Experience, Innovation and Productivity - Empirical Evidence from Italy's Slowdown



Table 4. OLS Estimates of labor productivity growth rates (in percentage points).

Dependent variable
K
2ln —
2 L
L
it

Any innovation

_______Product_______

_______Process_______

Coefficient

Robust
Std. Err.

Coefficient

Robust
Std. Err.

Coefficient

Robust
Std. Err.

Innovative firms_______

15.12**

7.094

2.588

5.954

-Ш-
17.24

6.006

2 ln K- *Innov

2 L
L
it

0.2587***

0.008

7___⅛⅛⅛

0.292

0.009

7 ~ Ш
0.304

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. Innovation and business performance - a provisional multi-regional analysis
2. Can genetic algorithms explain experimental anomalies? An application to common property resources
3. Dendritic Inhibition Enhances Neural Coding Properties
4. The name is absent
5. The name is absent
6. The name is absent
7. A Classical Probabilistic Computer Model of Consciousness
8. AGRICULTURAL TRADE LIBERALIZATION UNDER NAFTA: REPORTING ON THE REPORT CARD
9. Altruism and fairness in a public pension system
10. Long-Term Capital Movements
11. Synthesis and biological activity of α-galactosyl ceramide KRN7000 and galactosyl (α1→2) galactosyl ceramide
12. Neighborhood Effects, Public Housing and Unemployment in France
13. EXECUTIVE SUMMARY
14. Voting by Committees under Constraints
15. Language discrimination by human newborns and by cotton-top tamarin monkeys
16. Benefits of travel time savings for freight transportation : beyond the costs
17. 03-01 "Read My Lips: More New Tax Cuts - The Distributional Impacts of Repealing Dividend Taxation"
18. FDI Implications of Recent European Court of Justice Decision on Corporation Tax Matters
19. Multifunctionality of Agriculture: An Inquiry Into the Complementarity Between Landscape Preservation and Food Security
20. The name is absent