Research Note - Comparing IT Workers' Compensation Across Country Contexts: Demographic, Human Capital, and Institutional Factors

As the IT workforce becomes global, it is increasingly important to understand the factors affecting IT workers' compensation in labor markets distributed across the globe. Ang et al. (2002) published the first in-depth analysis of compensation for IT professionals juxtaposing human capital endowment (education and experience) and institutional determinants (firm's size, industry, and sector) of compensation in the Singaporean economy. In this paper, we explore the influence of particular national economies on IT workers' compensation. We draw on research into the roots of wage differentials in labor economics and build on the Ang et al. research to present a multilevel analysis of IT workers' compensation in the United States, analyzing the U.S. Bureau of Labor Statistics' Current Population Survey (CPS) data for 1997, 2001, and 2003. We find that, while institutional differences in Singapore mattered only in conjunction with individual factors, in the U.S. institutional differences had a direct effect on IT workers' wages. As tightness of IT labor supply decreased in the United States in the early 2000s, the influence of a firm's size on wages became more pronounced. Also, female IT workers and workers without a college degree fared worse than their male and college-educated counterparts as the IT job market slowed down. We suggest that factors such as presence of job search friction, diversity in the educational system, geographical differences in cost of living, labor mobility, and shortages in IT labor supply vis-a-vis demand help explain the differences among countries. We conclude by outlining the implications of these findings for IT workers, firms, and policy makers.

[1]  Ray Bert,et al.  Book Review: \IThe World Is Flat: A Brief History of the Twenty-First Century\N by Thomas L. Friedman. New York: Farrar, Straus and Giroux, 2005 , 2006 .

[2]  Benjamin Yeo,et al.  The influence of environmental context on women in the IT workforce , 2005, SIGMIS CPR '05.

[3]  J. Gill Hierarchical Linear Models , 2005 .

[4]  Dale T. Mortensen,et al.  Wage Dispersion: Why Are Similar Workers Paid Differently? , 2003 .

[5]  Soon Ang,et al.  Human Capital and Institutional Determinants of Information Technology Compensation: Modeling Multilevel and Cross-Level Interactions , 2002, Manag. Sci..

[6]  Erkan Erdil,et al.  A comparative analysis of inter-industry wage differentials: industrialized versus developing countries , 2001 .

[7]  Lilach Nachum Economic Geography and the Location of TNCs: Financial and Professional Service FDI to the USA , 2000 .

[8]  Rajiv D. Banker,et al.  Executive Compensation in the Information Technology Industry , 2000 .

[9]  Jane Osburn Interindustry Wage Differentials: Patterns and Possible Sources , 2000 .

[10]  J. Liebeskind Ownership, Incentives, and Control in New Biotechnology Firms , 2000 .

[11]  Rui Baptista,et al.  A comparison of clustering dynamics in the US and UK computer industries , 1999 .

[12]  H. Hoynes The Employment, Earnings, and Income of Less Skilled Workers Over the Business Cycle , 1999 .

[13]  Jean S.K. Lee,et al.  Human Resource Policies for Women--A Study in Singapore. , 1999 .

[14]  Francine D. Blau,et al.  Institutions and laws in the labor market , 1999 .

[15]  J. Hagedoorn,et al.  Embedded Patterns of International Alliance Formation , 1998 .

[16]  Dale T. Mortensen,et al.  Wage Differentials, Employer Size, and Unemployment , 1998 .

[17]  J. Schaffner,et al.  Premiums to employment in larger establishments: evidence from Peru , 1998 .

[18]  James S. Wallace,et al.  Computer Industry Executives: An Analysis of the New Barons' Compensation , 1997, Inf. Syst. Res..

[19]  D. Hofmann An Overview of the Logic and Rationale of Hierarchical Linear Models , 1997 .

[20]  L. Broersma,et al.  Job Creation and Job Destruction by Small Firms: An Empirical Investigation for the Dutch Manufacturing Sector , 1997 .

[21]  Soon Ang,et al.  Employment outsourcing in information systems , 1996, CACM.

[22]  Gedaliahu H. Harel,et al.  Gender-Based Wage and Promotion Discrimination in Israeli High-Technology Firms: Do Unions Make a Difference? , 1995 .

[23]  H. Holzer,et al.  Industrial Shifts, Skills Levels, and the Labor Market for White and Black Males , 1991 .

[24]  Gary W. Loveman,et al.  The re-emergence of small-scale production: An international comparison , 1991 .

[25]  J. Mincer Human Capital, Technology, and the Wage Structure: What Do Time Series Show? , 1991 .

[26]  C. A. Pissarides,et al.  Equilibrium Unemployment Theory , 1990 .

[27]  Kevin M. Murphy,et al.  Efficiency Wages Reconsidered: Theory and Evidence , 1990 .

[28]  Anne Elizabeth Preston,et al.  The Nonprofit Worker in a For-Profit World , 1989, Journal of Labor Economics.

[29]  Gary S. Becker,et al.  Human Capital, Effort, and the Sexual Division of Labor , 1985, Journal of Labor Economics.

[30]  Sherwin Rosen,et al.  Specialization and Human Capital , 1983, Journal of Labor Economics.

[31]  W. Oi,et al.  The Fixed Employment Costs of Specialized Labor , 1983 .

[32]  Wesley S Mellow,et al.  Employer Size and Wages , 1982 .

[33]  Solomon W. Polachek,et al.  Family Investments in Human Capital: Earnings of Women , 1974, Journal of Political Economy.

[34]  R. Lester Pay Differentials by Size of Establishment , 1967 .