Question
This question studies whether working 4 days a week (therefore not working on Fridays) would increase or decrease productivity of workers, using a hypothetical scenario
This question studies whether working 4 days a week (therefore not working on Fridays) would increase or decrease productivity of workers, using a hypothetical scenario that New South Wales has implemented a law that mandates working 4 days a week in 2030. You collected data on productivity of workers in three waves, in 2025, 2030 and 2035:
State | Year | Work4 | Hourly Rate | Average Years of Education |
---|---|---|---|---|
New South Wales | 2025 | 0 | 40 | 13 |
New South Wales | 2030 | 1 | 42 | 13 |
New South Wales | 2035 | 1 | 46 | 13 |
Victoria | 2025 | 0 | 41 | 15 |
Victoria | 2030 | 0 | 43 | 15 |
Victoria | 2035 | 0 | 45 | 15 |
Queensland | 2025 | 0 | 30 | 12 |
Queensland | 2030 | 0 | 35 | 12 |
Queensland | 2035 | 0 | 40 | 12 |
Description for this dataset are as follows:
- State: select states in Australia
- Year: year that data is collected
- Work4: =1 if the law mandates working 4 days a week, =0 if the law mandates working 5 days a week
- Average Years of Education: average years of education of workers in the state
(a) Using hourly rate and average years of education data on 2025, find optimal rule, by minimizing sum of squared errors, for synthesizing New South Wales using Victoria and Queensland.
(b) Using optimal synthesizing rule in (a), calculate causal effect of working 4 days on productivity (i.e. hourly rates) of New South Wales workers in 2030.
(c) Using optimal synthesizing rule in (a), calculate causal effect of working 4 days on productivity (i.e. hourly rates) of New South Wales workers in 2035.
(d) Compare causal effects in (b) and (c). Which is larger? What does it tell us about short-term and long-term effects of working 4 days a week?
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