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Miguel Henry

Personal Details

First Name:Miguel
Middle Name:
Last Name:Henry
Suffix:
RePEc Short-ID:phe668
QuantEcon Research
Terminal Degree:2012 School of Economic Sciences; Washington State University (from RePEc Genealogy)

Research output

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Jump to: Working papers Articles Software

Working papers

  1. Christopher F Baum & Andrés Garcia-Suaza & Miguel Henry & Jesús Otero, 2024. "Drivers of COVID-19 in U.S. counties: A wave-level analysis," Boston College Working Papers in Economics 1067, Boston College Department of Economics.
  2. Andrés Garcia-Suaza & Miguel Henry & Jesús Otero & Kit Baum, 2022. "Drivers of COVID-19 deaths in the United States: A two-stage modeling approach," Swiss Stata Conference 2022 07, Stata Users Group.
  3. Ron Mittelhammer & George Judge & Miguel Henry, 2022. "An Entropy-Based Approach for Nonparametrically Testing Simple Probability Distribution Hypotheses," Papers 2201.06647, arXiv.org.
  4. Kit Baum & Miguel Henry, 2021. "Drivers of COVID-19 outcomes: Evidence from a heterogeneous SAR panel-data model," 2021 Stata Conference 34, Stata Users Group.
  5. Christopher F Baum & Miguel Henry, 2020. "Socioeconomic Factors influencing the Spatial Spread of COVID-19 in the United States," Boston College Working Papers in Economics 1009, Boston College Department of Economics, revised 02 Oct 2020.
  6. Henry, Miguel & Mittelhammer, Ron & Loomis, John, 2018. "An Information-Theoretic Approach to Estimating Willingness To Pay for River Recreation Site Attributes," MPRA Paper 89842, University Library of Munich, Germany.
  7. Henry-Osorio, Miguel & Dong, Diansheng, 2012. "Assessing U.S. Household Purchase Dynamics for Dietary Fiber," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123954, Agricultural and Applied Economics Association.
  8. Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "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 123432, Agricultural and Applied Economics Association.

Articles

  1. Christopher F. Baum & Miguel Henry, 2022. "Socio-economic and demographic factors influencing the spatial spread of COVID-19 in the USA," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 12(4), pages 366-380.
  2. Ron Mittelhammer & George Judge & Miguel Henry, 2022. "An Entropy-Based Approach for Nonparametrically Testing Simple Probability Distribution Hypotheses," Econometrics, MDPI, vol. 10(1), pages 1-19, January.
  3. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.
  4. David Neumark & Cathy J. Bradley & Miguel Henry & Bassam Dahman, 2015. "Work Continuation while Treated for Breast Cancer," ILR Review, Cornell University, ILR School, vol. 68(4), pages 916-954, August.

Software components

  1. Erica Clower & Miguel Henry, 2019. "PENTROPY: GAUSS module to compute Permutation Entropy point estimates of a time series," Statistical Software Components G00016, Boston College Department of Economics.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Christopher F Baum & Miguel Henry, 2020. "Socioeconomic Factors influencing the Spatial Spread of COVID-19 in the United States," London Stata Conference 2020 05, Stata Users Group.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health

Working papers

  1. Christopher F Baum & Miguel Henry, 2020. "Socioeconomic Factors influencing the Spatial Spread of COVID-19 in the United States," Boston College Working Papers in Economics 1009, Boston College Department of Economics, revised 02 Oct 2020.

    Cited by:

    1. Héctor López-Mendoza & Antonio Montañés & F. Javier Moliner-Lahoz, 2021. "Disparities in the Evolution of the COVID-19 Pandemic between Spanish Provinces," IJERPH, MDPI, vol. 18(10), pages 1-20, May.
    2. Ahumada, Hildegart & Espina, Santos & Navajas, Fernando H., 2020. "COVID-19 with uncertain phases: estimation issues with an illustration for Argentina," MPRA Paper 101466, University Library of Munich, Germany.
    3. Angelo Cozzubo & Javier Herrera & François Roubaud & Mireille Razafindrakoto, 2021. "El impacto de políticas diferenciadas de cuarentena sobre la mortalidad por COVID-19: el caso de Brasil y Perú," Working Papers DT/2021/05, DIAL (Développement, Institutions et Mondialisation).
    4. Irene González Rodríguez & Marta Pascual Sáez & David Cantarero Prieto, 2022. "The dynamics of COVID-19: An empirical analysis with a view to spatial health econometrics using macrodata," Working Papers. Collection B: Regional and sectoral economics 2201, Universidade de Vigo, GEN - Governance and Economics research Network.

  2. Henry, Miguel & Mittelhammer, Ron & Loomis, John, 2018. "An Information-Theoretic Approach to Estimating Willingness To Pay for River Recreation Site Attributes," MPRA Paper 89842, University Library of Munich, Germany.

    Cited by:

    1. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.
    2. Kai Xiong & Fanbin Kong & Ning Zhang & Ni Lei & Chuanwang Sun, 2018. "Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin," Sustainability, MDPI, vol. 10(7), pages 1-17, June.

  3. Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "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 123432, Agricultural and Applied Economics Association.

    Cited by:

    1. Kai Xiong & Fanbin Kong & Ning Zhang & Ni Lei & Chuanwang Sun, 2018. "Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin," Sustainability, MDPI, vol. 10(7), pages 1-17, June.

Articles

  1. Christopher F. Baum & Miguel Henry, 2022. "Socio-economic and demographic factors influencing the spatial spread of COVID-19 in the USA," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 12(4), pages 366-380.

    Cited by:

    1. Christopher F Baum & Andrés Garcia-Suaza & Miguel Henry & Jesús Otero, 2024. "Drivers of COVID-19 in U.S. counties: A wave-level analysis," Boston College Working Papers in Economics 1067, Boston College Department of Economics.

  2. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.

    Cited by:

    1. Vicente J. Bolós & Rafael Benítez & Román Ferrer, 2020. "A New Wavelet Tool to Quantify Non-Periodicity of Non-Stationary Economic Time Series," Mathematics, MDPI, vol. 8(5), pages 1-16, May.
    2. Shahriari, Zahra & Nazarimehr, Fahimeh & Rajagopal, Karthikeyan & Jafari, Sajad & Perc, Matjaž & Svetec, Milan, 2022. "Cryptocurrency price analysis with ordinal partition networks," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    3. Andres M. Kowalski & Mariela Portesi & Victoria Vampa & Marcelo Losada & Federico Holik, 2022. "Entropy-Based Informational Study of the COVID-19 Series of Data," Mathematics, MDPI, vol. 10(23), pages 1-16, December.

  3. David Neumark & Cathy J. Bradley & Miguel Henry & Bassam Dahman, 2015. "Work Continuation while Treated for Breast Cancer," ILR Review, Cornell University, ILR School, vol. 68(4), pages 916-954, August.

    Cited by:

    1. Matthew J. Hill & Nicole Maestas & Kathleen J. Mullen, 2014. "Employer accommodation and labor supply of disabled workers," Economics Working Papers 1450, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Candon, David, 2018. "The effect of cancer on the labor supply of employed men over the age of 65," Economics & Human Biology, Elsevier, vol. 31(C), pages 184-199.
    3. David Candon, 2019. "The joint effect of health shocks and eligibility for social security on labor supply," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 969-988, September.
    4. Anna Kollerup & Jacob Ladenburg, 2021. "Willingness to pay for accommodating job attributes when returning to work after cancer treatment: A discrete choice experiment with Danish breast cancer survivors," LABOUR, CEIS, vol. 35(3), pages 378-411, September.
    5. Derbyshire, Daniel W. & Jeanes, Emma & Khedmati Morasae, Esmaeil & Reh, Susan & Rogers, Morwenna, 2024. "Employer-focused interventions targeting disability employment: A systematic review," Social Science & Medicine, Elsevier, vol. 347(C).
    6. Kollerup, Anna & Ladenburg, Jacob & Heinesen, Eskil & Kolodziejczyk, Christophe, 2021. "The importance of workplace accommodation for cancer survivors – The role of flexible work schedules and psychological help in returning to work," Economics & Human Biology, Elsevier, vol. 43(C).

Software components

  1. Erica Clower & Miguel Henry, 2019. "PENTROPY: GAUSS module to compute Permutation Entropy point estimates of a time series," Statistical Software Components G00016, Boston College Department of Economics.

    Cited by:

    1. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 12 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-HEA: Health Economics (8) 2020-06-08 2020-09-21 2021-08-16 2021-09-20 2022-09-19 2023-01-02 2024-04-29 2024-05-13. Author is listed
  2. NEP-ORE: Operations Research (3) 2020-06-08 2021-08-16 2021-09-20
  3. NEP-URE: Urban and Real Estate Economics (3) 2020-06-08 2020-09-21 2021-09-20
  4. NEP-DCM: Discrete Choice Models (2) 2012-06-05 2018-12-24
  5. NEP-ECM: Econometrics (2) 2018-12-24 2022-02-21
  6. NEP-ENV: Environmental Economics (2) 2012-06-05 2018-12-24
  7. NEP-ISF: Islamic Finance (2) 2021-08-16 2021-09-20
  8. NEP-GEO: Economic Geography (1) 2020-06-08
  9. NEP-INV: Investment (1) 2024-04-29
  10. NEP-MFD: Microfinance (1) 2023-07-10
  11. NEP-TUR: Tourism Economics (1) 2012-06-05
  12. NEP-UPT: Utility Models and Prospect Theory (1) 2018-12-24

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