Oxford Martin School: https://www.oxfordmartin.ox.ac.uk
INET at Oxford University: https://www.inet.ox.ac.uk
New School for Social Research: https://www.newschool.edu/nssr/
Seoul National University: http://www.useoul.edu
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.
Syllabus design, problem set design, learning goals, assessment, teaching Bayesian econometric models using R (Fall 2016, Spring 2017, Fall 2017)
Example problem sets
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.
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.
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 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.
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 Distributions of Profitability,” with Paulo dos Santos, 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.
Work in Progress
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.