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Author: Song, Xueda
Resulting in 4 citations.
1. Barbu, Emilia
Song, Xueda
The Effects of Offshoring on Employer-provided Training
Journal of International Trade and Economic Development: An International and Comparative Review 25,4 (June 2016): 479-503.
Also: http://www.tandfonline.com/doi/abs/10.1080/09638199.2015.1068838
Cohort(s): NLSY79
Publisher: Taylor & Francis Group
Keyword(s): Occupations; Training; Training, Employee; Wage Rates

Permission to reprint the abstract has not been received from the publisher.

This study examines how offshoring affects employers' investment in training. Departing from the standard assumption in the literature that low-skilled jobs are transferred to developing countries while high-skilled jobs are still performed in the Home Country, we argue that whether a productive activity is offshored depends on whether its associated occupation is offshorable, regardless of its skill content. Our theoretical model suggests that the offshoring of productive activities involving offshorable occupations raises the wage rate for non-offshorable occupations in the Home Country, and thus reduces the incentive for firms to provide training in non-offshorable occupations. The effects of offshoring on training for offshorable occupations, however, are ambiguous. Based on two new measures of offshoring and data from the National Longitudinal Survey of Youth 1979 (1989–2004), we empirically investigate the relationship between offshoring and employer-provided training in the United States. For non-offshorable occupations, we find that offshoring has a significant negative relationship with the incidence of training, but does not have much, if any, significant relationship with the intensity of training. For offshorable occupations, offshoring does not have any significant relationship with either the incidence or the intensity of employer-provided training. These findings are in line with our theoretical model.
Bibliography Citation
Barbu, Emilia and Xueda Song. "The Effects of Offshoring on Employer-provided Training." Journal of International Trade and Economic Development: An International and Comparative Review 25,4 (June 2016): 479-503.
2. Song, Xueda
Essays on Technological Change and Labor Markets
Ph.D. Dissertation, State University of New York at Albany, 2004. DAI-A 65/11, p. 4297, May 2005
Cohort(s): NLSY79
Publisher: UMI - University Microfilms, Bell and Howell Information and Learning
Keyword(s): Current Population Survey (CPS) / CPS-Fertility Supplement; Educational Attainment; Human Capital; Industrial Sector; Modeling; Schooling; Technology/Technological Changes

This dissertation is organized into three essays on technological change and labor markets. I specifically focus on the effects of technological change on human capital and its investment.

In the first essay, I examined how technological change affects experience-earning profiles through a simultaneous estimation of industry choice and wage determination with correction for self-selection on industry. Using data from Current Population Survey, I found positive truncation effects and nonhierarchical sorting into industries. Experience-earning profiles turned out to be higher and flatter in low-tech industries than in high-tech industries. Earnings peaks occurred at similar experience levels for the two types of industries. Differences in the curvature of experience-earning profiles between high-tech and low-tech industries were substantially reduced after correcting for selection bias.

In the second essay, I made a distinction between human capital obtained from schooling and human capital obtained from training based on their different responses to technological change, and assessed how technological change affects these two types of human capital. Relying on National Longitudinal Survey of Youth 79 data, I estimated the parameters of a dynamic structural human capital investment model in an environment of rapid technological change using nonlinear least squares method. I found that the productivity of schooling human capital increased under rapid technological change in spite of the obsolescence while the net effect of technological change on training human capital was fast obsolescence. These findings suggest that individuals with more schooling enjoy an advantage in dealing with technological change over those with less schooling.

In the third essay, I analyzed empirically how technological change affects life-cycle human capital investment, in particular, schooling and training choices. Using the parameter estimates for the human capital investment model constructed in the second essay, I solved the value function and optimal decision rules for the dynamic programming problem numerically. I further simulated the life-cycle profiles of schooling and training under different rates of technological change for two ability groups respectively. I found that technological change tended to result in more schooling and training for the high-ability group while exerting little impact on human capital investment for the low-ability group.

Bibliography Citation
Song, Xueda. Essays on Technological Change and Labor Markets. Ph.D. Dissertation, State University of New York at Albany, 2004. DAI-A 65/11, p. 4297, May 2005.
3. Song, Xueda
The Effects of Technological Change on Schooling and Training Human Capital
Working Paper, Department of Economics, York University, February 2011
Cohort(s): NLSY79
Publisher: Department of Economics, York University
Keyword(s): Human Capital; Schooling; Technology/Technological Changes; Training

Permission to reprint the abstract has not been received from the publisher.

This study investigates the differential effects of technological change on general human capital acquired through schooling and technology-specific human capital acquired through training based on a life-cycle human capital investment model. Using data from National Longitudinal Survey of Youth 79 (1987-2003), I find that training human capital is more vulnerable to obsolescence due to technological change than is schooling human capital for both high-ability and low-ability individuals. This suggests that individuals with more schooling enjoy an advantage in dealing with technological change over those with less schooling.
Bibliography Citation
Song, Xueda. "The Effects of Technological Change on Schooling and Training Human Capital." Working Paper, Department of Economics, York University, February 2011.
4. Song, Xueda
The Effects of Technological Change on Schooling and Training Human Capital
Economics of Innovation and New Technology 22,1 (2013): 23-45.
Also: http://www.tandfonline.com/doi/abs/10.1080/10438599.2012.698844
Cohort(s): NLSY79
Publisher: Taylor & Francis
Keyword(s): Human Capital; Schooling; Skills; Technology/Technological Changes; Training

This study investigates the differential effects of technological change on general human capital acquired through schooling and technology-specific human capital acquired through training based on a life-cycle human capital investment model. Using data from the National Longitudinal Survey of Youth 79 (1987–2003), I find that for both high-ability and low-ability individuals, the net effect of technological change on training human capital is obsolescence, whereas that on schooling human capital is an increase in productivity in spite of the obsolescence. This finding is consistent with the view that individuals with more schooling may enjoy an advantage under rapid technological change over those with less schooling. I also find that technological change exerts differential impacts on individuals with different ability levels, which provides support for the skill-biased technical change theory.
Bibliography Citation
Song, Xueda. "The Effects of Technological Change on Schooling and Training Human Capital." Economics of Innovation and New Technology 22,1 (2013): 23-45.