DOES EDUCATION REALLY IMPROVE HEALTH? A META‐ANALYSIS

While numerous studies assess the relationship between education and health, no consensus has been reached on whether education really improves health. We perform a meta‐analysis of 4866 estimates gleaned from 99 published studies that examine the health effects of education. We find that the current literature suffers from moderate publication bias towards the positive effects of education on health. After correcting for publication bias with an array of sophisticated methods, we find that the overall effect size is practically zero, indicating that education generates no discernible benefits to health. The heterogeneity analysis by Bayesian Model Averaging (BMA) and Frequentist Model Averaging (FMA) reveals that the reported estimates can be largely explained by whether the econometric models control for endogeneity of education, the types of data and the differences in health measurements. Our results also suggest that education may not be an effective policy option for promoting population health.     

Empirical Studies of Self‐Employment

This paper presents a review of empirical studies of self‐employment for the Australian, Canadian, Dutch, UK and US labour markets. Both cross‐sectional and longitudinal studies are analysed. Analyses using cross‐sectional data examine the propensity to be self‐employed at any one point in time, whereas longitudinal studies focus on the transition into self‐employment from wage/salary employment and the survival rate in this state over time. Various hypotheses advanced in the economics and sociology literatures on self‐employment are tested. These include the relationship between managerial ability and the propensity to be self‐employed and the impact of financial constraints on entry into self‐employment stressed in economic models of entrepreneurship, and the relationships between self‐employment choice and the nature of the work and group characteristics (e.g., ethnic enclaves) stressed in sociological models of entrepreneurship. The evidence shows that self‐employment outcomes are significantly affected by factors such as individual abilities, family background, occupational status, liquidity constraints and ethnic enclaves.     

The Returns to Education: Macroeconomics

We offer an extensive summary and a critical discussion of the empirical literature on the impact of human capital on macro‐economic performance, with a particular focus on UK policy. We also highlight methodological issues and make recommendations for future research priorities.
Taking the studies as a whole, the evidence that human capital increases productivity is compelling, though still largely divided on whether the stock of education affects the long‐run level or growth rate of GDP. A one‐year increase in average education is found to raise the level of output per capita by between three and six percent according to augmented neo‐classical specifications, while leading to an over one percentage point faster growth according to estimates from the new‐growth theories. Still, over the short‐run planning horizon (four years) the empirical estimates of the change in GDP are of similar orders of magnitude in the two approaches. The impact of increases at different levels of education appear to depend on the level of a country's development, with tertiary education being the most important for growth in OECD countries. Education is found to yield additional indirect benefits to growth. More preliminary evidence seems to indicate that type, quality and efficiency of education matter for growth too.     

FIRM SIZE AND STOCK RETURNS: A QUANTITATIVE SURVEY

Firm size is commonly used in numerous empirical asset pricing models as a determinant of expected stock returns. Yet there is little consensus over the magnitude and stability of the size premium. In fact, some researchers even question whether firm size should be used as a pricing factor. We collect 1746 estimates of the slope coefficients capturing the association between firm size and stock returns reported in 102 published studies and conduct the first meta‐analysis on the size premium. We find evidence of a strong bias toward publishing statistically significant negative slope coefficients. After correcting for the bias, we find that the literature implies a difference in annual stock returns on the smallest and the largest New York Stock Exchange (NYSE) market capitalization quintiles of 1.72%. For the time periods covered in the sampled articles, we find that the size premium was larger in earlier years and that the intensity of publication bias has been decreasing over time.     

FDI forward spillover effects in emerging markets: A comparative meta-analysis of China and Eastern Europe

Using two unique datasets of 530 forward estimates from 19 studies on China and 942 forward estimates from 28 studies on Eastern European transition economies, this study quantitatively analyzes foreign direct investment forward spillover effects, accounting for various biases and firm attributes in existing empirical results using a meta-regression analysis. We find that aggregation bias, misspecification bias, endogeneity bias (including simultaneity bias and omitted-variable bias), and publication bias, as well as firm attributes, contribute to the heterogeneity in forward spillover estimates; and that the preferred forward spillover effects are positive but nonsignificant. Interestingly, the preferred forward spillover effect is likely to be much larger in Eastern European transition economies than in China.     

THE FINANCIAL DEVELOPMENT AND GROWTH NEXUS: A META‐ANALYSIS

We conduct a meta‐analysis of the literature of financial development and economic growth. We cover a large number of empirical studies and estimations that have been published in journal articles. We measure the degree of heterogeneity and identify the causes of the observed differentiation. Among the most significant factors behind this heterogeneity is the choice of financial‐variable proxies, the kind of data used as well as whether a study takes into account the issue of endogeneity. Our results suggest that the empirical literature on the finance–growth nexus is not free from publication bias. Also, a genuine positive effect exists between financial development and economic growth.     

A Meta‐Analysis of the International Gender Wage Gap

Abstract.  Since the early 1970s, a number of authors have calculated gender wage differentials between women and men of equal productivity. This meta‐study provides a new quantitative review of this vast amount of empirical literature on gender wage differentials as it concerns not only differences in methodology, data, and time periods, but also different countries. We place particular emphasis on a proper consideration of the quality of the underlying study which is done by a weighting with quality indicators. The results show that data restrictions – i.e. the limitation of the analysis to new entrants, never‐marrieds, or one narrow occupation only – have the biggest impact on the resulting gender wage gap. Moreover, we are able to show what effect a misspecification of the underlying wage equation – like the frequent use of potential experience – has on the calculated gender wage gap. Over time, raw wage differentials worldwide have fallen substantially; however, most of this decrease is due to better labor market endowments of females.     

A META-ANALYSIS OF FDI AND PRODUCTIVITY SPILLOVERS IN DEVELOPING COUNTRIES

This meta-analysis reviews the intrasector heterogeneity of productivity spillovers from foreign direct investment (FDI) in 31 developing countries through a larger more comprehensive data set. We investigate how the inconsistencies in the reported spillover findings are affected by publication bias, characteristics of the data, estimation techniques, and empirical specification, analyzing 1450 spillover estimates from 69 empirical studies published in 1986–2013. Our findings suggest that reported FDI spillover estimates are affected by publication bias. In combination with model misspecification of the primary studies, the bias overstates the genuine underlying meta-effect, but the meta-effect remains economically and statistically significant. Our results emphasize that spillovers and their sign largely depend systematically on specification characteristics of the primary studies and publication bias. Publication bias is not caused by “best practice” choices. Future research needs to cover more developing countries and to investigate not only whether spillovers occur, but also to explore inside the black box of how spillovers actually emerge.     

Beyond Publication Bias

Abstract.  This review considers several meta‐regression and graphical methods that can differentiate genuine empirical effect from publication bias. Publication selection exists when editors, reviewers, or researchers have a preference for statistically significant results. Because all areas of empirical research are susceptible to publication selection, any average or tally of significant/insignificant studies is likely to be biased and potentially misleading. Meta‐regression analysis can see through the murk of random sampling error and selected misspecification bias to identify the underlying statistical structures that characterize genuine empirical effect. Meta‐significance testing and precision‐effect testing (PET) are offered as a means to identify empirical effect beyond publication bias and are applied to four areas of empirical economics research – minimum wage effects, union‐productivity effects, price elasticities, and tests of the natural rate hypothesis.     

Market‐oriented institutions and policies and economic growth: A critical survey

Abstract.  This paper surveys recent evidence suggesting that market‐oriented institutions and policies are strongly related to economic growth, focusing on studies using the economic freedom (EF) indicator of the Fraser Institute. This index is critically discussed. Also various serious shortcomings of empirical studies using this index are identified. Nevertheless, there are strong indications that liberalization, i.e. an increase in the EF index, stimulates economic growth. This paper also reviews studies on the determinants of EF. Political liberalization is often found to enhance economic liberalization, whereas there is less evidence for causality running in the other direction.     

A Meta‐Analytic Assessment of the Effect of Immigration on Wages

Abstract.  In our increasingly interconnected and open world, international migration is becoming an important socioeconomic phenomenon for many countries. Since the early 1980s, many studies about the impact of immigration on host labour markets have been undertaken. Borjas (2003 , The labor demand curve is downward sloping: reexamining the impact of immigration on the labor market. Quarterly Journal of Economics 118(4): 1335–1374) noted that the estimated effect of immigration on the wage of native workers varies widely from study to study and sometimes even within the same study. In addition, these effects cluster around zero. Such a small effect is a rather surprising outcome, given that in a closed competitive labour market an increase in labour supply may be expected to exert a downward pressure on wages. We revisit this issue by applying meta‐analytic techniques to a set of 18 papers, which altogether generated 348 estimates of the percentage change in the wage of a native worker with respect to a 1 percentage point increase in the ratio of immigrants over native workers. While many studies in our database employ US data, estimates are also obtained from Germany, The Netherlands, France, Norway, Austria, Israel and Australia. Our analysis shows that results vary across countries and are inter alia related to the type of modelling approach. Technical issues such as publication bias and quality of the estimates are addressed as well.     

SUCCESSFUL IN THE LONG RUN: A META‐REGRESSION ANALYSIS OF PERSISTENT FIRM PROFITS

We study the profit persistence literature by applying meta‐regression analysis (MRA) to a set of 36 empirical papers, which analyze the persistence of abnormal firm profits over time. The analyzed literature provides evidence for a mediocre degree of persistence in abnormal profits. An initial analysis of the distribution of reported profit persistence estimates reveals some degree of excess variation. This points toward publication bias that favors significant results independent of their algebraic sign. The MRA, however, reveals that publication bias is particularly favoring results that indicate profit persistence and thus contradict the neoclassical model of perfect competition. Moreover, the MRA enables to control for heterogeneity driven by the study design. We find that the analyzed country (developing vs. developed), the applied econometric approach, as well as the analyzed period of time are significant drivers of heterogeneity in reported persistence estimates.     

Cost‐ and Income‐based Measures of Human Capital

Human capital is increasingly believed to play an important role in the growth process, however, adequately measuring its stock remains controversial. In this paper three general approaches to measurement are identified; cost‐based, income‐based and educational stock‐based. This survey focuses on the first two approaches and provides a critical review of the theories and their applications to data from a range of countries. Particular emphasis is placed upon the work of Jorgenson and Fraumeni (1989, 1992) and some new results for New Zealand based upon their approach are also presented.     

Does unemployment hysteresis falsify the natural rate hypothesis? a meta‐regression analysis

Abstract.  A quantitative survey of 24 studies containing 99 national estimates of unemployment persistence reinstates unemployment hysteresis as a viable falsifying hypothesis to the natural rate hypothesis. Empirical evidence to the contrary may be attributed to small-sample, misspecification and publication biases. Larger estimates of unemployment persistence are produced by models that use more information ( t  = 9.03; P  < 0.0001) and are better specified. A theme of bias and misspecification among studies that are more supportive of natural rate hypothesis emerges in several independent ways. The nonstationarity of the unemployment rate is confirmed both by the observed rate of convergence of persistence estimates across the empirical literature and by the point towards which they converge. The natural rate hypothesis may be regarded as 'falsified' should we choose to do so.     

Non‐Mandatory Approaches to Environmental Protection

The approach to environmental protection has been evolving from a regulation‐driven, adversarial 'government‐push' approach to a more proactive approach involving voluntary and often 'business‐led' initiatives to self‐regulate their environmental performance. This has been accompanied by increasing provision of environmental information about firms and products to enlist market forces and communities in creating a demand for corporate environmental self‐regulation by signaling their preferences for environmentally friendly firms. This paper provides an overview of the non‐mandatory approaches being used for environmental protection and surveys the existing theoretical literature analyzing the economic efficiency of such approaches relative to mandatory approaches. It also discusses empirical findings on the factors motivating self‐regulation by firms and its implications for their economic and environmental performance. It examines the existing evidence on the extent to which information disclosure is effective in generating pressures from investors and communities on firms to improve their environmental performance.     

CORRUPTION'S DIRECT EFFECTS ON PER‐CAPITA INCOME GROWTH: A META‐ANALYSIS

Corruption is a symptom of weak institutional quality and could have potentially adverse effects on economic growth. However, heterogeneity in reported findings makes it difficult to synthesize the evidence base with a view to test competing hypotheses and/or support evidence‐based policy and practice. To address this issue, we have extracted 327 estimates of corruption's direct effect on per‐capita GDP growth from 29 primary studies, following a peer‐reviewed and pre‐published systematic review protocol. Precision‐effect and funnel asymmetry tests indicate that corruption has a negative effect on per‐capita GDP growth after controlling for publication selection bias and within‐study dependence. However, multivariate meta‐regression analysis results indicate that the overall effect is not robust to inclusion of moderating variables through a general‐to‐specific procedure for model specification. We report that the marginal effect of corruption on per‐capita GDP growth is more adverse when the primary study estimates relate to long‐run growth, are based on low‐income‐country data only, and extracted from journal papers. The effect is less adverse in studies that use the International Country Risk Guide corruption perceptions index and in those reporting estimates from two‐stage least‐squares estimations.     

Non‐linear Dynamics in the Infinite Time Horizon Model

Using results from the theory of non‐linear dynamical systems, it has been shown that optimal growth theory can provide new explanations for business cycles and for international differences in growth and development. The present survey concentrates on this aspect of optimal growth theory, that is on the possibility of fluctuations and non‐uniqueness in models of optimal capital accumulation. It is a selective survey on non‐linear dynamics in infinite time horizon models of optimal growth.     

Models of Quality‐Adjusted Life Years when Health Varies Over Time: Survey and Analysis

Abstract.  Quality‐adjusted life year (QALY) models are widely used for economic evaluation in the health care sector. In the first part of the paper, we establish an overview of QALY models where health varies over time and provide a theoretical analysis of model identification and parameter estimation from time trade‐off (TTO) and standard gamble (SG) scores. We investigate deterministic and probabilistic models and consider five different families of discounting functions in all. The second part of the paper discusses four issues recurrently debated in the literature. This discussion includes questioning the SG method as the gold standard for estimation of the health state index, re‐examining the role of the constant‐proportional trade‐off condition, revisiting the problem of double discounting of QALYs, and suggesting that it is not a matter of choosing between TTO and SG procedures as the combination of these two can be used to disentangle risk aversion from discounting. We find that caution must be taken when drawing conclusions from models with chronic health states to situations where health varies over time. One notable difference is that in the former case, risk aversion may be indistinguishable from discounting.     

Multidimensional skills and the returns to schooling: Evidence from an interactive fixed-effects approach and a linked survey-administrative data set

This paper presents new evidence on returns to schooling based on an interactive fixed-effects framework that allows for multiple unobserved skills with potentially time-varying prices as well as individual-level heterogeneity in returns. This constitutes a substantive generalization of most existing approaches. Our empirical analysis employs a unique linked survey-administrative panel data set on education and earnings. We find average marginal returns to schooling of about 2.8–4.4% relative to least squares/instrumental variable estimates between 7.7% and 12.7%. Omitted ability accounts for a larger fraction of the aggregate least squares bias compared to heterogeneity. We also find considerable heterogeneity in individual returns.     

The Long‐Run implications of Growth Theories

This paper draws attention to some possible misunderstandings concerning the place of long‐run outcomes in growth theory. It argues that the traditional emphasis on these outcomes is often misguided. As a result of this emphasis, too much attention is paid to the role of knife‐edge assumptions, and researchers may be led to interpretations of the evidence, or models of the growth process, that are not wholly sensible.