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Introduction to Econometrics
Chapter 3
The linear regression model
The linear regression model (LRM)
LRM with an exogenous explanatory variable
The OLS estimator
The properties of the OLS estimator
When are the OLS estimators unbiased and consistent?
Homoscedasticity, heteroscedasticity and the Gauss-Markov assumptions
The variance of the OLS estimators
Estimating σ2
Estimating the variance of the OLS estimators
The Gauss-Markov theorem
Some distributions
The chi-square distribution
The t-distribution
The F-distribution
Critical values
Inference in the linear regression model
Introduction to hypothesis testing
Hypothesis testing in the LRM: The t-test
Confidence intervals in the LRM
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The t-distribution
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Summary
If
Z
∼
N
(
0
,
1
)
,
Y
∼
χ
2
k
and
Z
and
Y
are independent random variables, then we say that
T
=
Z
√
Y
/
k
follows a t-distribution with
k
degrees of freedom and we write
T
∼
t
k