In this assignment, we will create a simulated dataset to explore: A) how sample size...
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In this assignment, we will create a simulated dataset to explore: A) how sample size influences coefficient precision, B) how collinearity influences point estimates, and C) how variable functional form influences model fit.
Create a simulated dataset with the following characteristics:
N = 100,000
X1 = random_uniform
X2 = random_uniform
X3 = 0.2*X1 + random_normal(mean=1, sd=.2)
Y = 0.2*X1 + 0.2*log(X2) + 0.1*X3 + random_normal(mean=1, sd=.2)
Perform and report on the following analysis:
Draw random samples of varying sizes (N=50,100,200,1000, etc.) and run regression models
What happens to estimate precision across models? Why?
Using the population run and report the following regression specifications:
Y ~ X1
Y ~ X1 + X2
Y ~ X1 + X2 + X3
Comparing models: Why does the coefficient on X1 change? Why does the coefficient on X2 not change?
Using the population and report the following regression specifications
Y ~ X1 + X2 + X3
Y ~ X1 + log(X2) + X3
Comparing models: why does model fit (R2) change?
Answer & Explanation
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