Returns to education in Portugal

This paper compares OLS and IV estimates of the returns to education for male workers in Portugal. The results suggest that OLS estimates of the return to education are broadly in line with results for other western economies, although they are marginally at the upper end of the scale. IV estimates of the return to education are as high or lower than those obtained with OLS. Apparently, OLS estimates provide an upper-bound of the return to education. However, due to the nature of the identifying strategy, a generalisation of the results to the entire population may be premature.     

Average and Marginal Returns to Upper Secondary Schooling in Indonesia

This paper estimates average and marginal returns to schooling in Indonesia using a semiparametric selection model. Identification of the model is given by geographic variation in access to upper secondary schools. We find that the return to upper secondary schooling varies widely across individuals: it can be as high as 50% per year of schooling for those very likely to enroll in upper secondary schooling, or as low as ?10% for those very unlikely to do so. Average returns for the student at the margin are substantial, but they are also well below those for the average student attending upper secondary schooling. Copyright © 2016 John Wiley & Sons, Ltd.     

Estimating panel data models in the presence of endogeneity and selection

We consider estimation of panel data models with sample selection when the equation of interest contains endogenous explanatory variables as well as unobserved heterogeneity. Assuming that appropriate instruments are available, we propose several tests for selection bias and two estimation procedures that correct for selection in the presence of endogenous regressors. The tests are based on the fixed effects two-stage least squares estimator, thereby permitting arbitrary correlation between unobserved heterogeneity and explanatory variables. The first correction procedure is parametric and is valid under the assumption that the errors in the selection equation are normally distributed. The second procedure estimates the model parameters semiparametrically using series estimators. In the proposed testing and correction procedures, the error terms may be heterogeneously distributed and serially dependent in both selection and primary equations. Because these methods allow for a rather flexible structure of the error variance and do not impose any nonstandard assumptions on the conditional distributions of explanatory variables, they provide a useful alternative to the existing approaches presented in the literature.     

Return to education in Finland

This study presents estimates of the return to education in Finland using an individual-level data set that also includes ability measures and information on family background. It is found that ability test scores have a strong effect on the choice of education and on subsequent earnings. Estimating the return to education with no information on ability leads to an upward bias in the estimates. However, this bias is more than offset by a downward bias caused by endogeneity or measurement error. Instrumental variables estimates that utilize family background variables as instruments produce estimates of the return to schooling that are approximately 60% higher than the least squares estimates.     

Day Zero and The Infrastructures of Climate Change: Water Governance,Inequality, and Infrastructural Politics in Cape Town's Water Crisis

From 2015 to 2018, Cape Town, South Africa, was marked by fears of a water crisis in which the city's taps threatened to run dry. We argue in this article that Cape Town's crisis of water scarcity was a product of the convergence of ongoing contradictions in South African water governance as they came into contact with shifting infrastructural priorities associated with climate change. In its response to the possibility of a financial crisis brought on by reduced water consumption, the city withdrew the universal provision of free basic water (FBW) and reconfigured existing tariff structures. Both changes meant that the city moved further into commercialization and valuation practices in the context of restricted monetary flows. Based on an understanding of contemporary governance in South Africa as reflective of an often contradictory need to balance municipal budgets while also correcting for apartheid inequities, we argue that ongoing experiences of climate change are stretching existing municipal budgets in ways that threaten to deepen existing inequalities. Ultimately, we suggest that Cape Town's crisis is critical for understanding how climate change is reconfiguring existing governance dynamics at a planetary scale, thus offering insights into what form urban climate change adaptation may take in the future.     

THE COLLAPSE OF PRIMARY SCHOOLING RETURNS IN SOUTH AFRICA 1960–90

By 1975, the effect of a year's primary schooling upon the wages of Africans in South Africa had fallen to about 2.5 percent — one of the lowest primary schooling returns in the world. Secondary schooling returns were high throughout the period 1960–90. The collapse of primary schooling returns was due to declining school quality, an increase in the supply of primary school graduates, an increase in mining wages in the mid-seventies, and wage regulation by the Industrial Councils and Wage Boards. The low level of the return, compared with the returns to other races in South Africa, is due to the low quality of African primary schools. Implications for education spending patterns and wage regulation are pointed out.     

EDUCATION AND ENTREPRENEURSHIP SELECTION AND PERFORMANCE: A REVIEW OF THE EMPIRICAL LITERATURE

Abstract This paper provides a review of empirical studies into the impact of formal schooling on entrepreneurship selection and performance in industrial countries. We describe the main effects found in the literature, we explain the variance in results across almost a hundred studies, and we put the empirical results in the context of related economic theory and the much further developed literature in labor economics (studying the rate of return to education among wage employees). Five main conclusions result from this meta‐analysis. First, the impact of education on selection into entrepreneurship is insignificant. Second, the effect of education on performance is positive and significant. Third, the return to a marginal year of schooling is 6.1% for an entrepreneur. Fourth, the effect of education on earnings is smaller for entrepreneurs than for employees in Europe, but larger in the USA. Fifth, the returns to schooling in entrepreneurship are higher in the USA than in Europe, higher for females than for males, and lower for non‐whites or immigrants. In conclusion, we offer a number of suggestions to move the research frontier in this area of inquiry. The entrepreneurship literature on education can benefit from the technical sophistication used to estimate the returns to schooling for employees.     

Instrumental variable estimation in the presence of many moment conditions

This paper develops shrinkage methods for addressing the “many instruments” problem in the context of instrumental variable estimation. It has been observed that instrumental variable estimators may behave poorly if the number of instruments is large. This problem can be addressed by shrinking the influence of a subset of instrumental variables. The procedure can be understood as a two-step process of shrinking some of the OLS coefficient estimates from the regression of the endogenous variables on the instruments, then using the predicted values of the endogenous variables (based on the shrunk coefficient estimates) as the instruments. The shrinkage parameter is chosen to minimize the asymptotic mean square error. The optimal shrinkage parameter has a closed form, which makes it easy to implement. A Monte Carlo study shows that the shrinkage method works well and performs better in many situations than do existing instrument selection procedures.     

Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling

We consider the problem of causal effect heterogeneity from a Bayesian point of view. This is accomplished by introducing a three-equation system, similar in spirit to the work of Heckman and Vytlacil (1998), describing the joint determination of a scalar outcome, an endogenous “treatment” variable, and an individual-specific causal return to that treatment. We describe a Bayesian posterior simulator for fitting this model which recovers far more than the average causal effect in the population, the object which has been the focus of most previous work. Parameter identification and generalized methods for flexibly modeling the outcome and return heterogeneity distributions are also discussed.Combining data sets from High School and Beyond (HSB) and the 1980 Census, we illustrate our methods in practice and investigate heterogeneity in returns to education. Our analysis decomposes the impact of key HSB covariates on log wages into three parts: a “direct” effect and two separate indirect effects through educational attainment and returns to education. Our results strongly suggest that the quantity of schooling attained is determined, at least in part, by the individual’s own return to education. Specifically, a one percentage point increase in the return to schooling parameter is associated with the receipt of (approximately) 0.14 more years of schooling. Furthermore, when we control for variation in returns to education across individuals, we find no difference in predicted schooling levels for men and women. However, women are predicted to attain approximately 1/4 of a year more schooling than men on average as a result of higher rates of return to investments in education.     

The Returns to Education: Microeconomics

In this paper we focus on education as a private decision to invest in "human capital" and the estimation of the rate of return to that private investment. While the literature is replete with studies that estimate the rate of return using regression methods where the estimated return is obtained as the coefficient on a years of education variable in a log wage equation that contains controls for work experience and other individual characteristics, the issue is surrounded with difficulties. We outline the theoretical arguments underpinning the empirical developments and show that the evidence on private returns to the individual is compelling. Despite some of these issues surrounding the estimation of the return to schooling, our evidence, based on estimates from a variety of datasets and specifications, is that there is an unambiguously positive effect on the earnings of an individual from participation in education. Moreover, the size of the effect seems large relative to the returns on other investments.     

The effects of families and ability on men's education and earnings in Britain

The paper estimates the returns to education for a cohort of men born in Britain in March 1958 who have been followed since birth until the age of 33. The data used has a wealth of information on family background including parental education, social class and interest shown in the child's education as well as measures of ability. These variables are typically missing in studies looking at the returns to schooling. In the paper, we find that the average return to an additional year of full-time education for the UK men is somewhere around 5 1/2% to 6% even after correcting for the effects of measurement error. The paper also presents evidence that the returns to an additional year of schooling in the UK are heterogeneous. In particular, the paper finds some evidence that men with lower tastes for education, have significantly higher marginal returns to education. The results of the paper suggest that recent IV estimates of the returns to schooling in the UK, which exceed typical OLS estimates, may overestimate the average marginal return for the population of men as a whole.     

Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging

This paper takes a fresh look at Africa's growth experience by using the Bayesian model averaging (BMA) methodology. BMA enables us to consider a large number of potential explanatory variables and sort out which of these variable can effectively explain Africa's growth experience. Posterior coefficient estimates reveal that key engines of growth in Africa are substantially different from those in the rest of the world. More precisely, it is shown that mining, primary exports and initial primary education exerted differential effect on African growth. These results are examined in relation to the existing literature. Copyright © 2008 John Wiley & Sons, Ltd.     

The Creative Night-Time Leisure Economy of Informal Drinking Venues

In response to debates on emergent and rogue forms of urbanism that are reshaping the African city, this article examines the night-time leisure economy as one particular social context in which the tensions and opposition between regulation/deregulation and informality play out. This article shows how ideas that centre on Northern entertainment spaces and drinking venues (bound with policy initiatives to reposition the city) have come to inform policy initiatives to regulate working-class public spaces in South African cities with the objective of controlling unruliness. Through a case study of informal and illegal drinking venues in Sweet Home Farm, a slum settlement in Cape Town, we provide an insight into the ways in which people seek to reclaim social space and impose their own vision of the creative city. The article demonstrates that while illegal drinking venues can be imagined as ‘unruly, unpredictable, surprising [and] confounding’, they are characterized by a responsive agility to the social, cultural and physical environment. We argue that the capacity and tenacity of informal drinking venues to adapt to regulatory pressures present a range of possibilities for reimaging the night-time leisure economy in ways that are inclusive of the poor and conducive to negotiation.     

Estimates of the return to schooling and ability: evidence from sibling data

We use sibling data on wages, schooling, and aptitude test scores from the 1979 National Longitudinal Survey of Youth (NLSY79) to obtain OLS, family fixed effects, and fixed effects instrumental variable estimates of the return to schooling for a large sample of non-twin siblings. Following recent studies that use identical twin samples, we use sibling-reported schooling as an instrument for self-reported schooling. Controlling for aptitude test scores has a substantial impact on estimated returns to schooling even within families, and there is a large return to test scores that is comparable in size within and between families. We also find that the return to schooling is higher for older brothers than for younger brothers and for women than men. Finally, because the NLSY79 contains multiple sibling reports of education for the same individual, we are able to test and reject the overidentifying restrictions for the validity of sibling-reported schooling as an instrumental variable.     

Capital depreciation and the underdetermination of rate of return: A unifying perspective

This paper shows that the notion of rate of return is best understood through the lens of the average-internal-rate-of-return (AIRR) model, first introduced in Magni (2010a). It is an NPV-consistent approach based on a coherent definition of rate of return and on the notion of Chisini mean, it is capable of solving the conundrums originated by the rate-of-return notion and represents a unifying theoretical paradigm under which every existing measure of wealth creation can be subsumed. We show that a rate of return is underdetermined by the project’s cash-flow stream; in particular, a unique return function (not a unique rate of return) exists for every project which maps depreciation classes into rates of return. The various shapes a rate of return can take on (internal rate of return, average accounting rate of return, modified internal rate of return, etc.) derive from the (implicit or explicit) selection of different depreciation patterns. To single out the appropriate rate of return for a project, auxiliary assumptions are needed regarding the project’s capital depreciation. This involves value judgment. On one side, this finding opens terrain for a capital valuation theory yet to be developed; on the other side, it triggers the creation of a toolkit of domain-specific and purpose-specific metrics that can be used, jointly or in isolation, for analyzing the economic profitability of a given project. We also show that the AIRR perspective has a high explanatory power that enables connecting seemingly unrelated notions and linking various disciplines such as economics, finance, and accounting. Some guidelines for practitioners are also provided.     

Industry work experience and inventive capacity of South African academic researchers

The inventive capacity of South African universities and researchers is investigated through analysis of university patent applications. Patent applications to the South African Patent office from 1996 to 2006 are used as an indicator of inventive capacity. The investigation determines, for the first time, patenting activities of local universities at the South African Patent Office for the past 10 years and it identifies the performance of faculties and departments. We suggest that patent analysis of local patent offices in developing countries provides a more comprehensive picture of inventive activity than the analyses in the main patent offices in USA and Europe.The assertion that industrial experience affects the inventiveness of academic staff is also investigated. The study finds that most inventors or co-inventors held at least one position in industry, or in some cases, specialized parastatals (non-university institutions) prior to patent application. The study supports the idea that experience and the professional trajectory of scientists through migration from industry to university leads to an increase of researchers’ scientific and technical human capital which is convertible into high performance or inventive capacity. We argue that this linkage is valid equally in developed and developing countries (like South Africa) and that universities internationally wishing to improve their entrepreneurial character should aim to employ academic with industrial prior experience.     

Does the World Bank have any impact on human development of the poorest countries? Some preliminary evidence from Africa

In an attempt to better understand the impact of the World Bank on human development in poor countries, we use cross-country data on African countries for the 1990–2002 period to examine this relationship. The coefficient estimates of our parsimonious fixed-effects models indicate that while loans and grants of the Bank have had a positive impact on some relatively short-term indicators of health and education in an average African country, there is little evidence to suggest that such loans and grants have helped these countries to consolidate on the short-term gains.     

Fertility and the human capital loss of non-participation

Female earnings function parameters are estimated jointly with interruption incidence and fertility decisions. We pay particular attention to the return to experience and the human capital loss parameter when women are allowed to self-select into various possible combinations of interruption and fertility outcomes. We find that ignoring endogenous fertility decisions may seriously bias the effect of non-employment spell lengths on female earnings, as well as the return to experience. To a large extent, the negative relationship between female earnings and non-employment spell length, that is widely documented in the earlier literature, is the result of a misspecification of the earnings functions.     

Glorified Fantasies and Masterpieces of Deception on Importing Las Vegas into the ‘New South Africa’

With the end of apartheid, Johannesburg and other South African cities are now part of a new global race to become ‘world‐class’ tourist and business centers. At the center of this development is the importation of Vegas‐style spectacle by local entrepreneurs, firms and other city boosters who create fantasyscapes such as the Emperor's Palace and GrandWest. Financed and run by South African impresarios — whose luxurious empires transcend the continent — these resorts represent not only the globalization of gaming but the way in which South African cities see themselves within the worldwide urban hierarchy. As such, this article seeks to untangle the global and local aspects of importing fantasy into the ‘new South Africa’.     

Investigating the impact of endogeneity on inefficiency estimates in the application of stochastic frontier analysis to nursing homes

This paper examines the impact of an endogenous cost function variable on the inefficiency estimates generated by stochastic frontier analysis (SFA). The specific variable of interest in this application is endogenous quality in nursing homes. We simulate a dataset based on the characteristics of for-profit nursing homes in California, which we use to assess the impact on SFA-generated inefficiency estimates of an endogenous regressor under a variety of scenarios, including variations in the strength and direction of the endogeneity and whether the correlation is with the random noise or the inefficiency residual component of the error term. We compare each of these cases when quality is included and excluded from the cost equation. We provide evidence of the impact of endogeneity on inefficiency estimates yielded by SFA under these various scenarios and when the endogenous regressor is included and excluded from the model.