We have cross-sectional data for a sample of 690 workers in 2018 containing the following variables: - educ: years of schooling - black: 1 if black - smsa: 1 in SMSA (reside in urban area) - south: 1 if in south (reside in south of the country) - wage: hourly wage in cents - lwage: log(wage) - I
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First, let's understand the variables in the dataset: - educ: This variable represents the number of years of schooling for each worker. - black: This variable takes a value of 1 if the worker is black and 0 otherwise. - smsa: This variable takes a value of 1 if Show more…
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Now we have the following sample regression function: wage = 8 - 2.2 * black + 1.50 * union + 0.50 * (black * union) + 0.50 * educ Wage is dollars per hour. Black is a binary variable that equals 1 if someone is black and equals 0 otherwise. Union is a binary variable that equals 1 if someone is in a union and equals 0 otherwise.
Madhur L.
A researcher has estimated log-linear models to study the effect of education on wage earned and found that the estimated ln(wage) = 1.6094 + 0.0904Edu. The sample average for education and ln(wage) are respectively given by 12 years and 2.86. What is the estimated elasticity of wage with respect to education? 0.0904 1.0848 0.2585 0.3793
Narayan H.
The following data give the hourly wage rates (Rands) for a sample of 20 workers selected from a large company. 12.50 9.45 13.85 7.25 8.70 14.60 11.75 14.50 10.80 12.45 7.50 15.90 9.75 11.50 13.30 6.25 15.50 12.80 5.35 9.50 Using the raw data, determine the range. Fill in the missing values in the table below. Interval (Rand) | Frequency | Cumulative Frequency 5.00 < 7.00 | | 7.00 < 9.00 | | 9.00 < 11.00 | | 11.00 < 13.00 | | 13.00 < 15.00 | | 15.00 < 17.00 | | Σ | 20 | Determine the mean wage rate using the raw data. Find the median. Is there a mode? Explain.
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