I am a macroeconomist with interests in computational economics, law and economics, environmental economics, and corporate finance. My work combines theory, empirical identification and structural estimation of computationally-intensive heterogeneous agents models to study the general equilibrium implications of law changes and economic policies. My interests fall into four inter-connected areas: • Hardware Acceleration of Economic Models; • Corporate Default in General Equilibrium; • Economic Policy and Uncertainty; • Unintended Consequences of Laws and Regulations. I am focused on the development and popularization of hardware acceleration for the solution of economic models. In this context, I am the first economist to use Field Programmable Gate Arrays for accelerating economic models. Finally, I have been studying the evolution of CEO’s network in the aftermath of the German reunification.
keywords
Computational Economics, Law and Economics, Environmental Economics, FPGA Programming, High Performance Computing, Corporate Finance
ECON 2020 - Principles of Macroeconomics
Primary Instructor
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Spring 2018 / Spring 2019 / Spring 2020 / Spring 2021 / Spring 2023 / Spring 2024
Provides an overview of the economy, examining the flows of resources and outputs and the factors determining the levels of income and prices. Explores policy problems of inflation, unemployment and economic growth.
ECON 7040 - Macroeconomic Theory 2
Primary Instructor
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Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022 / Spring 2023 / Spring 2024
Continuation of ECON 7020. Develops the mathematical foundations of dynamic optimization and applies numerical methods to study dynamic and stochastic general equilibrium macroeconomic models. Topics covered include the business cycle, real and nominal rigidities, search and matching frictions, and financial frictions. Instructor consent required.
