1. Suppose we have data on Favorite sci-fi/fantasy books, Faculty, Sleep Hours & GPA: ID Sleep Hours 9 1 2 8 Faculty Arts Other Arts Arts Other GPA 80 85 70 75 90 3 7 7 Favorite Book The Hitchhiker's Guide to the Galaxy The Hundred Thousand Kingdoms Wheel of Time Game of Thrones Dragon Sword and Wind Child Dragon Pearl Trail of Lightning Rosewater The Wildlings We Hunt the Flame 4 5 10 6 9 85 7 95 8 7 Arts Other Other Arts 9 9 85 95 10 10 a) Graph the empirical pdf of Sleep Hours (include missing). Label your axis & ticks. [3] b) Consider the following data on work hours in Ontario: ID Month imm= Immigrant indicator Hours Worked Per Week 40 year pkid=Indicator for presence of children nkid=#of children 1 0 0 0 2020 2 1 45 1 2 January January January 2020 3 0 43 1 3 2020 I 2011 2020 45 1 3 2021 2021 45 0 January January January 0 203 0 48 0 0 2021 3901 40 1 1 January 2021 Suppose that Ontario went into lockdown in January 2021, and you want to estimate the "impact" of the lockdown on weekly hours worked. Write an empirical model in the space provided) that will allow you to estimate this impact using the dataset above. And identify which coefficient tells you the impact of the lockdown. (note: You will want to create a new variable with the data you have, so you must explain the new variable you create).[2]. Your model: Coefficient that tells you the impact: c) Now suppose you wish to estimate whether the lockdown differentially impacted hours worked of immigrants in Ontario. Write a new empirical model (in the space provided) that will allow you to estimate this differential effect using the dataset depicted in part b. Only use one dependent variable and exactly three independent variables in your model. (2). Your model: d) Given your empirical model from part c, what coefficient(s) estimate(s) will tell you the differential effect of the lockdown on immigrant work hours? What would be your null hypothesis using this/these coefficient(s)? [2] Coefficient that tells you the differential effect: Null hypothesis using this coefficient 1. Suppose we have data on Favorite sci-fi/fantasy books, Faculty, Sleep Hours & GPA: ID Sleep Hours 9 1 2 8 Faculty Arts Other Arts Arts Other GPA 80 85 70 75 90 3 7 7 Favorite Book The Hitchhiker's Guide to the Galaxy The Hundred Thousand Kingdoms Wheel of Time Game of Thrones Dragon Sword and Wind Child Dragon Pearl Trail of Lightning Rosewater The Wildlings We Hunt the Flame 4 5 10 6 9 85 7 95 8 7 Arts Other Other Arts 9 9 85 95 10 10 a) Graph the empirical pdf of Sleep Hours (include missing). Label your axis & ticks. [3] b) Consider the following data on work hours in Ontario: ID Month imm= Immigrant indicator Hours Worked Per Week 40 year pkid=Indicator for presence of children nkid=#of children 1 0 0 0 2020 2 1 45 1 2 January January January 2020 3 0 43 1 3 2020 I 2011 2020 45 1 3 2021 2021 45 0 January January January 0 203 0 48 0 0 2021 3901 40 1 1 January 2021 Suppose that Ontario went into lockdown in January 2021, and you want to estimate the "impact" of the lockdown on weekly hours worked. Write an empirical model in the space provided) that will allow you to estimate this impact using the dataset above. And identify which coefficient tells you the impact of the lockdown. (note: You will want to create a new variable with the data you have, so you must explain the new variable you create).[2]. Your model: Coefficient that tells you the impact: c) Now suppose you wish to estimate whether the lockdown differentially impacted hours worked of immigrants in Ontario. Write a new empirical model (in the space provided) that will allow you to estimate this differential effect using the dataset depicted in part b. Only use one dependent variable and exactly three independent variables in your model. (2). Your model: d) Given your empirical model from part c, what coefficient(s) estimate(s) will tell you the differential effect of the lockdown on immigrant work hours? What would be your null hypothesis using this/these coefficient(s)? [2] Coefficient that tells you the differential effect: Null hypothesis using this coefficient
