Van Anh Vuong
University of Cologne
Faculty of Management, Economics
and Social Sciences
Vogelsanger Strasse 321A
NBER Working Papers and Publications
|February 2016||Dynamic R&D Choice and the Impact of the Firm's Financial Strength|
with Bettina Peters, Mark J. Roberts: 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...
|August 2013||Estimating Dynamic R&D Demand: An Analysis of Costs and Long-Run Benefits|
with Bettina Peters, Mark J. Roberts, 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.