Each cell represents a regression with a different outcome variable from Krueger’s (1993) study of workers who use computers. The left hand side variable is log wages. Answer based on column 2 of the above regression table.1. Write a sentence that explains the relationship the regression is describing in row 2. 2. What is the number in parenthesis? What is it trying to communicate?3. Write a causal statement that captures what the authors are trying to argue in row 2. TABLE IIOLS REGRESSION ESTIMATES OF THE EFFECT OF COMPUTER USE ON PAY(DEPENDENT VARIABLE: In (HOURLY WAGE))October 1984IndependentvariableExperienceExperience-squared + 100Black (1 = yes)Other race (1 = yes)Part-time (1 = yes)Lives in SMSA (1 = yes)Veteran (1= yes)Female (1 = yes)Married (1 = yes)Married FemaleUnion member (1 = yes)8 Occupation dummiesR2I(2) (3)No0.051(1)Intercept1.937 0.7500.928 2.0860.905 1.094(0.005)(0.023)(0.026) (0.006) (0.024) (0.026)Uses computer at work (1 = yes) 0.2760.1700.140 0.3250.188 0.162(0.008) (0.008) (0.009) (0.008) (0.008)(0.010)Years of education0.069 0.0480.075 0.055(0.001) (0.002)0.027 0.025(0.001) (0.001)-0.041 -0.040(0.002) (0.002)-0.098 -0.066€(0.013) (0.012)-0.105 -0.079(0.020) (0.019)-0.256 -0.216(0.010) (0.010)0.111 0.105(0.007) (0.007)0.0380.041(0.011) (0.011)-0.162 -0.135(0.012) (0.012)0.156 0.129(0.011) (0.011)-0.168 -0.151(0.015) (0.015)0.1810.194(0.009) (0.009)NoYes0.446October 1989-(5)No0.491 0.082(6)(0.002) (0.002)0.027 0.025(0.001) (0.001)-0.041 -0.040(0.002) (0.002)-0.121 -0.092(0.013) (0.012)-0.029 -0.01570(0.020) (0.020)-0.221 -0.183(0.010) (0.010)0.138 0.130(0.007) (0.007)0.025 0.031(0.012) (0.011)-0.172 -0.151(0.012) (0.012)0.159 0.143(0.011) (0.011)-0.141 -0.131(0.015) (0.015)0.1820.189(0.010) (0.010)NoYes0.4510.486in saA 1690

here the dependent variable is log wage. The values in the second row Independent Variable 1 2 3…

Answered: Uses computer at work (1 = yes) 0.276…

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter7: Production Economics

Section: Chapter Questions

Problem 1.3CE

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Question

Each cell represents a regression with a different outcome variable from Krueger’s (1993) study of workers who use computers. The left hand side variable is log wages. Answer based on column 2 of the above regression table.

1. Write a sentence that explains the relationship the regression is describing in row 2.

2. What is the number in parenthesis? What is it trying to communicate?

3. Write a causal statement that captures what the authors are trying to argue in row 2.

TABLE II
OLS REGRESSION ESTIMATES OF THE EFFECT OF COMPUTER USE ON PAY
(DEPENDENT VARIABLE: In (HOURLY WAGE))
October 1984
Independent
variable
Experience
Experience-squared + 100
Black (1 = yes)
Other race (1 = yes)
Part-time (1 = yes)
Lives in SMSA (1 = yes)
Veteran (1= yes)
Female (1 = yes)
Married (1 = yes)
Married Female
Union member (1 = yes)
8 Occupation dummies
R2
I
(2) (3)
No
0.051
(1)
Intercept
1.937 0.750
0.928 2.086
0.905 1.094
(0.005)
(0.023)
(0.026) (0.006) (0.024) (0.026)
Uses computer at work (1 = yes) 0.276
0.170
0.140 0.325
0.188 0.162
(0.008) (0.008) (0.009) (0.008) (0.008)
(0.010)
Years of education
0.069 0.048
0.075 0.055
(0.001) (0.002)
0.027 0.025
(0.001) (0.001)
-0.041 -0.040
(0.002) (0.002)
-0.098 -0.066
€
(0.013) (0.012)
-0.105 -0.079
(0.020) (0.019)
-0.256 -0.216
(0.010) (0.010)
0.111 0.105
(0.007) (0.007)
0.038
0.041
(0.011) (0.011)
-0.162 -0.135
(0.012) (0.012)
0.156 0.129
(0.011) (0.011)
-0.168 -0.151
(0.015) (0.015)
0.181
0.194
(0.009) (0.009)
No
Yes
0.446
October 1989
-
(5)
No
0.491 0.082
(6)
(0.002) (0.002)
0.027 0.025
(0.001) (0.001)
-0.041 -0.040
(0.002) (0.002)
-0.121 -0.092
(0.013) (0.012)
-0.029 -0.015
70
(0.020) (0.020)
-0.221 -0.183
(0.010) (0.010)
0.138 0.130
(0.007) (0.007)
0.025 0.031
(0.012) (0.011)
-0.172 -0.151
(0.012) (0.012)
0.159 0.143
(0.011) (0.011)
-0.141 -0.131
(0.015) (0.015)
0.182
0.189
(0.010) (0.010)
No
Yes
0.451
0.486
in sa
A 1690

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