Econometrics Exam Cheat Sheet [upd] Here

$$ t = \frac\hat\beta 1 - \beta 1, hypothesizedse(\hat\beta_1) $$

$$ \textBias = \beta_2 \cdot \delta_1 $$ Where $\beta_2$ is the effect of the omitted variable on $Y$, and $\delta_1$ is the correlation between the included and omitted variable. econometrics exam cheat sheet

This is the "statistics" heart of the exam. You must know how to perform a t-test. $$ t = \frac\hat\beta 1 - \beta 1,

Assumes (\alpha_i) uncorrelated with (X_it). [ Y_it = X_it\beta + u_it,\quad u_it = \alpha_i + \varepsilon_it ] Assumes (\alpha_i) uncorrelated with (X_it)

: If the exam allows, include brief snippets for R ( lm() ), Excel ("Data Analysis Toolpak"), or Stata commands. Workshop 20250807 193111 0000 | PDF | Time Series - Scribd

This is what separates a C from an A. When you see weird residual patterns, your cheat sheet should guide you: