News

August 1-5 - Hitotsubashi Summer Institute 2016 - Tokyo, Japan
August 1-5 - Hitotsubashi Summer Institute 2016 - Tokyo, Japan
The 2nd Annual Hitotsubashi Summer Institute will take place at Hitotsubashi University. The conference aims to present and discuss research[...]
August 1 & 2 - Japan Project Meeting - Tokyo, Japan
August 1 & 2 - Japan Project Meeting - Tokyo, Japan
Japan Project Meeting is jointly sponsored by the NBER, the Center for Advanced Research in Finance, the Center on Japanese[...]
July 14-15 - Special Seminar on Transportation and Logistics - Osaka, Japan
July 14-15 - Special Seminar on Transportation and Logistics - Osaka, Japan
Seminars organized by the Scheduling Society of Japan featuring Pitu Mirchandani and Stefan Voss Program[...]
July 2- 5 - The Data Envelopment Analysis International Conference 2016 - Nanjing, China
July 2- 5 - The Data Envelopment Analysis International Conference 2016 - Nanjing, China
Data Envelopment Analysis (DEA) has been widely used for performance evaluation. In July 2016, Nanjing Audit University will host The[...]
June 15 - 18  – North American Productivity Workshop IX - Quebec City, Canada
June 15 - 18 – North American Productivity Workshop IX - Quebec City, Canada
The North American Productivity Workshop (NAPW) is a Biennial workshp that brings together academic scholars and practitioners in the field[...]

Seminars/presentation

Ongoing work

  • Sweet or Sour? The Potential for U.S.-Cuban Trade in Sugar

    This project seeks to analyze the potential for U.S.-Cuban sugar trade with a particular focus on Cuban sugar production. Cuba has historically been an important global sugar producer and U.S. sugar producers are sensitive to foreign competition. Furthermore, the potential for Cuban liberalization and subsequent possible inflow of foreign investment makes analysis of this industry important. The project’s implications are significant for U.S. sugar producers, U.S. national agricultural policy, and for agricultural development in developing countries generally.

  • Evaluating Production Function Estimators on Manufacturing Survey Data

    Organizations like census bureaus rely on non-exhaustive surveys to estimate industry population-level production functions. In this paper we propose selecting an estimator based on a weighting of its in-sample and predictive performance on actual application datasets. We compare Cobb-Douglas functional assumptions to existing nonparametric shape constrained estimators and a newly proposed estimated presented in this paper. For actual data, specifically the 2010 Chilean Annual National Industrial Survey, a Cobb-Douglas specification describes at least 90% as much variance as the best alternative estimators in practically all cases considered.

  • How inefficient are U.S. hospitals? What changes can lead to improvement?

    We use U.S. hospital data from 2004 to 2011 to estimate a cost function using a Bayesisan semi-nonparametric method that allows for a heteroskedastic inefficiency. Moreover, we evaluate what is the impact of variables, such as region and hospital size, on cost estimating both the size and robustness of the variables in terms of reducing cost for hospitals.

  • Adaptively Partitioned Convex Nonparametric Least Squares

    This research overcomes both the decreased accuracy of Convex Adaptive Partitioning on real production survey datasets and the cross-validation performance challenges of CNLS to create a robust and scalable adaptive partitioning-based convex regression method.

  • Shape Constrained Kernel-weighted Least Squares (SCKLS)

    SCKLS (shape constrained kernel-weighted least squares) estimator integrates kernel-weighting to convex nonparametric least squares.