• Associate Professor, Economics Department
  • Assistant Professor, Economics Department


  • Ellis Scharfenaker (2024). Measures of firm performance and concentration: Stylized facts and a dilemma of data reproduction. Economics Letters. Published, 01/01/2024.
  • Ellis Scharfenaker (2020). Statistical Equilibrium Methods in Analytical Political Economy. Journal of Economic Surveys. Published, 12/02/2020.
  • Ellis Scharfenaker (2020). Implications of Quantal Response Statistical Equilibrium. Journal of Economic Dynamics and Control. Vol. 119. Published, 09/14/2020.
  • Ellis Scharfenaker & Jangho Yang (2020). Maximum Entropy Economics. The European Physical Journal Special Topics. Vol. 229. Published, 07/07/2020.
  • Ellis Scharfenaker & Markus P. A. Schneider (2020). Mixing it up: The case for finite mixture models to study the distribution of income. The European Physical Journal Special Topics. Vol. 229. Published, 07/07/2020.
  • Ellis Scharfenaker & Paulo L. dos Santos (2019). Competition, self-organization, and social scaling—accounting for the observed distributions of Tobin’s q. Industrial and Corporate Change. Published, 06/25/2019.
  • Ellis Scharfenaker & Duncan K. Foley (2017). Quantal Response Statistical Equilibrium in Economic Interactions: Theory and Estimation. Entropy. Published, 08/23/2017.
  • Ellis Scharfenaker & Gregor Semieniuk (2016). A Statistical Equilibrium Approach to the Rate of Profit. Metroeconomica. Published, 06/07/2016.
  • Ellis Scharfenaker & Paulo L. dos Santos (2015). The Distribution and Regulation of Tobin’s Q. Economic Letters. Published, 11/04/2015.
  • Ellis Scharfenaker & Gregor Semieniuk (2015). A Bayesian Mixture Model for Filtering Firms’ Profit Rates. Springer Proceedings in Mathematics & Statistics. Published, 01/04/2015.
  • Ellis Scharfenaker & Markus P. Schneider (2014). Labor Market Segmentation and the Distribution of Income: New Evidence from Internal Census Bureau Data. Columbia University Press. Accepted, 12/02/2014.

Research Statement

Social science addresses systems in which the individual actions of diverse participants interacting in complex, non-additive ways through institutional structures determine social outcomes. In many cases, economic and social institutions play a significant role in regulating and organizing social interactions resulting in outcomes that have perceptible statistical effects at the macroeconomic level. My research focuses on understanding the relationship between these aggregate social outcomes and the structural mechanisms that generate them. The objective of this research is to understand how economic and social institutions lead to the emergence of particular distributional outcomes of variables such as income, wealth, profit, output, growth, and technical change, and to articulate a statistically based theory of the institutional and structural elements of economic systems that can account for and inform our understanding of observed macroeconomic phenomena. 


Research Keywords

  • Statistical Mechanics
  • Statistical Inferences
  • R
  • Political Economy
  • Philosophy of Science
  • Microeconomics
  • Maximum Entropy
  • Information Theory
  • Bayesian Econometrics