Midterm ECO 562 Due: 3/30 at 11:59pm on D2L [40 Points] 1. Suppose that you are interested in determining the effect of number of

Midterm

ECO 562

Due: 3/30 at 11:59pm on D2L

[40 Points]

1. Suppose that you are interested in determining the effect of number of hours worked on

earnings. The Sheet “Question 1” on dataset “Midterm Data.xlsx” consists of the

earnings, working hours, and productivity of 40 workers.

wkearns: avg. weekly earnings

wkhours: avg. weekly hours

outphr: output per labor hour

ChatGPT Link:

a. [3 Points] Using GPT 4o or GPT 4.5, estimate the naïve regression:

wkearns = �̃� ∗ wkhours + �̃� + �̃� (1)

Test for linearity and heteroscedasticity in the chat. Do not correct for any violations.

b. [4 Points] Assuming the estimates to be unbiased, interpret the estimates of �̃� and

�̃�, including the p-value. Does this result align with business intuition? Why or why

not? [No AI allowed]

c. [3 Points] Using GPT 4o or GPT 4.5, estimate the full regression:

wkearns = 𝑚1 ∗ wkhours + 𝑚2 ∗ outphr + 𝑏 + 𝑒 (2)

Test for linearity and heteroscedasticity. If any of these two assumptions are violated,

instruct GPT to correct the model accordingly in the chat linked above. If there are no

issues, proceed to question 1d.

d. [4 Points] Interpret the estimates of 𝑚1 and 𝑚2, including the p-value. [No AI

allowed]

e. [4 Points] Why do the estimates of �̃� and 𝑚1 from regressions (1) and (2) differ so

drastically? What ‘story’ explains this divergence in the marginal effects of working

hours on salary? [No AI allowed]

2. Suppose you are interested in estimating the effect of household income on children’s

birthrate. The Sheet “Question 2” on dataset “Midterm Data.xlsx” consists of the family

income, birth rate, and daily cigarette consumption of the mother.

Family Income: household income

Birth Weight: the birth rate of the child

Daily Consumption of Cigarettes (Mother): the number of cigarettes consumed by the mother

while pregnant each day

ChatGPT Link:

a. [3 Points] Using GPT 4o or GPT 4.5, estimate the naïve regression:

Birth Weight = �̃� ∗ Family Income + �̃� + �̃� (3)

Test for linearity and heteroscedasticity in the chat. Do not correct any violations.

b. [4 Points] Assuming the estimates to be unbiased, interpret the estimates of �̃� and

�̃�, including the p-value. [No AI allowed]

c. [4 Points] Why might the daily consumption of cigarettes by the mother need to be

included in the regression? When omitting Daily Consumption of Cigarettes

(Mother), would regression (3) be over or underestimating the effects of income on

birth rate and why would that be the case?

d. [3 Points] Using GPT 4o or GPT 4.5, estimate the full regression:

Birth Weight = 𝑚1 ∗ Family Income + 𝑚2

∗ Daily Consumption of Cigarettes (Mother) + 𝑏 + 𝑒 (4)

Test for linearity and heteroscedasticity. If any of these two assumptions are violated,

instruct GPT to correct the model accordingly in the chat linked above. If there are no

issues, proceed to question 1d.

e. [4 Points] Interpret the estimates of 𝑚1 and 𝑚2, including the p-value. [No AI

allowed]

f. [2 Points] If we are only interested in estimating the effects of household income on

birthrate, what are some other potential omitted variables from the regression (4)?

Would the proposed omitted variable cause regression (4) to over- or underestimate

effect of income on birth rate? Why is that?

3. ChatGPT uses a Python code interpreter to conduct the analysis necessary for this

course. As I said before, Python is a free open-source programming language with data

analysis capabilities that far exceed the capabilities of Excel. While learning to program

isn’t a requirement for this course, it is important to know how to leverage the

capabilities of ChatGPT’s data analysis features.

For this question, have ChatGPT do something that is practically infeasible with existing

Microsoft Office programs and provide the link. The points that you receive for your

responds to this question depend on how impressive the task GPT does.

For example, I instructed ChatGPT to create 1,000 Excel spreadsheets, each containing

1,000 coin flips, in the chat link here. I uploaded the 1,000 Excel spreadsheets to Google

Docs, which can be found here.

ChatGPT Link:

a. [2 Points] What did you have ChatGPT do?

Share This Post

Email
WhatsApp
Facebook
Twitter
LinkedIn
Pinterest
Reddit

Order a Similar Paper and get 15% Discount on your First Order

Related Questions

Stacy McAllister  Addressing Negativity in Staff Meetings: A Leadership Perspective As the senior leader of an organization, it is crucial to address

Stacy McAllister  Addressing Negativity in Staff Meetings: A Leadership Perspective As the senior leader of an organization, it is crucial to address negativity promptly to maintain a productive and positive work environment. Barrett (2014) emphasizes the importance of immediately addressing negativity to prevent it from affecting team dynamics and performance.

Staffing Analysis Interest

Staffing Analysis Interest Rate Applications 4.0% 3098 4.3% 2785 4.3% 2515 4.7% 2180 4.7% 1873 5.2% 1794 5.6% 1450 5.7% 1177 6.1% 822 6.2% 886 6.2% 740 6.8% 740 7.1% 722 7.6% 540 8.3% 375 8.9% 425 9.4% 360 9.5% 389 9.7% 339 9.8% 336

What leadership behaviors are needed to improve the work environment, determined via your assessment of the employee engagement survey? What

What leadership behaviors are needed to improve the work environment, determined via your assessment of the employee engagement survey? What leadership skills would you recommend including in your organizational leader’s toolkit to develop the identified leadership behaviors? How will improvements in the recommended leadership skills and behaviors improve organizational performance?