Gender differences in Russia's job mobility and its rewards*

This article considers age and gender differences in the probability and consequences of job mobility in Russia. Little is known about who is mobile and whether mobility impacts wages once the characteristics of movers are controlled for. Results show a gender difference in the likelihood of exit but not promotion. Results also show that promotions have a positive effect only on the wages of young women, but young men's wages are not affected. Further, young men see a significant decrease in wages following an exit, while young women are not affected by firm exit. The article shows that early mobility is particularly important for women, who earn less overall. Results help to understand processes of inequality in wages and conditions that occur due to sorting, and the importance of promotions as ‘life chances’ which lead to ‘career-track jobs’. Gender differences in securing such life chances may help to understand gaps in earnings, which emerge later.     

Gender differences in social capital investment: Theory and evidence

This paper analyses individual social capital investment by extending the investment model of Glaeser et al. (2002) to allow for differing types of social capital. A dynamic solution to the individual's maximisation problem illustrates differences in social capital investment dependent on the conversion factor of investment. An empirical section finds that females invest more and derive greater wellbeing from this type of social capital investment; consistent with a higher conversion factor. The findings have implications for the work–life balance policies within firms and provide another explanation for gender differences in earnings.     

Knowledge spillovers,human capital and productivity

Knowledge spillovers in the form of human capital are often regarded as the engine of sustained growth and development. We employ a rich employer–employee matched dataset on the manufacturing industry in Taiwan, a newly industrialized economy, to quantify the significance of human capital spillovers and their effects on productivity gains. Using the ratio of higher-educated (university or above) employees in each city as the external human capital index of a plant (excluding the reference plant itself) and addressing the potential endogeneity of various unobservable factors attributable to the location of the plant, we find that within a given city, a 1 percent increase in the proportion of higher-educated employees will increase the productivity of plants in that city by approximately 0.93–1.15 percent. Furthermore, the productivity increases are found to be greater for high-tech plants and for those located in cities with science parks. This indicates that human capital spillovers are not only present, but stronger under greater technology intensities. Our measure of the monetary value of such spillover effects indicates that a 1 percent increase in the percentage of higher-educated employees in a city will raise the value-added per plant by US$15,937, or, equivalently, an increase of US$1.27 billion for the entire manufacturing industry.     

Growth and social security: the role of human capital

This paper studies the growth and efficiency effects of pay-as-you-go financed social security when human capital is the engine of growth. Employing a variant of the Lucas model [Lucas, R.E., 1988. On the mechanics of economic development. Journal of Monetary Economics 22, 3–42.] with overlapping generations, it is shown that a properly designed, unfunded social security system leads to higher output growth than a fully funded one. Furthermore, the economy with an unfunded social security is efficient, while the other one is not. These results stand in sharp contrast to those obtained in models where the reason for economic growth is physical capital accumulation.     

Investment in human capital and gender wage differences: evidence from the NLSY

This paper uses data from the National Longitudinal Survey of Youth (NLSY) to investigate gender differences in returns to various forms of human capital. Since the NLSY includes relatively detailed information regarding on- and off-the-job training, we place special emphasis on measuring gender differences in the incidence of and returns to formal post-school training. Also considered is the role of nonhuman capital factors such as industry and occupation in explaining the wage gap. It is found that about 60% of the gender wage gap in the sample is explained by mean differences in individual characteristics and market circumstances. This suggests a smaller role for discrimination in explaining the wage gap than previous research has found. The research indicates that training does not affect the gender wage gap. Also it is found that there is no statistically significant difference in the rate of return to other measures of human capital for women versus men. Our research suggests that the largest factors contributing to the wage gap are differences in the stocks of human capital for men and women, and differences in the distributions of men and women across industries and occupations.     

Revisiting human capital and aggregate income differences

We revisit human capital and development accounting. In quantifying human capital, we split it into three components; schooling (years of education), cognitive skills (as proxied by test score results), and a health indicator (for which adult survival rates are used). Our calculations are reported for a substantive cross-section of countries for the year 2000. According to our most conservative estimates, the most complete measure of human capital accounts for 19–28% of differences in output per worker across countries, but when excluding the health component this value falls to 17–22%, and further to 13–14% when only considering schooling. We present group comparisons, finding for some regions values as large as 40–50%.     

The role of foreign capital in domestic manufacturing productivity: empirical evidence from Asian economies

The paper empirically examines the relative contribution of foreign and domestic machinery and equipment on manufacturing productivity in seven Asian economies. A Cobb-Douglas production function is used to test whether foreign machinery is more productive than domestic machinery. The study is based on a pooled cross-sectional time-series model, including seven countries - Hong Kong, Singapore, South Korea, Malaysia, Indonesia, the Philippines and India - for the years 1975 to 1990. The results support the hypothesis that a country's stage of development, skill-level of its labour force, and the technology embodied in capital play a crucial role in determining the relative impact of foreign and domestic capital on manufacturing productivity.     

Elasticity of substitution and productivity, capital and skill intensity differences across firms

This paper, instrumented with six theorems, shows that differences between firms in labor productivity, capital intensity and relative demand for skilled labor can be explained by differences in the substitution parameters between capital, skilled and unskilled labor in the presence of skill biased technical change.     

Globalizing labor and the world economy: the role of human capital

We develop a dynamic model of the world economy that jointly endogenizes individual decisions about fertility, education and migration. We then use it to compare the short- and long-term effects of immigration restrictions on the world distribution of income. Our calibration strategy replicates the economic and demographic characteristics of the world, and allows us to proxy bilateral migration costs and visa costs for two classes of workers and for each pair of countries. In our benchmark simulations, the world average level of income per worker increases by 12% in the short term and by approximately 52% after one century. These results are highly robust to our identifying strategy and technological assumptions. Sizable differences are obtained when our baseline (pre-liberalization) trajectory involves a rapid income convergence between countries or when we adjust visa costs for a possible upward bias. Our quantitative analysis reveals that the effects of liberalizing migration on human capital accumulation and income are gradual and cumulative. Whatever is the size of the short-term gain, the long-run impact is 4 to 5 times greater (except under a rapid convergence in income).     

Income inequality and financial reform in Asia: the role of human capital

We investigate whether financial reform can reduce income inequality in Asia, with particular emphasis on the role of human capital. Extending Galor and Zeira (1993), we demonstrate that financial reform is effective in reducing income inequality, and the effect is more profound in a country with higher human capital. Using the data for 18 countries in Asia, the region with the most promising financial reform, we confirm our theoretical finding. In addition, among disaggregated financial reforms, lift of credit control, better banking supervision and security market development seem to be significantly associated with reduction of income inequality.     

International technology spillovers,human capital and productivity linkages: evidence from the industrial sector

The paper estimates an empirical model that is consistent with a variety of Research and Development (R&D)-driven models of growth where technology is transmitted via trade to other industries, both domestically and internationally, by being embodied in differentiated intermediate goods. The evidence is based on data from 21 manufacturing industries in six European Union countries for the period 1980–1997. The contribution of the paper lies in showing how by including human capital in the model and employing suitable econometric procedures the magnitude of R&D spillovers reported in the existing literature can be affected, while pointing to a major role of human capital in economic growth process.     

Do R&D activities matter for productivity? A regional spatial approach assessing the role of human and social capital

We estimate the long-run effects of Research and Development (R&D) activities on Total Factor Productivity (TFP) across the Spanish regions during 1980–2007. We use panel data cointegration methods and control for spatial externalities linked to human and social capital. Our empirical results, robust to different specifications and additional control variables, show a significant direct effect of public R&D capital on productivity. No significant results are observed for private R&D capital. In contrast, the effect of patents is highly significant but proves to be small. Furthermore, Spain has greatly benefited from importing technology from leading countries. Spatial spillovers are crucial in explaining long-run productivity for the case of Spain. Human and social capital exert direct positive impacts, however, their effects are geographically bounded and negative spatial spillovers offset direct outcomes. Overall TFP increases when neighbouring territories engage in R&D activities.     

Corporate governance,human capital,and productivity: evidence from Chinese non-listed firms

This article analyses the effects of corporate governance (CG) and human capital on productivity by using the 1999–2006 data from the National Bureau of Statistics of China (NBSC). The findings of this study are twofold. First, CG and human capital generate significant positive effects on the productivity of both state-owned enterprises (SOEs) and non-SOEs. Second, CG has significantly different moderate and mediate effects on the relationship between human capital and productivity. Our results are robust to different specifications and alternative measures. This study provides clear policy implications by suggesting that the firms in emerging markets, especially SOEs, must improve their CG and their allocation of human capital for them to enhance their productivity.     

Comprehensive income taxation, investments in human and physical capital, and productivity

This paper analyses the implications of the comprehensive income tax for the accumulation of human and physical capital and for the overall productivity level of the economy. A comprehensive income tax, applying to both labour income and capital income, is shown to discriminate against investments in human capital relative to investments in physical capital. It has an adverse impact on human capital accumulation and lowers productivity.     

Gender differences in e-commerce

Predictors of shopping online were compared for men and women using a sample of 365 college students. For the men, the only predictor of purchasing products online was the number of hours they spent online. For women, the predictors of making purchases online included anxiety about using computers and attitudes toward money, in addition to the number of hours spent online. The results were examined using OLS and MLE (logit and probit) regressions techniques, and the results from each technique compared and contrasted.     

Gender differences in lying

Aversion to lying has been consistently observed in sender-receiver games. Women have demonstrated greater aversion to lying for a small monetary benefit in these games than men. We test the robustness of this gender difference in a sender-receiver game with larger stakes. We find no difference in lying by gender.     

Gender differences in optimism

This article examines gender differences in optimism about the economy. We measure optimism using Swedish survey data in which respondents stated their beliefs about the country’s future economic situation. We argue that this measure of optimism is preferable to common measurements in the literature since it avoids confounding individuals’ economic situation with their perception of the future and it can be compared to economic indicators. In line with previous research, we find that men are more optimistic than women; however, men are also more prone to be wrong in their beliefs about the future economic situation. Furthermore, in sharp economic downturns, the gender differences in optimism disappear. This convergence in beliefs can be explained by the amount of available information on the economy.     

The role of human and social capital in growth: extending our understanding

Human capital, institutions and social capital are now all recognisedas significant factors of growth. They have largely been studiedseparately, and although they present sufficient common characteristicsto be conceptualised as one main category distinct from physicalcapital, it may still be more important to focus on the linksbetween their specific sub-categories. Direct links with incomemay be spurious, as there appears to be a ‘web of associations’between the sub-categories, which would benefit from furtherempirical investigation. This paper reviews the literature onhuman capital, institutions and social capital, extracting threesub-categories of human capital (human skills capital, stock-of-knowledgeand entrepreneurship) and two of social capital (low- and high-rationalisation).Specific areas are then suggested for further empirical study.     

Knowledge spillovers through FDI and trade: the moderating role of quality-adjusted human capital

The paper extends the findings of the Coe and Helpman (Eur Econ Rev 39(5):859-887, 1995) model of R&D spillovers by considering foreign direct investment (FDI) as a channel for knowledge spillovers in addition to imports. Deeper insights on the issue are provided by examining the inter-relationship between knowledge spillovers from imports and inward FDI. Furthermore, human capital is added to the discussion as one of the appropriability factors for knowledge spillovers, with special focus on its quality-content, using journal publications and patent applications. Applying cointegration estimation method on 20 European countries from 1995 to 2010, the direct effects of FDI-related as well as import-related spillovers on domestic productivity are confirmed. Furthermore, a strong complementary relationship is found between knowledge spillovers through the channels of imports and inward FDI. When considering quality-adjusted human capital, countries with better human capital are found to benefit not only from direct productivity effects, but also from absorption and transmission of international knowledge spillovers through imports and inward FDI. Finally, technological distance with the frontier does not appear to play a role in the absorption of import and FDI related knowledge spillovers.     

Labor productivity growth: disentangling technology and capital accumulation

How much of the convergence in labor productivity that we observe in manufacturing is due to convergence in technology versus convergence in capital-labor ratios? To shed light on this question, we introduce a nonparametric counterfactual decomposition of labor productivity growth into growth of the capital-labor ratio (K/L), technological productivity (TEP) and total factor productivity (TFP). Our nonparametric specification enables us to model technology allowing for heterogeneity across all relevant dimensions (i.e. countries, sectors and time). Using data spanning from the 1960s to the 2000s, covering 42 OECD and non OECD countries across 11 manufacturing sectors, we find TEP and TFP to account for roughly 46 and ?6% of labor productivity growth respectively, on average. While technological growth at the world level is driven primarily by the US and a handful of other OECD countries, we find strong evidence of convergence in both technology and capital-labor ratios. Interestingly, very few of the usual growth determinants are found to enhance the process of technological catching-up.