Information about this author at RePEc
NBER Working Papers and Publications
|February 2016||Dynamic R&D Choice and the Impact of the Firm's Financial Strength|
with Mark J. Roberts, Van Anh Vuong: w22035
This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long- run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long run benefit of investing in R&D equals 6.6 percent of firm value. It ranges from 11.6 percent for firms in a strong financial position to 2.3 perc...
Published: Bettina Peters & Mark J. Roberts & Van Anh Vuong, 2017. "Dynamic R&D choice and the impact of the firm's financial strength," Economics of Innovation and New Technology, vol 26(1-2), pages 134-149. citation courtesy of
|August 2013||Estimating Dynamic R&D Demand: An Analysis of Costs and Long-Run Benefits|
with Mark J. Roberts, Van Anh Vuong, Helmut Fryges: w19374
This paper estimates a dynamic structural model of discrete R&D investment and quantifies its cost and long-run benefit for German manufacturing firms. The dynamic model incorporates linkages between the firm's R&D choice, product and process innovations, and future productivity and profits. The long- run payoff to R&D is measured as the proportional difference in expected firm value generated by the R&D investment. It increases firm value by 6.7 percent for the median firm in high-tech manufacturing industries but only 2.8 percent in low-tech industries. Simulations show that reductions in maintence costs of innovation significantly raise investment rates and productivity while reductions in startup costs have little effect.
Published: "Estimating Dynamic RD Demand: An Analysis of Costs and Long-Run Benefits", with Bettina Peters, Van Anh Vuong, and Helmut Fryges, Rand Journal of Economics, Vol. 48, No. 2 (Summer 2017), pp. 409-437
|August 2008||Does Innovation Stimulate Employment? A Firm-Level Analysis Using Comparable Micro-Data from Four European Countries|
with Rupert Harrison, Jordi Jaumandreu, Jacques Mairesse: w14216
This paper studies the impact of process and product innovations introduced by firms on employment growth in these firms. A simple model that relates employment growth to process innovations and to the growth of sales separately due to innovative and unchanged products is developed and estimated using comparable firm-level data from France, Germany, Spain and the UK. Results show that displacement effects induced by productivity growth in the production of old products are large, while those associated with process innovations, which are likely to be compensated by price decreases, appear to be small. The effects related to product innovations are, however, strong enough to overcompensate these displacement effects.
Published: Harrison, Rupert & Jaumandreu, Jordi & Mairesse, Jacques & Peters, Bettina, 2014. "Does innovation stimulate employment? A firm-level analysis using comparable micro-data from four European countries," International Journal of Industrial Organization, Elsevier, Elsevier, vol. 35(C), pages 29-43. citation courtesy of
|December 2006||Innovation and Productivity across Four European Countries|
with Rachel Griffith, Elena Huergo, Jacques Mairesse: w12722
This paper compares the role innovation plays in productivity across the four European countries France, Germany, Spain and the UK using firm-level data from the internationally harmonized Community Innovation Surveys (CIS3). Despite a considerable number of national firm-level studies analysing this relationship, cross-country comparisons using micro data are still rare. We apply a structural model that describes the link between R&D expenditure, innovation output and productivity (CDM model). Our econometric results suggest that overall the systems driving innovation and productivity are remarkably similar across these four countries, although we also find interesting differences, particularly in the variation in productivity that is associated with more or less innovative activities.
Published: Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity Across Four European Countries," Oxford Review of Economic Policy, Oxford University Press, vol. 22(4), pages 483-498, Winter. citation courtesy of