Question

In: Economics

EXCEL FILE: ID   labor   capital   output   1   161   186   22808   2   230   440   68492   3   482  ...

EXCEL FILE:

ID   labor   capital   output  
1   161   186   22808  
2   230   440   68492  
3   482   552   93173  
4   167   367   48392  
5   484   356   96154  
6   457   488   115872  
7   260   345   62347  
8   144   413   92449  
9   453   167   81814  
10   171   385   34737  
11   333   446   100980  
12   433   397   68220  
13   134   282   46412  
14   446   495   177014  
15   341   471   162274  
16   361   170   63177  
17   244   347   97495  
18   114   473   23889  
19   425   240   46083  
20   386   414   135926  
21   339   262   177840  
22   296   492   70235  
23   515   242   68256  
24   388   178   45140  
25   112   298   23231  
26   110   299   30685  
27   248   571   89655  
28   391   298   120213  
29   518   510   58543  
30   342   328   52362  
31   325   390   110437  
32   246   416   87904  
33   94   318   45364  
34   79   444   32203  
35   267   110   17871  
36   449   446   126027  
37   289   405   103114  
38   323   383   75941  
39   320   239   67650  
40   191   500   56794  
41   215   275   21314  
42   317   399   95994  
43   510   396   106012  
44   365   222   55234  
45   464   325   158961  
46   136   454   58819  
47   54   446   34480  
48   38   536   25786  
49   437   283   58534  
50   474   271   84758  
51   442   445   90695  
52   324   209   106071  
53   93   451   47288  
54   191   275   22402  
55   233   292   60231  
56   354   365   83070  
57   468   414   81712  
58   323   399   147514  
59   481   314   57580  
60   108   285   18021  
61   300   332   56500  
62   233   355   121812  
63   97   435   24275  
64   255   406   99659  
65   312   326   90840  
66   469   406   94408  
67   85   290   25020  
68   82   472   26000  
69   123   486   19131  
70   372   251   71159  
71   144   201   19419  
72   282   404   60460  
73   451   174   41478  
74   386   426   88251  
75   265   208   44219  
76   381   409   92240  
77   161   268   49087  
78   63   293   15873  
79   184   187   15424  
80   253   400   87290  
81   440   278   87504  
82   374   334   83354  
83   128   293   25694  
84   272   205   59109  
85   237   449   72875  
86   501   431   86604  
87   264   278   62480  
88   128   322   39636  
89   104   326   14311  
90   224   153   24681  
91   50   520   9444  
92   203   244   28348  
93   215   505   40185  
94   39   270   14495  
95   262   594   119577  
96   28   398   62506  
97   97   431   12520  
98   315   194   34005  
99   484   263   132414  
100   87   277   30639  

QUESTIONS:

1. Create the relevant variables for the estimation of a Cobb-Douglass Production function:

lnQ = ln(Output)

lnL = ln(Employment)

lnK = ln(Capital)

2. Construct the sample mean, sample standard deviation, median for Output, Employment, and Capital. WRITE DOWN THESE STATISTICS

3. Run a linear regression of ln(Output) (dependent variable) on ln(Employment) and ln(Capital) as independent variables. For this part of the analysis you have to:

A. Is this coefficient significant? YES or NO, EXPLAIN

B. What effect does Employment have on Output? EXPLAIN

C. What coefficient indicates the effect of Capital on Output? WRITE THE VALUE HERE

D. Is this coefficient significant? YES or NO, EXPLAIN

E. What effect does Capital have on Output? EXPLAIN

F. What does the sum of the coefficients for Labor and Capital suggest about the type of returns to scale displayed by this production function?

G. Construct individual firms’ productivity. Which firm is the most productive? Which firm is the least productive?

Solutions

Expert Solution

ID   labor   capital   output   lnL lnK lnQ
1 161 186 22,808 5.08 5.23 10.03
2 230 440 68,492 5.44 6.09 11.13
3 482 552 93,173 6.18 6.31 11.44
4 167 367 48,392 5.12 5.91 10.79
5 484 356 96,154 6.18 5.87 11.47
6 457 488 1,15,872 6.12 6.19 11.66
7 260 345 62,347 5.56 5.84 11.04
8 144 413 92,449 4.97 6.02 11.43
9 453 167 81,814 6.12 5.12 11.31
10 171 385 34,737 5.14 5.95 10.46
11 333 446 1,00,980 5.81 6.10 11.52
12 433 397 68,220 6.07 5.98 11.13
13 134 282 46,412 4.90 5.64 10.75
14 446 495 1,77,014 6.10 6.20 12.08
15 341 471 1,62,274 5.83 6.15 12.00
16 361 170 63,177 5.89 5.14 11.05
17 244 347 97,495 5.50 5.85 11.49
18 114 473 23,889 4.74 6.16 10.08
19 425 240 46,083 6.05 5.48 10.74
20 386 414 1,35,926 5.96 6.03 11.82
21 339 262 1,77,840 5.83 5.57 12.09
22 296 492 70,235 5.69 6.20 11.16
23 515 242 68,256 6.24 5.49 11.13
24 388 178 45,140 5.96 5.18 10.72
25 112 298 23,231 4.72 5.70 10.05
26 110 299 30,685 4.70 5.70 10.33
27 248 571 89,655 5.51 6.35 11.40
28 391 298 1,20,213 5.97 5.70 11.70
29 518 510 58,543 6.25 6.23 10.98
30 342 328 52,362 5.83 5.79 10.87
31 325 390 1,10,437 5.78 5.97 11.61
32 246 416 87,904 5.51 6.03 11.38
33 94 318 45,364 4.54 5.76 10.72
34 79 444 32,203 4.37 6.10 10.38
35 267 110 17,871 5.59 4.70 9.79
36 449 446 1,26,027 6.11 6.10 11.74
37 289 405 1,03,114 5.67 6.00 11.54
38 323 383 75,941 5.78 5.95 11.24
39 320 239 67,650 5.77 5.48 11.12
40 191 500 56,794 5.25 6.21 10.95
41 215 275 21,314 5.37 5.62 9.97
42 317 399 95,994 5.76 5.99 11.47
43 510 396 1,06,012 6.23 5.98 11.57
44 365 222 55,234 5.90 5.40 10.92
45 464 325 1,58,961 6.14 5.78 11.98
46 136 454 58,819 4.91 6.12 10.98
47 54 446 34,480 3.99 6.10 10.45
48 38 536 25,786 3.64 6.28 10.16
49 437 283 58,534 6.08 5.65 10.98
50 474 271 84,758 6.16 5.60 11.35
51 442 445 90,695 6.09 6.10 11.42
52 324 209 1,06,071 5.78 5.34 11.57
53 93 451 47,288 4.53 6.11 10.76
54 191 275 22,402 5.25 5.62 10.02
55 233 292 60,231 5.45 5.68 11.01
56 354 365 83,070 5.87 5.90 11.33
57 468 414 81,712 6.15 6.03 11.31
58 323 399 1,47,514 5.78 5.99 11.90
59 481 314 57,580 6.18 5.75 10.96
60 108 285 18,021 4.68 5.65 9.80
61 300 332 56,500 5.70 5.81 10.94
62 233 355 1,21,812 5.45 5.87 11.71
63 97 435 24,275 4.57 6.08 10.10
64 255 406 99,659 5.54 6.01 11.51
65 312 326 90,840 5.74 5.79 11.42
66 469 406 94,408 6.15 6.01 11.46
67 85 290 25,020 4.44 5.67 10.13
68 82 472 26,000 4.41 6.16 10.17
69 123 486 19,131 4.81 6.19 9.86
70 372 251 71,159 5.92 5.53 11.17
71 144 201 19,419 4.97 5.30 9.87
72 282 404 60,460 5.64 6.00 11.01
73 451 174 41,478 6.11 5.16 10.63
74 386 426 88,251 5.96 6.05 11.39
75 265 208 44,219 5.58 5.34 10.70
76 381 409 92,240 5.94 6.01 11.43
77 161 268 49,087 5.08 5.59 10.80
78 63 293 15,873 4.14 5.68 9.67
79 184 187 15,424 5.21 5.23 9.64
80 253 400 87,290 5.53 5.99 11.38
81 440 278 87,504 6.09 5.63 11.38
82 374 334 83,354 5.92 5.81 11.33
83 128 293 25,694 4.85 5.68 10.15
84 272 205 59,109 5.61 5.32 10.99
85 237 449 72,875 5.47 6.11 11.20
86 501 431 86,604 6.22 6.07 11.37
87 264 278 62,480 5.58 5.63 11.04
88 128 322 39,636 4.85 5.77 10.59
89 104 326 14,311 4.64 5.79 9.57
90 224 153 24,681 5.41 5.03 10.11
91 50 520 9,444 3.91 6.25 9.15
92 203 244 28,348 5.31 5.50 10.25
93 215 505 40,185 5.37 6.22 10.60
94 39 270 14,495 3.66 5.60 9.58
95 262 594 1,19,577 5.57 6.39 11.69
96 28 398 62,506 3.33 5.99 11.04
97 97 431 12,520 4.57 6.07 9.44
98 315 194 34,005 5.75 5.27 10.43
99 484 263 1,32,414 6.18 5.57 11.79
100 87 277 30,639 4.47 5.62 10.33
Mean 274.45 351.13 66,945.75
Median 266.00 351.00 61,403.50
Standard deviation 139.77 106.79 39,278.08

A) second coefficient (lnL) is more significant than first as R squared is around 48% .

B) effect is positive. more the employment more is output as the coefficient is positive i.e. 0.6934

C) 0.5459

D) NO. R squared is very less.

E) effect is positive. more the capital more is the output as coefficient is positive i.e. 0.5459


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