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In this handbook of labor economics chapter we examine the relationship between Human Resource Management (HRM) and productivity. HRM includes incentive pay (individual and group) as well as many non-pay aspects of the employment relationship such as matching (hiring and firing) and work organization (e.g. teams, autonomy). We place HRM more generally within the literature on management practices and productivity. We start with some facts on levels and trends of both HRM and productivity and the main economic theories of HRM. We look at some of the determinants of HRM – risk, competition, ownership and regulation. The largest section analyses the impact of HRM on productivity emphasizing issues of methodology, data and results (from micro-econometric studies). We conclude briefly with suggestions of avenues for future frontier work.

Zonder onderwerpscode: economie

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We develop a new dataset using UNESCO source materials on the location of nearly 15,000 universities in about 1,500 regions across 78 countries, some dating back to the 11th Century. We estimate fixed effects models at the sub-national level between 1950 and 2010 and find that increases in the number of universities are positively associated with future growth of GDP per capita (and this relationship is robust to controlling for a host of observables, as well as unobserved regional trends). Our estimates imply that doubling the number of universities per capita is associated with 4% higher future GDP per capita. Furthermore, there appear to be positive spillover effects from universities to geographically close neighboring regions. We show that the relationship between growth and universities is not simply driven by the direct expenditures of the university, its staff and students. Part of the effect of universities on growth is mediated through an increased supply of human capital and greater innovation (although the magnitudes are not large). We find that within countries, higher historical university presence is associated with stronger pro-democratic attitudes.

Zonder onderwerpscode: economie

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We find that institutional ownership in publicly traded companies is associated with more innovation (measured by cite-weighted patents). To explore the mechanism through which this link arises, we build a model that nests the lazy-manager hypothesis with career-concerns, where institutional owners increase managerial incentives to innovate by reducing the career risk of risky projects. The data supports the career concerns model. First, whereas the lazy manager hypothesis predicts a substitution effect between institutional ownership and product market competition (and managerial entrenchment generally), the career-concern model allows for complementarity. Empirically, we reject substitution effects. Second, CEOs are less likely to be fired in the face of profit downturns when institutional ownership is higher. Finally, using instrumental variables, policy changes and disaggregating by type of owner we find that the effect of institutions on innovation does not appear to be due to endogenous selection.

Zonder onderwerpscode: economie

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OECD labor markets have become more "polarized" with employment in the middle of the skill distribution falling relative to the top and (in recent years) also the bottom of the skill distribution. We test the hypothesis of Autor, Levy, and Murnane (2003) that this is partly due to information and communication technologies (ICT) complementing the analytical tasks primarily performed by highly educated workers and substituting for routine tasks generally performed by middle educated workers (with little effect on low educated workers performing manual non-routine tasks). Using industry level data on the US, Japan, and nine European countries 1980-2004 we find evidence consistent with ICT-based polarization. Industries with faster growth of ICT had greater increases in relative demand for high educated workers and bigger falls in relative demand for middle educated workers. Trade openness is also associated with polarization, but this is not robust to controls for technology (like R&D). Technologies can account for up to a quarter of the growth in demand for the college educated in the quarter century since 1980.

Zonder onderwerpscode: economie