Uses computer at work (1 = yes) 0.276 (0.010) 0.170 0.140 0.325 0.188 0.162 (0.008) (0.008) (0.009) (0.008) (0.008)

ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN:9780190931919
Author:NEWNAN
Publisher:NEWNAN
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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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
Transcribed Image Text: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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