Reverse educational spillovers at the firm level

Purpose The purpose of this paper is to examine spillover effects across differently educated workers. For the first time, the authors consider “reverse” spillover effects, i.e. spillover effects from secondary-educated workers with dual vocational education and training (VET) to tertiary-educated workers with academic education. The authors argue that, due to structural differences in training methodology and content, secondary-educated workers with VET degrees have knowledge that tertiary academically educated workers do not have. Design/methodology/approach The authors use data from a large employer-employee data set: the Swiss Earnings Structure Survey. The authors estimate ordinary least squares and fixed effects panel-data models to identify such “reverse” spillover effects. Moreover, the authors consider the endogenous workforce composition. Findings The authors find that tertiary-educated workers have higher productivity when working together with secondary-educated workers with VET degrees. The instrumental variable estimations support this finding. The functional form of the reverse spillover effect is inverted-U-shaped. This means that at first the reverse spillover effect from an additional secondary-educated worker is positive but diminishing. Research limitations/implications The results imply that firms need to combine different types of workers because their different kinds of knowledge produce spillover effects and thereby lead to overall higher productivity. Originality/value The traditional view of spillover effects assumes that tertiary-educated workers create spillover effects toward secondary-educated workers. However, the authors show that workers who differ in their type of education (academic vs vocational) may also create reverse spillover effects.

[1]  P. Sloane,et al.  Human Capital Spillovers within the Workplace: Evidence for Great Britain , 2003 .

[2]  David Card The Causal Effect of Education on Learning , 1999 .

[3]  G. Peri,et al.  Identifying Human Capital Externalities. Theory with Applications , 2006 .

[4]  S. Kirby,et al.  The external returns to education: UK evidence using repeated cross-sections , 2008 .

[5]  James E. Rauch,et al.  Productivity Gains from Geographic Concentration of Human Capital: Evidence from the Cities , 1991 .

[6]  E. Moretti Workers' Education, Spillovers, and Productivity: Evidence from Plant-Level Production Functions , 2004 .

[7]  Jim Y. Jin,et al.  Firm-level social returns to education , 2004, SSRN Electronic Journal.

[8]  J. Zweimüller,et al.  The Demand for Social Insurance: Does Culture Matter? , 2011 .

[9]  Brent R. Moulton An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit , 1990 .

[10]  A. Wirz Private returns to education versus education spill-over effects , 2008 .

[11]  Boyan Jovanovic,et al.  The Growth and Diffusion of Knowledge , 1989 .

[12]  J. Mincer Schooling, Experience, and Earnings , 1976 .

[13]  K. Axhausen,et al.  Destination choice for relocating firms: A discrete choice model for the St. Gallen region, Switzerland* , 2011 .

[14]  R. Maysami,et al.  Lucas type external effects of human capital: strong evidence using microdata , 2004 .

[15]  Philippe Aghion,et al.  Appropriate growth policy: a unifying framework , 2006 .

[16]  J. Angrist,et al.  Journal of Economic Perspectives—Volume 15, Number 4—Fall 2001—Pages 69–85 Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments , 2022 .