Table 4. OLS Estimates of labor productivity growth rates (in percentage points).
Dependent variable |
Any innovation |
_______Product_______ |
_______Process_______ | |||
Coefficient |
Robust |
Coefficient |
Robust |
Coefficient |
Robust | |
Innovative firms_______ |
15.12** |
7.094 |
2.588 |
5.954 |
-Ш- |
6.006 |
∆2 ln K- *Innov 2 L |
0.2587*** |
0.008 |
7___⅛⅛⅛ 0.292 |
0.009 |
7 ~ Ш |
0.009 |
. K. . ∆ 2 ln —— *nonInnov 2 L ~ Lit |
0.01 |
0.015 |
0.069 |
0.011 |
0.019 |
0.012 |
Age* Innov__________ |
-0.283*** |
0.069 |
7__⅝*⅛ -0.286 |
0.085 |
7 " _ ⅝*⅛ -0.366 |
0.078 |
Age*non Innov______ |
0.091 |
0.125 |
-0.109 . |
0.084 |
0.066 |
0.091 |
Temporary *Innov_____ |
-0.095*** |
0.035 |
-0.073* |
0.041 |
7 _ ⅝*⅛ -0.106 |
0.039 |
Temporary *non_Innov |
-0.199*** |
0.046 |
--7—----_ ⅜⅜⅜---- -0.213 |
0.037 |
---7______⅜⅜⅜----- -0.197 |
0.039 |
Large_______________ |
Σ $ -1.94 |
1.113 |
-1.894* |
1.108 |
-1.081 |
1.096 |
Medium___________ |
* — ,*** -5.74 |
0.876 |
--Σ—_ _-⅜⅜⅜---- -5.965 |
0.871 |
________⅜⅜⅜---- -4.970 |
0.864 |
Group______________ |
___⅛⅛⅛ 2.86_______ |
0.680 |
7 __⅛⅛⅛ 3.199 |
0.679 |
Z .„*** 2.48 |
0.675 |
Constant_____________ |
2.61 |
10.19 |
14.019 |
8.799 |
3.637 |
9.216 |
Industry dummies_____ |
yes |
yes |
yes | |||
Region dummies_____ |
yes |
yes |
yes | |||
Wald test for equality o: |
coefficients ' |
between Innovative and non Innovative_________________ | ||||
Capital-lab or ratio |
[0.000] |
[0.000] |
[0.000] | |||
Age______________ |
[0.0085] |
[0.138] |
[0.0003] | |||
Share of temporary |
[0.069] |
[0.011] |
[0.0946] | |||
Chow test F__________ |
[0.000] |
[0.000] |
[0.000] | |||
Adj R2_______________ |
0.154 |
0.157 |
0.171 | |||
N____________ |
7977 |
7977 |
7977 |
Note: * 10%, ** 5%, *** 1% level of significance, p-values in brackets. Size, areas, industry and group dummies
are included in all regressions.
Table 4 shows the OLS coefficients and robust standard errors of the estimates of labor productivity
growth rates (two-year rates) on our variables of interest, interacted with the group dummies.
“Innov” refers to the group of firms introducing an innovation in 2001-2003, while “non_Innov”
refers to the group of the non innovative firms. Column 1 and 2 refer to firms which have
introduced any - hence either product or process - innovation. Column 3 and 4 refer to firms which
have introduced product innovation only and column 5 and 6 refer to firms having introduced
process innovation only. All the regressions include standard control variables such as size,
geographical areas, industry dummies, as well as the dummy that takes a value of one for firms
17
More intriguing information
1. Conditions for learning: partnerships for engaging secondary pupils with contemporary art.2. A Review of Kuhnian and Lakatosian “Explanations” in Economics
3. ESTIMATION OF EFFICIENT REGRESSION MODELS FOR APPLIED AGRICULTURAL ECONOMICS RESEARCH
4. Luce Irigaray and divine matter
5. Publication of Foreign Exchange Statistics by the Central Bank of Chile
6. Review of “The Hesitant Hand: Taming Self-Interest in the History of Economic Ideas”
7. Changing spatial planning systems and the role of the regional government level; Comparing the Netherlands, Flanders and England
8. Population ageing, taxation, pensions and health costs, CHERE Working Paper 2007/10
9. The name is absent
10. Auctions in an outcome-based payment scheme to reward ecological services in agriculture – Conception, implementation and results