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Artem Prokhorov

Personal Details

First Name:Artem
Middle Name:
Last Name:Prokhorov
Suffix:
RePEc Short-ID:ppr133
[This author has chosen not to make the email address public]
https://sites.google.com/site/artembprokhorov/
Terminal Degree:2006 (from RePEc Genealogy)

Affiliation

(88%) Discipline of Business Analytics
Business School
University of Sydney

Sydney, Australia
http://sydney.edu.au/business/business_analytics

: + 61 2 9351 6584
+ 61 2 9351 6409
Sydney, NSW 2006
RePEc:edi:dxusyau (more details at EDIRC)

(8%) Faculty of Economics
St. Petersburg State University

St. Petersburg, Russia
http://www.econ.spbu.ru/

: +7 812 363 64 94
+7 812 363 64 94
191123 Saint-Petersburg, 62 Chaikovskogo St.
RePEc:edi:fespuru (more details at EDIRC)

(3%) Centre Interuniversitaire de Recherche en Économie Quantitative (CIREQ)

Montréal, Canada
http://www.cireqmontreal.com/

: (514) 343-6557
(514) 343-7221
C.P. 6128, Succ. centre-ville, Montréal (PQ) H3C 3J7
RePEc:edi:cdmtlca (more details at EDIRC)

(1%) Department of Economics
Concordia University

Montréal, Canada
http://artsandscience1.concordia.ca/economics/

: (514) 848-3900
(514) 848-4536
1455, de Maisonneuve Blvd, Montréal, Québec, H3G 1M8
RePEc:edi:deconca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous Environmental Variables In Stochastic Frontier Models," Working Papers 2017-02, University of Sydney Business School, Discipline of Business Analytics.
  2. Medovikov, Ivan & Prokhorov, Artem, 2016. "A New Measure of Vector Dependence, with an Application to Financial C ontagion," Working Papers 2016-01, University of Sydney Business School, Discipline of Business Analytics.
  3. Matsypura, Dmytro & Neo, Emily & Prokhorov, Artem, 2016. "Estimation of Hierarchical Archimedean Copulas as a Shortest Path Prob lem," Working Papers 2123/14745, University of Sydney Business School, Discipline of Business Analytics.
  4. Ibragimov, Rustam & Mo, Jingyuan & Prokhorov, Artem, 2015. "Fat tails and copulas: limits of diversification revisited," Working Papers 2015-06, University of Sydney Business School, Discipline of Business Analytics.
  5. Prokhorov, Artem & Schepsmeier, Ulf & Zhu, Yajing, 2015. "Generalized Information Matrix Tests for Copulas," Working Papers 2015-05, University of Sydney Business School, Discipline of Business Analytics.
  6. Hill, Jonathan B. & Prokhorov, Artem, 2015. "Supplemental Material for GEL Estimation for Heavy-Tailed GARCH Models with Robust Empirical Likelihood Inference," Working Papers 2015-04, University of Sydney Business School, Discipline of Business Analytics.
  7. Amsler, Christine & Artem, Prokhorov & Peter, Schmidt, 2015. "Endogeneity in Stochastic Frontier Models," Working Papers 2015-01, University of Sydney Business School, Discipline of Business Analytics.
  8. Hill, Jonathan B. & Prokhorov, Artem, 2015. "GEL Estimation for Heavy-Tailed GARCH Models with Robust Empirical Likelihood Inference," Working Papers 2015-03, University of Sydney Business School, Discipline of Business Analytics.
  9. Hirukawa, Masayuki & Prokhorov, Artem, 2014. "Consistent Estimation of Linear Regression Models Using Matched Data," Working Papers 2014-03, University of Sydney Business School, Discipline of Business Analytics.
  10. Stanislav Anatolyev & Renat Khabibullin & Artem Prokhorov, 2013. "Reconstructing high dimensional dynamic distributions from distributions of lower dimension," Working Papers w0167, Center for Economic and Financial Research (CEFIR).
  11. Liu, Di & Murtazashvili, Irina & Prokhorov, Artem, 2013. "Two-Sample Nonparametric Estimation of Intergenerational Income Mobili ty," Working Papers 07_2013, University of Sydney Business School, Discipline of Business Analytics.
  12. Martin Burda & Artem Prokhorov, 2012. "Copula Based Factorization in Bayesian Multivariate Infinite Mixture Models," Working Papers 12012, Concordia University, Department of Economics.
  13. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2011. "Using Copulas to Model Time Dependence in Stochastic Frontier Models," Working Papers 11002, Concordia University, Department of Economics.
  14. Valentyn Panchenko & Artem Prokhorov, 2011. "Efficient estimation of parameters in marginals in semiparametric multivariate models," Working Papers 11001, Concordia University, Department of Economics.
  15. Artem Prokhorov, 2010. "Second Order Bias of Quasi-MLE for Covariance Structure Models," Working Papers 10001, Concordia University, Department of Economics.
  16. Wanling Huang & Artem Prokhorov, 2010. "Bartlett-type Correction of Distance Metric Test," Working Papers 10003, Concordia University, Department of Economics.
  17. Artem Prokhorov & Peter Schmidt, 2009. "Likelihood Based Estimation in a Panel Setting: Robustness, Redundancy and Validity of Copulas," Working Papers 09002, Concordia University, Department of Economics.
  18. Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
  19. Artem Prokhorov, 2008. "On relative efficiency of Quasi-MLE and GMM estimators of covariance structure models," Working Papers 08004, Concordia University, Department of Economics.
  20. Artem Prokhorov & Peter Schmidt, 2008. "GMM Redundancy Results for General Missing Data Problems," Working Papers 08003, Concordia University, Department of Economics.

Articles

  1. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous environmental variables in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 199(2), pages 131-140.
  2. Ivan Medovikov & Artem Prokhorov, 2017. "A New Measure of Vector Dependence, with Applications to Financial Risk and Contagion," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(3), pages 474-503.
  3. Matsypura, Dmytro & Neo, Emily & Prokhorov, Artem, 2016. "Estimation of Hierarchical Archimedean Copulas as a Shortest Path Problem," Economics Letters, Elsevier, vol. 149(C), pages 131-134.
  4. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016. "Endogeneity in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.
  5. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
  6. Hill, Jonathan B. & Prokhorov, Artem, 2016. "GEL estimation for heavy-tailed GARCH models with robust empirical likelihood inference," Journal of Econometrics, Elsevier, vol. 190(1), pages 18-45.
  7. Irina Murtazashvili & Di Liu & Artem Prokhorov, 2015. "Two-sample nonparametric estimation of intergenerational income mobility in the United States and Sweden," Canadian Journal of Economics, Canadian Economics Association, vol. 48(5), pages 1733-1761, December.
  8. Anatolyev, Stanislav & Khabibullin, Renat & Prokhorov, Artem, 2014. "An algorithm for constructing high dimensional distributions from distributions of lower dimension," Economics Letters, Elsevier, vol. 123(3), pages 257-261.
  9. Wanling Huang & Artem Prokhorov, 2014. "A Goodness-of-fit Test for Copulas," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 751-771, October.
  10. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2014. "Using Copulas to Model Time Dependence in Stochastic Frontier Models," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 497-522, August.
  11. Burda, Martin & Prokhorov, Artem, 2014. "Copula based factorization in Bayesian multivariate infinite mixture models," Journal of Multivariate Analysis, Elsevier, vol. 127(C), pages 200-213.
  12. Prokhorov, Artem, 2012. "Second order bias of quasi-MLE for covariance structure models," Economics Letters, Elsevier, vol. 114(2), pages 195-197.
  13. Prokhorov, Artem & Schmidt, Peter, 2009. "Likelihood-based estimation in a panel setting: Robustness, redundancy and validity of copulas," Journal of Econometrics, Elsevier, vol. 153(1), pages 93-104, November.
  14. Prokhorov, Artem, 2009. "On relative efficiency of quasi-MLE and GMM estimators of covariance structure models," Economics Letters, Elsevier, vol. 102(1), pages 4-6, January.
  15. Prokhorov, Artem & Schmidt, Peter, 2009. "GMM redundancy results for general missing data problems," Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
  16. Artem Prokhorov, 2008. "Nonlinear dynamics and chaos theory in economics: a historical perspective (in Russian)," Quantile, Quantile, issue 4, pages 79-92, March.

Books

  1. Rustam Ibragimov & Artem Prokhorov, 2017. "Heavy Tails and Copulas:Topics in Dependence Modelling in Economics and Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9644, March.

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.

Working papers

  1. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous Environmental Variables In Stochastic Frontier Models," Working Papers 2017-02, University of Sydney Business School, Discipline of Business Analytics.

    Cited by:

    1. Kutlu, Levent, 2018. "A distribution-free stochastic frontier model with endogenous regressors," Economics Letters, Elsevier, vol. 163(C), pages 152-154.

  2. Ibragimov, Rustam & Mo, Jingyuan & Prokhorov, Artem, 2015. "Fat tails and copulas: limits of diversification revisited," Working Papers 2015-06, University of Sydney Business School, Discipline of Business Analytics.

    Cited by:

    1. Banciu, M. & Ødegaard, F., 2016. "Optimal product bundling with dependent valuations: The price of independence," European Journal of Operational Research, Elsevier, vol. 255(2), pages 481-495.

  3. Prokhorov, Artem & Schepsmeier, Ulf & Zhu, Yajing, 2015. "Generalized Information Matrix Tests for Copulas," Working Papers 2015-05, University of Sydney Business School, Discipline of Business Analytics.

    Cited by:

    1. Richard M. Golden & Steven S. Henley & Halbert White & T. Michael Kashner, 2016. "Generalized Information Matrix Tests for Detecting Model Misspecification," Econometrics, MDPI, Open Access Journal, vol. 4(4), pages 1-24, November.

  4. Amsler, Christine & Artem, Prokhorov & Peter, Schmidt, 2015. "Endogeneity in Stochastic Frontier Models," Working Papers 2015-01, University of Sydney Business School, Discipline of Business Analytics.

    Cited by:

    1. Graziella Bonanno & Domenico De Giovanni & Filippo Domma, 2015. "The “Wrong Skewness” Problem: A Re-Specification Of Stochastic Frontiers," Working Papers 201502, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    2. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous environmental variables in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 199(2), pages 131-140.
    3. Bernini, Cristina & Cerqua, Augusto & Pellegrini, Guido, 2017. "Public subsidies, TFP and efficiency: A tale of complex relationships," Research Policy, Elsevier, vol. 46(4), pages 751-767.
    4. Malikov, Emir, 2016. "Estimating Multi-Product Production Functions and Productivity using Control Functions," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235108, Agricultural and Applied Economics Association.
    5. Mustafa U. Karakaplan & Levent Kutlu, 2017. "Handling Endogeneity in Stochastic Frontier Analysis," Economics Bulletin, AccessEcon, vol. 37(2), pages 889-901.
    6. Orea, Luis & Zofío, José L., 2017. "A primer on the theory and practice of efficiency and productivity analysis," Efficiency Series Papers 2017/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    7. Tran, Kien C. & Tsionas, Mike G., 2016. "On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors," Economics Letters, Elsevier, vol. 147(C), pages 19-22.
    8. Paulo Mourão & Cristiana Enes, 2017. "Costs and Economies of Scale at Not-for-Profit Organizations: The Case of the Santa Casa da Misericórdia de Barcelos Between 2002 and 2013," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 821-840, June.
    9. Yakubu Abdul-Salam & Euan Phimister, 2017. "Efficiency Effects of Access to Information on Small-scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 494-517, June.
    10. Tran, Kien C. & Tsionas, Efthymios G., 2015. "Endogeneity in stochastic frontier models: Copula approach without external instruments," Economics Letters, Elsevier, vol. 133(C), pages 85-88.
    11. Tram Nguyen & David Tripe & Thanh Ngo, 2018. "Operational Efficiency of Bank Loans and Deposits: A Case Study of Vietnamese Banking System," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 6(1), pages 1-13, January.
    12. Gong, Binlei, 2018. "Different behaviors in natural gas production between national and private oil companies: Economics-driven or environment-driven?," Energy Policy, Elsevier, vol. 114(C), pages 145-152.
    13. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    14. Gale A. Boyd & Jonathan M. Lee, 2018. "Relative Effectiveness of Energy Efficiency Programs versus Market Based Climate Policies in the Chemical Industry," Working Papers 18-16, Center for Economic Studies, U.S. Census Bureau.
    15. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 9(3), pages 243-273, September.

  5. Liu, Di & Murtazashvili, Irina & Prokhorov, Artem, 2013. "Two-Sample Nonparametric Estimation of Intergenerational Income Mobili ty," Working Papers 07_2013, University of Sydney Business School, Discipline of Business Analytics.

    Cited by:

    1. John Jerrim & Álvaro Choi & Rosa Simancas Rodríguez, 2014. "Two-sample two-stage least squares (TSTSLS) estimates of earnings mobility: how consistent are they?," Working Papers 2014/35, Institut d'Economia de Barcelona (IEB).
    2. John Jerrim & Alvaro Choi & Rosa Simancas Rodriguez, 2014. "Two-Sample Two-Stage Least Squares (TSTSLS) estimates of earnings mobility: how consistent are they?," DoQSS Working Papers 14-17, Department of Quantitative Social Science - UCL Institute of Education, University College London.

  6. Martin Burda & Artem Prokhorov, 2012. "Copula Based Factorization in Bayesian Multivariate Infinite Mixture Models," Working Papers 12012, Concordia University, Department of Economics.

    Cited by:

    1. Norets, Andriy, 2015. "Bayesian regression with nonparametric heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 409-419.

  7. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2011. "Using Copulas to Model Time Dependence in Stochastic Frontier Models," Working Papers 11002, Concordia University, Department of Economics.

    Cited by:

    1. Amsler, Christine & Artem, Prokhorov & Peter, Schmidt, 2015. "Endogeneity in Stochastic Frontier Models," Working Papers 2015-01, University of Sydney Business School, Discipline of Business Analytics.
    2. Graziella Bonanno & Domenico De Giovanni & Filippo Domma, 2015. "The “Wrong Skewness” Problem: A Re-Specification Of Stochastic Frontiers," Working Papers 201502, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    3. Hung-pin Lai & Cliff Huang, 2013. "Maximum likelihood estimation of seemingly unrelated stochastic frontier regressions," Journal of Productivity Analysis, Springer, vol. 40(1), pages 1-14, August.
    4. Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
    5. Orea, Luis & Zofío, José L., 2017. "A primer on the theory and practice of efficiency and productivity analysis," Efficiency Series Papers 2017/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Tran, Kien C. & Tsionas, Mike G., 2016. "On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors," Economics Letters, Elsevier, vol. 147(C), pages 19-22.
    7. Wen-Jen Tsay & Cliff Huang & Tsu-Tan Fu & I.-Lin Ho, 2013. "A simple closed-form approximation for the cumulative distribution function of the composite error of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 39(3), pages 259-269, June.
    8. Huang, Tai-Hsin & Lin, Chung-I & Chen, Kuan-Chen, 2017. "Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 93-110.
    9. Aivazian, Sergei & Afanasiev, Mikhail & Rudenko, Victoria, 2014. "Analysis of dependence between the random components of a stochastic production function for the purpose of technical efficiency estimation," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 34(2), pages 3-18.
    10. Chen, Kong-Pin & Lai, Hung-pin & Yu, Ya-Ting, 2018. "The seller's listing strategy in online auctions: Evidence from eBay," International Journal of Industrial Organization, Elsevier, vol. 56(C), pages 107-144.
    11. Huang, Tai-Hsin & Chiang, Dien-Lin & Chao, Shih-Wei, 2017. "A new approach to jointly estimating the Lerner index and cost efficiency for multi-output banks under a stochastic meta-frontier framework," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 212-226.

  8. Valentyn Panchenko & Artem Prokhorov, 2011. "Efficient estimation of parameters in marginals in semiparametric multivariate models," Working Papers 11001, Concordia University, Department of Economics.

    Cited by:

    1. Yichen Gao & Yu Zhang & Ximing Wu, 2015. "Penalized exponential series estimation of copula densities with an application to intergenerational dependence of body mass index," Empirical Economics, Springer, vol. 48(1), pages 61-81, February.

  9. Artem Prokhorov & Peter Schmidt, 2009. "Likelihood Based Estimation in a Panel Setting: Robustness, Redundancy and Validity of Copulas," Working Papers 09002, Concordia University, Department of Economics.

    Cited by:

    1. Yichen Gao & Yu Zhang & Ximing Wu, 2015. "Penalized exponential series estimation of copula densities with an application to intergenerational dependence of body mass index," Empirical Economics, Springer, vol. 48(1), pages 61-81, February.
    2. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2014. "Using Copulas to Model Time Dependence in Stochastic Frontier Models," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 497-522, August.
    3. Santiago Pereda Fernández, 2016. "Copula-based random effects models for clustered data," Temi di discussione (Economic working papers) 1092, Bank of Italy, Economic Research and International Relations Area.
    4. Rainer Winkelmann, 2011. "Copula bivariate probit models: with an application to medical expenditures," ECON - Working Papers 029, Department of Economics - University of Zurich.
    5. Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
    6. Zhang, Shulin & Okhrin, Ostap & Zhou, Qian M. & Song, Peter X.-K., 2016. "Goodness-of-fit test for specification of semiparametric copula dependence models," Journal of Econometrics, Elsevier, vol. 193(1), pages 215-233.
    7. Rainer Winkelmann, 2009. "Copula-based bivariate binary response models," SOI - Working Papers 0913, Socioeconomic Institute - University of Zurich.
    8. Anatolyev, Stanislav & Khabibullin, Renat & Prokhorov, Artem, 2014. "An algorithm for constructing high dimensional distributions from distributions of lower dimension," Economics Letters, Elsevier, vol. 123(3), pages 257-261.
    9. Azam Dehgani & Ali Dolati & Manuel Úbeda-Flores, 2013. "Measures of radial asymmetry for bivariate random vectors," Statistical Papers, Springer, vol. 54(2), pages 271-286, May.
    10. Hasebe, Takuya & Vijverberg, Wim P., 2012. "A Flexible Sample Selection Model: A GTL-Copula Approach," IZA Discussion Papers 7003, Institute for the Study of Labor (IZA).
    11. Shulin Zhang, & Ostap Okhrin, & Qian M. Zhou & Peter X.-K. Song, 2013. "Goodness-of-fit Test for Specification of Semiparametric Copula Dependence Models," SFB 649 Discussion Papers SFB649DP2013-041, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

  10. Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.

    Cited by:

    1. Ding, Wei & Song, Peter X.-K., 2016. "EM algorithm in Gaussian copula with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 1-11.
    2. Jean-David Fermanian, 2012. "An overview of the goodness-of-fit test problem for copulas," Papers 1211.4416, arXiv.org.
    3. Nguyen, Cuong & Bhatti, M. Ishaq & Komorníková, Magda & Komorník, Jozef, 2016. "Gold price and stock markets nexus under mixed-copulas," Economic Modelling, Elsevier, vol. 58(C), pages 283-292.
    4. Wanling Huang & André Varella Mollick & Khoa Huu Nguyen, 2017. "Dynamic responses and tail-dependence among commodities, the US real interest rate and the dollar," Empirical Economics, Springer, vol. 53(3), pages 959-997, November.
    5. Schepsmeier, Ulf, 2015. "Efficient information based goodness-of-fit tests for vine copula models with fixed margins: A comprehensive review," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 34-52.
    6. Nguyen, Cuong & Ishaq Bhatti, M. & Henry, Darren, 2017. "Are Vietnam and Chinese stock markets out of the US contagion effect in extreme events?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 480(C), pages 10-21.
    7. Zhang, Shulin & Okhrin, Ostap & Zhou, Qian M. & Song, Peter X.-K., 2016. "Goodness-of-fit test for specification of semiparametric copula dependence models," Journal of Econometrics, Elsevier, vol. 193(1), pages 215-233.
    8. Huang, Wanling & Mollick, André Varella & Nguyen, Khoa Huu, 2016. "U.S. stock markets and the role of real interest rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 231-242.
    9. Kjersti Aas, 2016. "Pair-Copula Constructions for Financial Applications: A Review," Econometrics, MDPI, Open Access Journal, vol. 4(4), pages 1-15, October.
    10. Shulin Zhang, & Ostap Okhrin, & Qian M. Zhou & Peter X.-K. Song, 2013. "Goodness-of-fit Test for Specification of Semiparametric Copula Dependence Models," SFB 649 Discussion Papers SFB649DP2013-041, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    11. Richard M. Golden & Steven S. Henley & Halbert White & T. Michael Kashner, 2016. "Generalized Information Matrix Tests for Detecting Model Misspecification," Econometrics, MDPI, Open Access Journal, vol. 4(4), pages 1-24, November.
    12. Okhrin Ostap, 2013. "Editorial to the special issue on Copulae of Statistics & Risk Modeling," Statistics & Risk Modeling, De Gruyter, vol. 30(4), pages 281-286, December.

  11. Artem Prokhorov, 2008. "On relative efficiency of Quasi-MLE and GMM estimators of covariance structure models," Working Papers 08004, Concordia University, Department of Economics.

    Cited by:

    1. Damba Lkhagvasuren, 2009. "Large Locational Differences in Unemployment Despite High Labor Mobility: Impact of Moving Cost on Aggregate Unemployment and Welfare," Working Papers 09009, Concordia University, Department of Economics, revised Mar 2010.
    2. Prokhorov, Artem, 2012. "Second order bias of quasi-MLE for covariance structure models," Economics Letters, Elsevier, vol. 114(2), pages 195-197.

  12. Artem Prokhorov & Peter Schmidt, 2008. "GMM Redundancy Results for General Missing Data Problems," Working Papers 08003, Concordia University, Department of Economics.

    Cited by:

    1. Moser, Christoph & Urban, Dieter & di Mauro, Beatrice Weder, 2010. "International competitiveness, job creation and job destruction--An establishment-level study of German job flows," Journal of International Economics, Elsevier, vol. 80(2), pages 302-317, March.
    2. Yuriy Gorodnichenko & Anna Mikusheva & Serena Ng, 2011. "Estimators for Persistent and Possibly Non-Stationary Data with Classical Properties," NBER Working Papers 17424, National Bureau of Economic Research, Inc.
    3. Mitsukuni Nishida, 2012. "Estimating a Model of Strategic Network Choice: The Convenience-Store Industry in Okinawa," Economics Working Paper Archive 594, The Johns Hopkins University,Department of Economics.
    4. Han, Chirok & Kim, Beomsoo, 2011. "A GMM interpretation of the paradox in the inverse probability weighting estimation of the average treatment effect on the treated," Economics Letters, Elsevier, vol. 110(2), pages 163-165, February.
    5. M. Hristache & V. Patilea, 2017. "Conditional moment models with data missing at random," Biometrika, Biometrika Trust, vol. 104(3), pages 735-742.
    6. Hitomi, Kohtaro & Nishiyama, Yoshihiko & Okui, Ryo, 2008. "A Puzzling Phenomenon In Semiparametric Estimation Problems With Infinite-Dimensional Nuisance Parameters," Econometric Theory, Cambridge University Press, vol. 24(06), pages 1717-1728, December.
    7. Otávio Bartalotti, 2013. "GMM Efficiency and IPW Estimation for Nonsmooth Functions," Working Papers 1301, Tulane University, Department of Economics.
    8. Hirukawa, Masayuki & Prokhorov, Artem, 2017. "Consistent Estimation of Linear Regression Models Using Matched Data," Working Papers 2123/18063, University of Sydney Business School, Discipline of Business Analytics.

Articles

  1. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous environmental variables in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 199(2), pages 131-140.
    See citations under working paper version above.
  2. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016. "Endogeneity in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.
    See citations under working paper version above.
  3. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.

    Cited by:

    1. Umberto Cherubini & Paolo Neri, 2017. "Value-at-Risk Diversification of $\alpha$-stable Risks: The Tail-Dependence Puzzle," Papers 1704.07235, arXiv.org.

  4. Anatolyev, Stanislav & Khabibullin, Renat & Prokhorov, Artem, 2014. "An algorithm for constructing high dimensional distributions from distributions of lower dimension," Economics Letters, Elsevier, vol. 123(3), pages 257-261.

    Cited by:

    1. Matsypura, Dmytro & Neo, Emily & Prokhorov, Artem, 2016. "Estimation of Hierarchical Archimedean Copulas as a Shortest Path Prob lem," Working Papers 2123/14745, University of Sydney Business School, Discipline of Business Analytics.

  5. Wanling Huang & Artem Prokhorov, 2014. "A Goodness-of-fit Test for Copulas," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 751-771, October.
    See citations under working paper version above.
  6. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2014. "Using Copulas to Model Time Dependence in Stochastic Frontier Models," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 497-522, August.
    See citations under working paper version above.
  7. Burda, Martin & Prokhorov, Artem, 2014. "Copula based factorization in Bayesian multivariate infinite mixture models," Journal of Multivariate Analysis, Elsevier, vol. 127(C), pages 200-213.
    See citations under working paper version above.
  8. Prokhorov, Artem & Schmidt, Peter, 2009. "Likelihood-based estimation in a panel setting: Robustness, redundancy and validity of copulas," Journal of Econometrics, Elsevier, vol. 153(1), pages 93-104, November.
    See citations under working paper version above.
  9. Prokhorov, Artem, 2009. "On relative efficiency of quasi-MLE and GMM estimators of covariance structure models," Economics Letters, Elsevier, vol. 102(1), pages 4-6, January.
    See citations under working paper version above.
  10. Prokhorov, Artem & Schmidt, Peter, 2009. "GMM redundancy results for general missing data problems," Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
    See citations under working paper version above.
  11. Artem Prokhorov, 2008. "Nonlinear dynamics and chaos theory in economics: a historical perspective (in Russian)," Quantile, Quantile, issue 4, pages 79-92, March.

    Cited by:

    1. Komijani, Akbar & Naderi, Esmaeil & Gandali Alikhani, Nadiya, 2013. "A Hybrid Approach for Forecasting of Oil Prices Volatility," MPRA Paper 44654, University Library of Munich, Germany.
    2. Poomjai Nacaskul & Kritchaya Janjaroen & Suparit Suwanik, 2012. "Economic Rationales for Central Banking: Historical Evolution, Policy Space, Institutional Integrity, and Paradigm Challenges," Working Papers 2012-04, Monetary Policy Group, Bank of Thailand.

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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 22 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-ECM: Econometrics (17) 2008-08-21 2009-01-03 2009-02-28 2010-04-17 2010-04-24 2010-07-10 2011-04-02 2012-03-21 2012-12-22 2013-10-25 2015-11-21 2015-11-21 2015-11-21 2016-04-16 2016-04-30 2016-05-28 2017-06-04. Author is listed
  2. NEP-ETS: Econometric Time Series (2) 2015-11-21 2015-11-21
  3. NEP-RMG: Risk Management (2) 2015-11-21 2015-11-21
  4. NEP-CIS: Confederation of Independent States (1) 2015-11-21
  5. NEP-DCM: Discrete Choice Models (1) 2017-06-04
  6. NEP-EFF: Efficiency & Productivity (1) 2017-06-04
  7. NEP-ENV: Environmental Economics (1) 2017-06-04
  8. NEP-ORE: Operations Research (1) 2015-11-21

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