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Consider the dataset in section 2.4. The er32049 variable is the last known marital status. Rename this variable as marstatus, give the variable the label "marital status", and tabulate marstatus. From the codebook, marital status is married
(1), never married
(2), widowed
(3), divorced or annulment
(4), separated
(5), not answered or do not know
(8), and no marital history collected
(9). Set marstatus to missing where appropriate. Use label define and label values to provide descriptions for the remaining categories, and tabulate marstatus. Create a binary indicator variable equal to 1 if the last known marital status is married, and equal to 0 otherwise, with appropriate handling of any missing data. Provide a summary of earnings by marital status. Create a set of indicator variables for marital status based on marstatus. Create a set of variables that interact these marital status indicators with earnings.
Design a simple econometric research project
Multiplicative decomposition method
The Australian government administers two programs that affect the market for cigarettes.
Solve the forecast model
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Explain why this model violates the assumption of no perfect collinearity. Write the t statistic for testing the null hypothesis
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Determine when a competitively produced product generates negative externalities in production, the industry will,
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M-commerce also known as mobile commerce is being lumped in with several strategic internet plans. Explain some of the industries that are likely to use mobile commerce and how it is working for them.
Auto Data manufactures custom engineering testing machine. The following 5-orders are currently in the design department:
Briefly discuss the difference between mechanism of an oral or English auction and a Vickrey or second price auction.
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