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

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 econometrics 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.

My proposed syllabi for Bayesian data analysis are available here and here.

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

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

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; Firm-Level Data Analysis; Bayesian Econometrics; and Information Theory. 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.

**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’ rates of cost reduction (the growth rate of TFP) by using a maximum entropy model with the constraints on the 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.

**4. Yang, J. and Carro, A., **“Two Tales of Complex System Analysis: ABM and MaxEnt”, *EPJST, forthcoming.*

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.

**5. **dos Santos, P**.** and **Yang, J., **“Arbitrage, Information, and the Competitive Organization of Profitability Distributions”, *Advances in Complex Systems, forthcoming**.*

This paper shows that large-sample cross-sections of rate of return on capital (RoC) across several European economies are persistently well described by the same functional form: Sharply peaked distributions with stretched-exponential tails. To account for this observation, the paper develops a systemic model of the competitive regulation of profitability by the pursuit of arbitrage profits latent in any heterogeneity across values of RoC.

**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. Yang, J., **Torsten Heinrich, Julian Winkler, François Lafond, Pantelis Koutroumpis, and Doyne Farmer,** **“Measuring Productivity Dispersion: a Parametric Approach Using the Levy *α*-Stable Distribution,” *Submitted.*

We propose to model the distributions of labor productivity using the four-parameter Levy stable distribution, a natural candidate deriving from the generalized Central Limit Theorem. We show that it is a better fit than several standard alternatives, and is remarkably consistent over time, countries and sectors. The distributional approach allows us to test different measures of dispersion and find that productivity dispersion has slightly decreased over the past decade.

**3. **Ilan Strauss** & Yang, J.,**** **“The Global Investment Slowdown: Corporate Secular Stagnation and the Draining of the Cash Flow Swamp,” *Submitted.*

Using a Bayesian ‘mixed effects’ model we estimate competing explanations for the investment slowdown on a large panel of firms with time-varying and country-varying coefficients. This allows us to explore microeconomic (firm-level) explanations and macroeconomic (country- and time-level) explanations. Evidence for key supply side, firm-level, impediments to the investment are absent: advanced economy firms are financially unconstrained and remain responsive to investment opportunities (proxied by time-varying Q coefficients). Instead, differences in firms’ investment rates across time, and between countries, can largely be explained by our secular stagnation predictor, and reflect common exogenous secular shocks generating a chronic excess of cash flow over investment opportunities across all advanced economy firms. Secular stagnation causes are proxied using a novel ‘net external financing demand’ predictor, which shows that firms and the corporate sector as a whole in advanced economies are net external ‘releasers’ of funds to shareholders, creditors, and bondholders.

**4. Yang, J.,** Luis Daniel Torres Gonzalez, Advait Rajagopal, François Lafond, and Doyne Farmer,** **“Economic development and the structure of input-output linkages,” *Submitted.*

We develop a multisectoral closed-economy accounting model in which the interplay of sectoral shares and input-output linkages plays a major role in determining GDP growth. In the model, countries’ GDP growth rates are related to the average total backward linkages in the economy and to the covariance between sectoral backward linkages and the sectoral shares in final demand, which we call linkage efficiency. Using a multilevel regression model and the World Input-Output Database, we further demonstrate that the lower-income countries have a much higher positive effect of linkage efficiency on the GDP growth compared to top income level countries.

- “Information-Constrained Behavior, Technological Frontier, and Equilibrium: Theory and Simulations”
- “On the Rational of Maximum Entropy Methods in Economics,” with Ellis Scharfenaker
- “Growth, development, and structural change at the rm level: The example of the PR China,” with Torsten Heinrich and Shuanping Dai
- “Heterogeneity and Persistence of Product Price Changes,” with

Valentina Semenova, François Lafond, and Doyne Farmer - “Firm-Level Wage Dispersion,” with Julian Winkler

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