Julia/Economics

A Tutorial Series for Economists Learning to Program in the Julia Language

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An Introduction to Structural Econometrics in Julia

This is a multi-part tutorial that begins with Julia installation instructions and ends with an application of Method of Simulated Moments estimation, adapted from my Julia introductory lecture at the University of Chicago.


 

Tutorial 0

Getting Started: Installing Julia, Julia Studio, and Packages Used in Economics

Upgrade to Julia Version 0.3.0


Tutorial 1

Introductory Example: Ordinary Least Squares (OLS) Estimation in Julia


Tutorial 2

Maximum Likelihood Estimation (MLE) in Julia: The OLS Example


Tutorial 3

Bootstrapping and Non-parametric p-values in Julia


Tutorial 4

Stepdown p-values for Multiple Hypothesis Testing in Julia


Tutorial 5

Parallel Processing in Julia: Bootstrapping the MLE


Tutorial 6

Kalman Filter for Panel Data and MLE in Julia, Part 1


Tutorial 7

Selection Bias Corrections in Julia, Part 1


Bradley J. Setzler

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Bradley Setzler

Postodoctoral Fellow
University of Chicago
www.BradleySetzler.com

Contents

  • An Introduction to Structural Econometrics in Julia
  • Fernández-Villaverde to Speak at Becker Friedman Institute
  • Selection Bias Corrections in Julia, Part 1
  • Upgrade to Julia Version 0.3.0
  • Kalman Filter for Panel Data and MLE in Julia, Part 1
  • Announcements
  • REVISITED: Julia vs Python Speed Comparison: Bootstrapping the OLS MLE
  • Parallel Processing in Julia: Bootstrapping the MLE
  • Julia Attracts an International Audience
  • Stepdown p-values for Multiple Hypothesis Testing in Julia
  • UPDATE: A Comparison of Programming Languages in Economics
  • Bootstrapping and Non-parametric p-values in Julia
  • Maximum Likelihood Estimation (MLE) in Julia: The OLS Example
  • Introductory Example: Ordinary Least Squares (OLS) Estimation in Julia
  • Getting Started: Installing Julia, Julia Studio, and Packages used in Economics
  • Why I Switched to Julia
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