect on poverty in most sectors. Finally, we also find that rural agriculture growth strongly reduces poverty in rural areas, the largest contributor to poverty in Indonesia. This implies that while agriculture growth in rural areas still plays a major role in reducing poverty, policies that enable strong growth in the services sector in both urban and rural areas would expedite poverty reduction.     

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.     

The impact of work and non‐work migration on household welfare,poverty and inequality

This article estimates the impact of work migration and non‐work migration on per capita income, per capita expenditures, poverty and inequality in Vietnam using data from the two most recent Vietnam Household and Living Standard Surveys. We find that both work migration and non‐work migration have a positive impact on per capita expenditures of migrant‐sending households. Non‐work migration significantly decreases the incidence, depth and severity of national poverty. The effect of work migration on poverty is much smaller. Still, while work migration does not lift people out of poverty, it makes their poverty less severe. In addition, both work migration and non‐work migration decrease inequality, albeit only very slightly.     

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.     

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.     

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.     

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.     

Modeling growth options and structural change to reach middle income country status: The case of Ghana

This paper develops a recursive dynamic computable general equilibrium (DCGE) model to evaluate sources of accelerated growth and structural transformation. It goes beyond stylized and aggregate general equilibrium models by examining country-specific growth options to reach middle income country (MIC) status. We first examine a set of countries that have successfully transformed their economies to inform model and scenario building. We then simulate potentials and trade-offs of selected sector- and factor-specific growth paths for Ghana. Results show that no individual sector's growth acceleration is sufficient for Ghana to reach MIC status by 2015. Manufacturing growth is constrained by its high dependency on agricultural inputs indicating the need for diversification. Services can support rather than drive economy-wide growth. Agriculture must remain the mainstay of economy-wide growth. While this will delay structural change in sectoral composition, it demonstrates that emphasizing agriculture is a viable option for some countries to reach MIC status.     

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.