Estimates of the return to schooling in Sweden from a large sample of twins

A large sample of twins was used to examine whether conventional estimates of the return to schooling in Sweden are biased because ability is omitted from the earnings–schooling relationship. Ignoring measurement error, the results indicate that omitting ability from the earnings–schooling relationship leads to estimates that are positively biased. However, reasonable estimates of the measurement-error-adjusted returns are both above and below the unadjusted estimates, showing that the results depend crucially on a parameter not known at this time. However, an estimate of the reliability ratio was obtained using two measures on educational attainment. With this estimate of the reliability ratio, the measurement-error-adjusted estimate of the return to schooling in the sample of identical twins indicates that there is at most a slight ability bias in the conventional estimates of the return to schooling. The fundamental assumption of this kind of study is that within-pair differences in educational attainment are randomly determined. This assumption was also tested, but no strong evidence to reject it was found.     

The economic return to schooling in Ireland

Recent developments in the schooling returns literature have focused on exploiting alternative instruments. A number of instruments are available in an Irish dataset, including parental background variables (social class and educational attainment), and variables measuring changes in the schooling system (the introduction of free secondary schooling in the mid-1960s, accompanied by a rapid rise in educational participation rates, and the raising of the school-leaving age in 1972). The results suggest, however, that OLS estimates of rates of return are not significantly downward biased as would be suggested by recent arguments in the literature.     

Factors influencing the return on household education investment: empirical evidence from China

Using correlation testing and principal component analysis, this paper studies the factors influencing the return on household education investment in China with data collected from questionnaires distributed all over China. Suggestions are provided for the methods to improve the return on household education investment effectively, from the perspective of both households and government.     

Women and corruption: evidence from multinational panel data

In this paper we investigate whether the ratio of female population is related with lower corruption, utilizing a multinational panel data with 80 countries for the period 2000–2012 and employing the Generalized Method of Moments as well as the ordered probit regression methods. This is the first study on the impacts of different female groups on corruption. Overall speaking, the estimation results are pluralistic. Higher female ratios in the legislative branch and in the labor force are significantly associated with a lower level of corruption, while the female ratio in secondary enrollment is positively related with corruption; however, the female ratio of the whole population has insignificant impacts on corruption. The policy implications are that a simple enhanced female ratio and educational level are not the effective way to inhibit corruption in our sample countries, whereas improvements of the female ratio in the legislative branch and the labor force contribute to controlling corruption. These results are basically robust for the two estimation methods and for the two subsamples of developed and developing countries. As a result, the estimation results on the relationship between corruption and gender might vary remarkably when different indicators for the female groups are utilized, which should some light on future studies.     

Long-term relationship between political behavior and stock market return: new evidence from quantile regression

The stock market is an extremely sensitive and comprehensive indicator of the fluctuating political climate as well as investor confidence. Therefore, in an era of fierce media competition, the long-term influence of political behaviors on the Taiwan stock market is an important issue. However, the traditional regression model can only describe the “average” influence of variables on rate of return rather than completely describe conditional distribution as in quantile regression, which also analyzes correlations between stock return and the congressional effect.     

Budget deficits and the current account balance: New evidence from panel data

This study examines two distinguishing predictions of the finite-horizon open-economy macroeconomic models regarding the effect of fiscal policy on the current account balance: (1) Given the path of government expenditures, a fall in public savings has an adverse effect on the current account balance, and (2) a bond-financed increase in government expenditures exerts a larger adverse effect on the current account balance than a tax-financed alternative. These predictions are vastly different from those of the Ricardian theory. According to this view, (1) lower public savings are met by equal increases in desired private savings, and thus the current account balance does not change, and (2) the response of current account balance to a change in government spending is independent of its financing methods. Empirical analysis of 63 countries is consistent with the conventional theory.     

The translog production function: Some evidence from establishment data

This paper uses cross-section data from individual establishments to estimate directly, i.e., without using side conditions, translog functions for 44 four-digit ISIC Chilean manufacturing industries. Main results are: (1) The null hypothesis that the production function is Cobb-Douglas cannot be rejected for 39 out of 44 four-digit ISIC industries. (2) The null hypothesis of constant returns to scale cannot be rejected for 35 out of 44 industries; the remaining 9 sectors show evidence of increasing returns to scale.     

Semiparametric binary regression models under shape constraints with an application to Indian schooling data

We consider estimation of the regression function in a semiparametric binary regression model defined through an appropriate link function (with emphasis on the logistic link) using likelihood-ratio based inversion. The dichotomous response variable Δ$\Delta$ is influenced by a set of covariates that can be partitioned as (X,Z)$(X,Z)$ where Z$Z$ (real valued) is the covariate of primary interest and X$X$ (vector valued) denotes a set of control variables. For any fixed X$X$, the conditional probability of the event of interest (Δ=1$\Delta =1$) is assumed to be a non-decreasing function of Z$Z$. The effect of the control variables is captured by a regression parameter β$\beta$. We show that the baseline conditional probability function (corresponding to X=0$X=0$) can be estimated by isotonic regression procedures and develop a likelihood ratio based method for constructing asymptotic confidence intervals for the conditional probability function (the regression function) that avoids the need to estimate nuisance parameters. Interestingly enough, the calibration of the likelihood ratio based confidence sets for the regression function no longer involves the usual χ²${\chi }^2$ quantiles, but those of the distribution of a new random variable that can be characterized as a functional of convex minorants of Brownian motion with quadratic drift. Confidence sets for the regression parameter β$\beta$ can however be constructed using asymptotically χ²${\chi }^2$ likelihood ratio statistics. The finite sample performance of the methods are assessed via a simulation study. The techniques of the paper are applied to data sets on primary school attendance among children belonging to different socio-economic groups in rural India.     

The wage policy of firms: comparative evidence for the US and Germany from personnel data

The wage policy of a German firm and a US firm is subjected to a comparative analysis, focusing on the relation between wages and hierarchies. While previous studies have examined only one particular firm, this paper investigates two plants belonging to the same owners with similar production processes but in different institutional environments. Convex wage profiles over the hierarchy levels of both plants are found. The US plant shows considerably higher intensity of intra-firm competition in terms of higher intra-level wage inequality and annual promotion rate. In contrast, wages are more distinctly attached to hierarchy levels in the German firm, as shown by wage regressions. The results are discussed in relation to previous studies.     

Trading volume and return volatility of Bitcoin market: evidence for the sequential information arrival hypothesis

Journal of Economic Interaction and Coordination - This paper gives the first empirical evidence on the relationships between trading volume and return volatility of the Bitcoin denominated in...     

The productivity effects of stock option schemes: evidence from Finnish panel data

In this study we investigate the productivity effects of employee stock option schemes. We estimate Cobb-Douglas production functions by using new panel data for all Finnish publicly listed firms during 1992–2002. The data enable us to distinguish broad-based option plans, for which all employees are eligible, from those selectively allocated to particular employees. For both type of schemes, our baseline fixed effects estimators consistently find statistically insignificant associations with firm productivity. When endogeneity of production inputs and option-schemes are taken into account we continue to find no evidence of a link with firm productivity. Our main findings are consistent with hypotheses that predict negligible effects of option plans for enterprise performance, such as those based on free riding, psychological expectancy theory, accounting myopia, or rent-seeking. We consider reasons why our empirical findings on the impact of broad-based options differ from those found in earlier studies.     

Availability and settlement of individual stock futures and options expiration-day effects: evidence from high-frequency data

This study examines whether the expiration-day effects of stock options traded in Australian Stock Exchange on return, volatility, trading volume, and temporary price changes of individual stocks vary with the availability and the settlement method of individual stock futures contracts. Using transaction data of the stocks that have both options and futures contacts from 1993 to 1997, we find that options expiration has significant effects on return and volatility of the underlying stocks in absence of individual stock futures. After introduction of a cash-settled stock futures contract, the effects decrease notably. However, the switch of a futures contract from cash settlement to physical delivery promotes the expiration effects on return and volatility and boosts temporary price changes on expiration days. Finally, options expiration has little effect on trading volume. Trading activity tends to behave normally regardless whether stock futures contracts are available or not.     

Gender differences in job separation rates and employment stability: New evidence from employer-employee data

I analyze the job separation process to learn about gender differences in job separation rates and employment stability. An essential finding is that employer-employee data are required to identify gender differences in job separation probabilities because of labor market segregation. Failure to recognize this may potentially lead to statistical discrimination. Three important empirical results are obtained from the analysis. First, women have higher unconditional job separation probabilities. Second, there are no gender differences in job separation probabilities for employees working in similar workplaces. Finally, women's employment stability is relatively low because they are more likely to move from a job and into unemployment or out of the labor force, and less likely to make job-to-job transitions.     

Technological evolution as creative destruction of process heterogeneity: evidence from US plant-level data

Change in evolutionary economics is predicated on the creative destruction of variety. Despite the importance of the concept of variety, or heterogeneity, in evolutionary economic theory, empirical work that examines the character of variety – its extent and its persistence – is still scarce. Drawing on unpublished, micro-level data from the US Bureau of the Census, this paper examines the characteristics of process heterogeneity in selected US manufacturing industries. More specifically the paper has three goals. First, to demonstrate that heterogeneity in plant technologies exists and that it persists over time even within relatively mature industrial sectors. Second, to examine the veracity of the processes that generate and destroy heterogeneity in production technology within narrowly defined industries. Third, to link the heterogeneity of plant-level techniques of production to the pace and direction of technological change at the level of the industry.     

Capital mobility, foreign aid, and openness: further panel data evidence from sub-Saharan Africa

This study uses several alternative panel data estimation techniques (pooled ordinary least squares, fixed effects, and random effects) to examine the effect of domestic savings, foreign aid, the evolution of capital mobility over time, and openness on investment rates for a sample of 29 sub-Saharan African countries over the time period 1980 to 2001. The empirical evidence suggests the presence of capital mobility in line with previous studies of developing economies and that capital mobility has gradually increased over time. Moreover, foreign aid and openness both have positive and significant impacts on investment rates.