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See the data below. As the General Manager of hotel resorts, you seek to understand the relationship between the number of vacation packages provided and

See the data below. As the General Manager of hotel resorts, you seek to understand the relationship between the number of vacation packages provided and hours of labour expended in providing this service. From resort hotels records (accounting, human resources, and marketing departments), you collected four years of monthly data on the following variables: the number of vacation packages provided (Q) and the hours of labour expended in providing the service (L). Additionally, you know that the hourly wage is $15, and the price of a vacation package is $700. You want to calculate the profit-maximizing number of labour hours.

a. Estimate the following production function: Q = L, where and are the coefficients. First, log-linearise the production function and then estimate the log-linear regression equation. Copy and paste your regression results from your excel file, and write down your estimated function in this form: Q = L.

b.Using the function in (a), derive the marginal product of labour (MPL) and plot it against L in Excel. Copy and paste your plot into your assignment.

c. Does this production function exhibit diminishing marginal returns to labour? Explain. Hint: How does MPL depend on L?

d. You are currently employing L = 5,215. Is this number optimal? To answer this question, compare the value of the marginal product at L = 5,215 with the hourly wage. Should the number of labour hours employed be increased, decreased, or kept unchanged in order to maximize profits?

e. Find the profit-maximizing number of labour hours mathematically.

Q L
338 5215
361 6623
382 6859
406 7948
308 4560
324 5081
311 5383
311 4410
301 4294
296 3913
321 6116
550 25411
461 18043
283 3351
377 7038
360 5719
314 4248
314 5036
310 4278
334 5175
306 4343
305 4675
293 3985
527 16359
559 27389
319 5875
375 7021
342 7123
408 10989
357 6626
317 4389
330 5530
288 3586
315 4721
291 4685
487 19869
533 22663
320 4700
297 3723
333 6745
359 7876
329 5181
308 4838
323 6014
276 3424
308 4634
293 3523
428 12484

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