The marginal and average returns to schooling in the UK

We explore the possibility that different instruments may affect different margins of the schooling distribution, and consistent with recent evidence we find a large, significant downward bias in the least squares estimate of the returns to schooling and that the estimates are stable with respect to the choice of instruments. However when we remove the assumption that log wages are linear in years of schooling we find sensitivity to the choice of instrument.     

The Cultural Revolution and returns to schooling in China: Estimates based on twins

This paper investigates the returns to schooling in China for the Cultural Revolution (CR) cohort and the non-CR cohort using a new set of Chinese twins data. Applying the fixed-effects model on twins data, which helps to control for the genetic and family background effects, this paper examines whether the CR cohort has smaller economic returns to schooling than the non-CR cohort. The empirical results in this paper indicate that the Cultural Revolution has not played a significantly adverse role in the returns to schooling.     

The Cultural Revolution and returns to schooling in China: Estimates based on twins

This paper investigates the returns to schooling in China for the Cultural Revolution (CR) cohort and the non-CR cohort using a new set of Chinese twins data. Applying the fixed-effects model on twins data, which helps to control for the genetic and family background effects, this paper examines whether the CR cohort has smaller economic returns to schooling than the non-CR cohort. The empirical results in this paper indicate that the Cultural Revolution has not played a significantly adverse role in the returns to schooling.     

Reporting errors, ability heterogeneity, and returns to schooling in China

Abstract. This study is aimed at providing a more accurate estimate of the returns to schooling in China by controlling for unobserved ability heterogeneity and measurement errors. We identify a unique instrument to correct for the omitted ability bias. We find that the attenuation bias caused by measurement error dominates the omitted ability bias in the OLS estimation. Based on the GMM estimation, for young workers in China, the return to schooling is 15.0% overall and 16.9% for women.     

Human resources in China: the birth quota, returns to schooling, and migration

Abstract. The rural elderly in China have 40% of the income of the urban elderly, spend a larger share of their income on food, are in worse health, work later into their lives and depend more on their children, lacking pensions and public services. The birth quota since 1980 has particularly restricted the childbearing of rural, less educated, women, who therefore have fewer children to rely on for support. This inequality is reinforced by increasing returns to schooling, especially beyond secondary school. Government restrictions on rural–urban migration reduces national efficiency, adds to the urban–rural wage gap and increases inequality.     

Parental background,educational attainments and returns to schooling and to marriage: the case of Israel

This paper investigates the effect of family background attainments and on returns to own and wife's schooling, for Jewish males Israel. Three dimensions of paternal background are referred to: father's education, the prestige of the father's occupation, and whether the father is of a western origin (an advantage in the western-oriented Israeli society). For each of these types of segmentation it is found that both the level of and the returns to own and wife's schooling (after some years of marriage) are higher for those coming from a more favourable background.

These empirical findings are consistent with an investment in schooling model in which differences in demand (productivity of own and wife's schooling) vary more than differences in supply of investment funds.     

Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data

Considerable effort has been exercised in estimating mean returns to education while carefully considering biases arising from unmeasured ability and measurement error. Recent work has investigated whether there are variations from the “mean” return to education across the population with mixed results. We use an instrumental variables estimator for quantile regression on a sample of twins to estimate an entire family of returns to education at different quantiles of the conditional distribution of wages while addressing simultaneity and measurement error biases. We test whether there is individual heterogeneity in returns to education and find that: more able individuals obtain more schooling perhaps due to lower marginal costs and/or higher marginal benefits of schooling and that higher ability individuals (those further to the right in the conditional distribution of wages) have higher returns to schooling consistent with a non-trivial interaction between schooling and unobserved abilities in the generation of earnings. The estimated returns are never lower than 9 percent and can be as high as 13 percent at the top of the conditional distribution of wages but they vary significantly only along the lower to middle quantiles. Our findings may have meaningful implications for the design of educational policies.     

Estimating returns to education in urban China: Evidence from a natural experiment in schooling reform

Whereas there is a large literature on estimating returns to education in China, few studies have attempted to address the endogeneity of schooling choices. We explore the arguably exogenous changes in the duration of secondary education as the instrumental variable to identify the causal effect of years of schooling in urban China. The schooling years in most middle schools were reduced from three years to two years during the Cultural Revolution. The Chinese government gradually restored the middle school education years from two years to three years after 1978. An important feature of these policy changes is their large geographic variations. From local gazetteers, we find out the exact years when education years were reduced from three to two and when they were restored from two to three. Using the exogenous variation in schooling reform, we estimate that the returns to education are 12.7% for both monthly wage and disposable income.     

Institutions and growth: evidence from estimation methods robust to weak instruments

This article focuses on the empirical approach proposed by Hall and Jones (1999 Hall, RE and Jones, CI(HJ99). 1999. Why do some countries produce so much more output per worker than others?. The Quarterly Journal of Economics, 114: 83–116. [Crossref], [Web of Science ®] , [Google Scholar]) to estimate the effect of what they call ‘social infrastructure’ on productivity across countries. We consider the issue of weak identification in their linear instrumental variables model. The evidence obtained from partially robust estimators, such as the k-class and jackknife estimators, is interpreted on the basis of Monte Carlo studies. Our findings suggest that using certain k-class estimators allows exclusive reliance on the linguistic variables to instrument for institutional quality despite their low correlation with the endogenous regressor in question.     

Method-of-moments estimation and choice of instruments: Numerical computations

We numerically evaluate asymptotic variances and biases of various method-of-moments estimators in the Hansen–Singleton model calibrated to real data. Inspection of resulting figures leads to a conclusion that applied researchers do not always form instrument sets judiciously.     

A parametric control function approach to estimating the returns to schooling in the absence of exclusion restrictions: an application to the NLSY

An innovation which bypasses the need for instruments when estimating endogenous treatment effects is identification via conditional second moments. The most general of these approaches is Klein and Vella (J Econom 154:154–164, 2010), which models the conditional variances semiparametrically. While this is attractive, as identification is not reliant on parametric assumptions for variances, the nonparametric aspect of the estimation may discourage practitioners from its use. This paper outlines how the estimator can be implemented parametrically. The use of parametric assumptions is accompanied by a large reduction in computational and programming demands. We illustrate the approach by estimating the return to education using a sample drawn from the National Longitudinal Survey of Youth 1979. Accounting for endogeneity increases the estimate of the return to education from 6.8 to 11.2%.     

The gender difference in wages and the returns to schooling over the great recession in the U.S.

This paper examines the effects of the Great Recession on the gender difference in hourly wage and the rate of return to schooling in the United States. Using data from American Community Survey 2000–2015, we find that the male-female difference in hourly wage declined during and after the recession. The Great Recession decreased earnings for both men and women, especially for those with more education. We also find there is a significant gender difference in the effects of the Great Recession on the returns to schooling. The Great Recession increased the rate of return to schooling for both men and women, and the female-male difference in the returns to schooling decreased by 0.4 percentage points in the post-recession period. The change of the gender difference in the returns to schooling can be explained by the wage structure change for men and women over the recession.     

Wage determination and returns to education in different ownerships of China: Evidence from quantile regressions

In this paper, quantile regressions is used to estimate wage equations of different ownerships. Quantile regressions give us distributions rather than a single estimate of the returns both to education and experience in each ownership sector. For state-owned enterprises (SOE), the returns to education tended to be larger at the bottom of the conditional distribution of wages in 1991 and 1993, and there was no such trend in 1997. For the private sector, however, the returns to education tended to be larger at the top positions in 1993 and 1997. It is also found that the growth rates of the wages at the bottom of the conditional distribution of wages are higher than those at the top in SOEs. No such patterns for the private sector is found. It is suggested the wage mechanism in the private sector is more market-oriented. __________ Translated from Shijie Jingji Wenhui 世界经济文汇 (World Economic Papers), 2006, (4): 1–26     

Determinants of long-term growth: New results applying robust estimation and extreme bounds analysis

Two important problems exist in cross-country growth studies: outliers and model uncertainty. Employing Sala-i-Martin’s (1997a,b) data set, we first use robust estimation and analyze to what extent outliers influence OLS regressions. We then use both OLS and robust estimation techniques in applying the Extreme Bounds Analysis (EBA) to deal with the problem of model uncertainty. We find that the use of robust estimation affects the list of variables that are significant determinants of economic growth. Also the magnitude of the impact of these variables differs sometimes under the various approaches.First version received: March 2003 / Final version received: June 2004We like to thank two referees for their very helpful comments on a previous version of this paper. The usual disclaimer applies.     

An empirical note about estimation and forecasting Latin American Forex returns volatility: the role of long memory and random level shifts components

Portuguese Economic Journal - A set of RLS-type models with ARMA and ARFIMA dynamics is estimated and compared in a forecasting exercise with ARFIMA, GARCH and FIGARCH models. It is an extension of...     

Engineering robust instruments for GMM estimation of panel data regression models with errors in variables: a note

Econometricians have long recognized the need to account in some way for measurement errors, specification errors and endogeneity to ensure that the ordinary least squares estimator is consistent. This article introduces a new generalized method of moments estimator that relies on robust instruments to estimate panel data regression models containing errors in variables. We show how this GMM approach can be generalized for the panel data framework using higher moments and cumulants as instruments. The new instruments, engineered for greater robustness, are proposed to tackle the pervasive problem of weak instruments.     

The estimation of Gini coefficients from grouped data: Upper and Lower Bounds

The conventional method of estimating the Gini coefficient (e.g., for an income distribution) from grouped data on a continuous variable is known to be an underestimate. This note provides a distribution free upper bound, using information about class boundaries.     

A cost function approach to the estimation of minimum efficient scale,returns to scale,and suboptimal capacity: With an application to Canadian manufacturing

This paper presents a new method for utilizing the statistical cost technique to measure minimum efficient scale (MES), returns to scale and suboptimal capacity. An application of the duality theory between cost and homothetic production functions leads to justification for ignoring poor quality or unavailable capital data and the pooling of several years observations to improve the efficiency of the estimates. The methodology is applied to 91 four-digit Canadian manufacturing industries to obtain estimates of MES, returns to scale, and suboptimal capacity. For a subsample of industries, we demonstrate that the cost function estimates of MES and returns to scale are more closely related to engineering estimates than are the ad hoc estimates usually found in the industrial organization literature.