Working the Night Shift: The Impact of Compensating Wages and Local Economic Conditions on Shift Choice
Table 3
Night and day wage equations.
Variable
Night worker
Day worker
(1)
(2)
Unemployment rate*
0.005
0.000
(model using unemployment rate)
(0.013)
(0.004)
Coincident index
0.011
−0.002
(model using coincident index)
(0.010)
(0.004)
Selection term
0.030
−0.231***
(model using unemployment rate)
Selection term
0.034
−0.231***
(model using coincident index)
Years of school
0.169*
−0.014
(0.094)
(0.015)
Years of school squared
−0.006*
0.004***
(0.004)
(0.001)
Experience
−0.019
0.031***
(0.023)
(0.007)
Experience squared
0.001
−0.001**
(0.001)
(0.000)
Union
0.090
0.127***
(0.060)
(0.019)
Nonwhite
−0.105*
−0.026
(0.058)
(0.020)
Female
−0.129**
−0.230***
(0.052)
(0.016)
Married
0.077
0.057***
(0.060)
(0.190)
Wholesale trade industry
0.311*
−0.121***
(0.175)
(0.034)
Retail trade industry
−0.011
−0.236***
(0.091)
(0.026)
Transportation industry
0.268***
0.061**
(0.089)
(0.026)
Financial industry
0.172
0.017
(0.285)
(0.027)
Entertainment and recreation industry
−0.086
−0.205***
(0.153)
(0.069)
Professional and related industry
0.005
−0.180***
(0.102)
(0.020)
Public administration industry
0.287**
−0.053*
(0.127)
(0.031)
Executive and managerial occupation
0.335**
0.504***
(0.135)
(0.030)
Professional/specialty occupation
0.744***
0.432***
(0.100)
(0.032)
Technical occupation
0.358**
0.410***
(0.155)
(0.042)
Sales occupation
−0.026
0.426***
(0.143)
(0.035)
Clerical occupation
0.230**
0.218***
(0.116)
(0.030)
Protective services occupation
0.150
0.146**
(0.117)
(0.064)
Craft occupation
0.491***
0.261***
(0.111)
(0.032)
Operator occupation
0.223**
−0.001
(0.107)
(0.038)
Transport occupation
0.042
0.110***
(0.127)
(0.042)
Laborer occupation
0.078
−0.046
(0.122)
(0.049)
Constant
1.023
1.681***
(0.672)
(0.110)
Observations
4035
Log-likelihood
−2401.119
LR test of independent equations
161.19***
Levels of significance: ***1%, **5%, and *10%. *The ESR model is first estimated using the one month percentage change in the coincident index as the indicator of local economic conditions. The model is then reestimated using the unemployment rate as the indicator of local economic conditions. Due to the similarity of coefficients for the education, experience, gender, marital status, union membership, race, industry, and occupation variables, only the regression results from the model using the one month percentage change in the coincident index as the indicator of local economic conditions are shown for these variables. Coefficients for these variables using the unemployment rate are available upon request. Standard errors are shown in parentheses. Other controls include experience cubed, region of residence, and an indicator for MSA residence.
