Rowan Morkner - Economics Research Portfolio

B.A. Financial and Quantitative Economics candidate at CSU Chico with expertise in econometrics, statistical modeling, and economic forecasting. Specializing in Phillips Curve analysis and macroeconomic research.

3.87 GPA
3 Research Papers
Rowan Morkner - Economics Researcher and Data Scientist at CSU Chico

About Rowan Morkner - Economics Researcher

I am Rowan Morkner, an Economics major with a Data Science certificate at California State University, Chico, passionate about applying economic theory, data analysis, and programming to solve complex business and regulatory challenges. My research focuses on econometric modeling, Phillips Curve analysis, and macroeconomic forecasting.

My professional experience spans from data science consulting at the Wildcat Data Hub to financial analysis at Ansil Investments, where I've developed expertise in econometric modeling, statistical analysis, and quantitative research using R, Python, and Stata.

Technical Skills

Programming

  • R
  • Python
  • Stata
  • Excel
  • Web Development

Analysis

  • Econometrics
  • Statistical Modeling
  • Economic Forecasting
  • Data Visualization

Research Papers by Rowan Morkner

A collection of my academic research in economics, econometrics, and forecasting

Macroeconomic Forecasting: A Critique

Forecasting

This paper reviews the history and limits of economic forecasting, from the Phillips Curve to the Lucas Critique and modern DSGE and machine learning models. It argues that while forecasting guides policy, the complexity of economies and unexpected shocks make long-term accuracy inherently uncertain

2024 Economic Analysis

Examining Formulations of the Phillips Curve

Econometrics

This paper analyzes different versions of the Phillips Curve, comparing simple, expectation-augmented, and lagged models. Results show that basic models explain little, while adding expectations and lags captures the dynamic link between unemployment and inflation more effectively, offering insights into policy and forecasting.

2024 Statistical Modeling

Calculus Project Analysis

Lorenz Curve and Gini Coefficient

This project estimates income inequality in the U.S. using household census data. By fitting a Lorenz curve with nonlinear regression and integrating the result, the Gini coefficient is calculated at about 0.42. The study demonstrates both computational and manual methods, illustrating how inequality can be quantified with statistical modeling.

2024 Mathematical Analysis

Get In Touch with Rowan Morkner

Interested in discussing research opportunities or economic consulting roles

Education

CSU Chico - B.A. Financial and Quantitative Economics

Data Science Certificate Program

Current Role

Intern Data Science Consultant - Wildcat Data Hub

Economics Tutor - Chico State Economics Department

Contact Information

Email: [email protected]

GitHub: rowanmorkner