Table 2: Two-sample Kolmogorov-Smirnov tests on the distribution of TFP by various sub-groups a and industries, UK 1996-2004
Difference favourable to: |
Difference favourable to: |
Difference favourable to: |
Difference favourable to: |
Difference favourable to: | |||||||
Industry (SIC2003 group) |
All |
All non- |
All |
All never |
All foreign- |
UK-owned |
All foreign- |
UK-owned |
FO |
FO non- | |
Agriculture/Forestry/Fish (A/B) |
AGF |
-0.049 |
„ ___** 0.155 |
-0.049 |
0.154 |
-0.042 |
_ „ „ ** |
-0.006 |
0.075 |
„ _ _ „** -0.328 |
0.002 |
Food/Beverages/Tobacco (DA) |
FBT |
-0.001 |
0.241 |
-0.001 |
_ ___** 0.259 |
-0.002 |
„ _ _ „ |
-0.014 |
„ „ „ _ |
-0.029 |
_ _ _ ,** |
Textiles/Cloth/Leather (DB/DC) |
TCL |
-0.001 |
___** 0.252 |
-0.001 |
___** 0.267 |
-0.001 |
_ _ _ ** |
-0.005 |
. - ** |
-0.297 |
0.094 |
Wood products (DD) |
-0.004 |
0.312 |
-0.001 |
_ ___** 0.351 |
0.000 |
„ _ „ „ ** |
0.000 |
„ ___** 0.297 |
-0.182 |
0.610 | |
Paper/Printing (DE) |
WPP |
-0.004 |
„ ___** 0.255 |
-0.006 |
____** 0.273 |
-0.001 |
„ _ ,_ ** |
-0.030 |
0.023 |
-0.031 |
____** 0.275 |
Coke/Chemicals (DF/DG) |
-0.013 |
- „ „ * * |
-0.028 |
0.219** |
-0.023 |
„ _ _ „ ** |
-0.009 |
_ _ _ ** |
-0.001 |
_ ___** 0.187** | |
Rubber/Plastics (DH) |
CRR |
-0.005 |
. - ** |
-0.004 |
. . ** |
-0.006 |
_ - 0.207 |
-0.020 |
_ _ _ ** |
-0.098 |
0.014 |
Non-metal minerals (DI) |
-0.028 |
„ ___** 0.157 |
-0.023 |
_ ___** 0.169 |
-0.039 |
„ - „ _** |
-0.133 |
0.039 |
-0.004 |
0.196 | |
Basic metals/fabricated (DJ) |
MET |
-0.002 |
___„ |
-0.002 |
„ ___** 0.237 |
-0.005 |
„ ___** 0.365 |
-0.007 |
0.204 |
-0.034 |
„ ___* 0.172 |
Fabricated metals (DJ pt) |
-0.008 |
_ _ . 0.215 |
-0.005 |
_ _ . - ** 0.240 |
-0.012 |
_ ___M 0.279 |
-0.014 |
0.074 |
-0.018 |
0.120 | |
Machinery/Equipment (DK) |
-0.002 |
0.199** |
-0.000 |
0.208** |
0.000 |
0.232** |
-0.034 |
0.018 |
-0.003 |
0.105* | |
Office equip/Radio, TV (DI pt) |
-0.026 |
____** 0.177** |
-0.037 |
0.161** |
-0.009 |
0.195** |
„ „ . „ * -0.048 |
0.019 |
-0.128 |
0.058 | |
Electrical machinery (DI pt) |
-0.039 |
0.264** |
-0.041 |
0.316** |
-0.041 |
0.280** |
-0.030 |
0.022 |
-0.047 |
_ _ _ ** | |
Medical/Precision (DI pt) |
ENG |
-0.008 |
0.261** |
-0.010 |
0.281** |
-0.025 |
0.345** |
-0.029 |
0.046 |
-0.002 |
0.245** |
Motor vehicles/parts (DM pt) |
-0.035 |
____** 0.179** |
-0.003 |
____** 0.273** |
-0.034 |
0.232** |
-0.038 |
0.064 |
-0.097 |
0.071 | |
Other transport (DM pt) |
-0.033 |
„ _ ._** 0.245 |
-0.038 |
0.301 |
-0.050 |
0.321 |
„ _ „ „ * -0.109 |
0.100 |
-0.060 |
_ ___** 0.367 | |
Manufacturing n.e.c. (DN) |
OMF |
-0.001 |
_ _ . 0.217 |
-0.001 |
_ _ . . ** 0.241 |
0.000 |
_ ___M 0.278 |
-0.011 |
_ ___M 0.070 |
-0.019 |
_ - 0.135 |
Construction (F) |
CON |
-0.008 |
0.262 |
-0.010 |
_ „ _ ** |
-0.002 |
0.234 |
_ _ , ** -0.066 |
0.030 |
-0.027 |
_ _ _ * |
Repair/sale motors (G pt) |
RSM |
-0.002 |
0.213 |
-0.002 |
„ _ _ „ ** |
-0.001 |
„ ___** 0.337 |
0.000 |
0.221 |
-0.042 |
0.082 |
Wholesale trade (G pt) |
WHO |
-0.004 |
„ - „ .** 0.186 |
-0.003 |
„ ___** 0.207 |
0.000 |
0.211 |
„ „ _ „ * -0.020 |
_ _ „ ** |
-0.016 |
_ „ . ** |
Retail trade (G pt) |
RHR |
-0.001 |
„ ___** 0.292 |
-0.001 |
„ _ _ ,** ____ M |
-0.001 |
„ _ _ „ „ „ „ _** |
-0.038 „ _ _ „ ** |
„ ___* 0.057 |
-0.052 |
„ „ _ _** 0.097 |
Hotels/restaurants (H) |
-0.009 |
0.161 |
-0.024 |
0.174 |
-0.003 |
0.097 |
-0.139 |
0.091 |
-0.108 |
0.035 | |
Transport services (I pt) |
-0.011 |
___** 0.276** |
-0.015 |
0.285** |
-0.001 |
_ ___** 0.250** |
-0.110 |
0.080** |
-0.031 |
0.139** | |
Support for Transport (I pt) |
TRA |
-0.009 |
__** 0.178 |
-0.009 |
_ . _ ** |
-0.008 |
. - ** |
_ __** -0.158 |
0.007 |
-0.076 |
- . ** |
Post/Telecoms (I pt) |
POT |
-0.011 |
„ ___** 0.151 |
-0.011 |
„ . . .»* 0.144 |
-0.008 |
„ „ „ „ ** |
„ „ „ „ ** -0.090 |
0.033 |
-0.024 |
0.154 |
Financial intermediation (J) |
-0.049** |
0.220** |
„ „ , „ ** -0.060 |
0.239** |
„ „ _ „ * -0.030 |
0.201** |
-0.037 |
0.037 |
-0.051 |
_ ___** 0.137** | |
Real estate (K pt) |
FIN |
-0.083** |
0.149** |
_ . . .** -0.091 |
. - ** 0.143** |
-0.018 |
0.074** |
_ . . ** -0.144 |
0.148** |
-0.156* |
_ _* 0.137* |
Renting (K pt) |
-0.017 |
„ ___** 0.317 |
-0.016 |
_ ___** 0.358 |
-0.060 |
0.126 |
„ _ _ „** -0.239 |
0.005 |
-0.024 |
___** 0.427 | |
Computer services/R&D (K pt) |
-0.001 |
0.142 |
-0.001 |
„ . . .** 0.160 |
0.000 |
„ _ „ „ ** |
-0.031 |
0.024 |
-0.016 |
_ _ _ _** | |
Other Business services (K pt) |
BUS |
_ ___** -0.023 ^* ^^ ■ ■ |
___„ 0.220 |
_ ___** -0.027 |
„ _ _ „ ** |
____** -0.022 |
„ - _ _** |
-0.095 |
0.019 |
-0.011 |
_ _ _ — ** |
Note: ** denotes null rejected at 1% level; * null rejected at 5% level. Source: calculations based on weighted FAME
a In each instance we are testing the two sub-groups listed against each other, with the null that the distribution of one sub-group dominates the other; the values measure the
greatest difference between the two sub-groups, and a positive value means that a sub-group lies to the left of the opposing sub-group.
13
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