Abstract
We focus on four two-digit manufacturing industries that are known for their high patenting activity. We then use Principal Components Analysis to generate a firm- and year-specific 'innovativeness' index by extracting the common variance in a firm's patenting and R&D expenditure histories. To begin with, we explore the heterogeneity of firms by using semi-parametric quantile regression. We then move on to parametric regressions that include a weighted least squares (WLS) analysis, which explicitly takes into account the different job-creating potential of firms of different sizes. As a result, we investigate the effect of innovation on total number of jobs, whereas previous studies have focused on the effect of innovation on firm behavior. Indeed, previous studies have typically taken the firm as the unit of analysis, implicitly weighting each firm equally according to the principle of 'one firm equals one observation'. Our results suggest that firm-level innovative activity leads to employment creation that may have been underestimated in previous studies.
| Original language | English |
|---|---|
| Pages (from-to) | 255-283 |
| Number of pages | 29 |
| Journal | Journal of Evolutionary Economics |
| Volume | 21 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2011 May |
| Externally published | Yes |
Keywords
- Firm growth
- Innovation
- Quantile regression
- Technological unemployment
- Weighted least squares
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Economics and Econometrics
