My name is Jangho Yang, I´m a Postdoctoral Research Fellow for the Oxford Martin Programme on Technological and Economic Change at the Oxford Martin School, University of Oxford.

On this website you will find some of  my research and experience. You can also view my CV and contact information.

Do not hesitate to get in touch.

Jangho Yang



I have a wide range of teaching experience, from mentoring and tutoring undergraduate students in their research, to teaching introductory economics and graduate-level econometric courses. My teaching has been recognized by The New School, and I have had the honor of receiving the “Outstanding Student Teaching Award” in 2016, recognizing the best student teacher of the year. In 2017, I was awarded the “Eugene Lang Social Science Fellowship,” a grant awarded to an outstanding Ph.D. student to provide supervision to an advanced undergraduate student to write a high-quality research paper.

  • Lab Instructor, Advanced Econometrics, New School for Social Research

Syllabus design, problem set design, learning goals, assessment, teaching Bayesian econometric models using R (Fall 2016, Spring 2017, Fall 2017)

Example problem sets










  • Teaching Assistant, Intro to Political Economy, taught by Prof. Paulo dos Santos, Eugene Lang College of Liberal Arts (Fall 2016)

Held weekly lab session, graded exams, taught basic concepts of political economy, microeconomics, and macroeconomics.



My main research fields are the Economics of Technical Change and Economic Growth; Information and Economics; and Bayesian Econometrics. The following is the list of published journal articles, book chapters, and working papers. I also include some ongoing projects in Work in Progress section.

Journal Articles

1. Yang, J.  “Information Theoretic Approaches in Economics, The Journal of Economic Surveys, 2017

I review key elements of information theory, focusing on notions and applications of entropy and statistical equilibrium in economics, paying particular attention to how entropy concepts open up a new front line for economic research.

2. Yang, J. “A Quantal Response Statistical Equilibrium Model of Induced Technical Change in an Interactive Factor Market: Firm-Level Evidence in the EU Economies,” Entropy, 2018

I report on a persistent pattern of technical change at the firm level and analyze firms’ the rate of cost reduction (the growth rate of TFP) by using a maximum entropy model with the constraints on agent’s quantal response and the dynamics of the factor market.

3. Yang, J. and Torres, D. “The Persistent Statistical Structure of the US Input-Output Coefficient Matrices: 1963-2007,”  Economic Systems Research, 2019

We report on the persistent statistical patterns of the US Input-Output tables and show that the inter-industry relations are stable in the US economy over the past 5 decades.


Working papers

1. Yang, J. “Information-Theoretic Model of Induced Technological Change: Theory and Empirics”,  Under Review.

I develop an information-theoretic model of Induced Technical Change where payoff-maximizing agents are exposed to a positive degree of uncertainty in adopting new technology due to unobserved cost factors. The derived equilibrium of the model comes in the form of a non-degenerate probability distribution that defines the distance of productivity growth from the potential maximum growth on the innovation possibility frontier, often called Technical Inefficiency Function (TIF) in the frontier estimation literature. I test the model using KLEMS data and show that the gamma TIF well explains the productivity deviation of EU industries from the theoretical frontier.

2. dos Santos, P. and Yang, J. Arbitrage, Information, and the Competitive Organization of Profitability Distributions”, R&R.

We report on the easily reproducible finding that the profitability of enterprises has a persistent cross-sectional distribution across a number of advanced economies. We show that the asymmetric Laplace distribution with the Pareto tails can be a good model for this pattern and discuss its economic implications based on the arbitrage seeking behavior of firms.

3. Yang, J. and Carro, A. “Two Tales of Complex System Analysis: ABM and MaxEnt”,  Under Review.

We argue in this paper that maximum entropy modeling and agent-based modeling can complement each other, providing a powerful conceptual/empirical tool for the analysis of complex economic problems.

Work in Progress

  1. “Information-Constrained Behavior, Technological Frontier, and Equilibrium:  Theory and Simulations”
  2. “Measuring Firm-Level Productivity Dispersion,” with Torsten Heinrich and Julian Winkler, François Lafond, Pantelis Koutroumpis, and Doyne Farmer
  3. “The Corporate Global Savings Glut and Inequality,” with Ilan Strauss
  4. “Input-Output Linkages and Economic Growth” with Advait Rajagopal and Luis Daniel Torres Gonzalez, François Lafond, and Doyne Farmer
  5. “On the Rational of Maximum Entropy Methods in Economics” with Ellis Scharfenaker