Peer-Reviewed Journal Articles:
7) David H. Bernstein, "A Critical Review of Univariate Nonparametric Estimation of First Derivatives," Journal of Statistical Computation and Simulation, 2022, 92(16), 3511-3528.
6) Alanoud Al-Maadid, Jesper Akesso, David H. Bernstein, Jayani Chakravarti and Ahmed A. Kalifa, "Understanding Water Consumption in Qatar: Evidence from a Nationally Representative Survey," Urban Water Journal, 2022.
5) David H. Bernstein, Andrew Martinez, "Jointly Modeling Male and Female Labor Participation and Unemployment," Econometrics, 2021, 9(4), 46. (working-paper-version)
4) Mark A. Andor, David H. Bernstein and Stephan Sommer, "Determining the efficiency of residential electricity consumption," Empirical Economics, 2021, 60, 2897-2923.
3) David H. Bernstein, "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, 2020, 147, 111896.
2) David H. Bernstein, Christopher F. Parmeter, "Returns to Scale in Electricity Generation: Replicated and Revisited," Energy Economics, 2019, 82, 4-15. (lead article, working-paper-version, ReplicationWiki)
1) David H. Bernstein, Bent Nielsen, "Asymptotic theory for cointegration analysis when the cointegration rank is deficient," Econometrics, 2019, 7(1), 6. (working-paper-version)
Peer-Reviewed Book Chapters:
1) Subal C. Kumbhakar, David H. Bernstein, "Does xistence of inefficiency matter to a neoclassical xorcist? Some econometric issues in panel stochastic frontier models," in Advances in Efficiency and Productivity Analysis, ed. by C. Parmeter and R. Sickles, NAPW 2018, Springer Proceedings in Business and Economics, Springer, Cham, 2021. (appendix)
4) On the Performance of the United States Nuclear Power Sector: A Bayesian Approach (with Christopher F. Parmeter and Mike G. Tsionas, Revise and Resubmit)
3) Work-from-home, electricity, and water: Evidence from Qatar (working-paper-version, with Ahmed A. Khalifa and Alecia Cassidy, Resubmitted)
2) On robust estimation of the stochastic frontier model (with Christopher F. Parmeter and Ian A. Wright)
1) Internal Meta-Analysis for Monte Carlo Simulations (with Mark A. Andor, Christopher F. Parmeter, and Stephan Sommer)