Devavrat Shah

Massachusetts Institute of Technology

Associate Professor

Cambridge, MA

United States

http://www.mit.edu/~devavrat/

SCHOLARLY PAPERS

3

DOWNLOADS

741

SSRN CITATIONS
Rank 30,354

SSRN RANKINGS

Top 30,354

in Total Papers Citations

25

CROSSREF CITATIONS

3

Scholarly Papers (3)

1.

Building Optimized and Hyperlocal Product Assortments: A Nonparametric Choice Approach

Number of pages: 32 Posted: 25 Jan 2017
Massachusetts Institute of Technology (MIT) - Sloan School of Management, New York University (NYU) - Department of Information, Operations, and Management Sciences and Massachusetts Institute of Technology
Downloads 510 (79,533)
Citation 3

Abstract:

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choice modeling, marketing-operations interface, nonparametric methods, assortment optimization

2.

Appendix: A Nonparametric Approach to Modeling Choice with Limited Data

Number of pages: 13 Posted: 15 Dec 2012
Massachusetts Institute of Technology (MIT) - Sloan School of Management, New York University (NYU) - Department of Information, Operations, and Management Sciences and Massachusetts Institute of Technology
Downloads 206 (209,140)
Citation 26

Abstract:

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nonparametric choice, choice models, revenue prediction, utility preference, preference list, marketing mix

3.

Adaptive Control of Covid-19 Outbreaks in India: Local, Gradual, and Trigger-Based Exit Paths from Lockdown

NBER Working Paper No. w27532
Number of pages: 30 Posted: 24 Jul 2020 Last Revised: 24 Sep 2022
University of Chicago - Law School, University of Chicago, World Bank Development Research Group (DECRG), Dartmouth College - Department of Economics, University of Warwick, University of Reading, Massachusetts Institute of Technology (MIT), King Abdulaziz City for Science and Technology (KACST), Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT) - Department of Economics, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT) and University of Chicago - Mansueto Institute for Urban Innovation
Downloads 25 (675,818)

Abstract:

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