EMPLOYMENT PROTECTION,TECHNOLOGY CHOICE,AND WORKER ALLOCATION

We show empirically that high‐risk sectors, which contribute strongly to aggregate productivity growth, are relatively small and have relatively low productivity growth in countries with strict employment protection legislation (EPL). To understand these findings, we develop a two‐sector matching model where firms endogenously choose between a safe technology and a risky technology. For firms that have chosen the risky technology, EPL raises the costs of shedding workers in case they receive a low productivity draw. According to our calibrated model, high‐EPL countries benefit less from the arrival of new risky technologies than low‐EPL countries. Parameters estimated through reduced‐form regressions of employment and productivity on exit costs, riskiness, and in particular their interaction are qualitatively similar for actual cross‐country data and simulated model data. Our model is consistent with the slowdown in productivity in the European Union relative to the United States since the mid‐1990s.     

Sectoral Productivity in the United States: Recent Developments and the Role of IT

Abstract. This paper introduces new estimates of recent productivity developments in the United States, using an appropriate theoretical framework for aggregating industry multi-factor productivity (MFP) to sectors and the total economy. Our work sheds light on the sources of the continued strong performance of US productivity since 2000. We find that the major sectoral players in the late 1990s pickup were not contributors to the more recent surge in productivity. Rather, striking gains in MFP in the finance and business service sector, a resurgence in MFP growth in the industrial sector, and an end to drops elsewhere more than account for the aggregate acceleration in productivity in recent years. Further, some evidence is found for a link between IT intensity and the recent productivity acceleration.     

Productivity Dynamics: U.S. Manufacturing Plants, 1972–1986

This paper presents an analysis of the dynamics of total factor productivity measures for large plants in SICs 35, 36 and 38. Several TFP measures, derived from production functions and Solow type residuals, are computed and their behavior over time is compared, using non-parametric tools. Aggregate TFP, which has grown substantially over the time period, is compared with average plant level TFP, which has declined or remained flat. Using transition matrices, the persistence of plant productivity is examined, and it is shown how the transition probabilities vary by industry, plant age, and other characteristics.     

Adoption Of Advanced Manufacturing Technology And Firm Performance In The Netherlands

This paper presents characteristics of firms that employ advanced manufacturing technology (AMT), explores the pattern of adoption of such technology, and traces the effects of adoption on the evolution of employment and productivity. The study uses linked firm-level data on production, factor inputs and on advanced manufacturing technology. It is found that the percentage of firms that employ advanced technology increases with higher labor productivity, higher export-sales ratios, and especially larger firm sire. Corrected for interactions, however, only initial size and the initial capital-labor ratio aid in predicting adoption of AMT. Conditional on adoption of AMT it is seen that intensity of advanced technology inputs decrease with firm sire and with labar productivity. Finally, firms which employed AMT in 1992 show higher average growth rates of (toral factor) productivity and employment between 1985 and 1991.     

Downsizing and productivity growth: Myth or reality?

The conventional wisdom is that the rising productivity in the U.S. manufacturing sector in the 1980s has been driven by the apparently pervasive downsizing over this period. Aggregate evidence clearly shows falling employment accompanying the rise in productivity. In this paper, we examine the microeconomic evidence using the plant level data from the Longitudinal Research Database (LRD). In contrast to the conventional wisdom, we find that plants that increased employment as well as productivity contribute almost as much to overall productivity growth in the 1980s as the plants that increased productivity at the expense of employment. Further, there are striking differences by sector (defined by industry, size, region, wages, and ownership type) in the allocation of plants in terms of whether they upsize or downsize and whether they increase or decrease productivity. Nevertheless, in spite of the striking differences across sectors defined in a variety of ways, most of the variance of productivity and employment growth is accounted for by idiosyncratic factors.     

CDM using a cross-country micro moments database†

ABSTRACT

This note starts with a retrospective view of the CDM model [Crépon, Bruno, Emmanuel Duguet, and Jacques Mairesse. 1998. “Research, Innovation and Productivity: An Econometric Analysis at the Firm Level.” Economics of Innovation and New Technology 7 (2): 115–158.] as an econometric framework for studying innovation and growth. A narrative interpretation of CDM describes the chain from innovative activity at firms to increases in welfare and makes links to the policy environment. Filling in missing pieces of the innovation to productivity puzzle has a heavy data burden. The paper makes use of the micro moments database (MMD) that allows observing micro-level behavior and macro-level impacts of innovation and production in a large selection of European countries. Two examples are given of research using the MMD. First, we estimate a simplified system of innovation and production equations that can be applied to average firm choices and outcomes, as well as to industry or aggregate outcomes. We find that innovative activity contributes to aggregate productivity even while the average effect at the firm level is insignificant. Next, a cross-country exploration is made that shows heightened productivity effects of combined use by firms of various enterprise-level information and communications technologies.     

Firm Dynamics and Innovation in the Netherlands A comment on Baumol

There is a growing consensus that entrepreneurship in the Schumpeterian sense plays a significant role in generating sustained rates of productivity growth. Empirical evidence for the role is scarce, owing to the difficulty in finding appropriate measures for such entrepreneurship. This note shows new ways to integrate theory and evidence and reviews some recent empirical evidence on cross-country differences in innovative activity.