Table 2: Coefficient Estimates of Virtual Profit Maximising Behaviour
|
Variable |
Coefficient |
Standard |
Coefficient |
Standard Error |
|
System 15(a)-15(d) |
System 15(a)-15(d), 16 | |||
|
Intercept_____________ |
4.5733 |
0.6624 |
6.3249 |
1.5093 |
|
Jh_____________ |
1.5721 |
0.2437 |
1.1230 |
0.3526 |
|
wɪ_________________ |
-0.1541 |
0.0351 |
-0.0917 |
0.0389 |
|
_t_______________________ |
0.1811 |
0.0530 |
0.0446 |
0.1063 |
|
m___________ |
1.3493 |
0.1376 |
8.5428 |
2.2910 |
|
к________________ |
-0.8096 |
0.6020 |
-2.6511 |
0.8896 |
|
Pv* Pv_________________ |
-0.0614 |
0.1076 |
-0.0051 |
0.1170 |
|
Wι*wt______________ |
-0.0905 |
0.0128 |
-0.0861 |
0.0113 |
|
t*t______________________ |
-0.0071 |
0.0022 |
-0.0019 |
0.0040 |
|
m*m___________ |
0.2188 |
0.1084 |
7.1624 |
2.2455 |
|
k*k______________ |
-0.1777 |
0.3558 |
-0.6801 |
0.4810 |
|
Pv*wt_______________ |
0.1773 |
0.0099 |
0.1768 |
0.0086 |
|
Pv*t___________________ |
0.0055 |
0.0111 |
0.0240 |
0.0150 |
|
Pv*m______________ |
-0.3594 |
0.0661 |
-0.7384 |
0.2947 |
|
Pv*k________________ |
0.2913 |
0.1250 |
0.2885 |
0.1318 |
|
w1*t________________ |
0.0013 |
0.0014 |
-0.0013 |
0.0016 |
|
wt*m____________ |
0.1264 |
0.0144 |
0.1713 |
0.0295 |
|
w1*k______________ |
-0.0539 |
0.0106 |
-0.0521 |
0.0114 |
|
t*m_______________ |
-0.0206 |
0.0059 |
-0.3016 |
0.0972 |
|
t*k_________________ |
0.0302 |
0.0271 |
0.1223 |
0.0426 |
|
m*k____________ |
0.0514 |
0.0660 |
-0.6090 |
0.5672 |
|
ι_____________________________________ |
0.5558 |
0.0942 |
0.7203 |
0.0963 |
|
2______________________________ |
0.5002 |
0.0919 |
0.5913 |
0.0932 |
|
3______________________________ |
0.3212 |
0.0987 |
0.4283 |
0.0985 |
|
4______________________________ |
0.6677 |
0.1273 |
0.6902 |
0.1604 |
|
Intercept (Eqt. (16)) |
0.7111 |
0.2154 | ||
|
Py |
-0.2654 |
0.0697 | ||
|
wɪ |
-0.1392 |
0.0873 | ||
|
t |
0.0039 |
0.0085 | ||
|
m |
0.0249 |
0.1172 | ||
|
^k |
0.0267 |
0.0642 | ||
|
Log -Likelihood_____ |
______________279.37______________ |
_______________286.855_______________ | ||
Key: py= price of processed output; wɪ = is the wage rate; t = time trend; m = volume of milk raw material; к =
capital stock; ɪ - 4 are the estimated first-order autocorrelation coefficients for the equations estimated. (Note: the
numeraire in the imposition of zero Iiomgeneity was the price of non-milk materials.)
15
More intriguing information
1. Estimating the Impact of Medication on Diabetics' Diet and Lifestyle Choices2. Inhimillinen pääoma ja palkat Suomessa: Paluu perusmalliin
3. The name is absent
4. IMPLICATIONS OF CHANGING AID PROGRAMS TO U.S. AGRICULTURE
5. The English Examining Boards: Their route from independence to government outsourcing agencies
6. DEMAND FOR MEAT AND FISH PRODUCTS IN KOREA
7. Wirtschaftslage und Reformprozesse in Estland, Lettland, und Litauen: Bericht 2001
8. Licensing Schemes in Endogenous Entry
9. If our brains were simple, we would be too simple to understand them.
10. The name is absent