Details about Miguel Henry

Access statistics for papers by Miguel Henry.

Last updated 2022-01-22. Update your information in the RePEc Author Service.

Short-id: phe668

Working Papers

2022

1. An Entropy-Based Approach for Nonparametrically Testing Simple Probability Distribution Hypotheses
   Papers, arXiv.org
   See also Journal Article in Econometrics (2022)

2021

2. Drivers of COVID-19 Outcomes: Evidence from a Heterogeneous SAR Panel Data Model
   London Stata Conference 2021, Stata Users Group
   Also in 2021 Stata Conference, Stata Users Group (2021)

2020

3. Socioeconomic Factors influencing the Spatial Spread of COVID-19 in the United States
   Boston College Working Papers in Economics, Boston College Department of Economics View citations (2)
   Also in London Stata Conference 2020, Stata Users Group (2020) View citations (2)

2018

4. An Information-Theoretic Approach to Estimating Willingness To Pay for River Recreation Site Attributes
   MPRA Paper, University Library of Munich, Germany View citations (2)

2012

5. An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes
   2012 Annual Meeting, August 12-14, 2012, Seattle, Washington, Agricultural and Applied Economics Association View citations (1)
6. Assessing U.S. Household Purchase Dynamics for Dietary Fiber
   2012 Annual Meeting, August 12-14, 2012, Seattle, Washington, Agricultural and Applied Economics Association

Journal Articles

2022

1. An Entropy-Based Approach for Nonparametrically Testing Simple Probability Distribution Hypotheses
   Econometrics, 2022, 10, (1), 1-19
   See also Working Paper (2022)

2019

2. Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series
   Econometrics, 2019, 7, (1), 1-16 View citations (1)

2015

3. Work Continuation while Treated for Breast Cancer
   ILR Review, 2015, 68, (4), 916-954 View citations (5)

Software Items

2019

1. PENTROPY: GAUSS module to compute Permutation Entropy point estimates of a time series
   Statistical Software Components, Boston College Department of Economics View citations (1)