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Assistant Professor of Practice
Area of Information Systems and Quantitative Sciences
Jerry S. Rawls College of Business
Texas Tech University
703 Flint Ave
Lubbock, Texas 79409
USA

Email: julian.ludwig@ttu.edu

CV: [PDF]

Office: E314 (Rawls College of Business)

Research

My research areas are macroeconomics and time series econometrics, with a focus on the estimation of forecasts and impulse response functions (IRFs), as well as the impact of expectations on business cycles. Below are selected papers that highlight my work:

• Local Projections Are VAR Predictions of Increasing Order
  Revise & Resubmit, Econometrica
  [Download This Paper (March 2026 Version)]
  [Download This Paper (July 2024 Version)]

• Identification of Rational Expectations Models Under Information Frictions
  [Download This Paper]

• Oil Prices and Inequality
  (with Xiaowen Lei and Xiaohan Ma)
  Forthcoming, European Economic Review
  [Download This Paper]

• The Effects of Expectation: Evidence from Text-Based Infectious Disease Data
  (with Ram Joshi, Xiaowen Lei, and Xiaohan Ma)
  Revise & Resubmit, Empirical Economics
  [Download This Paper]

• Diverging Macroeconomic Expectations and Business Cycles
  (with Xiaohan Ma)
  [Download This Paper]

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Teaching

I teach courses in data science, economics, and information systems, with an emphasis on real-world applications, programming, and clear, effective data communication. My courses are supported by custom-developed textbooks and teaching materials, all freely available online.

Textbooks

• Economic Data Analysis
  Available for free at www.julianfludwig.com/eda (preliminary version). This text explains how to use software to present economic and financial data. Recommended for ECO 3363 and 3364.

• Lecture Notes on Linear Time Series Models
  Available for free [here]. These notes introduce linear time series models, including key tools from polynomial and linear algebra. Recommended for ECO 4306.

Current Teaching

Texas Tech University — Jerry S. Rawls College of Business

ISQS 2377 Decision Making in Business (Undergraduate)
ISQS 4371 Analytics for Optimal Decision Making (Undergraduate)
ISQS 5346 Statistics for Data Science (Master’s)
ISQS 6350 Multivariate Analysis (Master’s)

Previous Teaching

Texas Tech University — Department of Economics

ECO 3323 Principles of Money, Banking and Credit (Undergraduate)
ECO 3363 Economic Data Analysis I (Undergraduate)
ECO 3364 Economic Data Analysis II (Undergraduate)
ECO 4306 Economic and Business Forecasting (Undergraduate)
ECO 5321 Macroeconomics I (Ph.D.)
ECO 5383 Time Series Econometrics (Ph.D.)

Wilfrid Laurier University — Lazaridis School of Business and Economics

EC 315 Forecasting Methods (Undergraduate)
EC 395 Applied Econometrics (Undergraduate)

Support

DataCamp provides free licenses for educators and their students via this initiative: www.datacamp.com/universities.