Table A1.- Principal values of the sample depending on Province s classification.
Employment and age offirms in 1990.
|
Employment |
Age | |||||
|
All firms |
Survived |
Disappeared |
All firms |
Survived |
Disappeared | |
|
PROVINCE 1 | ||||||
|
Mean |
275.8 |
405.8 |
118.5 |
23.6 |
25.9 |
20.8 |
|
Median |
36.0 |
100.5 |
24.0 |
16.0 |
19.0 |
11.0 |
|
Mode |
11.0 |
11.0 |
12.0 |
5.0 |
4.0 |
5.0 |
|
Percentile 25 |
18.0 |
21.0 |
15.0 |
6.0 |
9.0 |
5.0 |
|
Percentile 50 |
36.0 |
100.5 |
24.0 |
16.0 |
19.0 |
11.0 |
|
Percentile 75 |
279.5 |
362.25 |
117.0 |
30.5 |
36.0 |
27.0 |
|
Skewness |
15.4 |
11.7 |
3.2 |
1.7 |
1.4 |
2.1 |
|
N° observations |
369 |
202 |
167 |
369 |
202 |
167 |
|
PROVINCE 2 | ||||||
|
Mean |
278.0 |
307.2 |
93.7 |
21.2 |
22.6 |
12.08 |
|
Median |
42.0 |
46.0 |
26.0 |
16.0 |
17.5 |
8.0 |
|
Mode |
11.0 |
11.0 |
16.0 |
4.0 |
4.0 |
8.0 |
|
Percentile 25 |
18.0 |
18.75 |
17.0 |
6.0 |
6.0 |
5.0 |
|
Percentile 50 |
42.0 |
46.0 |
26.0 |
16.0 |
17.5 |
8.0 |
|
Percentile 75 |
267.0 |
300.25 |
90.0 |
31.0 |
32.25 |
16.5 |
|
5.1 |
4.8 |
3.5 |
1.7 |
1.6 |
1.4 | |
|
N° observations |
271 |
234 |
37 |
271 |
234 |
37 |
|
PROVINCE 3 | ||||||
|
Mean |
285.2 |
365.8 |
113.1 |
19.6 |
20.6 |
17.6 |
|
Median |
35.0 |
38.5 |
29.5 |
14.5 |
17.0 |
11.0 |
|
Mode |
13.0 |
13.0 |
12.0 |
3.0 |
4.0 |
3.0 |
|
Percentile 25 |
18.0 |
19.0 |
17.0 |
6.25 |
8.0 |
5.0 |
|
Percentile 50 |
35.0 |
38.5 |
29.5 |
14.5 |
17.0 |
11.0 |
|
Percentile 75 |
171.75 |
201.0 |
135.75 |
25.75 |
27.0 |
20.5 |
|
9.9 |
8.2 |
3.7 |
2.3 |
2.0 |
2.8 | |
|
N° observations |
276 |
188 |
88 |
276 |
188 |
88 |
|
PROVINCE 4 | ||||||
|
Mean |
186.4 |
209.8 |
87.1 |
21.6 |
20.9 |
24.4 |
|
Median |
33.0 |
35.0 |
29.5 |
14.0 |
15.0 |
13.0 |
|
Mode |
10.0 |
13.0 |
10.0 |
8.0 |
8.0 |
9.0 |
|
Percentile 25 |
19.0 |
20.0 |
12.0 |
7.0 |
7.0 |
6.8 |
|
Percentile 50 |
33.0 |
35.0 |
29.5 |
14.0 |
15.0 |
13.0 |
|
Percentile 75 |
256.0 |
284.0 |
78.3 |
27.0 |
27.0 |
32.5 |
17
More intriguing information
1. The Shepherd Sinfonia2. The name is absent
3. EU Preferential Partners in Search of New Policy Strategies for Agriculture: The Case of Citrus Sector in Trinidad and Tobago
4. Are combination forecasts of S&P 500 volatility statistically superior?
5. Initial Public Offerings and Venture Capital in Germany
6. The name is absent
7. CREDIT SCORING, LOAN PRICING, AND FARM BUSINESS PERFORMANCE
8. AN EMPIRICAL INVESTIGATION OF THE PRODUCTION EFFECTS OF ADOPTING GM SEED TECHNOLOGY: THE CASE OF FARMERS IN ARGENTINA
9. EXPANDING HIGHER EDUCATION IN THE U.K: FROM ‘SYSTEM SLOWDOWN’ TO ‘SYSTEM ACCELERATION’
10. Rent Dissipation in Chartered Recreational Fishing: Inside the Black Box