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Econometrics with Simulations

Introduction

Motivation: Uses of Regression

Simple Regression

The Simple Linear Regression Model
Logarithmic Transformations
Unbiasedness and Variance of OLS
Hypothesis Testing in Simple Regression
Power and Optimal Sample Size for Regression Coefficient

Multiple Regression

Interpretation, Properties, and Specification
Categorical Variables and Interactions
Categorical Dependent Variables: Logit and Probit

Error Structure & Robust Inference

Heteroscedasticity

Causal Inference

Selection Bias and Randomized Controlled Experiments

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By Ricardo A. Pasquini

© Copyright 2023–2026 Ricardo A. Pasquini. All rights reserved.