Heinrich, Torsten (2014): Resource Depletion, Growth, Collapse, and the Measurement of Capital.
Heinrich, Torsten (2015): A Replicator Dynamic and Simulation Analysis of Network Externalities and Compatibility Among Standards.
Heinrich, Torsten and Dai, Shuanping (2014): Diversity of Firm Sizes, Complexity, and Industry Structure in the Chinese Economy.
Heinrich, Torsten (2013): The ongoing history of economic conservation laws.
Heinrich, Torsten (2015): A Discontinuity Model of Technological Change: Catastrophe Theory and Network Structure.
Heinrich, Torsten (2015): Evolution-Based Approaches in Economics and Evolutionary Loss of Information.
Heinrich, Torsten (2016): The Narrow and the Broad Approach to Evolutionary Modeling in Economics.
Gräbner, Claudius and Heinrich, Torsten and Kudic, Muhamed (2017): Network theory and social economics - a promising conjunction?
Heinrich, Torsten and Gräbner, Claudius (2017): Beyond Equilibrium: Revisiting Two-Sided Markets from an Agent-Based Modeling Perspective.
Heinrich, Torsten (2015): Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis.
Flechtner, Svenja and Heinrich, Torsten (2017): Interpreting sufficiency in fsQCA: A reply to Marques and Salavisa (2017).
Heinrich, Torsten and Sabuco, Juan and Farmer, J. Doyne (2019): A simulation of the insurance industry: The problem of risk model homogeneity.
Heinrich, Torsten and Yang, Jangho and Dai, Shuanping (2020): Levels of structural change: An analysis of China's development push 1998-2014.
Heinrich, Torsten and Yang, Jangho and Dai, Shuanping (2020): Growth, development, and structural change at the firm-level: The example of the PR China.
Heinrich, Torsten (2021): Epidemics in modern economies.
Yang, Jangho and Heinrich, Torsten and Winkler, Julian and Lafond, François and Koutroumpis, Pantelis and Farmer, J. Doyne (2022): Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution.
Heinrich, Torsten and Yang, Jangho (2022): Innovation in times of Covid-19.
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