Sector Switching: An Unexplored Dimension of Firm Dynamics in Developing Countries



Table E: COMPARISON BETWEEN INTRA-MANUFACTURING
and Service Sector Switchers

(1)

(2)

(3)

(4)

(5)          (6)

Firm specific variables

Relative efficiency (weighted)

Firm size (log)

Firm age (log)

State owned enterprise (SOE)

Foreign owned firm (Multinational)

-44.7841**

(2.44)

-45.4567**

(2.44)

-6.5822
(0.74)
-0.1186***
(7.16)
0.0132
(0.43)

-6.2422

(1.16)

-0.1235***

(7.18)
0.0139
(0.43)

-0.9871    -1.1072

(0.12)      (0.13)

-0.1136*** -0.1196***

(6.73)      (6.81)

0.0078    0.0065

(0.25)      (0.20)

0.0394    0.0788

(0.37)      (0.72)

-0.2253*** -0.2330***

(3.46)      (3.53)

Province dummies

Yes

Yes

Yes

Yes

Yes      Yes

Sector dummies________________

Yes

Yes

Yes

Yes

Yes______Yes

Observations

1,076

1,045

1,076

1,045

1,076      1,045

Pseudo R-squared________________

0.16

0.17

0.19

0.21

0.20       0.22

Note: Dependent variable: Switching to the tertiary sector (SER). Pooled probit estimates - marginal effects. All estimations included
a constant term and time dummies. t-values (reported in parenthesis) are heteroskedasticity robust. *, **, *** indicate significance at a
10%, 5% and 1% level, respectively.

47



More intriguing information

1. ROBUST CLASSIFICATION WITH CONTEXT-SENSITIVE FEATURES
2. American trade policy towards Sub Saharan Africa –- a meta analysis of AGOA
3. Dynamiques des Entreprises Agroalimentaires (EAA) du Languedoc-Roussillon : évolutions 1998-2003. Programme de recherche PSDR 2001-2006 financé par l'Inra et la Région Languedoc-Roussillon
4. Transfer from primary school to secondary school
5. The name is absent
6. How we might be able to understand the brain
7. An Attempt to 2
8. Insecure Property Rights and Growth: The Roles of Appropriation Costs, Wealth Effects, and Heterogeneity
9. Distribution of aggregate income in Portugal from 1995 to 2000 within a SAM (Social Accounting Matrix) framework. Modeling the household sector
10. The name is absent