Table Sl (cont.)
---, . WPP
-Ludustncs: --------------------:--------~----
T, j . 7τ÷--/ p v z-value Means
Independent variables: up ∣ (Л
10-19 employees (ы) |
-0.008 |
-0.52 |
0.211 |
20-49 employees ft.υ |
0.161 |
9.43 |
0.194 |
50-199 employees (t.υ |
0.276 |
16.36 |
0.230 |
200+ employees (t.υ |
0.511 |
21.52 |
0.061 |
In Iabom productivity (t.υ |
0.114 |
16.80 |
4.212 |
Intangible assets (t.υ >0 |
0.087 |
5.45 |
0.144 |
In age (t.υ |
0.044 |
8.71 |
2.609 |
North East |
-0.112 |
-5.24 |
0.036 |
Yorkshire-Humberside |
0.055 |
2.08 |
0.044 |
North West |
0.059 |
2.49 |
0.061 |
West Midlands |
0.065 |
2.15 |
0.038 |
East Midlands |
-0.032 |
-1.52 |
0.055 |
South West |
-0.003 |
-0.15 |
0.078 |
Eastern England |
0.014 |
0.74 |
0.107 |
London |
0.024 |
1.70 |
0.298 |
Scotland |
-0.076 |
-3.52 |
0.043 |
Wales |
-0.026 |
-0.90 |
0.028 |
Northern Ireland |
-0.170 |
-3.07 |
0.002 |
No. of Obs. |
8375 |
CRR |
__________MET__________ | ||||
др/ дх |
z-value |
Means |
др/ дх |
z-value |
Means |
-0.061 |
-2.76 |
0.121 |
0.110 |
6.40 |
0.232 |
0.133 |
10.86 |
0.211 |
0.321 |
21.26 |
0.187 |
0.251 |
19.69 |
0.347 |
0.481 |
38.81 |
0.261 |
0.250 |
26.72 |
0.179 |
0.480 |
47.57 |
0.053 |
0.025 |
3.49 |
4.363 |
0.160 |
17.57 |
4.040 |
0.100 |
7.12 |
0.175 |
0.280 |
16.38 |
0.120 |
0.024 |
3.98 |
2.853 |
0.047 |
6.27 |
2.927 |
0.127 |
4.57 |
0.015 |
-0.164 |
-4.80 |
0.034 |
0.126 |
9.31 |
0.097 |
0.019 |
0.71 |
0.081 |
0.092 |
5.76 |
0.152 |
-0.103 |
-4.06 |
0.085 |
0.027 |
1.30 |
0.093 |
0.096 |
4.50 |
0.180 |
0.091 |
5.05 |
0.068 |
-0.204 |
-8.20 |
0.078 |
0.017 |
0.73 |
0.080 |
-0.207 |
-8.20 |
0.076 |
0.099 |
5.80 |
0.147 |
-0.169 |
-7.48 |
0.123 |
0.010 |
0.53 |
0.150 |
-0.121 |
-5.16 |
0.104 |
0.058 |
1.99 |
0.030 |
0.083 |
2.54 |
0.043 |
0.117 |
6.54 |
0.033 |
-0.246 |
-8.24 |
0.041 |
0.157 |
8.66 |
0.008 |
-0.347 |
-4.86 |
0.003 |
5551 |
8633 |
43
More intriguing information
1. Sex-gender-sexuality: how sex, gender, and sexuality constellations are constituted in secondary schools2. TINKERING WITH VALUATION ESTIMATES: IS THERE A FUTURE FOR WILLINGNESS TO ACCEPT MEASURES?
3. QUEST II. A Multi-Country Business Cycle and Growth Model
4. An Empirical Analysis of the Curvature Factor of the Term Structure of Interest Rates
5. Naïve Bayes vs. Decision Trees vs. Neural Networks in the Classification of Training Web Pages
6. Cross-Country Evidence on the Link between the Level of Infrastructure and Capital Inflows
7. Research Design, as Independent of Methods
8. The name is absent
9. The name is absent
10. Perceived Market Risks and Strategic Risk Management of Food Manufactures: Empirical Results from the German Brewing Industry