Research

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

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