Cun: 0993718306 Assignment 2 Question 1. ๐๐๐ = 0.4๐ฟ + 0.09๐ฟ2 − 0.0035๐ฟ3 ; ๏ ๐๐๐ = 0.4 + 0.18๐ฟ − 0.0105๐ฟ2 ; a. ๐ด๐๐ = ๐๐๐ ๐ฟ = 0.4 + 0.09๐ฟ − 0.0035๐ฟ2 b. ๐๐๐ is maximized when MPP is equal to zero ๏ 0.4 + 0.18๐ฟ − 0.0105๐ฟ2 = 0 −0.18 ± √0.182 − 4(−0.0105)(0.4) 2(−0.0105) You got two values ๐ฟ= ๐ฟ = 19.13 (๐กโ๐๐ข๐ โ๐๐ข๐๐ )๐๐ ๐ฟ = −1.99 (๐กโ๐๐ข๐ โ๐๐ข๐๐ ) ๏จ L* =1 9.130 (thous. hours) will maximize TPP (why not the other L?). c. APP is maximized when APP = MPP ๏ 0.4 + 0.09๐ฟ − 0.0035๐ฟ2 = 0.4 + 0.18๐ฟ − 0.0105๐ฟ2 0.09๐ฟ − 0.0035๐ฟ2 = 0.18๐ฟ − 0.0105๐ฟ2 0.09๐ฟ − 0.007๐ฟ2 = 0 ๐ฟ(0.09 − 0.007๐ฟ) = 0 ๐ฟ = 0 ; 0.09 − 0.007๐ฟ = 0 → ๐ฟ = 12.857 (๐กโ๐๐ข๐ . โ๐๐ข๐๐ ) ๏จ L* =12.857 (thous hours) will maximize MPP (why not the other L?). At this level of labor, the output is: ๐๐๐ = 0.4๐ฟ + 0.09๐ฟ2 − 0.0035๐ฟ3 = 0.4 ∗ 12.857 + 0.09 ∗ 12.8572 − 0.0035 ∗ 12.8573 =12.581 d. Stage 1: 0≤L<12.857 (thous hours) Stage2: 12.857≤L≤19.13 (thous hours) Stage 3: L>19.13 (thous hours) e. Total Physical Product Output 19.0 14.0 9.0 4.0 (1.0) 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 (6.0) Lab ('000 hours) (11.0) (16.0) (21.0) (26.0) APP and MPP Output 1.50 0.50 (0.50) 0 10 20 30 Lab ('000 hours) (1.50) APP (2.50) (3.50) (4.50) (5.50) (6.50) f) Poutput = 10; Pinput = 11 Profit-maximizing labor use: MPP The firm maximizes profit ๏ MVP = MIC MPP * Pout put = Pinput MPP = Pinput / Poutput = 11/10 = 1.1 0.4 + 0.18๐ฟ − 0.0105๐ฟ2 = 1.1 −0.7 + 0.18๐ฟ − 0.0105๐ฟ2 = 0 You got two values: ๐ฟ = 11.18 (๐กโ๐๐ข๐ โ๐๐ข๐๐ )๐๐ ๐ฟ = 5.96 (๐กโ๐๐ข๐ โ๐๐ข๐๐ ) You notice that both levels of labor use we have found are in stage 1. So if firm wants to maximize profit, it should not produce at this stage. Bonus MPP is maximized when its slope equals, or ∂MPP/∂L , equals to zero: ∂๐๐๐/ ∂๐ฟ = 0.18 − 0.021๐ฟ = 0 0.18 = 0.021๐ฟ ๏ LMPP max = 8.57 (thous hrs) Question 2. Table 1. Use of inputs X1, X2 , and output: X1 100 200 300 400 500 100 1000 1400 1600 1750 1850 200 1400 2000 2400 2600 2750 X2 300 1600 2400 3000 3400 3550 400 1750 2600 3400 4000 4300 500 1850 2750 3550 4300 5000 a) X1 fixed, X2 varies: Using MPP = ๏Q /๏X2 Apply this for each level of X1 (fixed), you will have Table 2 below. For example at X1 = 200: When X2 increases from 200 to 300, output increases from 2000 to 2400 ๏ MPPX2 = (2400-2000)/(300-200) = 4 Table 2. Marginal Physical Product of X2 at different levels of X1 MPP X1=300 X2 X1=100 X1=200 X1=400 X1=500 100 200 4 6 8 8.5 9 300 2 4 6 8 8 400 1.5 2 4 6 7.5 500 1 1.5 1.5 3 7 The table shows that, at all levels of X1, we observe the evidence of the law of diminishing marginal returns (or MPPX2 is decreasing). For example, at Q1 = 200, MPPX2 decreases from 6, to 4, then 2, then 1.5 when X2 increases from 100, to 200, 300, 400, and 500. b) X2 fixed, X1 varies Notice that the cells inside Table 1 forms a symmetric matrix for X1 and X2 ๏ Every result calculated for X2 applies for X1 ๏ Without further calculation, you will have Table 3: Table 3. Marginal Physical Product of X1 at different levels of X2 X1 X2=100 X2=200 100 200 4 6 300 2 4 400 1.5 2 500 1 1.5 MPP X2=300 X2=400 8 6 4 1.5 8.5 8 6 3 X2=500 9 8 7.5 7 Question 3. ๐๐ถ = 5 + 10๐ − 0.9๐ 2 + 0.04๐ 3 ๐๐ถ = 10 − 1.8๐ + 0.12๐ 2 a) TFC = 5; AFC = TFC/Q = 5/Q b) ๐๐๐ถ = 10๐ − 0.9๐ 2 + 0.04๐ 3 ; ๐ด๐๐ถ = 10 − 0.9๐ + 0.04๐ 2 ; 5 ๐๐ถ ๐ด๐๐ถ = ๐ด๐น๐ถ + ๐ด๐๐ถ = + 10 − 0.9๐ + 0.04๐ 2 (๐๐ ๐๐๐๐กโ๐๐ ๐ค๐๐ฆ: ๐ด๐๐ถ = ) ๐ ๐ c) MC, AFC, & AVC Cost 200 180 160 140 120 MC 100 AFC 80 AVC 60 40 20 Output (0'000') 0 0.1 5.1 10.1 15.1 20.1 25.1 30.1 35.1 d) AVC is minimized when AVC = MC 10 − 0.9๐ + 0.04๐ 2 = 10 − 1.8๐ + 0.12๐2 −0.9๐ + 0.04๐ 2 = −1.8๐ + 0.12๐ 2 −0.9๐ + 0.08๐ 2 = 0 ๏จ ๐ = 0; ๐ = 11.25 So AVC is minimized when QAVC = 112,500 (loaves) e) Profit is maximized when P = MR = MC ๏ 4 = MC 10 − 1.8๐ + 0.12๐ 2 = 4 6 − 1.8๐ + 0.12๐ 2 = 0 ๐= [1.8 ± √1.82 − 4(6)(0.12)] (2)(0.12) ๐ = 5 ๐๐ ๐ = 10 Both of the two values that maximizes profit at price of 4 are smaller than the value ofQ AVC ๏ shut down ๏ firm makes a loss of 5 for the whole fixed cost.