[Colloquium] Seminar Announcement: Hierarchical structural model-based data analysis in economics: from data to models and back again

[Ninfa Mayorga]

~REMINDER~ 

Computation Institute Presentation - Data Lunch Seminar (DLS)

Speaker: Victor Zhorin, Computation Institute, University of Chicago
Host:  Tanu Malik and Kyle Chard
Date:  October 10, 2014
Time: 12:00 PM - 1:00 PM
Location: University of Chicago, Searle 240A, 5735 S. Ellis Ave.

Hierarchical structural model-based data analysis in economics: from data to models and back again

Abstract: 
This talk focuses on the use of theory, models and computations as a way of both to interpret empirically observed data and also to drive the design of data collecting process as well as policy making decisions. By looking at data through the lens of economic theory we explore entrepreneurship and wealth creation, financial deepening and growth, industrial organization and contract design, the role of uncertainty and ambiguity.  Data-driven development of the new generation of economic models is discussed. An iterative approach leads us from data generated patterns to better theories that require more precisely specified data collection processes to be put in place.
 
Bio: 
Victor Zhorin is a senior research associate at Computation Institute, University of Chicago. He has a Ph.D. in solid-state physics and an MBA with concentrations in analytic finance, economics, econometrics and entrepreneurship. His work included developing techniques for the evaluation of financial services and other programs with general equilibrium effects; the optimal design of financial institutions and markets under  limited liability constraints and information frictions such as moral hazard, adverse selection as well as the combinations of those; and the industrial organization of financial and health service markets. He concentrates on the next generation of micro-founded macro models that incorporate space and the environment using Geographic Information Systems (GIS), climate models, and enhanced computational methods.
 
Information: Lunch will be provided


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