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ECONOMETRICAST
  • home
  • general blog
  • topics
    • econometrics
    • game theory
    • machine learning
    • optimization
    • quantitative finance
    • R
    • strategy

Introduction

Introduction to Econometrics

Introduction to Econometrics

Introduction to Econometrics

Econometrics is the application of statistical tools to answer economic questions using data. It helps identify relationships between variables, test hypotheses, and estimate the impact of policies, pricing, or market changes. The field supports decisions in government, business, and finance by quantifying how one factor affects another in real-world settings.

An introduction to the fundamentals of econometrics

Use Cases

Introduction to Econometrics

Introduction to Econometrics

Econometrics is the craft of turning data into decisions. This overview breaks down the three primary data types used in applied econometric work—cross-sectional, time series, and panel data—and demonstrates how each enables specific kinds of analysis, from estimating causal effects to forecasting future outcomes. 

Learn about use cases

background Knowledge

Calculus

This guide covers the essential calculus behind modern econometrics, from limits and derivatives to optimization and integration. It applies these tools to core methods like OLS, MLE, and GMM, and explores asymptotic theory using the delta method and Taylor expansions. Advanced results like the Envelope and Implicit Function Theorems are also included. The focus is on connecting math fundamentals to real econometric applications.

The Calculus Behind Econometric Models

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Dr. Robert Cobb

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