25 Years IWH

Professor Liuchun Deng, PhD

Professor Liuchun Deng, PhD
Current Position

since 10/17

Economist in the Department of Structural Change and Productivity

Halle Institute for Economic Research (IWH) – Member of the Leibniz Association

since 10/17

Assistant Professor in Structural Change and Productivity

Friedrich Schiller University Jena

Research Interests

  • structural change and international trade
  • economic dynamics

Liuchun Deng joined the Department of Structural Change and Productivity in October 2017. Since then, he is also Assistant Professor at the Friedrich Schiller University Jena. His research interests are international trade, economics of networks, and economic development.

Liuchun Deng received his bachelor's degree in economics and statistics from Peking University in 2011. He obtained his PhD in economics from The Johns Hopkins University. In April 2017, he successfully defended his thesis entitled "Three Essays on International Trade and Economic Growth".

Your contact

Professor Liuchun Deng, PhD
Professor Liuchun Deng, PhD
Mitglied - Department Structural Change and Productivity
Send Message +49 345 7753-873 Personal page



Criminal network formation and optimal detection policy: The role of cascade of detection

Liuchun Deng Yufeng Sun

in: Journal of Economic Behavior & Organization , 2017


This paper investigates the effect of cascade of detection, how detection of a criminal triggers detection of his network neighbors, on criminal network formation. We develop a model in which criminals choose both links and actions. We show that the degree of cascade of detection plays an important role in shaping equilibrium criminal networks. Surprisingly, greater cascade of detection could reduce ex ante social welfare. In particular, we prove that full cascade of detection yields a weakly denser criminal network than that under partial cascade of detection. We further characterize the optimal allocation of the detection resource and demonstrate that it should be highly asymmetric among ex ante identical agents.

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