IDEAS home Printed from https://ideas.repec.org/f/pbe1106.html
   My authors  Follow this author

David Harry Bernstein

Personal Details

First Name:David
Middle Name:Harry
Last Name:Bernstein
Suffix:
RePEc Short-ID:pbe1106
[This author has chosen not to make the email address public]
http://www.davidharrybernstein.com
Twitter: @davidhbernstein
Terminal Degree:2020 Department of Economics; Miami Herbert Business School; University of Miami (from RePEc Genealogy)

Affiliation

Department of Economics
Miami Herbert Business School
University of Miami

Coral Gables, Florida (United States)
https://herbert.miami.edu/economics
RePEc:edi:demiaus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Andor, Mark Andreas & Bernstein, David H. & Parmeter, Christopher F. & Sommer, Stephan, 2023. "Internal meta-analysis for Monte Carlo simulations," Ruhr Economic Papers 997, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  2. David H. Bernstein & Andrew B. Martinez, 2021. "Jointly Modeling Male and Female Labor Participation and Unemployment," Working Papers 2021-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
  3. Andor, Mark Andreas & Bernstein, David H. & Sommer, Stephan, 2020. "Determining the efficiency of residential electricity consumption," Ruhr Economic Papers 870, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  4. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.
  5. David Bernstein & Bent Nielsen, 2014. "Asymptotic theory for cointegration analysis when the cointegration rank is deficient," Economics Papers 2014-W06, Economics Group, Nuffield College, University of Oxford.

Articles

  1. Emir Malikov & Shunan Zhao & Subal C. Kumbhakar & David H. Bernstein, 2025. "Estimating production functions using costs when outputs are restricted," Econometric Reviews, Taylor & Francis Journals, vol. 44(4), pages 433-461, April.
  2. David H. Bernstein, 2024. "Enhancing Efficiency: Halton Draws in the Generalized True Random Effects Model," Econometrics, MDPI, vol. 12(4), pages 1-19, November.
  3. Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
  4. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.
  5. David H. Bernstein & Andrew B. Martinez, 2021. "Jointly Modeling Male and Female Labor Participation and Unemployment," Econometrics, MDPI, vol. 9(4), pages 1-14, December.
  6. Bernstein, David H., 2020. "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, Elsevier, vol. 147(C).
  7. David H. Bernstein & Bent Nielsen, 2019. "Asymptotic Theory for Cointegration Analysis When the Cointegration Rank Is Deficient," Econometrics, MDPI, vol. 7(1), pages 1-24, January.
  8. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.

Chapters

  1. Subal C. Kumbhakar & David H. Bernstein, 2021. "Does Xistence of Inefficiency Matter to a Neoclassical Xorcist? Some Econometric Issues in Panel Stochastic Frontier Models," Springer Proceedings in Business and Economics, in: Christopher F. Parmeter & Robin C. Sickles (ed.), Advances in Efficiency and Productivity Analysis, pages 139-161, Springer.

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.

    Mentioned in:

    1. Returns to scale in electricity generation: Replicated and revisited (Energy Economics 2019) in ReplicationWiki ()

Working papers

  1. David H. Bernstein & Andrew B. Martinez, 2021. "Jointly Modeling Male and Female Labor Participation and Unemployment," Working Papers 2021-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Jamie Emerson, 2023. "Education, employment, and labor force participation in the United States," Economics Bulletin, AccessEcon, vol. 43(3), pages 1377-1388.
    2. Andrew B. Martinez & Neil R. Ericsson, 2025. "Improving empirical models and forecasts with saturation-based machine learning," Annals of Operations Research, Springer, vol. 346(1), pages 447-487, March.
    3. Castle, Jennifer L. & Hendry, David F. & Martinez, Andrew B., 2023. "The historical role of energy in UK inflation and productivity with implications for price inflation," Energy Economics, Elsevier, vol. 126(C).
    4. Jennifer L. Castle & David F. Hendry & Andrew B. Martinez, 2022. "The Historical Role of Energy in UK Inflation and Productivity and Implications for Price Inflation in 2022," Working Papers 2022-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

  2. Andor, Mark Andreas & Bernstein, David H. & Sommer, Stephan, 2020. "Determining the efficiency of residential electricity consumption," Ruhr Economic Papers 870, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    Cited by:

    1. Bettina Chlond & Timo Goeschl & Martin Kesternich, 2022. "More Money or Better Procedures? Evidence from an Energy Efficiency Assistance Program," MAGKS Papers on Economics 202225, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Klára Čermáková & Eduard Hromada, 2022. "Change in the Affordability of Owner-Occupied Housing in the Context of Rising Energy Prices," Energies, MDPI, vol. 15(4), pages 1-18, February.
    3. Zhi Li & Lu Lv & Zuo Zhang, 2022. "Research on the Characteristics and Influencing Factors of Chinese Urban Households’ Electricity Consumption Efficiency," Energies, MDPI, vol. 15(20), pages 1-15, October.
    4. Subal C. Kumbhakarⓡ & Emir Malikovⓡ & Christopher F. Parmeterⓡ, 2021. "Applications of efficiency and productivity analysis: editors’ introduction," Empirical Economics, Springer, vol. 60(6), pages 2657-2663, June.
    5. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    6. Akihiro Otsuka, 2023. "Stochastic demand frontier analysis of residential electricity demands in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 179-195, March.
    7. Jianmin You & Xiqiang Chen & Jindao Chen, 2021. "Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Considering the Heterogeneity of Administrative Hierarchy and Regional Location," Energies, MDPI, vol. 14(17), pages 1-22, September.

  3. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.

    Cited by:

    1. Sun, Kege & Wu, Libo, 2020. "Efficiency distortion of the power generation sector under the dual regulation of price and quantity in China," Energy Economics, Elsevier, vol. 86(C).
    2. Li, Gao & Ruonan, Li & Yingdan, Mei & Xiaoli, Zhao, 2022. "Improve technical efficiency of China's coal-fired power enterprises: Taking a coal-fired-withdrawl context," Energy, Elsevier, vol. 252(C).

  4. David Bernstein & Bent Nielsen, 2014. "Asymptotic theory for cointegration analysis when the cointegration rank is deficient," Economics Papers 2014-W06, Economics Group, Nuffield College, University of Oxford.

    Cited by:

    1. David H. Bernstein & Andrew B. Martinez, 2021. "Jointly Modeling Male and Female Labor Participation and Unemployment," Working Papers 2021-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Matteo Barigozzi & Giuseppe Cavaliere & Lorenzo Trapani, 2024. "Inference in Heavy-Tailed Nonstationary Multivariate Time Series," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 119(545), pages 565-581, January.
    3. Mohammad Ajmal Hameed & Mohammad Mafizur Rahman & Rasheda Khanam, 2024. "Asymmetric effects of long-term war on human resource development in Af…ghanistan: evidence from NARDL approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4807-4832, October.
    4. Lieb, Lenard & Smeekes, Stephan, 2017. "Inference for Impulse Responses under Model Uncertainty," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).
    5. Osabuohien-Irabor Osarumwense & Julian I. Mbegbu, 2017. "Power and Size analysis of Co-integration tests in Conditional Heteroskedascity: A Monte Carlo Simulation," Romanian Statistical Review, Romanian Statistical Review, vol. 65(3), pages 17-34, September.

Articles

  1. Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).

    Cited by:

    1. Wiktor Hebda & Matúš Mišík, 2024. "In Search of Energy Security: Nuclear Energy Development in the Visegrad Group Countries," Energies, MDPI, vol. 17(21), pages 1-21, October.

  2. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.
    See citations under working paper version above.
  3. David H. Bernstein & Andrew B. Martinez, 2021. "Jointly Modeling Male and Female Labor Participation and Unemployment," Econometrics, MDPI, vol. 9(4), pages 1-14, December.
    See citations under working paper version above.
  4. Bernstein, David H., 2020. "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, Elsevier, vol. 147(C).

    Cited by:

    1. Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
    2. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.
    3. Hou, Zheng & Roseta-Palma, Catarina & Ramalho, Joaquim J.S., 2024. "Can operational efficiency in the Portuguese electricity sector be improved? Yes, but..," Energy Policy, Elsevier, vol. 190(C).

  5. David H. Bernstein & Bent Nielsen, 2019. "Asymptotic Theory for Cointegration Analysis When the Cointegration Rank Is Deficient," Econometrics, MDPI, vol. 7(1), pages 1-24, January.
    See citations under working paper version above.
  6. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.

    Cited by:

    1. Bernstein, David H., 2020. "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, Elsevier, vol. 147(C).

Chapters

    Sorry, no citations of chapters recorded.

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 5 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-ENE: Energy Economics (2) 2017-08-27 2020-12-07
  2. NEP-CMP: Computational Economics (1) 2023-07-17
  3. NEP-ECM: Econometrics (1) 2014-11-01
  4. NEP-ETS: Econometric Time Series (1) 2014-11-01
  5. NEP-GEN: Gender (1) 2021-12-06
  6. NEP-HIS: Business, Economic and Financial History (1) 2017-08-27
  7. NEP-LAB: Labour Economics (1) 2021-12-06
  8. NEP-MAC: Macroeconomics (1) 2021-12-06
  9. NEP-ORE: Operations Research (1) 2021-12-06
  10. NEP-REG: Regulation (1) 2020-12-07

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, David Harry Bernstein should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.