Disentangling the effects of process and product innovation on cost and demand

Economics of Innovation and New Technology

Volumn 26, Issue 1-2, 2017, Pages 150-167

  Jaumandreu, Jordi ^a,b   Mairesse, Jacques ^c,d  

^a USA   (United States)

^b CEPR   (United Kingdom)

^c CREST   (France)

^d MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

process innovation; Product innovation; R D

Indexed keywords

EID: 84982252256     PISSN: 10438599     EISSN: 14768364     Source Type: Journal    
DOI: 10.1080/10438599.2016.1205276     Document Type: Article

References (16)

1. Crepon, B., E., Duguet, and J., Mairesse. 1998. “Research, Innovation, and Productivity:An Econometric Analysis at the Firm Level.” Economics of Innovation and new Technology 7:115–158. doi:10.1080/10438599800000031
2. De Loecker, J. 2011. “Product Differentiation, Multiproduct Firms, and Estimating the Impact of Trade Liberalization on Productivity.” Econometrica 79:1407–1451. doi:10.3982/ECTA7617
3. Doraszelski, U., and J., Jaumandreu. 2013. “R&D and Productivity:Estimating Endogenous Productivity.” Review of Economic Studies 80:1338–1383. doi:10.1093/restud/rdt011
4. Griffith, R., R., Harrison, J., Mairesse, and B., Peters. 2006. “Innovation and Productivity across Four European Countries.” Oxford Review of Economic Policy 22:483–498. doi:10.1093/oxrep/grj028
5. Hall, B. H. 2011. “Innovation and Productivity.” Nordic Economic Policy Review 2:167–204.
6. Harrison, R., J., Jaumandreu, J., Mairesse, and B., Peters. 2014. “Does Innovation Stimulate Employment? A Firm-level Analysis using Comparable Micro Data on Four European Countries.” International Journal of Industrial Organization 35:29–43. doi:10.1016/j.ijindorg.2014.06.001
7. Jaumandreu, J., and J., Mairesse. 2010. “Innovation and Welfare:Results from Joint Estimation of Production and Demand Functions.” Working Paper no. 16221, NEBR, Cambridge.
8. Jaumandreu, J., and S., Lin. 2016. “Innovation and Prices.” Mimeo, Boston University.
9. Klette, J., and Z., Griliches. 1996. “The Inconsistency of Common Scale Estimators when Output Prices are Unobserved and Endogenous.” Journal of Applied Econometrics 11:343–361. doi:10.1002/(SICI)1099-1255(199607)11:4<343::AID-JAE404>3.0.CO;2-4
10. Mairesse, J., and J., Jaumandreu. 2005. “Panel-data Estimates of the Production Function and the Revenue Function:What Difference Does it Make?” The Scandinavian Journal of Economics 107:651–672. doi:10.1111/j.1467-9442.2005.00431.x
11. Mairesse, J., and P., Mohnen. 2010. “Using Innovation Surveys for Econometric Analysis.” B. Hall, and N. Rosenberg eds., Handbook of the Economics of Innovation, Burlington Academic Press, Chapter 26, 1129–1155.
12. Peters, B., M., Roberts, V. A., Vuong, and H., Fryges. 2015. “Estimating Dynamic R&D Choice:An Analysis of Cost and Long-Run Benefits.” Mimeo, Penn State University.
13. Peters, B., M., Roberts, and V. A., Vuong. 2015. “Dynamic R&D Choice and the Impact of Firms' Financial Strength.” Economics of Innovation and New Technology (this issue). doi:10.1080/10438599.2016.1202516.
14. Petrin, A., and F., Warzynski. 2012. “The Impact of R&D on Quality, Productivity and Welfare.” Mimeo, University of Minnesota.
15. Rivers, D., and Q., Vuong. 2002. “Model Selection Tests for Nonlinear Dynamic Models.” Econometrics Journal 5:1–39. doi:10.1111/1368-423X.t01-1-00071
16. Wooldridge, J., 2010. Econometric Analysis of Cross-section and Panel Data. Cambridge, MA:MIT Press.