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Peter Schmidt

Not to be confused with: Peter Schmidt, Peter Schmidt

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. William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26.

    Mentioned in:

    1. Multiple comparisons with the best, with economic applications (Journal of Applied Econometrics 2000) in ReplicationWiki ()

Working papers

  1. 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. Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2019. "Evaluating the CDF of the distribution of the stochastic frontier composed error," Journal of Productivity Analysis, Springer, vol. 52(1), pages 29-35, December.
    2. 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.
    3. 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.
    4. Hung-pin Lai, 2021. "Maximum simulated likelihood estimation of the seemingly unrelated stochastic frontier regressions," Empirical Economics, Springer, vol. 60(6), pages 2943-2968, June.
    5. Tsionas, Mike G. & Mallick, Sushanta K., 2019. "A Bayesian semiparametric approach to stochastic frontiers and productivity," European Journal of Operational Research, Elsevier, vol. 274(1), pages 391-402.
    6. Tai-Hsin Huang & Yi-Huang Chiu & Chih-Ying Mao, 2021. "Imposing Regularity Conditions to Measure Banks’ Productivity Changes in Taiwan Using a Stochastic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 273-303, June.
    7. Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
    8. Chen, Kong-Pin & Liu, Yu-Sheng & Yu, Ya-Ting, 2012. "The Seller's listing strategy in online auctions: evidence from eBay," MPRA Paper 38369, University Library of Munich, Germany.
    9. 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).
    10. Schmidt, Rouven & Kneib, Thomas, 2023. "Multivariate distributional stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    11. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.
    12. 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.
    13. Huang, Tai-Hsin & Chen, Kuan-Chen & Lin, Chung-I, 2018. "An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 51-62.
    14. Huang, Tai-Hsin & Hu, Chu-Nan & Chang, Bao-Guang, 2018. "Competition, efficiency, and innovation in Taiwan’s banking industry — An application of copula methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 362-375.
    15. Kexin Li & Jianxu Liu & Yuting Xue & Sanzidur Rahman & Songsak Sriboonchitta, 2022. "Consequences of Ignoring Dependent Error Components and Heterogeneity in a Stochastic Frontier Model: An Application to Rice Producers in Northern Thailand," Agriculture, MDPI, vol. 12(8), pages 1-17, July.
    16. Sihong Chen & Qi Li & Qiaoyu Wang & Yu Yvette Zhang, 2023. "Multivariate models of commodity futures markets: a dynamic copula approach," Empirical Economics, Springer, vol. 64(6), pages 3037-3057, June.
    17. Tai-Hsin Huang & Nan-Hung Liu & Subal C. Kumbhakar, 2018. "Joint estimation of the Lerner index and cost efficiency using copula methods," Empirical Economics, Springer, vol. 54(2), pages 799-822, March.
    18. Huang, Tai-Hsin & Lin, Chung-I & Wu, Ruei-Cian, 2019. "Assessing the marketing and investment efficiency of Taiwan’s life insurance firms under network structures," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 132-147.
    19. 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.
    20. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Estimation of Dynamic Stochastic Frontier Model using Likelihood-based Approaches," MPRA Paper 87830, University Library of Munich, Germany.
    21. Alecos Papadopoulos & Christopher F. Parmeter & Subal C. Kumbhakar, 2021. "Modeling dependence in two-tier stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 56(2), pages 85-101, December.
    22. Alexandre Repkine, 2023. "The Estimation of a Polluting By-Production Technology Using Statistical Copulas," Journal of Productivity Analysis, Springer, vol. 60(1), pages 49-62, August.
    23. Mamonov Mikhail E. & Parmeter Christopher F. & Prokhorov Artem B., 2022. "Dependence modeling in stochastic frontier analysis," Dependence Modeling, De Gruyter, vol. 10(1), pages 123-144, January.
    24. 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.
    25. 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.
    26. Zhai Jian & James Robert & Prokhorov Artem, 2022. "Technical and allocative inefficiency in production systems: a vine copula approach," Dependence Modeling, De Gruyter, vol. 10(1), pages 145-158, January.
    27. 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, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 34(2), pages 3-18.
    28. Kajal Lahiri & Liu Yang, 2023. "Predicting binary outcomes based on the pair-copula construction," Empirical Economics, Springer, vol. 64(6), pages 3089-3119, June.
    29. Tai-Hsin Huang & Yi-Chun Lin & Kuo-Jui Huang & Yu-Wei Liao, 2022. "Comparing Cost Efficiency Between Financial and Non-financial Holding Banks and Insurers in Taiwan Under the Framework of Copula Methods and Metafrontier," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 735-766, December.
    30. Arabinda Das, 2021. "Copula-based Stochastic Cost Frontier with Correlated Technical and Allocative Inefficiency," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 207-222, June.
    31. 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.

  2. Schmidt, Peter, 2010. "Zu Migration und Strukturfonds im Binnenmarkt der EU [Migration and the Structural Funds in the Single European Market]," MPRA Paper 23740, University Library of Munich, Germany.

    Cited by:

    1. Peter Schmidt, 2013. "The EU structural funds as a means to hamper migration," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 33(1), pages 73-99, February.

  3. 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. 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.
    2. Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
    3. Rainer Winkelmann, 2011. "Copula bivariate probit models: with an application to medical expenditures," ECON - Working Papers 029, Department of Economics - University of Zurich.
    4. Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
    5. 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.
    6. Rainer Winkelmann, 2009. "Copula-based bivariate binary response models," SOI - Working Papers 0913, Socioeconomic Institute - University of Zurich.
    7. 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.
    8. 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.
    9. Hao, Bowen & Prokhorov, Artem & Qian, Hailong, 2019. "Moment Redundancy Test with Application to Efficiency-Improving Copulas," Working Papers BAWP-2019-05, University of Sydney Business School, Discipline of Business Analytics.
    10. Hasebe, Takuya & Vijverberg, Wim P., 2012. "A Flexible Sample Selection Model: A GTL-Copula Approach," IZA Discussion Papers 7003, Institute of Labor Economics (IZA).
    11. Santiago Pereda-Fernández, 2021. "Copula-Based Random Effects Models for Clustered Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.
    12. 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.
    13. Sihong Chen & Qi Li & Qiaoyu Wang & Yu Yvette Zhang, 2023. "Multivariate models of commodity futures markets: a dynamic copula approach," Empirical Economics, Springer, vol. 64(6), pages 3037-3057, June.
    14. Alecos Papadopoulos & Christopher F. Parmeter & Subal C. Kumbhakar, 2021. "Modeling dependence in two-tier stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 56(2), pages 85-101, December.
    15. Mamonov Mikhail E. & Parmeter Christopher F. & Prokhorov Artem B., 2022. "Dependence modeling in stochastic frontier analysis," Dependence Modeling, De Gruyter, vol. 10(1), pages 123-144, January.
    16. Kajal Lahiri & Liu Yang, 2023. "Predicting binary outcomes based on the pair-copula construction," Empirical Economics, Springer, vol. 64(6), pages 3089-3119, June.
    17. Juan Lin & Ximing Wu, 2015. "Smooth Tests of Copula Specifications," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 128-143, January.
    18. Aristidis K. Nikoloulopoulos & Peter G. Moffatt, 2019. "Coupling Couples With Copulas: Analysis Of Assortative Matching On Risk Attitude," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 654-666, January.

  4. 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. Kyoo il Kim, 2019. "Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric," Econometrics, MDPI, vol. 7(2), pages 1-13, May.
    4. Stanislav Anatolyev & Renat Khabibullin & Artem Prokhorov, 2013. "Reconstructing high dimensional dynamic distributions from distributions of lower dimension," Working Papers w0167, New Economic School (NES).
    5. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    6. 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.
    7. Masayuki Hirukawa & Di Liu & Irina Murtazashvili & Artem Prokhorov, 2023. "DS-HECK: double-lasso estimation of Heckman selection model," Empirical Economics, Springer, vol. 64(6), pages 3167-3195, June.
    8. Hirukawa, Masayuki & Prokhorov, Artem, 2018. "Consistent estimation of linear regression models using matched data," Journal of Econometrics, Elsevier, vol. 203(2), pages 344-358.
    9. Timo Dimitriadis & Tobias Fissler & Johanna Ziegel, 2020. "The Efficiency Gap," Papers 2010.14146, arXiv.org, revised Sep 2022.
    10. Otávio Bartalotti, 2013. "GMM Efficiency and IPW Estimation for Nonsmooth Functions," Working Papers 1301, Tulane University, Department of Economics.
    11. Hao, Bowen & Prokhorov, Artem & Qian, Hailong, 2019. "Moment Redundancy Test with Application to Efficiency-Improving Copulas," Working Papers BAWP-2019-05, University of Sydney Business School, Discipline of Business Analytics.
    12. Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
    13. 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.
    14. M. Hristache & V. Patilea, 2017. "Conditional moment models with data missing at random," Biometrika, Biometrika Trust, vol. 104(3), pages 735-742.
    15. Hristache, Marian & Patilea, Valentin, 2021. "Equivalent models for observables under the assumption of missing at random," Econometrics and Statistics, Elsevier, vol. 20(C), pages 153-165.
    16. 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(6), pages 1717-1728, December.

  5. Wei Siang Wang & Peter Schmidt, 2007. "On The Distribution of Estimated Technical Efficiency in Stochastic Frontier Models," CEPA Working Papers Series WP022007, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Eduardo Fé & Richard Hofler, 2013. "Count data stochastic frontier models, with an application to the patents–R&D relationship," Journal of Productivity Analysis, Springer, vol. 39(3), pages 271-284, June.
    2. William C. Horrace & Hyunseok Jung & Yi Yang, 2022. "The Conditional Mode in Parametric Frontier Models," Center for Policy Research Working Papers 249, Center for Policy Research, Maxwell School, Syracuse University.
    3. Federico Belotti & Giuseppe Ilardi, 2012. "Consistent Estimation of the “True” Fixed-effects Stochastic Frontier Model," CEIS Research Paper 231, Tor Vergata University, CEIS, revised 18 Apr 2012.
    4. Daniel Wikström, 2015. "A finite sample improvement of the fixed effects estimator applied to technical inefficiency," Journal of Productivity Analysis, Springer, vol. 43(1), pages 29-46, February.
    5. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    6. Jun Cai & Qu Feng & William C. Horrace & Guiying Laura Wu, 2021. "Wrong skewness and finite sample correction in the normal-half normal stochastic frontier model," Empirical Economics, Springer, vol. 60(6), pages 2837-2866, June.
    7. Orea, Luis & Steinbuks, Jevgenijs, 2012. "Estimating Market Power in Homogenous Product Markets Using a Composed Error Model: Application to the California Electricity Market," Efficiency Series Papers 2012/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2021. "Density deconvolution with Laplace errors and unknown variance," Journal of Productivity Analysis, Springer, vol. 56(2), pages 103-113, December.
    10. Yujian Jin & Lihong Yu & Yan Wang, 2022. "Green Total Factor Productivity and Its Saving Effect on the Green Factor in China’s Strategic Minerals Industry from 1998–2017," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    11. William Horrace & Christopher Parmeter, 2011. "Semiparametric deconvolution with unknown error variance," Journal of Productivity Analysis, Springer, vol. 35(2), pages 129-141, April.
    12. Shinji Yane & Sanford Berg, 2013. "Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2337-2348, June.
    13. Anup Bhandari & Pradip Maiti, 2012. "Efficiency of the Indian leather firms: some results obtained using the two conventional methods," Journal of Productivity Analysis, Springer, vol. 37(1), pages 73-93, February.
    14. Qu Feng & William Horrace & Guiying Laura Wu, 2013. "Wrong Skewness and Finite Sample Correction in Parametric Stochastic Frontier Models Abstract: In parametric stochastic frontier models, the composed error is specified as the sum of a two-sided noise," Center for Policy Research Working Papers 154, Center for Policy Research, Maxwell School, Syracuse University.
    15. Thomas Graaff, 2020. "On the estimation of spatial stochastic frontier models: an alternative skew-normal approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 267-285, April.
    16. Zeebari, Zangin & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2021. "Regularized Conditional Estimators of Unit Inefficiency in Stochastic Frontier Analysis, with Application to Electricity Distribution Market," Ratio Working Papers 345, The Ratio Institute.
    17. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    18. Wei Wang & Christine Amsler & Peter Schmidt, 2011. "Goodness of fit tests in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 95-118, April.
    19. Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.
    20. Alecos Papadopoulos, 2023. "The noise error component in stochastic frontier analysis," Empirical Economics, Springer, vol. 64(6), pages 2795-2829, June.
    21. María Concepción Pérez-Cárceles & Juan Cándido Gómez-Gallego & Juan Gómez-García, 2016. "Distribution of cost inefficiency in stochastic frontier approach: evidence from Spanish banking," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(16), pages 3030-3041, December.
    22. Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
    23. Bellio, Ruggero & Grassetti, Luca, 2011. "Semiparametric stochastic frontier models for clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 71-83, January.
    24. Daniel Wikström, 2016. "Modified fixed effects estimation of technical inefficiency," Journal of Productivity Analysis, Springer, vol. 46(1), pages 83-86, August.

  6. Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data," Working Papers 0704, University of Crete, Department of Economics.

    Cited by:

    1. Yélou, Clément & Larue, Bruno & Tran, Kien C., 2010. "Threshold effects in panel data stochastic frontier models of dairy production in Canada," Economic Modelling, Elsevier, vol. 27(3), pages 641-647, May.
    2. Daniel Wikström, 2015. "A finite sample improvement of the fixed effects estimator applied to technical inefficiency," Journal of Productivity Analysis, Springer, vol. 43(1), pages 29-46, February.
    3. Jun Cai & Qu Feng & William C. Horrace & Guiying Laura Wu, 2021. "Wrong skewness and finite sample correction in the normal-half normal stochastic frontier model," Empirical Economics, Springer, vol. 60(6), pages 2837-2866, June.
    4. Young Hoon Lee & Hayley Jang & Sun Ho Hwang, 2015. "Market Competition and Threshold Efficiency in the Sports Industry," Journal of Sports Economics, , vol. 16(8), pages 853-870, December.
    5. Panutat Satchachai & Peter Schmidt, 2010. "Estimates of technical inefficiency in stochastic frontier models with panel data: generalized panel jackknife estimation," Journal of Productivity Analysis, Springer, vol. 34(2), pages 83-97, October.
    6. German Blanco, 2017. "Who benefits from job placement services? A two-sided analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 33-47, February.
    7. Feng, Qu & Horrace, William C., 2012. "Estimating technical efficiency in micro panels," Economics Letters, Elsevier, vol. 117(3), pages 730-733.
    8. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    9. Bernd Frick & Young Lee, 2011. "Temporal variations in technical efficiency: evidence from German soccer," Journal of Productivity Analysis, Springer, vol. 35(1), pages 15-24, February.
    10. Qu Feng & William Horrace & Guiying Laura Wu, 2013. "Wrong Skewness and Finite Sample Correction in Parametric Stochastic Frontier Models Abstract: In parametric stochastic frontier models, the composed error is specified as the sum of a two-sided noise," Center for Policy Research Working Papers 154, Center for Policy Research, Maxwell School, Syracuse University.
    11. Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.
    12. Dios-Palomares, Rafaela & Martínez-Paz, José M., 2011. "Technical, quality and environmental efficiency of the olive oil industry," Food Policy, Elsevier, vol. 36(4), pages 526-534, August.
    13. Abril, Carmen & Sanchez, Joaquin, 2016. "Will they return? Getting private label consumers to come back: Price, promotion, and new product effects," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 109-116.

  7. Yangseon Kim & Peter Schmidt, 2007. "Marginal Comparisons with the Best ant the Efficiency Measurment Problem," Working Papers 0703, University of Crete, Department of Economics, revised 01 Dec 2006.

    Cited by:

    1. William C. Horrace & Christopher F. Parmeter, 2018. "A Laplace stochastic frontier model," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 260-280, March.
    2. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    3. Phill Wheat & William Greene & Andrew Smith, 2014. "Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 55-65, August.

  8. Seung C. Ahn & Young H. Lee & Peter Schmidt, 2007. "Panel Data Models with Multiple Time-Varying Individual Effects," Working Papers 0702, University of Crete, Department of Economics.

    Cited by:

    1. van den Oever, Koen & Beerens, Bart, 2021. "Does task-related conflict mediate the board gender diversity–organizational performance relationship?," European Management Journal, Elsevier, vol. 39(4), pages 445-455.
    2. Jörg Breitung & Philipp Hansen, 2021. "Alternative estimation approaches for the factor augmented panel data model with small T," Empirical Economics, Springer, vol. 60(1), pages 327-351, January.
    3. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    4. Duan, Jiangtao & Bai, Jushan & Han, Xu, 2023. "Quasi-maximum likelihood estimation of break point in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 233(1), pages 209-236.
    5. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    6. Hayakawa, Kazuhiko, 2016. "Identification problem of GMM estimators for short panel data models with interactive fixed effects," Economics Letters, Elsevier, vol. 139(C), pages 22-26.
    7. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    8. Bluszcz, Julia & Valente, Marica, 2020. "The Economic Costs of Hybrid Wars: The Case of Ukraine," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Latest Ar, pages 1-25.
    9. Bin Peng & Liangjun Su & Joakim Westerlund & Yanrong Yang, 2021. "Interactive Effects Panel Data Models with General Factors and Regressors," Papers 2111.11506, arXiv.org.
    10. Subal C. Kumbhakar & Robin Sickles & Hung-Jen Wang, 2023. "Introduction," Empirical Economics, Springer, vol. 64(6), pages 2467-2474, June.
    11. Shanti Gamper-Rabindran & Shakeeb Khan & Christopher Timmins, 2008. "The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach," NBER Working Papers 14365, National Bureau of Economic Research, Inc.
    12. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    13. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    14. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    15. G. Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure Endogeneity," Monash Econometrics and Business Statistics Working Papers 14/15, Monash University, Department of Econometrics and Business Statistics.
    16. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    17. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    18. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    19. Hyungsik Roger Moon & Martin Weidner, 2019. "Nuclear norm regularized estimation of panel regression models," CeMMAP working papers CWP14/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    21. Shasha Liu & Robin Sickles, 2021. "The agency problem revisited: a structural analysis of managerial productivity and CEO compensation in large US commercial banks," Empirical Economics, Springer, vol. 60(1), pages 391-418, January.
    22. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    23. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    36. Hyungsik Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP49/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Kerda Varaku & Robin Sickles, 2023. "Public subsidies and innovation: a doubly robust machine learning approach leveraging deep neural networks," Empirical Economics, Springer, vol. 64(6), pages 3121-3165, June.
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    58. Nayoung Lee & Hyungsik Roger Moon, 2021. "Heterogeneous Income Profiles Model with Fixed Effects: Incorporating Labour Income Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1377-1407, December.
    59. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    60. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    61. Hou, Lei & Li, Kunpeng & Li, Qi & Ouyang, Min, 2021. "Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks," Journal of Econometrics, Elsevier, vol. 221(2), pages 483-509.
    62. Ignace De Vos & Gerdie Everaert, 2016. "Bias-Corrected Common Correlated Effects Pooled Estimation In Homogeneous Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/920, Ghent University, Faculty of Economics and Business Administration.
    63. Victor Chernozhukov & Christian Hansen & Yuan Liao & Yinchu Zhu, 2019. "Inference for heterogeneous effects using low-rank estimations," CeMMAP working papers CWP31/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    64. Anthony N. Rezitis, 2015. "Empirical Analysis of Agricultural Commodity Prices, Crude Oil Prices and US Dollar Exchange Rates using Panel Data Econometric Methods," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 851-868.
    65. Robertson, Donald & Sarafidis, Vasilis & Symons, James, 2010. "IV Estimation of Panels with Factor Residuals," MPRA Paper 26166, University Library of Munich, Germany.
    66. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    67. Matthew Harding & Carlos Lamarche & Chris Muris, 2022. "Estimation of a Factor-Augmented Linear Model with Applications Using Student Achievement Data," Papers 2203.03051, arXiv.org.
    68. Julia Bluszcz & Marica Valente, 2019. "The War in Europe: Economic Costs of the Ukrainian Conflict," Discussion Papers of DIW Berlin 1804, DIW Berlin, German Institute for Economic Research.
    69. Ruoyao Shi & Jinyong Hahn, 2016. "Synthetic Control and Inference," Working Papers 201802, University of California at Riverside, Department of Economics, revised Nov 2017.
    70. Li, Kunpeng & Cui, Guowei & Lu, Lina, 2020. "Efficient estimation of heterogeneous coefficients in panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 216(2), pages 327-353.
    71. G. Forchini & Bin Jiang & Bin Peng, 2015. "Common Shocks in panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 8/15, Monash University, Department of Econometrics and Business Statistics.
    72. Bai, Jushan, 2013. "Likelihood approach to dynamic panel models with interactive effects," MPRA Paper 50267, University Library of Munich, Germany.
    73. Chen, Stacey H. & Chen, Jennjou & Chuang, Hongwei & Lin, Tzu-Hsin, 2023. "Physicians Treating Physicians: Relational and Informational Advantages in Treatment and Survival," IZA Discussion Papers 16048, Institute of Labor Economics (IZA).
    74. Ahn, Seung C. & Perez, M. Fabricio, 2010. "GMM estimation of the number of latent factors: With application to international stock markets," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 783-802, September.
    75. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    76. Hayakawa, Kazuhiko, 2016. "Improved GMM estimation of panel VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 240-264.
    77. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 49/13, Institute for Fiscal Studies.
    78. Juodis, Artūras & Karabiyik, Hande & Westerlund, Joakim, 2021. "On the robustness of the pooled CCE estimator," Journal of Econometrics, Elsevier, vol. 220(2), pages 325-348.
    79. Denis Chetverikov & Elena Manresa, 2022. "Spectral and post-spectral estimators for grouped panel data models," Papers 2212.13324, arXiv.org, revised Dec 2022.
    80. Gao, Z. & Pesaran, M. H., 2022. "Identification and Estimation of Categorical Random Coeficient Models," Cambridge Working Papers in Economics 2228, Faculty of Economics, University of Cambridge.
    81. Joakim Westerlund, 2020. "A cross‐section average‐based principal components approach for fixed‐T panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 776-785, September.
    82. Weili Ding & Steven F. Lehrer, 2014. "Understanding the Role of Time-Varying Unobserved Ability Heterogeneity in Education Production," NBER Working Papers 19937, National Bureau of Economic Research, Inc.
    83. Giovanni Forchini & Bin Jiang & Bin Peng, 2018. "TSLS and LIML Estimators in Panels with Unobserved Shocks," Econometrics, MDPI, vol. 6(2), pages 1-12, April.
    84. Perez, Marcos & Ahn, Seung Chan, 2007. "GMM Estimation of the Number of Latent Factors," MPRA Paper 4862, University Library of Munich, Germany.
    85. Almanidis, Pavlos & Karagiannis, Giannis & Sickles, Robin C., 2015. "Semi-nonparametric Spline Modifications to the Cornwell-Schmidt-Sickles Estimator: An Analysis of U.S. Banking Productivity," Working Papers 15-008, Rice University, Department of Economics.
    86. Wu, Jianhong & Li, Jinchang, 2014. "Testing for individual and time effects in panel data models with interactive effects," Economics Letters, Elsevier, vol. 125(2), pages 306-310.
    87. Duygun, Meryem & Kutlu, Levent & Sickles, Robin C., 2014. "Measuring Productivity and Efficiency: A Kalman," Working Papers 15-010, Rice University, Department of Economics.
    88. Georg Keilbar & Juan M. Rodriguez-Poo & Alexandra Soberon & Weining Wang, 2022. "A semiparametric approach for interactive fixed effects panel data models," Papers 2201.11482, arXiv.org, revised Mar 2023.
    89. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 12/17, Institute for Fiscal Studies.
    90. Jiangtao Duan & Wei Gao & Hao Qu & Hon Keung Tony, 2019. "Subspace Clustering for Panel Data with Interactive Effects," Papers 1909.09928, arXiv.org, revised Feb 2021.
    91. Hayakawa, Kazuhiko, 2018. "Corrected standard errors for optimal minimum distance estimator," Economics Letters, Elsevier, vol. 167(C), pages 5-9.
    92. Ayden Higgins, 2021. "Fixed $T$ Estimation of Linear Panel Data Models with Interactive Fixed Effects," Papers 2110.05579, arXiv.org.
    93. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    94. Artūras Juodis, 2018. "Pseudo Panel Data Models With Cohort Interactive Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 47-61, January.
    95. Tsionas, Mike G. & Mamatzakis, Emmanuel, 2019. "Further results on estimating inefficiency effects in stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1157-1164.
    96. Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Asymptotic distribution of factor augmented estimators for panel regression," Journal of Econometrics, Elsevier, vol. 169(1), pages 48-53.
    97. Yongcheol Shin, 2007. "Comments on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 52-55, May.
    98. Chen, Liang, 2015. "Set identification of panel data models with interactive effects via quantile restrictions," Economics Letters, Elsevier, vol. 137(C), pages 36-40.
    99. Yan Sun & Wei Huang, 2022. "Quasi-maximum likelihood estimation of short panel data models with time-varying individual effects," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(1), pages 93-114, January.
    100. Wu, Jianhong, 2020. "A joint test for serial correlation and heteroscedasticity in fixed-T panel regression models with interactive effects," Economics Letters, Elsevier, vol. 197(C).
    101. Castagnetti, Carolina & Rossi, Eduardo, 2008. "Estimation methods in panel data models with observed and unobserved components: a Monte Carlo study," MPRA Paper 26196, University Library of Munich, Germany.
    102. KiHoon Jimmy Hong & Bin Peng & Xiaohui Zhang, 2014. "Capturing the Impact of Latent Industry-Wide Shocks with Dynamic Panel Model," Research Paper Series 347, Quantitative Finance Research Centre, University of Technology, Sydney.
    103. Fedotenkov, Igor & Idrisov, Georgy, 2021. "A supply-demand model of public sector size," Economic Systems, Elsevier, vol. 45(2).
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    105. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    106. Bai, Jushan & Li, Kunpeng, 2013. "Spatial panel data models with common shocks," MPRA Paper 52786, University Library of Munich, Germany, revised 09 Mar 2014.
    107. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.
    108. Moyle, Brent D. & Scherrer, Pascal & Weiler, Betty & Wilson, Erica & Caldicott, Rod & Nielsen, Noah, 2017. "Assessing preferences of potential visitors for nature-based experiences in protected areas," Tourism Management, Elsevier, vol. 62(C), pages 29-41.
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    112. Kuersteiner, Guido M. & Prucha, Ingmar R., 2013. "Limit theory for panel data models with cross sectional dependence and sequential exogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 107-126.
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  9. Peter Schmidt & Chirok Han & Luis Orea, 2004. "Estimation of a Panel Data Model with Parametric Temporal Variation in Individual Effects," Econometric Society 2004 Far Eastern Meetings 519, Econometric Society.

    Cited by:

    1. Kneip, Alois & Sickles, Robin C. & Song, Wonho, 2012. "A New Panel Data Treatment For Heterogeneity In Time Trends," Econometric Theory, Cambridge University Press, vol. 28(3), pages 590-628, June.
    2. Young H. Lee, 2014. "Stochastic Frontier Models Using GAUSS," Working Papers 1403, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    4. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
    5. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    6. Jinyuan Chang & Zhentao Shi & Jia Zhang, 2021. "Culling the herd of moments with penalized empirical likelihood," Papers 2108.03382, arXiv.org, revised May 2022.
    7. Peng Shi & Wei Zhang, 2011. "A copula regression model for estimating firm efficiency in the insurance industry," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2271-2287.
    8. Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.
    9. Shi, Zhentao, 2016. "Econometric estimation with high-dimensional moment equalities," Journal of Econometrics, Elsevier, vol. 195(1), pages 104-119.
    10. Satchachai, Panutat & Schmidt, Peter, 2008. "GMM with more moment conditions than observations," Economics Letters, Elsevier, vol. 99(2), pages 252-255, May.
    11. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.
    12. Peng Shi & Wei Zhang, 2011. "Time-varying X-efficiency: evidence from US property casualty insurers," Applied Economics Letters, Taylor & Francis Journals, vol. 18(3), pages 217-221.
    13. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2012. "Stochastic frontier analysis using Stata," CEIS Research Paper 251, Tor Vergata University, CEIS, revised 13 Sep 2012.
    14. Hsu, Chih-Chiang & Lin, Chang-Ching & Yin, Shou-Yung, 2012. "Estimation of a panel stochastic frontier model with unobserved common shocks," MPRA Paper 37313, University Library of Munich, Germany.
    15. Millimet, Daniel L. & Bellemare, Marc, 2023. "Fixed Effects and Causal Inference," IZA Discussion Papers 16202, Institute of Labor Economics (IZA).
    16. Zha, Jianping & Tan, Ting & Fan, Rong & Xu, Han & Ma, Siqi, 2020. "How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    17. Peter Schmidt & Antonio Alvarez & Christine Amsler, 2004. "Interpreting and testing the scaling property in models where inefficiency depends on firm characteristics," Econometric Society 2004 Far Eastern Meetings 520, Econometric Society.
    18. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    19. Peter Schmidt & Chirok Han & Luis Orea, 2004. "Estimation of a Panel Data Model with Parametric Temporal Variation in Individual Effects," Econometric Society 2004 Far Eastern Meetings 519, Econometric Society.
    20. Lee, Young Hoon, 2010. "Group-specific stochastic production frontier models with parametric specifications," European Journal of Operational Research, Elsevier, vol. 200(2), pages 508-517, January.
    21. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    22. Sarafidis, Vasilis & Yamagata, Takashi & Robertson, Donald, 2009. "A test of cross section dependence for a linear dynamic panel model with regressors," Journal of Econometrics, Elsevier, vol. 148(2), pages 149-161, February.
    23. Orea, Luis, 2007. "Estimating Firm-Specific Market Power: A Composed Error Term Approach," Efficiency Series Papers 2007/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

  10. Peter Schmidt & Antonio Alvarez & Christine Amsler, 2004. "Interpreting and testing the scaling property in models where inefficiency depends on firm characteristics," Econometric Society 2004 Far Eastern Meetings 520, Econometric Society.

    Cited by:

    1. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    2. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    3. Centorrino, Samuele & Pérez-Urdiales, María, 2023. "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
    4. Ruey-Ching Hwang & Jhao-Siang Siao & Huimin Chung & C. Chu, 2011. "Assessing bankruptcy prediction models via information content of technical inefficiency," Journal of Productivity Analysis, Springer, vol. 36(3), pages 263-273, December.
    5. Fabio Pieri & Enrico Zaninotto, 2013. "Vertical integration and efficiency: an application to the Italian machine tool industry," Small Business Economics, Springer, vol. 40(2), pages 397-416, February.
    6. Jacob A. Bikker & Barbara Casu & Claudia Girardone & Mohamed E Chaffai & Michel Dietsch & Antonio Colangelo & Robert Inklaar & Marco Colagiovanni & Martin Czurda & Roger Hartmann & Charles-Henri Di Ma, 2009. "Productivity in the Financial Services Sector," SUERF Studies, SUERF - The European Money and Finance Forum, number 2009/4 edited by Morten Balling & Ernest Gnan & Frank Lierman & Jean-Pierre Schoder, May.
    7. 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.
    8. Elizaphan J. O. Rao & Bernhard Brümmer & Matin Qaim, 2012. "Farmer Participation in Supermarket Channels, Production Technology, and Efficiency: The Case of Vegetables in Kenya," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(4), pages 891-912.
    9. Fabio Pieri & Enrico Zaninotto, 2010. "The Impact of Vertical Integration and Outsourcing on Firm Efficiency: Evidence from the Italian Machine Tool Industry," DISA Working Papers 1001, Department of Computer and Management Sciences, University of Trento, Italy, revised 11 Mar 2010.
    10. Nyathikala, Sai Amulya & Jamasb, Tooraj & Llorca, Manuel & Kulshrestha, Mukul, 2023. "Utility governance, incentives, and performance: Evidence from India's urban water sector," Utilities Policy, Elsevier, vol. 82(C).
    11. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2021. "Institutions and performance of regulated firms: Evidence from electricity distribution in India," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 68-82.
    12. Subal C. Kumbhakar & Robin Sickles & Hung-Jen Wang, 2023. "Introduction," Empirical Economics, Springer, vol. 64(6), pages 2467-2474, June.
    13. Horrace, William C. & Liu, Xiaodong & Patacchini, Eleonora, 2016. "Endogenous network production functions with selectivity," Journal of Econometrics, Elsevier, vol. 190(2), pages 222-232.
    14. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    15. Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
    16. Cuffey, Joel & Li, Wenying & Yu, Yang & Miao, Ruiqing, 2023. "Retail food environment and household food waste: An empirical study," Food Policy, Elsevier, vol. 117(C).
    17. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    18. Soroush, Golnoush & Cambini, Carlo & Jamasb, Tooraj & Llorca, Manuel, 2020. "Network Utilities Performance and Institutional Quality: Evidence from the Italian Electricity Sector," Working Papers 4-2020, Copenhagen Business School, Department of Economics.
    19. Sun, Kai & Kumbhakar, Subal C., 2013. "Semiparametric smooth-coefficient stochastic frontier model," Economics Letters, Elsevier, vol. 120(2), pages 305-309.
    20. (Daniel) Kao, Ta-Wei & Su, Hung-Chung & Chen, Yi-Su, 2019. "The curvilinear relationships between structural embeddedness and productive efficiency: An exploratory study," International Journal of Production Economics, Elsevier, vol. 212(C), pages 176-185.
    21. Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2019. "Model averaging estimators for the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 51(2), pages 91-103, June.
    22. Lawless, Martina & Martinez-Cillero, Maria & O'Toole, Conor, 2021. "SME investment determinants and financing constraints: A stochastic frontier approach," Papers WP699, Economic and Social Research Institute (ESRI).
    23. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    24. Tamara RUDINSKAYA, 2017. "Heterogeneity and efficiency of food processing companies in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(9), pages 411-420.
    25. Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
    26. Argüelles, Pablo & Orea, Luis, 2020. "Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network," Efficiency Series Papers 2020/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    27. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    28. Yang Yu & Edward C. Jaenicke, 2020. "Estimating Food Waste as Household Production Inefficiency," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 525-547, March.
    29. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
    30. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    31. Orea, Luis & Steinbuks, Jevgenijs, 2012. "Estimating Market Power in Homogenous Product Markets Using a Composed Error Model: Application to the California Electricity Market," Efficiency Series Papers 2012/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    32. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    33. Joseph Palardy & Todd M. Nesbit & Kerry A. Adzima, 2015. "Charter versus traditional public schools: a panel study of the technical efficiency in Ohio," Education Economics, Taylor & Francis Journals, vol. 23(3), pages 278-295, June.
    34. Paul, Satya & Shankar, Sriram, 2018. "On estimating efficiency effects in a stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 271(2), pages 769-774.
    35. Yanyan Liu & Robert Myers, 2009. "Model selection in stochastic frontier analysis with an application to maize production in Kenya," Journal of Productivity Analysis, Springer, vol. 31(1), pages 33-46, February.
    36. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    37. Sugathan, Anish & Malghan, Deepak & Chandrashekar, S. & Sinha, Deepak K., 2019. "Downstream electric utility restructuring and upstream generation efficiency: Productivity dynamics of Indian coal and gas based electricity generators," Energy, Elsevier, vol. 178(C), pages 832-852.
    38. Orea, Luis, 2018. "Infrastructure, resource allocation and productivity growth: a mutually consistent decomposition of inter and intra-industry productivity effects," Efficiency Series Papers 2018/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    39. Gary D. Ferrier, 2014. "Improving the "usefulness" of stochastic frontier analysis for health care," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 27-34.
    40. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
    41. Hung-pin Lai & Cliff Huang, 2010. "Likelihood ratio tests for model selection of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 34(1), pages 3-13, August.
    42. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2018. "Institutions and Performance of Regulated Firms: Evidence from Electric Utilities in the Indian States," Efficiency Series Papers 2018/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    43. Jos L. T. Blanc & Alex A. S. van Heezik & Bas Blank, 2023. "Productivity and efficiency of central government departments: a mixed-effect model applied to Dutch data in the period 2012-2019," Public Sector Economics, Institute of Public Finance, vol. 47(3), pages 335-351.
    44. Fumitoshi Mizutani & Eri Nakamura, 2017. "How do governance factors affect inefficiency? Stochastic frontier analysis of public utility firms in Japan," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 44(3), pages 267-289, September.
    45. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    46. Smith, Andrew S.J., 2012. "The application of stochastic frontier panel models in economic regulation: Experience from the European rail sector," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 503-515.
    47. Xiao-Yan Liu & Li-Qiu Liu & Bai-Chen Xie & Michael G. Pollitt, 2018. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Working Papers EPRG 1820, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    48. Young Hoon Lee, 2010. "The Effects of Management Practices on Productivity: Evidence from Baseball Team Production," Working Papers 1005, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2010.
    49. Ajayi, V. & Weyman-Jones, T., 2021. "State-Level Electricity Generation Efficiency: Do Restructuring and Regulatory Institutions Matter in the US?," Cambridge Working Papers in Economics 2166, Faculty of Economics, University of Cambridge.
    50. Jinjin Zhao, 2020. "Productivity change in the privatized water sector in China (1999–2006)," Journal of Productivity Analysis, Springer, vol. 53(2), pages 227-241, April.
    51. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    52. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.
    53. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
    54. Inmaculada C. Alvarez & Javier Barbero & Luis Orea & Andrés Rodríguez-Pose, 2023. "How institutions shape the economic returns of public investment in European regions," JRC Working Papers on Territorial Modelling and Analysis 2023-08, Joint Research Centre.
    55. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    56. William E. Griffiths & Gholamreza Hajargasht, 2015. "Welfare Consequences of Information Aggregation and Optimal Market Size," Department of Economics - Working Papers Series 1190, The University of Melbourne.
    57. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    58. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    59. Czekaj, Tomasz G., 2015. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," 2015 Conference, August 9-14, 2015, Milan, Italy 211555, International Association of Agricultural Economists.
    60. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    61. Lopez Gomez, Daniel & Parmeter, Christopher F., 2020. "Smooth coefficient estimation of stochastic frontier models," Economics Letters, Elsevier, vol. 193(C).
    62. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    63. Giovanni Forchini & Raoul Theler, 2023. "Semi-parametric modelling of inefficiencies in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 59(2), pages 135-152, April.
    64. Shinji Yane & Sanford Berg, 2013. "Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2337-2348, June.
    65. Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2015. "A post-truncation parameterization of truncated normal technical inefficiency," Journal of Productivity Analysis, Springer, vol. 44(2), pages 209-220, October.
    66. Mustafa U. Karakaplan & Levent Kutlu, 2019. "Estimating market power using a composed error model," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 489-510, September.
    67. Griffiths, William E. & Hajargasht, Gholamreza, 2016. "Some models for stochastic frontiers with endogeneity," Journal of Econometrics, Elsevier, vol. 190(2), pages 341-348.
    68. Saastamoinen, Antti & Kuosmanen, Timo, 2016. "Quality frontier of electricity distribution: Supply security, best practices, and underground cabling in Finland," Energy Economics, Elsevier, vol. 53(C), pages 281-292.
    69. Cheol-Keun Cho & Peter Schmidt, 2020. "The wrong skew problem in stochastic frontier models when inefficiency depends on environmental variables," Empirical Economics, Springer, vol. 58(5), pages 2031-2047, May.
    70. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    71. Nadia Belhaj Hassine & Magda Kandil, 2009. "Trade liberalisation, agricultural productivity and poverty in the Mediterranean region," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 1-29, March.
    72. Maria Martinez Cillero & Fiona Thorne & Michael Wallace & James Breen & Thia Hennessy, 2018. "The Effects of Direct Payments on Technical Efficiency of Irish Beef Farms: A Stochastic Frontier Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 669-687, September.
    73. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2015. "Evaluating the efficiency of Italian public universities (2008-2011) in presence of (unobserved) heterogeneity," Working papers 34, Società Italiana di Economia Pubblica.
    74. Christopher F. Parmeter, 2017. "Estimation of the Two-Tiered Stochastic Frontier Model with the Scaling Property," Working Papers 2017-06, University of Miami, Department of Economics.
    75. Tiziana Laureti, 2008. "Modelling Exogenous Variables in Human Capital Formation through a Heteroscedastic Stochastic Frontier," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(1), pages 76-89, February.
    76. Dimitris K Christopoulos & Gregorios Siourounis & Irene Vlachaki, 2016. "Democratic Reforms, Foreign Aid and Production Inefficiency," Manchester School, University of Manchester, vol. 84(3), pages 363-389, June.
    77. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    78. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    79. Ajayi, Victor & Weyman-Jones, Tom, 2021. "State-level electricity generation efficiency: Do restructuring and regulatory institutions matter in the US?," Energy Economics, Elsevier, vol. 104(C).
    80. Kim, Myungsup & Schmidt, Peter, 2008. "Valid tests of whether technical inefficiency depends on firm characteristics," Journal of Econometrics, Elsevier, vol. 144(2), pages 409-427, June.
    81. Tian, Xu & Sun, Feifei & Zhou, Yingheng, 2015. "Technical Efficiency and Its Determinants in China's Hog Production," 2015 Conference, August 9-14, 2015, Milan, Italy 212718, International Association of Agricultural Economists.
    82. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    83. Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2013. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
    84. Su, Hung-Chung & Kao, Ta-Wei (Daniel) & Linderman, Kevin, 2020. "Where in the supply chain network does ISO 9001 improve firm productivity?," European Journal of Operational Research, Elsevier, vol. 283(2), pages 530-540.
    85. Riera, Félix Sebastián & Brümmer, Bernhard, 2022. "Environmental efficiency of wine grape production in Mendoza, Argentina," Agricultural Water Management, Elsevier, vol. 262(C).
    86. Liu, Yanyan, 2006. "Model Selection in Stochastic Frontier Analysis: Maize Production in Kenya," 2006 Annual meeting, July 23-26, Long Beach, CA 21281, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    87. Tomasz Gerard Czekaj, 2013. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Parametric and Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," IFRO Working Paper 2013/21, University of Copenhagen, Department of Food and Resource Economics.
    88. Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    89. Shamsuzzoha & Makoto Tanaka, 2021. "The role of human capital on the performance of manufacturing firms in Bangladesh," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 21-33, January.
    90. Orea, Luis & Wall, Alan, 2015. "A parametric frontier model for measuring eco-efficiency," Efficiency Series Papers 2015/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    91. Cliff Huang & Hung-pin Lai, 2012. "Estimation of stochastic frontier models based on multimodel inference," Journal of Productivity Analysis, Springer, vol. 38(3), pages 273-284, December.
    92. Peterson, Everett B. & Graham, Thea, 2008. "Open Skies: An Assessment of the US-EU Open Aviation Area Agreement," Conference papers 331713, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    93. Peter Schmidt, 2011. "One-step and two-step estimation in SFA models," Journal of Productivity Analysis, Springer, vol. 36(2), pages 201-203, October.
    94. Cristian Barra & Roberto Zotti, 2017. "Investigating the Human Capital Development–growth Nexus," International Regional Science Review, , vol. 40(6), pages 638-678, November.
    95. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.
    96. Brea, Humberto & Grifell-Tatje, Emili & Orea, Luis, 2012. "Expectations with Unrealistic Optimism: An Empirical Application," Efficiency Series Papers 2012/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    97. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.
    98. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    99. Phill Wheat & William Greene & Andrew Smith, 2014. "Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 55-65, August.
    100. Orea, Luis, 2007. "Estimating Firm-Specific Market Power: A Composed Error Term Approach," Efficiency Series Papers 2007/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    101. Wenche Tobiasson & Manuel Llorca & Tooraj Jamasb, 2021. "Performance Effects of Network Structure and Ownership: The Norwegian Electricity Distribution Sector," Energies, MDPI, vol. 14(21), pages 1-15, November.
    102. Zhaohui Yan & Mingli Wang & Xujun Li & Hui Jiang, 2023. "Impact of African Swine Fever Epidemic on the Cost Intensity of Pork Production in China," Agriculture, MDPI, vol. 13(2), pages 1-18, February.
    103. Martinez-Cillero, Maria & Lawless, Martina & O'Toole, Conor, 2023. "Analysing SME investment, financing constraints and its determinants. A stochastic frontier approach," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 578-588.
    104. Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
    105. Zhang, Tao & Li, Hong-Zhou & Xie, Bai-Chen, 2022. "Have renewables and market-oriented reforms constrained the technical efficiency improvement of China's electric grid utilities?," Energy Economics, Elsevier, vol. 114(C).

  11. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.

    Cited by:

    1. Richard Hofler & John List, 2004. "Valuation on the frontier: Calibrating actual and hypothetical statements of value," Framed Field Experiments 00159, The Field Experiments Website.
    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. Yangseon Kim & Peter Schmidt, 2007. "Marginal Comparisons with the Best ant the Efficiency Measurment Problem," Working Papers 0703, University of Crete, Department of Economics, revised 01 Dec 2006.
    4. Kumbhakar, Subal C. & Löthgren, Mickael, 1998. "A Monte Carlo Analysis of Technical Inefficiency Predictors," SSE/EFI Working Paper Series in Economics and Finance 229, Stockholm School of Economics.
    5. Andrew Street, 2003. "How much confidence should we place in efficiency estimates?," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 895-907, November.
    6. Tai-Hsin Huang & Tong-Liang Kao, 2006. "Joint estimation of technical efficiency and production risk for multi-output banks under a panel data cost frontier model," Journal of Productivity Analysis, Springer, vol. 26(1), pages 87-102, August.
    7. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
    8. Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007. "Identifying technically efficient fishing vessels: a non-empty, minimal subset approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
    9. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2011. "When, where and how to perform efficiency estimation," Cologne Graduate School Working Paper Series 02-06, Cologne Graduate School in Management, Economics and Social Sciences.
    10. Puig-Junoy, Jaume & Argiles, Josep M., 2004. "The influence of management accounting use on farm inefficiency," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(2), pages 1-20, August.
    11. Balcombe, Kelvin George & Doucouliagos, Hristos & Fraser, Iain, 2007. "Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 1-20.
    12. Helvoigt, Ted L. & Adams, Darius M., 2009. "A stochastic frontier analysis of technical progress, efficiency change and productivity growth in the Pacific Northwest sawmill industry," Forest Policy and Economics, Elsevier, vol. 11(4), pages 280-287, July.
    13. Horrace, William C., 2005. "On ranking and selection from independent truncated normal distributions," Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June.
    14. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    15. Christian Growitsch & Jamasb, T. & Pollitt, M., 2005. "Quality of Service, Efficiency and Scale in Network Industries: An analysis of European electricity distribution," Cambridge Working Papers in Economics 0538, Faculty of Economics, University of Cambridge.
    16. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2004. "Cost Efficiency in Regional Bus Companies: An Application of Alternative Stochastic Frontier Models," CEPE Working paper series 04-33, CEPE Center for Energy Policy and Economics, ETH Zurich.
    17. Guerino Ardizzi, 2003. "Cost efficiency in the retail payment networks: first evidence from the Italian credit card system," Temi di discussione (Economic working papers) 480, Bank of Italy, Economic Research and International Relations Area.
    18. Bruce Hollingsworth & Andrew Street, 2006. "The market for efficiency analysis of health care organisations," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1055-1059, October.
    19. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2012. "Stochastic frontier analysis using Stata," CEIS Research Paper 251, Tor Vergata University, CEIS, revised 13 Sep 2012.
    20. Günter Lang & Peter Welzel, 1999. "Mergers Among German Cooperative Banks. A Panel-based Stochastic Frontier Analysis," Working Paper Series B 1999-03, Friedrich Schiller University of Jena, School of of Economics and Business Administration.
    21. Brümmer Bernhard & Glauben Thomas, 2004. "Zur Messung und Erklärung von Produktivitätsentwicklungen: Eine Analyse auf Basis eines stochastischen Distanzfrontieransatzes / Measuring and Explaining Productivity Growth: A Distance Function Appro," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(4), pages 420-444, August.
    22. Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data," Working Papers 0704, University of Crete, Department of Economics.
    23. Jensen, Uwe & Rässler, Susanne, 2007. "The effects of collective bargaining on firm performance : new evidence based on stochastic production frontiers and multiply imputed German establishment data," IAB-Forschungsbericht 200703, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    24. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    25. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Application of Panel Data Models in Benchmarking Analysis of the Electrivity Distribution Sector," CEPE Working paper series 05-39, CEPE Center for Energy Policy and Economics, ETH Zurich.
    26. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    27. William C. Horrace & Seth O. Richards, 2007. "A Monte Carlo Study of Efficiency Estimates from Frontier Models," Center for Policy Research Working Papers 97, Center for Policy Research, Maxwell School, Syracuse University.
    28. Ajibefun, Igbekele A., 2006. "Linking Socio-Economic and Policy Variables to Technical Efficiency of Traditional Agricultural Production: Empirical Evidence from Nigeria," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25535, International Association of Agricultural Economists.
    29. Mäkinen, Mikko, 2007. "Do Stock Opiton Schemes Affect Technical Inefficiency? Evidence from Finland," Discussion Papers 1085, The Research Institute of the Finnish Economy.
    30. William Greene, 2003. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," Journal of Productivity Analysis, Springer, vol. 19(2), pages 179-190, April.
    31. Konstantinos Giannakas & Kien Tran & Vangelis Tzouvelekas, 2003. "Predicting technical effciency in stochastic production frontier models in the presence of misspecification: a Monte-Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 153-161.
    32. Mehdi Farsi & Massimo Filippini, 2008. "Effects of ownership, subsidization and teaching activities on hospital costs in Switzerland," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 335-350, March.
    33. Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.
    34. William C. Horrace, 2002. "Tables of Percentage Points of the k-Variate Normal Distribution for Large Values of k," Econometrics 0206007, University Library of Munich, Germany.
    35. Viliam Druska & William C. Horrace, 2004. "Generalized Moments Estimation for Spatial Panel Data: Indonesian Rice Farming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 185-198.
    36. Farsi, Mehdi & Filippini, Massimo & Kuenzle, Michael, 2007. "Cost efficiency in the Swiss gas distribution sector," Energy Economics, Elsevier, vol. 29(1), pages 64-78, January.
    37. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, 2002. "Evaluating the Impact of Public and Private Agricultural Extension on Farms Performance: A Non-Neutral Stochastic Frontier Approach," Working Papers 0205, University of Crete, Department of Economics.
    38. Frantisek Brazdik, 2006. "Non-Parametric Analysis of Technical Efficiency: Factors Affecting Efficiency of West Java Rice Farms," CERGE-EI Working Papers wp286, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    39. Viliam Druska & William C. Horrace, 2003. "Generalized Moments Estimation for Panel Data," NBER Technical Working Papers 0291, National Bureau of Economic Research, Inc.
    40. Wang, Wei Siang & Schmidt, Peter, 2009. "On the distribution of estimated technical efficiency in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 148(1), pages 36-45, January.
    41. Jaenicke, Edward C. & Frechette, Darren L. & Larson, James A., 2003. "Estimating Production Risk and Inefficiency Simultaneously: An Application to Cotton Cropping Systems," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-18, December.
    42. Kanter, Christopher A. & Hueth, Brent & Gould, Brian W., 2013. "A Comparative Efficiency Analysis of Cooperative and Non-cooperative Dairy Manufacturing Firms," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150497, Agricultural and Applied Economics Association.
    43. Siddharth Chandra, 2002. "A Test of the Regional Growth-Instability Frontier Using State Data," Land Economics, University of Wisconsin Press, vol. 78(3), pages 442-462.
    44. Frantisek Brazdik, 2005. "Oriented stochastic data envelopment models: Ranking comparison to stochastic frontier approach," CERGE-EI Working Papers wp271, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    45. Raimundo Soto & Rosalía Vásquez, 2011. "The Efficiency Cost of the Kafala in Dubai: A Stochastic Frontier Analysis," Documentos de Trabajo 399, Instituto de Economia. Pontificia Universidad Católica de Chile..
    46. William C. Horrace, 2002. "Selection Procedures for Order Statistics in Empirical Economic Studies," Econometrics 0206005, University Library of Munich, Germany.
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    2. Tooraj Jamasb & Luis Orea & Michael G. Pollitt, 2010. "Weather Factors and Performance of Network Utilities: A Methodology and Application to Electricity Distribution," Working Papers EPRG 1020, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    3. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    4. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
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    9. Fabio Pieri & Enrico Zaninotto, 2013. "Vertical integration and efficiency: an application to the Italian machine tool industry," Small Business Economics, Springer, vol. 40(2), pages 397-416, February.
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    23. Fabio Pieri & Enrico Zaninotto, 2010. "The Impact of Vertical Integration and Outsourcing on Firm Efficiency: Evidence from the Italian Machine Tool Industry," DISA Working Papers 1001, Department of Computer and Management Sciences, University of Trento, Italy, revised 11 Mar 2010.
    24. Markose Chekol Zewdie & Michele Moretti & Daregot Berihun Tenessa & Zemen Ayalew Ayele & Jan Nyssen & Enyew Adgo Tsegaye & Amare Sewnet Minale & Steven Van Passel, 2021. "Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach," Land, MDPI, vol. 10(3), pages 1-17, March.
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    22. Cuestas, Juan C. & Gil-Alana, Luís A., 2009. "Further evidence on the PPP analysis of the Australian dollar: Non-linearities, fractional integration and structural changes," Economic Modelling, Elsevier, vol. 26(6), pages 1184-1192, November.
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    45. Salish, Nazarii & Gleim, Alexander, 2019. "A moment-based notion of time dependence for functional time series," Journal of Econometrics, Elsevier, vol. 212(2), pages 377-392.
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    63. Manuel Monge & Ana Lazcano, 2022. "Commodity Prices after COVID-19: Persistence and Time Trends," Risks, MDPI, vol. 10(6), pages 1-20, June.
    64. Gil-Alana, Luis A. & Yaya, OlaOluwa S., 2014. "The relationship between oil prices and the Nigerian stock market. An analysis based on fractional integration and cointegration," Energy Economics, Elsevier, vol. 46(C), pages 328-333.
    65. Giraitis, Liudas & Kokoszka, Piotr & Leipus, Remigijus & Teyssiere, Gilles, 2003. "Rescaled variance and related tests for long memory in volatility and levels," Journal of Econometrics, Elsevier, vol. 112(2), pages 265-294, February.
    66. Luis A. Gil-Alana & OlaOluwa S. Yaya, 2021. "Testing fractional unit roots with non-linear smooth break approximations using Fourier functions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(13-15), pages 2542-2559, November.
    67. Gadea, Maria Dolores & Sabate, Marcela & Serrano, Jose Maria, 2004. "Structural breaks and their trace in the memory: Inflation rate series in the long-run," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(2), pages 117-134, April.
    68. Guglielmo Maria Caporale & Marinko Skare, 2014. "Long Memory in UK Real GDP, 1851-2013: An ARFIMA-FIGARCH Analysis," Discussion Papers of DIW Berlin 1395, DIW Berlin, German Institute for Economic Research.
    69. Agnese, Pablo & Garcia-del-Barrio, Pedro & Gil-Alana, Luis A. & de Gracia, Fernando Perez, 2023. "Precious Metal Prices: A Tale of Four U.S. Recessions," IZA Discussion Papers 16012, Institute of Labor Economics (IZA).
    70. C. P. Barros & Luis A. Gil-Alana, 2015. "Investment and saving in Angola and the Feldstein-Horioka puzzle," Applied Economics, Taylor & Francis Journals, vol. 47(44), pages 4793-4800, March.
    71. Laura Mayoral, 2005. "Is the observed persistence spurious? A test for fractional integration versus short memory and structural breaks," Economics Working Papers 956, Department of Economics and Business, Universitat Pompeu Fabra.
    72. Haldrup; Niels & Morten Oerregaard Nielsen, 2005. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Economics Working Papers 2005-18, Department of Economics and Business Economics, Aarhus University.
    73. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Consistent Inference for Predictive Regressions in Persistent Economic Systems," NBER Working Papers 28568, National Bureau of Economic Research, Inc.
    74. Shao, Xiaofeng & Wu, Wei Biao, 2007. "Local asymptotic powers of nonparametric and semiparametric tests for fractional integration," Stochastic Processes and their Applications, Elsevier, vol. 117(2), pages 251-261, February.
    75. Su, Jen-je, 1998. "Does the method of data detrending matter? A study of the KPSS test against long memory alternatives," Economics Letters, Elsevier, vol. 60(2), pages 139-146, August.
    76. Barros, Carlos Pestana & Gil-Alana, Luis A. & Payne, James E., 2011. "An analysis of oil production by OPEC countries: Persistence, breaks, and outliers," Energy Policy, Elsevier, vol. 39(1), pages 442-453, January.
    77. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2022. "Gold and Silver as Safe Havens: A Fractional Integration and Cointegration Analysis," CESifo Working Paper Series 10084, CESifo.
    78. End, Nicolas, 2023. "Big Brother is also being watched: Measuring fiscal credibility," Journal of Macroeconomics, Elsevier, vol. 77(C).
    79. Kirman Alan & Teyssière Gilles, 2002. "Microeconomic Models for Long Memory in the Volatility of Financial Time Series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(4), pages 1-23, January.
    80. OlaOluwa S. Yaya & Nurudeen Abu & Tayo P. Ogundunmade, 2021. "Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration," Economic Change and Restructuring, Springer, vol. 54(2), pages 541-556, May.
    81. Chen, Yichao & Pun, Chi Seng, 2019. "A bootstrap-based KPSS test for functional time series," Journal of Multivariate Analysis, Elsevier, vol. 174(C).
    82. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Asl, Mahdi Ghaemi & Jalalifar, Saba, 2021. "Financing the green projects: Market efficiency and volatility persistence of green versus conventional bonds, and the comparative effects of health and financial crises," International Review of Financial Analysis, Elsevier, vol. 78(C).
    83. Matei Demetrescu & Uwe Hassler & Adina Tarcolea, 2010. "Testing for stationarity in large panels with cross-dependence, and US evidence on unit labor cost," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(8), pages 1381-1397.
    84. Mehmet Balcilar & Zeynel Abidin Ozdemir & Esin Cakan, 2015. "Structural Breaks, Long Memory, or Unit Roots in Stock Prices: Evidence from Emerging Markets," International Econometric Review (IER), Econometric Research Association, vol. 7(1), pages 13-33, April.
    85. Luis Alberiko Gil-Alana & Pedro Garcia-del-Barrio, 2006. "New Revelations about Unemployment Persistence in Spain," Faculty Working Papers 10/06, School of Economics and Business Administration, University of Navarra.
    86. Luis A. Gil-Alana & Rangan Gupta & Olanrewaju I. Shittu & OlaOluwa S. Yaya, 2016. "Market Efficiency of Baltic Stock Markets: A Fractional Integration Approach," Working Papers 201617, University of Pretoria, Department of Economics.
    87. Luis A. Gil-Alana & Sakiru Adebola Solarin & Rangan Gupta, 2021. "Productivity and GDP: International Evidence of Persistence and Trends Over 130 Years of Data," Working Papers 202170, University of Pretoria, Department of Economics.
    88. Nyo Nyo A. Kyaw & Cornelis A. Los & Sijing Zong, 2004. "Persistence Characteristics of Latin American Financial Markets," Finance 0409048, University Library of Munich, Germany.
    89. Lumengo Bonga‐bonga, 2009. "The South African Aggregate Production Function: Estimation Of The Constant Elasticity Of Substitution Function," South African Journal of Economics, Economic Society of South Africa, vol. 77(2), pages 332-349, June.
    90. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2009. "Long Memory in US Real Output per Capita," Discussion Papers of DIW Berlin 891, DIW Berlin, German Institute for Economic Research.
    91. Christophe Andre & Mehmet Balcilar & Tsangyao Chang & Luis Alberiko Gil-Alana & Rangan Gupta, 2018. "Current account sustainability in G7 and BRICS: Evidence from a long-memory model with structural breaks," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 27(6), pages 638-654, August.
    92. Ahmad Zubaidi Baharumshah & Evan Lau, 2010. "Mean Reversion Of The Fiscal Conduct In 24 Developing Countries," Manchester School, University of Manchester, vol. 78(4), pages 302-325, July.
    93. Sibbertsen, Philipp & Krämer, Walter, 2005. "The Power of the KPSS-Test for Cointegration when Residuals are Fractionally Integrated," Hannover Economic Papers (HEP) dp-318, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    94. Kühl, Michael, 2008. "Strong comovements of exchange rates: Theoretical and empirical cases when currencies become the same asset," University of Göttingen Working Papers in Economics 76, University of Goettingen, Department of Economics.
    95. Taylor, Nick, 2019. "Forecasting returns in the VIX futures market," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1193-1210.
    96. Emilian DOBRESCU, 2022. "Macroeconomic Measurement of Expectations versus Reality," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-30, October.
    97. Yaya, OlaOluwa S & Gil-Alana, Luis A., 2018. "High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach," MPRA Paper 90518, University Library of Munich, Germany.
    98. Monge, Manuel, 2021. "U.S. historical initial jobless claims. Is it different with the coronavirus crisis? A fractional integration analysis," International Economics, Elsevier, vol. 167(C), pages 88-95.
    99. Francisco Javier Lasso Valderrama, 2010. "INCREMENTOS DEL SALARIO MÍNIMO LEGAL: ¿cuál es el impacto redistributivo del cambio en los precios relativos al consumidor?," Borradores de Economia 598, Banco de la Republica de Colombia.
    100. Goodness C. Aye & Luis A. Gil-Alana & Rangan Gupta & Mark Wohar, 2016. "The Efficiency of the Art Market: Evidence from Variance Ratio Tests, Linear and Nonlinear Fractional Integration Approaches," Working Papers 201610, University of Pretoria, Department of Economics.
    101. Baum, Christopher F. & Barkoulas, John, 2006. "Dynamics of Intra-EMS Interest Rate Linkages," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(2), pages 469-482, March.
    102. Yaya, OlaOluwa S. & Ling, Pui Kiew & Furuoka, Fumitaka & Rose Ezeoke, Chinyere Mary & Jacob, Ray Ikechukwu, 2019. "Can West African countries catch up with Nigeria? Evidence from smooth nonlinearity method in fractional unit root framework," International Economics, Elsevier, vol. 158(C), pages 51-63.
    103. Marjan Petreski, 2009. "Brief Empirics Of Interest - Rate Differential In Macedonia," Journal Articles, Center For Economic Analyses, pages 5-11, June.
    104. Luis A. Gil-Alana & Trilochan Tripathy, 2016. "Long Range Dependence in the Indian Stock Market: Evidence of Fractional Integration, Non-Linearities and Breaks," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 199-215, December.
    105. Luis A. Gil-Alana & Guglielmo M. Caporale, 2008. "Modelling the US, the UK and Japanese unemployment rates. Fractional integrationand structural breaks," Faculty Working Papers 11/08, School of Economics and Business Administration, University of Navarra.
    106. Choudhry, Taufiq, 1999. "Purchasing Power Parity in High-Inflation Eastern European Countries: Evidence from Fractional and Harris-Inder Cointegration Tests," Journal of Macroeconomics, Elsevier, vol. 21(2), pages 293-308, April.
    107. John Barkoulas & Christopher F. Baum, 1997. "Long Memory and Forecasting in Euroyen Deposit Rates," Boston College Working Papers in Economics 361, Boston College Department of Economics.
    108. Tsermenidis, Konstantinos, 2014. "Προσδιοριστικοί Παράγοντες Της Εθνικής Αποταμίευσης Κατά Την Περίοδο 1990-2010 Και Μέτρα Ενίσχυσης Της Οικονομικής Ανάπτυξης [The Determinants of National Savings in Greece during the period 1990-2," MPRA Paper 56773, University Library of Munich, Germany.
    109. Héctor F. Salazar-Núñez & Francisco Venegas-Martínez & Cuauhtémoc Calderón-Villareal, 2017. "¿Existe memoria larga en mercados bursátiles, o depende del modelo, periodo o frecuencia? (Is there Long Memory in Stock Markets, or Does it Depend on the Model, Period or Frequency?)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 1-24, May.
    110. Richard T. Baillie & Dooyeon Cho & Seunghwa Rho, 2023. "Approximating long-memory processes with low-order autoregressions: Implications for modeling realized volatility," Empirical Economics, Springer, vol. 64(6), pages 2911-2937, June.
    111. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Modelling Loans to Non-Financial Corporations within the Eurozone: A Long-Memory Approach," CESifo Working Paper Series 8674, CESifo.
    112. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Robert Mudida, 2015. "Testing the Marshall–Lerner Condition in Kenya," South African Journal of Economics, Economic Society of South Africa, vol. 83(2), pages 253-268, June.
    113. Gil-Alana, Luis A. & Carcel, Hector, 2020. "A fractional cointegration var analysis of exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    114. Omane-Adjepong, Maurice & Boako, Gidoen & Alagidede, Paul, 2018. "Modelling heterogeneous speculation in Ghana’s foreign exchange market: Evidence from ARFIMA-FIGARCH and Semi-Parametric methods," MPRA Paper 86617, University Library of Munich, Germany.
    115. Kramer, Walter & Marmol, Francesc, 2004. "The power of residual-based tests for cointegration when residuals are fractionally integrated," Economics Letters, Elsevier, vol. 82(1), pages 63-69, January.
    116. Assaf, Ata, 2015. "Long memory and level shifts in REITs returns and volatility," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 172-182.
    117. Cheng-Feng Lee & Ching-Chuan Tsong, 2012. "A revisit on real interest rate parity hypothesis -- simulation evidence from efficient unit root tests," Applied Economics, Taylor & Francis Journals, vol. 44(24), pages 3089-3099, August.
    118. Cunado, J. & Gil-Alana, L.A. & Gracia, Fernando Perez de, 2010. "Mean reversion in stock market prices: New evidence based on bull and bear markets," Research in International Business and Finance, Elsevier, vol. 24(2), pages 113-122, June.
    119. Wang, Fang, 2023. "Do emerging art market segments have their own price dynamics? Evidence from the Chinese art market," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 318-331.
    120. Mirko Abbritti & Luis A. Gil-Alana & Yuliya Lovcha & Antonio Moreno, 2016. "Term Structure Persistence," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 331-352.
    121. Claudio-Quiroga, Gloria & Gil-Alana, Luis A. & Maiza-Larrarte, Andoni, 2023. "Mineral prices persistence and the development of a new energy vehicle industry in China: A fractional integration approach," Resources Policy, Elsevier, vol. 82(C).
    122. Gil-Alana, Luis A. & Infante, Juan & Martín-Valmayor, Miguel Angel, 2023. "Persistence and long run co-movements across stock market prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 347-357.
    123. Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "Crude oil price behaviour before and after military conflicts and geopolitical events," Energy, Elsevier, vol. 120(C), pages 79-91.
    124. Jen-Je Su, 2003. "On the power of the multivariate KPSS test of stationarity against fractionally integrated alternatives," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 637-641.
    125. Rania Jammazi & Chaker Aloui, 2014. "Cyclical components and dual long memory in the foreign exchange rate dynamics: the Tunisian case," Working Papers 2014-198, Department of Research, Ipag Business School.
    126. Özgür Ömer Ersin & Melike Bildirici, 2023. "Financial Volatility Modeling with the GARCH-MIDAS-LSTM Approach: The Effects of Economic Expectations, Geopolitical Risks and Industrial Production during COVID-19," Mathematics, MDPI, vol. 11(8), pages 1-26, April.
    127. Yaya, OlaOluwa S. & Vo, Xuan Vinh, 2021. "Testing day-of-the-week persistence and seasonality in Spanish Electricity Energy prices," MPRA Paper 112652, University Library of Munich, Germany, revised 03 Apr 2022.
    128. Guglielmo Maria Caporale & Luis A. Gil-Alana & OlaOluwa Simon Yaya, 2022. "Modelling Persistence and Non-Linearities in the US Treasury 10-Year Bond Yields," CESifo Working Paper Series 9554, CESifo.
    129. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    130. Lee, Hyung S. & Amsler, Christine, 1997. "Consistency of the KPSS unit root test against fractionally integrated alternative," Economics Letters, Elsevier, vol. 55(2), pages 151-160, August.
    131. Psaradellis, Ioannis & Sermpinis, Georgios, 2016. "Modelling and trading the U.S. implied volatility indices. Evidence from the VIX, VXN and VXD indices," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1268-1283.
    132. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Awe, Olushina O., 2017. "Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach," Resources Policy, Elsevier, vol. 53(C), pages 117-124.
    133. Juan Carlos Cuestas & Luis A. Gil-Alana, 2011. "Unemployment hysteresis, structural changes, non-linearities and fractional integration in European transition economies," Working Papers 2011005, The University of Sheffield, Department of Economics, revised Feb 2011.
    134. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2021. "The Relationship between Prices and Output in the UK and the US," CESifo Working Paper Series 8970, CESifo.
    135. Cho, Cheol-Keun & Amsler, Christine & Schmidt, Peter, 2015. "A test of the null of integer integration against the alternative of fractional integration," Journal of Econometrics, Elsevier, vol. 187(1), pages 217-237.
    136. Sakiru Adebola Solarin & Luis A. Gil-Alana & Carmen Lafuente, 2020. "Persistence of the Misery Index in African Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 825-841, February.
    137. Koustas, Zisimos & Serletis, Apostolos, 2005. "Rational bubbles or persistent deviations from market fundamentals?," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2523-2539, October.
    138. Luis A. Gil-Alana & Rangan Gupta & Fernando Perez de Gracia, 2016. "Persistence, mean reversion and non-linearities in the US housing prices over 1830--2013," Applied Economics, Taylor & Francis Journals, vol. 48(34), pages 3244-3252, July.
    139. Berta Marcos Ceron & Manuel Monge, 2023. "Consumer Sentiment and Luxury Behavior in the United States before and after COVID-19: Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(16), pages 1-14, August.
    140. Lujia Bai & Weichi Wu, 2021. "Detecting long-range dependence for time-varying linear models," Papers 2110.08089, arXiv.org, revised Mar 2023.
    141. Choudhry, Taufiq, 2003. "Stock market volatility and the US consumer expenditure," Journal of Macroeconomics, Elsevier, vol. 25(3), pages 367-385, September.
    142. Manuel Landajo & María José Presno, 2022. "The prices of renewable commodities: a robust stationarity analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 447-470, April.
    143. Yaya, OlaOluwa S. & Gil-Alana, Luis A., 2014. "The persistence and asymmetric volatility in the Nigerian stock bull and bear markets," Economic Modelling, Elsevier, vol. 38(C), pages 463-469.
    144. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2023. "Long-Run Trends and Cycles in US House Prices," CESifo Working Paper Series 10751, CESifo.
    145. Ata Assaf, 2006. "Canadian REITs and Stock Prices: Fractional Cointegration and Long Memory," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 441-462.
    146. Geoffrey Ngene & Kenneth A. Tah & Ali F. Darrat, 2017. "Long memory or structural breaks: Some evidence for African stock markets," Review of Financial Economics, John Wiley & Sons, vol. 34(1), pages 61-73, September.
    147. Hassler Uwe & Wolters Jürgen, 2009. "Hysteresis in Unemployment Rates? A Comparison between Germany and the US," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(2-3), pages 119-129, April.
    148. Emmanuel Apergis & Nicholas Apergis, 2019. "“Sakura” has not grown in a day: infrastructure investment and economic growth in Japan under different tax regimes," Empirical Economics, Springer, vol. 57(2), pages 541-567, August.
    149. Guglielmo Maria Caporale & Luis A. Gil-Alana & Miguel Martin-Valmayor, 2020. "Non-Linearities and Persistence in US Long-Run Interest Rates," CESifo Working Paper Series 8744, CESifo.
    150. Luis Alberiko Gil-Alana & Francisco Puertolas-Montanes, 2023. "Profitability of private equity: mean reversion and transitory shocks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 458-471, June.
    151. Marwan Izzeldin & Anthony Murphy, 2000. "Bootstrapping the Small Sample Critical Values of the Rescaled Range Statistic," The Economic and Social Review, Economic and Social Studies, vol. 31(4), pages 351-359.
    152. Choudhry, Taufiq, 2001. "Inflation and rates of return on stocks: evidence from high inflation countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(1), pages 75-96, March.
    153. Yaya, OlaOluwa Simon & Gil-Alana, Luis Alberiko & Carcel, Hector, 2015. "Testing fractional persistence and non-linearities in the natural gas market: An application of non-linear deterministic terms based on Chebyshev polynomials in time," Energy Economics, Elsevier, vol. 52(PA), pages 240-245.
    154. Guglielmo Maria Caporale & Luis A Gil-Alana & Olaoluwa Simon Yaya, 2022. "Modeling persistence and non-linearities in the US treasury 10-year bond yields," Economics Bulletin, AccessEcon, vol. 42(3), pages 1221-1229.
    155. Yaya, OlaOluwa S. & Gil-Alana, Luis A. & Adekoya, Oluwasegun B. & Vo, Xuan Vinh, 2021. "How fearful are commodities and US stocks in response to global fear? Persistence and cointegration analyses," Resources Policy, Elsevier, vol. 74(C).
    156. Roberts, Gavin, 2019. "Revisiting the Drivers of Natural Gas Prices. A replication study of Brown & Yücel (The Energy Journal, 2008)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 3(2019-2), pages 1-24.
    157. Horváth, Lajos & Kokoszka, Piotr & Rice, Gregory, 2014. "Testing stationarity of functional time series," Journal of Econometrics, Elsevier, vol. 179(1), pages 66-82.
    158. Monge, Manuel & Poza, Carlos & Borgia, Sofía, 2022. "A proposal of a suspicion of tax fraud indicator based on Google trends to foresee Spanish tax revenues," International Economics, Elsevier, vol. 169(C), pages 1-12.
    159. Laura Mayoral, 2005. "Further evidence on the statistical properties of real GNP," Economics Working Papers 955, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2006.
    160. Luis Gil-Alana & Trilochan Tripathy, 2014. "Mean Reversion in Agricultural Commodity Prices in India," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(4), pages 385-398, November.
    161. Hélène Chevrou-Séverac, 2002. "Convergence monétaire européenne, PPA et PINC," Économie et Prévision, Programme National Persée, vol. 155(4), pages 79-94.
    162. Gennadi Gromykov & Mohamedou Ould Haye & Anne Philippe, 2018. "A frequency-domain test for long range dependence," Statistical Inference for Stochastic Processes, Springer, vol. 21(3), pages 513-526, October.
    163. Russell Smyth, 2012. "Are fluctuations in energy variables permanent or transitory? A survey of the literature on the integration properties of energy consumption and production," Monash Economics Working Papers 04-12, Monash University, Department of Economics.
    164. Guglielmo Maria Caporale & Luis A. Gil-Alana & Pablo Vicente Trejo, 2021. "Unemployment Persistence in Europe: Evidence from the 27 EU Countries," CESifo Working Paper Series 9392, CESifo.
    165. Yaya, OlaOluwa S & Ling, Pui Kiew & Furuoka, Fumitaka & Ezeoke, Chinyere Mary Rose & Jacob, Ray Ikechukwu, 2018. "Can Western African countries catch up with Nigeria? Evidence from Smooth Nonlinearity method in Fractional Unit root framework," MPRA Paper 90517, University Library of Munich, Germany.
    166. Robert A. Connolly & Z. Nuray Güner & Kenneth N. Hightower, 2007. "Evidence on the Extent and Potential Sources of Long Memory in U.S. Treasury Security Returns and Yields," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 689-702, March.
    167. Luis Alberiko Gil-Alaña & Borja Balprad & Guglielmo Maria Caporale & Hector Carcel, 2015. "Exchange Rate Dynamics and Monetary Unions in Africa: A Fractional Integration and Cointegration Analysis," NCID Working Papers 11/2015, Navarra Center for International Development, University of Navarra.
    168. Goodness C. Aye & Hector Carcel & Luis A. Gil-Alana & Rangan Gupta, 2017. "Does Gold Act as a Hedge against Inflation in the UK? Evidence from a Fractional Cointegration Approach Over 1257 to 2016," Working Papers 201753, University of Pretoria, Department of Economics.
    169. Luis A. Gil-Alana & Yun Cao, 2011. "Stock market prices in China. Efficiency, mean reversion, long memory volatility and other implicit dynamics," Faculty Working Papers 12/11, School of Economics and Business Administration, University of Navarra.
    170. Cuestas, Juan C. & Gil-Alana, Luis A. & Staehr, Karsten, 2011. "A further investigation of unemployment persistence in European transition economies," Journal of Comparative Economics, Elsevier, vol. 39(4), pages 514-532.
    171. Caporale, Guglielmo Maria & Gil-Alana, Luis A. & Poza, Carlos, 2020. "High and low prices and the range in the European stock markets: A long-memory approach," Research in International Business and Finance, Elsevier, vol. 52(C).
    172. Luis Alberiko Gil-Alaña & Borja Balprad & Guglielmo Maria Caporale, 2015. "African Growth, Non-Linearities and Strong Dependence: An Empirical Study," NCID Working Papers 12/2015, Navarra Center for International Development, University of Navarra.
    173. Gündüz, Yalin & Kaya, Orcun, 2013. "Sovereign default swap market efficiency and country risk in the eurozone," Discussion Papers 08/2013, Deutsche Bundesbank.
    174. Murphy, A. & Izzeldin, M., 2009. "Bootstrapping long memory tests: Some Monte Carlo results," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2325-2334, April.
    175. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry," Energy Policy, Elsevier, vol. 68(C), pages 243-253.
    176. Tsay, Wen-Jen, 2000. "Long memory story of the real interest rate," Economics Letters, Elsevier, vol. 67(3), pages 325-330, June.
    177. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Time-varying long-range dependence in US interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 360-367.
    178. Taylor, Nicholas, 2008. "Can idiosyncratic volatility help forecast stock market volatility?," International Journal of Forecasting, Elsevier, vol. 24(3), pages 462-479.
    179. Gil-Alana, Luis A. & Mudida, Robert & Carcel, Hector, 2017. "Shocks affecting electricity prices in Kenya, a fractional integration study," Energy, Elsevier, vol. 124(C), pages 521-530.
    180. Baulch, B., 2018. "Impacts of the 2016-17 Food Insecurity Response Program on maize prices in Malawi," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277330, International Association of Agricultural Economists.
    181. Monge, Manuel & Romero Rojo, María Fátima & Gil-Alana, Luis Alberiko, 2023. "The impact of geopolitical risk on the behavior of oil prices and freight rates," Energy, Elsevier, vol. 269(C).
    182. Manuel Monge & Juan Infante, 2023. "A Fractional ARIMA (ARFIMA) Model in the Analysis of Historical Crude Oil Prices," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 4(1), pages 1-3.
    183. Cleomar Gomes da Silva & Flávio Vilela Vieira, 2014. "BRICS countries: real interest rates and long memory," Economics Bulletin, AccessEcon, vol. 34(1), pages 409-419.
    184. Monge, Manuel & Lazcano, Ana & Parada, José Luis, 2023. "Growth vs value investing: Persistence and time trend before and after COVID-19," Research in International Business and Finance, Elsevier, vol. 65(C).
    185. Jesús Tomás Monge Moreno & Manuel Monge, 2023. "Consumer Sentiment in the United States and the Impact of Mental Disorders on Consumer Behavior—Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(13), pages 1-10, July.
    186. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.
    187. G. K. Randolph TAN, 2004. "Long Memory in Import and Export Price Inflation and Persistence of Shocks to the Terms of Trade," Econometric Society 2004 Far Eastern Meetings 732, Econometric Society.
    188. Laura Mayoral, 2003. "Further Evidence on the Uncertain (Fractional) Unit Root in Real GNP," Working Papers 82, Barcelona School of Economics.
    189. Juan Carlos Cuestas & Luis A. Gil-Alana, 2009. "Unemployment hysteresis, structural changes, non-linearities and fractional integration in Central and Eastern Europe," NBS Discussion Papers in Economics 2009/6, Economics, Nottingham Business School, Nottingham Trent University.
    190. Giorgio Canarella & Luis A. Gil‐Alana & Rangan Gupta & Stephen M. Miller, 2022. "The behaviour of real interest rates: New evidence from a 'suprasecular' perspective," International Finance, Wiley Blackwell, vol. 25(1), pages 46-64, April.
    191. Choudhry, Taufiq, 2005. "Exchange rate volatility and the United States exports: evidence from Canada and Japan," Journal of the Japanese and International Economies, Elsevier, vol. 19(1), pages 51-71, March.
    192. Borja Balparda & Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2017. "The fisher relationship in Nigeria," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(2), pages 343-353, April.
    193. Steven Clark & T. Coggin, 2011. "Are U.S. stock prices mean reverting? Some new tests using fractional integration models with overlapping data and structural breaks," Empirical Economics, Springer, vol. 40(2), pages 373-391, April.

  16. Cornwell, C. & Schmidt, P., 1993. "Production Frontiers and Efficiency Measurement," Papers 427e, Georgia - College of Business Administration, Department of Economics.

    Cited by:

    1. Yélou, Clément & Larue, Bruno & Tran, Kien C., 2010. "Threshold effects in panel data stochastic frontier models of dairy production in Canada," Economic Modelling, Elsevier, vol. 27(3), pages 641-647, May.
    2. Chih-Hai Yang & Hsuan-Yu Lin & Chiang-Ping Chen, 2014. "Measuring the efficiency of NBA teams: additive efficiency decomposition in two-stage DEA," Annals of Operations Research, Springer, vol. 217(1), pages 565-589, June.
    3. Gagnepain, Philippe & Ivaldi, Marc, 1999. "Incentive Regulatory Policies: The Case of Public Transit Systems in France," IDEI Working Papers 84, Institut d'Économie Industrielle (IDEI), Toulouse.
    4. Nirup M. Menon & Byungtae Lee & Leslie Eldenburg, 2000. "Productivity of Information Systems in the Healthcare Industry," Information Systems Research, INFORMS, vol. 11(1), pages 83-92, March.
    5. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    6. Julio Peña & Julio Aguirre & René Cerca D'amico, 2004. "Pesca demersal en Chile: eficiencia técnica y escalas de operación," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 19(1), pages 119-160, June.
    7. José Manuel Pastor Monsálvez & Lorenzo Serrano Martínez & Pedro Cantos, 2002. "Cost And Revenue Inefficiencies In The European Railways," Working Papers. Serie EC 2002-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    8. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
    9. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    10. Abid A. Burki & Haq Nawaz Shah, 1998. "Stochastic Frontier and Technical Efficiency of Farms in Irrigated Areas of Pakistan's Punjab," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 37(3), pages 275-291.
    11. Basanta R. Dhungana & Peter L. Nuthall & Gilbert V. Nartea, 2004. "Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 347-369, June.
    12. Koen De Backer & Leo Sleuwaegen, 2005. "A closer look at the productivity advantage of foreign affiliates," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 12(1), pages 17-34.
    13. Lorena Androutsou & Michail Kokkinos & Dimitra Latsou & Mary Geitona, 2022. "Assessing the Efficiency and Productivity of the Hospital Clinics on the Island of Rhodes during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(23), pages 1-12, November.
    14. Karine Chapelle & Patrick Plane, 2005. "Technical efficiency measurement within the manufacturing sector in Cote d'Ivoire: A stochastic frontier approach," Journal of Development Studies, Taylor & Francis Journals, vol. 41(7), pages 1303-1324.
    15. Chang, Ming-Chung, 2014. "Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU," Energy Policy, Elsevier, vol. 67(C), pages 648-655.
    16. João Serafim Tusi da Silveira & Lucélia Ivonete Juliani & Lucas Veiga Ávila & José Tavares De Borba, 2016. "Hospital Technical Efficiency Measurement Through of a Stochastic Frontier Cost Panel," International Business Research, Canadian Center of Science and Education, vol. 9(11), pages 208-214, November.
    17. Loaiza Quintero, Osmar Leandro & Franco Vásquez, Liliana Yaned, 2012. "Un estudio acerca de los determinantes de la productividad y la ineficiencia técnica en la industria colombiana, 1992-2007 [Determinants of productivity and technical inefficiency in Colombia’s man," MPRA Paper 47736, University Library of Munich, Germany, revised 20 Jun 2013.
    18. William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26.
    19. Clifford B. Sowell & Wm. Stewart Mounts Jr., 2005. "Ability, Age, and Performance," Journal of Sports Economics, , vol. 6(1), pages 78-97, February.

  17. Ahn, S.C. & Schmidt, P., 1993. "Efficient Estimation of Dynamic Panel Data Models Under Alternative Sets of Assumptions," Papers 9200, Michigan State - Econometrics and Economic Theory.

    Cited by:

    1. Crepon, Bruno & Kramarz, Francis & Trognon, Alain, 1997. "Parameters of interest, nuisance parameters and orthogonality conditions An application to autoregressive error component models," Journal of Econometrics, Elsevier, vol. 82(1), pages 135-156.

  18. Tieslau, M.A. & Schmidt, P. & Baillie, R.T., 1992. "A Generalized Method of Moments Estimator for Long-Memory Processes," Papers 9247, Tilburg - Center for Economic Research.

    Cited by:

    1. Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," LIDAM Reprints CORE 1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  19. Lee, J. & Schmidt, P., 1991. "A Modification of the Schmidt-Phillips Unit Root Test," Papers 9001, Michigan State - Econometrics and Economic Theory.

    Cited by:

    1. Hassler, Uwe & Rodrigues, Paulo M. M., 2002. "Seasonal Unit Root Tests under Structural Breaks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 37696, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. H. Peter Boswijk & Michael Jansson & Morten Ørregaard Nielsen, 2012. "Improved Likelihood Ratio Tests for Cointegration Rank in the VAR Model," CREATES Research Papers 2012-39, Department of Economics and Business Economics, Aarhus University.
    3. Yasir Khan & Taimoor Hassan & Cai Shukai & Hana Oubaih & Muhammad Nisar Khan & Jawed Kootwal & Ubaid Ur Rahman Rehimi, 2022. "The nexus between infrastructure development, economic growth, foreign direct investment, and trade: an empirical investigation from China’s regional trade data," SN Business & Economics, Springer, vol. 2(7), pages 1-31, July.
    4. Hwang, Jaeyoun & Schmidt, Peter, 1996. "Alternative methods of detrending and the power of unit root tests," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 227-248.
    5. Paulo M.M. Rodrigues & A. M. Robert Taylor, 2009. "The Flexible Fourier Form and Local GLS De-trended Unit Root Tests," Working Papers w200919, Banco de Portugal, Economics and Research Department.
    6. Valérie Mignon & Christophe Hurlin, 2005. "Une synthèse des tests de racine unitaire sur données de panel," Économie et Prévision, Programme National Persée, vol. 169(3), pages 253-294.
    7. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    8. Breitung, Jorg & Gourieroux, Christian, 1997. "Rank tests for unit roots," Journal of Econometrics, Elsevier, vol. 81(1), pages 7-27, November.
    9. Luis C. Nunes & Paulo M. M. Rodrigues, 2011. "On LM‐type tests for seasonal unit roots in the presence of a break in trend," Journal of Time Series Analysis, Wiley Blackwell, vol. 32(2), pages 108-134, March.
    10. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    11. Joakim Westerlund & David L. Edgerton, 2007. "New Improved Tests for Cointegration with Structural Breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(2), pages 188-224, March.
    12. Luiz de Mello & Mauro Pisu, 2009. "The Bank Lending Channel of Monetary Transmission in Brazil: A VECM Approach," OECD Economics Department Working Papers 711, OECD Publishing.
    13. Vougas, Dimitrios V., 2007. "GLS detrending and unit root testing," Economics Letters, Elsevier, vol. 97(3), pages 222-229, December.
    14. Ghoshray, Atanu, 2019. "Do international primary commodity prices exhibit asymmetric adjustment?," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 40-50.
    15. Vougas, Dimitrios V., 2008. "Unit root testing based on BLUS residuals," Statistics & Probability Letters, Elsevier, vol. 78(13), pages 1943-1947, September.
    16. Lee, Junsoo & Strazicich, Mark C. & Yu, Byung Chul, 2011. "LM threshold unit root tests," Economics Letters, Elsevier, vol. 110(2), pages 113-116, February.
    17. Toda, Hiro Y. & McKenzie, C.R., 1999. "LM tests for unit roots in the presence of missing observations: small sample evidence1Earlier versions of this paper were presented at the European Meeting of the Econometric Society, Toulouse, Augus," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 457-468.

  20. Lee, J. & Schmidt, P., 1990. "Unit Root Tests Based on Instrumental Variables Estimation," Papers 9008, Michigan State - Econometrics and Economic Theory.

    Cited by:

    1. Tilak Abeysinghe & Gulasekaran Rajaguru, 2009. "A Gaussian Test for Cointegration," Microeconomics Working Papers 22013, East Asian Bureau of Economic Research.
    2. Lavan Mahadeva and Paul Robinson, 2004. "Unit Root Testing in a Central Bank," Handbooks, Centre for Central Banking Studies, Bank of England, number 22, April.
    3. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    4. Alastair Hall, 1995. "Residual Autocovariances And Unit Root Tests Based On Instrumental Variable Estimators From Time Series Regression Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(6), pages 555-569, November.

  21. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.

    Cited by:

    1. Souvik Gupta & Mr. Magnus Saxegaard, 2009. "Measures of Underlying Inflation in Sri Lanka," IMF Working Papers 2009/167, International Monetary Fund.
    2. Mohsen Bahmani‐Oskooee & Tsangyao Chang & Farhang Niroomand & Omid Ranjbar, 2020. "Fourier nonlinear quantile unit root test and PPP in Africa," Bulletin of Economic Research, Wiley Blackwell, vol. 72(4), pages 451-481, October.
    3. Antonio Afonso & Florence Huart & João Tovar Jalles & Piotr Stanek, 2018. "Assessing the sustainability of external imbalances in the European Union," Post-Print hal-01914597, HAL.
    4. Yen-Hsiao Chen & Lianfeng Quan, 2013. "Rational speculative bubbles in the Asian stock markets: Tests on deterministic explosive bubbles and stochastic explosive root bubbles," Journal of Asset Management, Palgrave Macmillan, vol. 14(3), pages 195-208, June.
    5. Shane, Mathew & Roe, Terry & Somwaru, Agapi, 2008. "Exchange Rates, Foreign Income, and U. S. Agricultural Exports," Agricultural and Resource Economics Review, Cambridge University Press, vol. 37(2), pages 160-175, October.
    6. Flavio Vilela Vieira & Cleomar Gomes Da Silva, 2018. "Brics Export Performance: An Ardl Bounds Testing Empirical Investigation," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 101, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Assaf, Ata, 2016. "MENA stock market volatility persistence: Evidence before and after the financial crisis of 2008," Research in International Business and Finance, Elsevier, vol. 36(C), pages 222-240.
    8. Markus Jäntti & Stephen Jenkins, 2010. "The impact of macroeconomic conditions on income inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(2), pages 221-240, June.
    9. Rice, William L. & Park, So Young & Pan, Bing & Newman, Peter, 2019. "Forecasting campground demand in US national parks," Annals of Tourism Research, Elsevier, vol. 75(C), pages 424-438.
    10. Jérôme Creel & Hervé Le Bihan, 2006. "Using Structural Balance Data to Test the Fiscal Theory of the Price Level: Some International Evidence," SciencePo Working papers Main hal-01065036, HAL.
    11. Pereira, Diogo Santos & Marques, António Cardoso, 2020. "How should price-responsive electricity tariffs evolve? An analysis of the German net demand case," Utilities Policy, Elsevier, vol. 66(C).
    12. Alan Bartley, William & Lee, Junsoo & Strazicich, Mark C., 2001. "Testing the null of cointegration in the presence of a structural break," Economics Letters, Elsevier, vol. 73(3), pages 315-323, December.
    13. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," PSE Working Papers halshs-00564897, HAL.
    14. Dankenbring, Henning, 1998. "Volatility estimates of the short term interest rate with an application to German data," SFB 373 Discussion Papers 1998,96, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    15. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2009. "The impact of the initial condition on robust tests for a linear trend," Discussion Papers 09/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    16. Yen-Hsien Lee & Chien-Liang Chiu, 2007. "The Impact of the QFIIs Deregulation on Normal and Abnormal Information Transmission Between the Stock and Exchange rates in Taiwan," Economics Bulletin, AccessEcon, vol. 3(22), pages 1-10.
    17. Diekmann, Antonius & Haverkamp, Matthias & Mußhoff, Oliver, 2015. "Die Bewertung der Umstellung von einer jährlichen Ackerkultur auf den Anbau von Miscanthus – Eine Anwendung des Realoptionsansatzes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(01), March.
    18. Felipe, Jesus & Lanzafame, Matteo, 2018. "The PRC’s Long-Run Growth through the Lens of the Export-Led Growth Model," ADB Economics Working Paper Series 555, Asian Development Bank.
    19. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    20. El Montasser, Ghassen, 2014. "The seasonal KPSS Test: some extensions and further results," MPRA Paper 54920, University Library of Munich, Germany.
    21. Elgammal, Mohammed M. & Ahmed, Walid M.A. & Alshami, Abdullah, 2021. "Price and volatility spillovers between global equity, gold, and energy markets prior to and during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 74(C).
    22. Giulietti, Monica & Grossi, Luigi & Waterson, Michael, 2011. "A Rough Examination of the value of gas storage," Economic Research Papers 270757, University of Warwick - Department of Economics.
    23. Siti Nur Zahara HAMZAH & Evan LAU, 2013. "The role of social factors in explaining crime," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(6(583)), pages 99-118, June.
    24. Areola Hernandez, Jose & Uddin, Gazi Salah & Dutta, Anupam & Ahmed, Ali & Kang, Sang Hoon, 2020. "Are ethanol markets globalized or regionalized?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    25. Guglielmo Maria Caporale & Davide Ciferri & Alessandro Girardi, 2008. "Fiscal Shocks and Real Exchange Rate Dynamics: Some Evidence for Latin America," CESifo Working Paper Series 2228, CESifo.
    26. Christian Growitsch & Marcus Stronzik & Rabindra Nepal, 2015. "Price Convergence and Information Efficiency in German Natural Gas Markets," German Economic Review, Verein für Socialpolitik, vol. 16(1), pages 87-103, February.
    27. doğru, bülent, 2013. "Seigniorage Revenue and Inflation Tax in Turkish economy," MPRA Paper 45538, University Library of Munich, Germany.
    28. Gilberto A. Libanio, 2004. "Unit roots in macroeconomic time series: theory, implications, and evidence," Textos para Discussão Cedeplar-UFMG td228, Cedeplar, Universidade Federal de Minas Gerais.
    29. Jorge Andrés Tamayo Castaño, 2012. "Asimetrías en la demanda por trabajo en Colombia: el papel del ciclo económico," Borradores de Economia 9286, Banco de la Republica.
    30. Bruneau, C. & De Bandt, O., 1999. "Fiscal Policy in the Transition to Monetary Union: a Structural VAR Model," Working papers 60, Banque de France.
    31. Aparicio, Felipe M. & Escribano, Álvaro & García, Ana, 2004. "A range unit root test," DES - Working Papers. Statistics and Econometrics. WS ws041104, Universidad Carlos III de Madrid. Departamento de Estadística.
    32. Azwan, Nurul Iman & Masih, Mansur, 2019. "Is the relationship between housing price and banking debt symmetric or non-symmetric? evidence from Malaysia based on NARDL," MPRA Paper 94685, University Library of Munich, Germany.
    33. Erik Hjalmarsson & Pär Österholm, 2010. "Testing for cointegration using the Johansen methodology when variables are near-integrated: size distortions and partial remedies," Empirical Economics, Springer, vol. 39(1), pages 51-76, August.
    34. Naseem, N.A.M & Tan, Hui-Boon & Hamizah, M.S, 2008. "Exchange Rate Misalignment, Volatility and Import Flows in Malaysia," MPRA Paper 41571, University Library of Munich, Germany.
    35. Fabio C. Bagliano & Claudio Morana, 2006. "International Macroeconomic Dynamics: a Factor Vector Autoregressive Approach," ICER Working Papers 41-2006, ICER - International Centre for Economic Research.
    36. Chiara Casoli & Riccardo (Jack) Lucchetti, 2022. "Permanent-Transitory decomposition of cointegrated time series via dynamic factor models, with an application to commodity prices [Commodity-price comovement and global economic activity]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 494-514.
    37. Jens J. Krüger, 2021. "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 293-319, December.
    38. Thomas A. Knetsch, 2004. "Evaluating the German Inventory Cycle – Using Data from the Ifo Business Survey," CESifo Working Paper Series 1202, CESifo.
    39. Chyi Lin Lee & Ming-Long Lee, 2012. "Do European real estate stocks hedge inflation? Evidence from developed and emerging markets," ERES eres2012_155, European Real Estate Society (ERES).
    40. Lee, Chi-Chuan & Lee, Chien-Chiang & Ning, Shao-Lin, 2017. "Dynamic relationship of oil price shocks and country risks," Energy Economics, Elsevier, vol. 66(C), pages 571-581.
    41. Pierre-Olivier Gourinchas & Hélène Rey, 2007. "International Financial Adjustment," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 665-703, August.
    42. Lunina, Veronika, 2016. "Joint Modelling of Power Price, Temperature, and Hydrological Balance with a View towards Scenario Analysis," Working Papers 2016:30, Lund University, Department of Economics.
    43. Tilak Abeysinghe & Gulasekaran Rajaguru, 2009. "A Gaussian Test for Cointegration," Microeconomics Working Papers 22013, East Asian Bureau of Economic Research.
    44. Morten Ørregaard Nielsen, 2009. "Nonparametric Cointegration Analysis of Fractional Systems With Unknown Integration Orders," CREATES Research Papers 2009-02, Department of Economics and Business Economics, Aarhus University.
    45. Graflund, Andreas, 2000. "Dynamic Capital Structure: the Case of Hufvudstaden," Working Papers 2000:20, Lund University, Department of Economics.
    46. Olivier Bonroy & Jean-Philippe Gervais & Bruno Larue, 2007. "Are exports a monotonic function of exchange rate volatility? Evidence from disaggregated pork exports," Canadian Journal of Economics, Canadian Economics Association, vol. 40(1), pages 127-154, February.
    47. Hadri, Kaddour & Kurozumi, Eiji, 2012. "A simple panel stationarity test in the presence of serial correlation and a common factor," Economics Letters, Elsevier, vol. 115(1), pages 31-34.
    48. Gaetano Perone, 2022. "Using the SARIMA Model to Forecast the Fourth Global Wave of Cumulative Deaths from COVID-19: Evidence from 12 Hard-Hit Big Countries," Econometrics, MDPI, vol. 10(2), pages 1-23, April.
    49. Barbara Będowska-Sójka & Agata Kliber & Laivi Laidroo, 2023. "Has the pandemic changed the relationships between fintechs and banks?," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(4), pages 15-33.
    50. Jinan Liu & Apostolos Serletis, 2023. "Volatility and dependence in energy markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 15-37, March.
    51. Baek, Jungho & Koo, Won W., 2006. "Price Dynamics in the North American Wheat Market," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(2), pages 1-11, October.
    52. Chebbi, Houssem Eddine & Lachaal, Lassaad, 2007. "Agricultural sector and economic growth in Tunisia: Evidence from co-integration and error correction mechanism," MPRA Paper 9101, University Library of Munich, Germany.
    53. Craighead, William D. & Tien, Pao-Lin, 2015. "Nominal shocks and real exchange rates: Evidence from two centuries," Journal of International Money and Finance, Elsevier, vol. 56(C), pages 135-157.
    54. Jiranyakul, Komain, 2016. "The response of industrial production to the price of oil: new evidence for Thailand," MPRA Paper 70457, University Library of Munich, Germany.
    55. Jomana Amara, 2011. "Testing for stationarity using covariates: an application to purchasing power parity," Applied Economics Letters, Taylor & Francis Journals, vol. 18(13), pages 1295-1301.
    56. Schulz, Rainer & Werwatz, Axel, 2011. "Is there an equilibrating relationship between house prices and replacement cost? Empirical evidence from Berlin," Journal of Urban Economics, Elsevier, vol. 69(3), pages 288-302, May.
    57. Aurélie Lalanne & Martin Zumpe, 2015. "Zipf's law, Gibrat's law and Cointegration," Post-Print hal-02479896, HAL.
    58. Antonia López Villavicencio & Josep Lluís Raymond Bara, 2006. "The short and long-run determinants of the real exchange rate in Mexico," Working Papers wpdea0606, Department of Applied Economics at Universitat Autonoma of Barcelona.
    59. Manuel BENAZIĆ & Daniel TOMIĆ, 2020. "Macroeconomic dynamics in China, Laos and Vietnam: a VAR analysis," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 11, pages 203-228, December.
    60. Fredj Jawadi & Georges Prat, 2012. "Arbitrage costs and nonlinear adjustment in the G7 stock markets," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1561-1582, April.
    61. Raphaël Chiappini & Dominique Torre & Elise Tosi, 2019. "Romania's Unsustainable Stabilization: 1929-1933," GREDEG Working Papers 2019-43, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    62. Haoyuan Ding & Yuying Jin & Cong Qin & Jiezhou Ying, 2020. "Tail Causality between Crude Oil Price and RMB Exchange Rate," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(3), pages 116-134, May.
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    64. Juha Junttila, 2007. "Forecasting the macroeconomy with contemporaneous financial market information: Europe and the United States," Review of Financial Economics, John Wiley & Sons, vol. 16(2), pages 149-175.
    65. Ma, Yue & Kanas, Angelos, 2000. "Testing for nonlinear Granger causality from fundamentals to exchange rates in the ERM," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(1), pages 69-82, January.
    66. Chien-Chiang Lee & Chun-Ping Chang, 2006. "The Long-Run Relationship Between Defence Expenditures And Gdp In Taiwan," Defence and Peace Economics, Taylor & Francis Journals, vol. 17(4), pages 361-385.
    67. Ketenci, Natalya & Uz, Idil, 2010. "Trade in services: The elasticity approach for the case of Turkey," MPRA Paper 86596, University Library of Munich, Germany.
    68. D. (Derek) Bond & Michael J. Harrison & Edward J. (Edward Joseph) O'Brien, 2009. "Exploring long memory and nonlinearity in Irish real exchange Rates using tests based on semiparametric estimation," Working Papers 200901, School of Economics, University College Dublin.
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    70. Humanicki, Marcin & Kelm, Robert & Olszewski, Krzysztof, 2013. "Foreign Direct Investment and Foreign Portfolio Investment in the contemporary globalized world: should they be still treated separately?," MPRA Paper 58410, University Library of Munich, Germany, revised Sep 2014.
    71. Guili Liao & Qimeng Liu & Rongmao Zhang & Shifang Zhang, 2022. "Rank test of unit‐root hypothesis with AR‐GARCH errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 695-719, September.
    72. Tsui, Wai Hong Kan & Ozer Balli, Hatice & Gilbey, Andrew & Gow, Hamish, 2014. "Forecasting of Hong Kong airport's passenger throughput," Tourism Management, Elsevier, vol. 42(C), pages 62-76.
    73. Josep Lluís CARRION-I-SILVESTRE & Mariam CAMARERO & Josep LLUÍS CARRION-I-SILVESTRE & Cecilio TAMARIT, 2010. "External Imbalances in a Monetary Union. Does the Lawson Doctrine Apply to Europe?," EcoMod2010 259600036, EcoMod.
    74. Saaed, A.A.J., 2007. "Inflation and Economic Growth in Kuwait: 1985-2005. Evidence from Co-Integration and Error Correction Model," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(1).
    75. Emmanuel Anoruo & Luis Alberiko Gil-Alaña, 2010. "Mean reversion and long memory in African stock market prices," NCID Working Papers 01/2011, Navarra Center for International Development, University of Navarra.
    76. Algieri, Bernardina, 2013. "An empirical analysis of the nexus between external balance and government budget balance: The case of the GIIPS countries," Economic Systems, Elsevier, vol. 37(2), pages 233-253.
    77. Fernando F. Ferreira & A. Christian Silva & Ju-Yi Yen, 2019. "Detailed study of a moving average trading rule," Papers 1907.00212, arXiv.org.
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    3054. Barbara Pistoresi, 2013. "Italy's current account sustainability:a long run perspective, 1861-2000," Center for Economic Research (RECent) 092, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
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    3088. Azar, Samih Antoine, 2010. "Testing the Expectations Hypothesis on Corporate Bond Yields," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 6(1-2), pages 1-11, April.
    3089. Nusrat Farzana & Md Qamruzzaman & Yeasmin Islam & Piana Monsur Mindia, 2023. "Nexus between Personal Remittances, Financial Deepening, Urbanization, and Renewable Energy Consumption in Selected Southeast Asian Countries: Evidence from Linear and Nonlinear Assessment," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 270-287, November.
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    3111. Peter Dreuw, 2023. "Structural time series models and synthetic controls—assessing the impact of the euro adoption," Empirical Economics, Springer, vol. 64(2), pages 681-725, February.
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    3120. Ahmed, Walid M.A., 2011. "Comovements and Causality of Sector Price Indices: Evidence from the Egyptian Stock Exchange," MPRA Paper 28127, University Library of Munich, Germany.
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    3535. Trabelsi, Nader & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2022. "Spillovers and directional predictability between international energy commodities and their implications for optimal portfolio and hedging," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
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    1. Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
    2. Denis Kwiatkowski & Peter C.B. Phillips & Peter Schmidt, 1991. "Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?," Cowles Foundation Discussion Papers 979, Cowles Foundation for Research in Economics, Yale University.
    3. Philippe Gudin & Antoine Magnier & Nicolas Ponty, 1991. "Taux d'intérêt : une asymétrie moins forte," Économie et Statistique, Programme National Persée, vol. 246(1), pages 55-63.
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    5. Changli He & Rickard Sandberg, 2006. "Dickey–Fuller Type of Tests against Nonlinear Dynamic Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 835-861, December.
    6. Pena-Levano, Luis M & Foster, Kenneth, 2016. "Efficiency gains in commodity forecasting using disaggregated levels versus more aggregated predictions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235792, Agricultural and Applied Economics Association.
    7. Ben Salem, Melika & Jacques, Jean-Francois, 1999. "Contribution of aggregate and sectoral shocks to the dynamics of inventories:: An empirical study with French and American data," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 33-42, March.
    8. Payne, James E. & Vizek, Maruška & Lee, Junsoo, 2017. "Is there convergence in per capita renewable energy consumption across U.S. States? Evidence from LM and RALS-LM unit root tests with breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 715-728.
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    10. Peter C.B. Phillips, 1991. "Unit Roots," Cowles Foundation Discussion Papers 998, Cowles Foundation for Research in Economics, Yale University.
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    13. Noriega-Muro, Antonio, 1995. "Asymptotic theory of statistics form unit root test regressions when the alternative is a breaking-trend-stationary model," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 10(1), pages 29-65.
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  23. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1989. "Production Frontiers With Cross-Sectinal And Time-Series Variation In Efficiency Levels," Working Papers 89-18, C.V. Starr Center for Applied Economics, New York University.

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    3. Seufert, Juergen Heinz & Arjomandi, Amir & Dakpo, K. Hervé, 2017. "Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 52-68.
    4. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-25, April.
    5. Coelli, T. J., 1995. "Recent Developments in Frontier Modelling and Efficiency Measurement," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 148798, Australian Agricultural and Resource Economics Society.
    6. Dong-hyun Oh & Almas Heshmati & Hans Loof, 2009. "Technical Change and Total Factor Productivity Growth for Swedish Manufacturing and Service Industries," TEMEP Discussion Papers 200912, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2009.
    7. Bravo-Ureta, Boris E. & Pinheiro, Antonio E., 1993. "Efficiency Analysis Of Developing Country Agriculture: A Review Of The Frontier Function Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(1), pages 1-14, April.
    8. Grether, Jean-Marie, 1999. "Determinants of Technological Diffusion in Mexican Manufacturing: A Plant-Level Analysis," World Development, Elsevier, vol. 27(7), pages 1287-1298, July.
    9. Tybout, James R. & Westbrook, M. Daniel, 1995. "Trade liberalization and the dimensions of efficiency change in Mexican manufacturing industries," Journal of International Economics, Elsevier, vol. 39(1-2), pages 53-78, August.
    10. Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
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    12. Kuzyaeva Anastasia & Didenko Alexander, 2014. "Productivity spillovers in the Russian Federation: the case of the chemical market," Review of Business and Economics Studies, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 3, pages 55-74.
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    14. Ismail, Noor Azina & Jenatabadi, Hashem Salarzadeh, 2014. "The influence of firm age on the relationships of airline performance, economic situation and internal operation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 212-224.
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    19. Ila Alam & Robin Sickles, 1998. "The Relationship Between Stock Market Returns and Technical Efficiency Innovations: Evidence from the US Airline Industry," Journal of Productivity Analysis, Springer, vol. 9(1), pages 35-51, January.
    20. Fabio Pieri & Enrico Zaninotto, 2010. "The Impact of Vertical Integration and Outsourcing on Firm Efficiency: Evidence from the Italian Machine Tool Industry," DISA Working Papers 1001, Department of Computer and Management Sciences, University of Trento, Italy, revised 11 Mar 2010.
    21. Kano, Shigeki & Ohta, Makoto, 2005. "Estimating a matching function and regional matching efficiencies: Japanese panel data for 1973-1999," Japan and the World Economy, Elsevier, vol. 17(1), pages 25-41, January.
    22. Yélou, Clément & Larue, Bruno & Tran, Kien C., 2010. "Threshold effects in panel data stochastic frontier models of dairy production in Canada," Economic Modelling, Elsevier, vol. 27(3), pages 641-647, May.
    23. Lambarraa, Fatima & Stefanou, Spiro E. & Gil, Jose Maria, 2009. "The analysis of irreversibility, uncertainty and dynamic technical inefficiency on the investment decision in Spanish olive sector," 2009 Conference, August 16-22, 2009, Beijing, China 51397, International Association of Agricultural Economists.
    24. Aditi Bhattacharyya, 2012. "Adjustment of inputs and measurement of technical efficiency: A dynamic panel data analysis of the Egyptian manufacturing sectors," Empirical Economics, Springer, vol. 42(3), pages 863-880, June.
    25. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2016. "The Spatial Efficiency Multiplier and Random Effects in Spatial Stochastic Frontier Models," Working Papers 16-002, Rice University, Department of Economics.
    26. Stephen M. Miller & Terrence M. Clauretie & Thomas M. Springer, 2005. "Economies of Scale and Cost Efficiencies: A Panel-Data Stochastic-Frontier Analysis of Real Estate Investment Trusts," Working papers 2005-21, University of Connecticut, Department of Economics.
    27. Boto-Garcia, David & Leoni, Veronica, 2022. "Estimating the dynamic effects of volcano eruptions on domestic tourism: Evidence based on mobile-phone geo-positioning records," Efficiency Series Papers 2022/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
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    5. Doug Hostland, 1995. "CHANGES IN THE INFLATION PROCESS IN CANADA: Evidence and Implications," Macroeconomics 9508001, University Library of Munich, Germany.
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    7. Anderson, Richard G. & Hoffman, Dennis L. & Rasche, Robert H., 2002. "Reply to the comments on 'A vector error-correction forecasting model of the U.S. economy'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 613-614, December.
    8. Haldrup, Niels & Hylleberg, Svend, 1995. "A note on the distribution of the least squares estimator of a random walk with drift: Some analytical evidence," Economics Letters, Elsevier, vol. 48(3-4), pages 221-228, June.

  25. Peter Schmidt & Ann Dryden Witte, 1987. "Predicting Criminal Recidivism Using "Split Population" Survival Time Models," NBER Working Papers 2445, National Bureau of Economic Research, Inc.

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    2. DeYoung, Robert, 2003. "The failure of new entrants in commercial banking markets: a split-population duration analysis," Review of Financial Economics, Elsevier, vol. 12(1), pages 7-33.
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      • Asger L. Andersen & David Dreyer Lassen & Lasse Holbøll Westh Nielsen, 2010. "Late Budgets," EPRU Working Paper Series 2010-04, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
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    5. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
    6. Garczorz, Ingo, 2001. "Anwendung der Hazard-Analyse im Marketing: Einführung und Literaturüberblick," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 548, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    7. Martin Gonzalez-Rozada & Giselle Montamat, 2019. "How Raising Tobacco Prices Affects the Decision to Start and Quit Smoking: Evidence from Argentina," IJERPH, MDPI, vol. 16(19), pages 1-11, September.
    8. Girish Mallapragada & Rajdeep Grewal & Gary Lilien, 2012. "User-Generated Open Source Products: Founder's Social Capital and Time to Product Release," Marketing Science, INFORMS, vol. 31(3), pages 474-492, May.
    9. Benjamin Monnery, 2013. "The determinants of recidivism among ex-prisoners: a survival analysis on French data," Working Papers 1320, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    10. Marco Manacorda & Furio Camillo Rosati & Marco Ranzani & Giuseppe Dachille, 2017. "Pathways from school to work in the developing world," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-40, December.
    11. Sirchenko Andrei, 2012. "A model for ordinal responses with an application to policy interest rate," EERC Working Paper Series 12/13e, EERC Research Network, Russia and CIS.
    12. E. Lázaro & C. Armero & V. Gómez-Rubio, 2020. "Approximate Bayesian inference for mixture cure models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 750-767, September.
    13. Christopher J. W. Zorn, 1998. "An Analytic and Empirical Examination of Zero-Inflated and Hurdle Poisson Specifications," Sociological Methods & Research, , vol. 26(3), pages 368-400, February.
    14. Jurajda, Stepan, 2002. "Estimating the effect of unemployment insurance compensation on the labor market histories of displaced workers," Journal of Econometrics, Elsevier, vol. 108(2), pages 227-252, June.
    15. Rolando de la Cruz & Oslando Padilla & Mauricio A. Valle & Gonzalo A. Ruz, 2021. "Modeling Recidivism through Bayesian Regression Models and Deep Neural Networks," Mathematics, MDPI, vol. 9(6), pages 1-14, March.
    16. Kelvin K. F. Law & Lillian F. Mills, 2019. "Financial Gatekeepers and Investor Protection: Evidence from Criminal Background Checks," Journal of Accounting Research, Wiley Blackwell, vol. 57(2), pages 491-543, May.
    17. Demoulin, Nathalie T.M. & Zidda, Pietro, 2009. "Drivers of Customers’ Adoption and Adoption Timing of a New Loyalty Card in the Grocery Retail Market," Journal of Retailing, Elsevier, vol. 85(3), pages 391-405.
    18. Ida, Takanori & Goto, Rei & Takahashi, Yuko & Nishimura, Shuzo, 2011. "Can economic-psychological parameters predict successful smoking cessation?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(3), pages 285-295, May.
    19. Caroline Krafft, 2016. "Why is Fertility on the Rise in Egypt? The Role of Women’s Employment Opportunities," Working Papers 1050, Economic Research Forum, revised 09 Jan 2016.
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    22. Cole, Rebel A. & Gunther, Jeffery W., 1995. "Separating the likelihood and timing of bank failure," Journal of Banking & Finance, Elsevier, vol. 19(6), pages 1073-1089, September.
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Articles

  1. Peter Schmidt, 2011. "One-step and two-step estimation in SFA models," Journal of Productivity Analysis, Springer, vol. 36(2), pages 201-203, October.

    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. Sergio Destefanis & Matteo Fragetta & Nazzareno Ruggiero, 2023. "Active and passive labour-market policies: the outlook from the Beveridge curve," Applied Economics, Taylor & Francis Journals, vol. 55(55), pages 6538-6550, November.
    3. Qushim, Berdikul & Bhandari, Basu & Gillespie, Jeffrey & Scaglia, Guillermo, 2017. "Grass-Fed Beef Enterprise Efficiency Analysis in the U.S," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252735, Southern Agricultural Economics Association.
    4. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    5. Honma, Satoshi & Hu, Jin-Li, 2014. "Panel Data Parametric Frontier Technique for Measuring Total-factor Energy Efficiency: Application to Japanese Regions," MPRA Paper 54304, University Library of Munich, Germany.
    6. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    7. Lukas Kwietniewski & Jonas Schreyögg, 2018. "Efficiency of physician specialist groups," Health Care Management Science, Springer, vol. 21(3), pages 409-425, September.
    8. Ivonne Lindlbauer & Jonas Schreyögg, 2014. "The relationship between hospital specialization and hospital efficiency: do different measures of specialization lead to different results?," Health Care Management Science, Springer, vol. 17(4), pages 365-378, December.
    9. Ajuruchukwu Obi & Balogun Taofeek Ayodeji, 2020. "Determinants of Economic Farm-Size–Efficiency Relationship in Smallholder Maize Farms in the Eastern Cape Province of South Africa," Agriculture, MDPI, vol. 10(4), pages 1-18, April.
    10. Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    11. Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2013. "Profit efficiency of U.S. commercial banks: a decomposition," Documentos de Trabajo de Valor Público 10939, Universidad EAFIT.
    12. Mareike Heimeshoff & Jonas Schreyögg & Lukas Kwietniewski, 2014. "Cost and technical efficiency of physician practices: a stochastic frontier approach using panel data," Health Care Management Science, Springer, vol. 17(2), pages 150-161, June.
    13. Cuccia, Tiziana & Guccio, Calogero & Rizzo, Ilde, 2016. "The effects of UNESCO World Heritage List inscription on tourism destinations performance in Italian regions," Economic Modelling, Elsevier, vol. 53(C), pages 494-508.
    14. Tadesse Getacher Engida & Christopher F. Parmeter & Xudong Rao & Alfons G.J.M. Oude Lansink, 2022. "Investment Inefficiency and Corporate Social Responsibility," Journal of Productivity Analysis, Springer, vol. 58(1), pages 95-108, August.
    15. Bannor, Frank & Dikgang, Johane & Gelo, Dambala, 2021. "Agricultural total factor productivity growth, technical efficiency, and climate variability in sub-Saharan Africa," EconStor Preprints 231310, ZBW - Leibniz Information Centre for Economics.
    16. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    17. Al-Azzam, Moh'd & Mimouni, Karim & Smaoui, Houcem & Temimi, Akram, 2022. "Subsidies vs. deposits and cost inefficiency in microfinance," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 212-235.
    18. López-Torres, Laura & Nicolini, Rosella & Prior, Diego, 2017. "Does strategic interaction affect demand for school places? A conditional efficiency approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 89-103.
    19. B. Qushim & J. Gillespie & K. Paudel & K. Mcmillin, 2016. "Technical and scale efficiencies of meat goat farms in the USA," Applied Economics, Taylor & Francis Journals, vol. 48(7), pages 608-620, February.
    20. Mirza, Faisal Mehmood & Rizvi, Syed Badar-Ul-Husnain & Bergland, Olvar, 2021. "Service quality, technical efficiency and total factor productivity growth in Pakistan's post-reform electricity distribution companies," Utilities Policy, Elsevier, vol. 68(C).
    21. Steffen, Christoph & Yu, Xiaohua, 2018. "Transaction Costs and Food Prices in Rural Kenya," Department of Agricultural and Rural Development (DARE) Discussion Papers 274537, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    22. Varabyova, Yauheniya & Müller, Julia-Maria, 2016. "The efficiency of health care production in OECD countries: A systematic review and meta-analysis of cross-country comparisons," Health Policy, Elsevier, vol. 120(3), pages 252-263.
    23. Kluge, Jan & Lappoehn, Sarah & Plank, Kerstin, 2020. "The Determinants of Economic Competitiveness," IHS Working Paper Series 24, Institute for Advanced Studies.
    24. Heshmati, Almas & C. Kumbhakar, Subal & Kim, Jungsuk, 2016. "Persistent and Transient Efficiency of International Airlines," Working Paper Series in Economics and Institutions of Innovation 444, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.

  2. Wei Wang & Christine Amsler & Peter Schmidt, 2011. "Goodness of fit tests in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 95-118, April.

    Cited by:

    1. Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2019. "Evaluating the CDF of the distribution of the stochastic frontier composed error," Journal of Productivity Analysis, Springer, vol. 52(1), pages 29-35, December.
    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. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    4. Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.
    5. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    6. Xu Guo & Gao-Rong Li & Michael McAleer & Wing-Keung Wong, 2017. "Specification Testing of Production in a Stochastic Frontier Model," Tinbergen Institute Discussion Papers 17-097/III, Tinbergen Institute.
    7. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2021. "Density deconvolution with Laplace errors and unknown variance," Journal of Productivity Analysis, Springer, vol. 56(2), pages 103-113, December.
    8. William Horrace & Christopher Parmeter, 2011. "Semiparametric deconvolution with unknown error variance," Journal of Productivity Analysis, Springer, vol. 35(2), pages 129-141, April.
    9. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
    10. Simos G. Meintanis & Christos K. Papadimitriou, 2022. "Goodness--of--fit tests for stochastic frontier models based on the characteristic function," Journal of Productivity Analysis, Springer, vol. 57(3), pages 285-296, June.
    11. Aljar Meesters, 2014. "A note on the assumed distributions in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(2), pages 171-173, October.
    12. Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.
    13. Alecos Papadopoulos, 2023. "The noise error component in stochastic frontier analysis," Empirical Economics, Springer, vol. 64(6), pages 2795-2829, June.
    14. María Concepción Pérez-Cárceles & Juan Cándido Gómez-Gallego & Juan Gómez-García, 2016. "Distribution of cost inefficiency in stochastic frontier approach: evidence from Spanish banking," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(16), pages 3030-3041, December.
    15. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.

  3. Panutat Satchachai & Peter Schmidt, 2010. "Estimates of technical inefficiency in stochastic frontier models with panel data: generalized panel jackknife estimation," Journal of Productivity Analysis, Springer, vol. 34(2), pages 83-97, October.

    Cited by:

    1. Daniel Wikström, 2015. "A finite sample improvement of the fixed effects estimator applied to technical inefficiency," Journal of Productivity Analysis, Springer, vol. 43(1), pages 29-46, February.
    2. Feng, Qu & Horrace, William C., 2012. "Estimating technical efficiency in micro panels," Economics Letters, Elsevier, vol. 117(3), pages 730-733.
    3. Daniel Wikström, 2016. "Modified fixed effects estimation of technical inefficiency," Journal of Productivity Analysis, Springer, vol. 46(1), pages 83-86, August.

  4. Amsler Christine & Schmidt Peter & Vogelsang Timothy J, 2009. "The KPSS Test Using Fixed-b Critical Values: Size and Power in Highly Autocorrelated Time Series," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-44, December.

    Cited by:

    1. Peter Reinhard Hansen & Zhuo Huang, 2012. "Exponential GARCH Modeling with Realized Measures of Volatility," CREATES Research Papers 2012-44, Department of Economics and Business Economics, Aarhus University.
    2. Amsler Christine & Schmidt Peter, 2012. "A Comparison of the Robustness of Several Tests of Short Memory to Autocorrelated Errors," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 56-66, August.
    3. Badi H. Baltagi & Chihwa Kao & Long Liu, 2015. "Estimation and Identification of Change Points in Panel Models with Nonstationary or Stationary Regressors and Error Term," Center for Policy Research Working Papers 178, Center for Policy Research, Maxwell School, Syracuse University.
    4. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    5. Cho, Cheol-Keun & Amsler, Christine & Schmidt, Peter, 2015. "A test of the null of integer integration against the alternative of fractional integration," Journal of Econometrics, Elsevier, vol. 187(1), pages 217-237.
    6. Su, Jen-Je & Amsler, Christine & Schmidt, Peter, 2012. "A note on the size of the KPSS unit root test," Economics Letters, Elsevier, vol. 117(3), pages 697-699.
    7. Manuel Landajo & María José Presno, 2010. "Stationarity testing under nonlinear models. Some asymptotic results," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 392-405, September.

  5. 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.
  6. 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.
  7. Wang, Wei Siang & Schmidt, Peter, 2009. "On the distribution of estimated technical efficiency in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 148(1), pages 36-45, January.
    See citations under working paper version above.
  8. Kim, Myungsup & Schmidt, Peter, 2008. "Valid tests of whether technical inefficiency depends on firm characteristics," Journal of Econometrics, Elsevier, vol. 144(2), pages 409-427, June.

    Cited by:

    1. Parmeter, Christopher F. & Simar, Léopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2021. "Inference in the Nonparametric Stochastic Frontier Model," LIDAM Discussion Papers ISBA 2021029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Dominik Schober, 2013. "Refinancing under Yardstick Regulation with Investment Cycles–The Case of Long-Lived Electricity Network Assets," EWL Working Papers 1321, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Jun 2013.
    3. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    4. Schober, Dominik & Weber, Christoph, 2015. "Refinancing under yardstick regulation with investment cycles: The case of long-lived electricity network assets," ZEW Discussion Papers 15-065, ZEW - Leibniz Centre for European Economic Research.
    5. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    6. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
    7. Peter Schmidt, 2011. "One-step and two-step estimation in SFA models," Journal of Productivity Analysis, Springer, vol. 36(2), pages 201-203, October.
    8. Helmut Herwartz & Christoph Strumann, 2012. "On the effect of prospective payment on local hospital competition in Germany," Health Care Management Science, Springer, vol. 15(1), pages 48-62, March.

  9. Im, Kyung So & Schmidt, Peter, 2008. "More efficient estimation under non-normality when higher moments do not depend on the regressors, using residual augmented least squares," Journal of Econometrics, Elsevier, vol. 144(1), pages 219-233, May.

    Cited by:

    1. Yilanci, Veli & Aydin, Mücahit & Aydin, Mehmet, 2019. "Residual Augmented Fourier ADF Unit Root Test," MPRA Paper 96797, University Library of Munich, Germany.
    2. Payne, James E. & Vizek, Maruška & Lee, Junsoo, 2017. "Stochastic convergence in per capita fossil fuel consumption in U.S. states," Energy Economics, Elsevier, vol. 62(C), pages 382-395.
    3. Dong-Yop Oh & Hyejin Lee & Karl David Boulware, 2020. "A comment on interest rate pass-through: a non-normal approach," Empirical Economics, Springer, vol. 59(4), pages 2017-2035, October.
    4. Berhan ÇOBAN & Esin FİRUZAN, 2019. "Convergence and Cointegration Analysis under Structural Breaks: Application of Turkey Tourism Markets," Sosyoekonomi Journal, Sosyoekonomi Society, issue 27(39).
    5. Nazif Durmaz & Hyeongwoo Kim & Hyejin Lee & Yanfei Sun, 2023. "Trend Breaks and the Persistence of Closed-End Mutual Fund Discounts," Auburn Economics Working Paper Series auwp2023-03, Department of Economics, Auburn University.
    6. Payne, James E. & Vizek, Maruška & Lee, Junsoo, 2017. "Is there convergence in per capita renewable energy consumption across U.S. States? Evidence from LM and RALS-LM unit root tests with breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 715-728.
    7. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "Cointegration of the prices of gold and silver: RALS-based evidence," Finance Research Letters, Elsevier, vol. 15(C), pages 133-137.
    8. Ming Meng & Mark C. Strazicich & Junsoo Lee, 2017. "Hysteresis in unemployment? Evidence from linear and nonlinear unit root tests and tests with non-normal errors," Empirical Economics, Springer, vol. 53(4), pages 1399-1414, December.
    9. Rath, Badri Narayan & Akram, Vaseem, 2019. "A reassessment of total factor productivity convergence: Evidence from cross-country analysis," Economic Modelling, Elsevier, vol. 82(C), pages 87-98.
    10. Firat Emir & Selin Karlilar, 2023. "Application of RALS cointegration test assessing the role of natural resources and hydropower energy on ecological footprint in emerging economy," Energy & Environment, , vol. 34(4), pages 764-779, June.
    11. Mehmet Aydın & Yunus Emre Turan, 2020. "Türkiye’de Ekonomik Güven Büyümeyi Etkiliyor mu? RALS Birim Kök ve Eşbütünleşme Yaklaşımı," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(32), pages 69-83, June.
    12. Akram, Vaseem & Rath, Badri Narayan & Sahoo, Pradipta Kumar, 2020. "Stochastic conditional convergence in per capita energy consumption in India," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 224-240.
    13. Kamil Sertoglu & Lucy Davou Philip & F rat Emir, 2021. "Assessing the Role of Agriculture and Energy Use on Environmental Sustainability: Evidence from RALS Cointegration Technique," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 50-59.
    14. Demetrescu, Matei & Rodrigues, Paulo M.M., 2022. "Residual-augmented IVX predictive regression," Journal of Econometrics, Elsevier, vol. 227(2), pages 429-460.
    15. Veli Yilanci & Recep Ulucak & Yaoqi Zhang & Valeria Andreoni, 2023. "The role of affluence, urbanization, and human capital for sustainable forest management in China: Robust findings from a new method of Fourier cointegration," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 812-824, April.
    16. Gökhan Konat & Fatma Zeren, 2021. "Is Real Gross Domestic Product (GDP) Series Stationary in EU Countries? Evidence from the RALS-CIPS Test," Economics Bulletin, AccessEcon, vol. 41(3), pages 1813-1825.
    17. Mehmet Altuntaş & Emre Kılıç & Şevket Pazarcı & Alican Umut, 2022. "Borsa İstanbul Alt Endekslerinde Etkin Piyasa Hipotezinin Test Edilmesi: Fourier Kırılmalı ve Doğrusal Olmayan Birim Kök Testlerinden Kanıtlar," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 7(1), pages 169-185.
    18. Lee Hyejin & Lee Junsoo & Im Kyungso, 2015. "More powerful cointegration tests with non-normal errors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(4), pages 397-413, September.
    19. Bulat Gafarov, 2023. "Generalized Automatic Least Squares: Efficiency Gains from Misspecified Heteroscedasticity Models," Papers 2304.07331, arXiv.org.
    20. Nazif Durmaz & Hyeongwoo Kim & Hyejin Lee & Yanfei Sun, 2023. "Trend Breaks and the Persistence of Closed-End Fund Discounts," Auburn Economics Working Paper Series auwp2023-08, Department of Economics, Auburn University.
    21. Catherine Araujo Bonjean & Catherine Simonet, 2016. "Are grain markets in Niger driven by speculation?," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 714-735.
    22. Mishra, Vinod & Smyth, Russell, 2017. "Conditional convergence in Australia's energy consumption at the sector level," Energy Economics, Elsevier, vol. 62(C), pages 396-403.
    23. Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Transformed regression-based long-horizon predictability tests," Journal of Econometrics, Elsevier, vol. 237(2).
    24. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris, 2020. "Stochastic convergence in per capita CO2 emissions: Evidence from emerging economies, 1921–2014," Energy Economics, Elsevier, vol. 86(C).
    25. Lau, Chi Keung & Pal, Shreya & Mahalik, Mantu Kumar & Gozgor, Giray, 2022. "Economic globalization convergence in high and low globalized developing economies: Implications for the post Covid-19 era," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 1027-1039.
    26. Lei Pan & Svetlana Maslyuk-Escobedo, 2019. "Stochastic convergence in per capita energy consumption and its catch-up rate: evidence from 26 African countries," Applied Economics, Taylor & Francis Journals, vol. 51(24), pages 2566-2590, May.
    27. Andrea J. Heuson & Mark C. Hutchinson & Alok Kumar, 2020. "Predicting hedge fund performance when fund returns are skewed," Financial Management, Financial Management Association International, vol. 49(4), pages 877-896, December.
    28. Dong-Yop Oh & Hyejin Lee & Karl David Boulware, 2016. "Conventional monetary policy and the degree of interest rate pass through in the long run: a non-normal approach," Wesleyan Economics Working Papers 2016-002, Wesleyan University, Department of Economics.
    29. Veli YILANCI & Esra CANPOLAT-GÖKÇE, 2020. "Testing the Convergence Hypothesis for OECD Countries: RALS Panel Fourier SURADF Unit Root Test," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(44).
    30. Zhang, Yixiang & Fu, Bowen, 2023. "Social trust contributes to the reduction of urban carbon dioxide emissions," Energy, Elsevier, vol. 279(C).
    31. Kris Ivanovski & Sefa Awaworyi Churchill & John Inekwe, 2020. "Convergence in Income Inequality Across Australian States and Territories," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 127-142, February.
    32. Meng Ming & Lee Junsoo & Payne James E., 2017. "RALS-LM unit root test with trend breaks and non-normal errors: application to the Prebisch-Singer hypothesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 31-45, February.
    33. Abdulmecit YILDIRIM & Gökhan KONAT, 2023. "Exploring the Relationship Between Oil Prices and Economic Growth in Türkiye," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 7(2), pages 103-117, December.
    34. Ilhan KUCUKKAPLAN & Emre KILIC & Sevket PAZARCI & Asım KAR, 2023. "Testing the Efficient Market Hypothesis in G8 Countries: New evidence from Unit Root Tests with Fourier Shifts," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(1), pages 1-18, January.
    35. James E. Payne & Stephanie Miller & Junsoo Lee & Myeong Hyeon Cho, 2014. "Convergence of per capita sulphur dioxide emissions across US states," Applied Economics, Taylor & Francis Journals, vol. 46(11), pages 1202-1211, April.
    36. Tran, Thi Bich Ngoc, 2017. "Speculative bubbles in emerging stock markets and macroeconomic factors: A new empirical evidence for Asia and Latin America," Research in International Business and Finance, Elsevier, vol. 42(C), pages 454-467.
    37. Laurent Bodson & Alain Coën & Georges Hübner, 2010. "Dynamic Hedge Fund Style Analysis With Errors‐In‐Variables," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(3), pages 201-221, September.

  10. Satchachai, Panutat & Schmidt, Peter, 2008. "GMM with more moment conditions than observations," Economics Letters, Elsevier, vol. 99(2), pages 252-255, May.

    Cited by:

    1. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    2. Seung C. Ahn & Young H. Lee & Peter Schmidt, 2007. "Panel Data Models with Multiple Time-Varying Individual Effects," Working Papers 0702, University of Crete, Department of Economics.

  11. Kim, Yangseon & Schmidt, Peter, 2008. "Marginal Comparisons With the Best and the Efficiency Measurement Problem," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 253-260, April.
    See citations under working paper version above.
  12. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.

    Cited by:

    1. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.
    2. Young H. Lee, 2014. "Stochastic Frontier Models Using GAUSS," Working Papers 1403, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    4. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    5. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    6. Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
    7. Seung C. Ahn & Young H. Lee & Peter Schmidt, 2007. "Panel Data Models with Multiple Time-Varying Individual Effects," Working Papers 0702, University of Crete, Department of Economics.
    8. Young Hoon Lee, 2010. "The Effects of Management Practices on Productivity: Evidence from Baseball Team Production," Working Papers 1005, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2010.
    9. Hsu, Chih-Chiang & Lin, Chang-Ching & Yin, Shou-Yung, 2012. "Estimation of a panel stochastic frontier model with unobserved common shocks," MPRA Paper 37313, University Library of Munich, Germany.
    10. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    11. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    12. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2011. "TIs Globalization Driving Efficiency? A Threshold Stochastic Frontier Panel Data Modelling Approach," SERIES 0040, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Oct 2011.
    13. Bernd Frick & Young Lee, 2011. "Temporal variations in technical efficiency: evidence from German soccer," Journal of Productivity Analysis, Springer, vol. 35(1), pages 15-24, February.
    14. Lin, Winston T. & Chen, Yueh H. & Chou, Chia-Ching, 2021. "Assessing the business values of e-commerce and information technology separately and jointly and their impacts upon US firms' performance as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 241(C).
    15. Ahn, Seung C. & Perez, M. Fabricio, 2010. "GMM estimation of the number of latent factors: With application to international stock markets," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 783-802, September.
    16. Sakano, Ryoichi & Obeng, Kofi, 2011. "Examining the Inefficiency of Transit Systems Using Latent Class Stochastic Frontier Models," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 50(2).
    17. Perez, Marcos & Ahn, Seung Chan, 2007. "GMM Estimation of the Number of Latent Factors," MPRA Paper 4862, University Library of Munich, Germany.
    18. Almanidis, Pavlos & Karagiannis, Giannis & Sickles, Robin C., 2015. "Semi-nonparametric Spline Modifications to the Cornwell-Schmidt-Sickles Estimator: An Analysis of U.S. Banking Productivity," Working Papers 15-008, Rice University, Department of Economics.
    19. Roman Matkovskyy, 2016. "Arbitrary temporal heterogeneity in time of European countries panel model," Economics Bulletin, AccessEcon, vol. 36(1), pages 576-587.
    20. Mastromarco Camilla & Laura Serlenga & Yongcheol Shin, 2013. "Globalisation and technological convergence in the EU," Journal of Productivity Analysis, Springer, vol. 40(1), pages 15-29, August.
    21. Grigorios Emvalomatis, 2012. "Adjustment and unobserved heterogeneity in dynamic stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 37(1), pages 7-16, February.
    22. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    23. Chen, Yueh H. & Lin, Winston T., 2009. "Analyzing the relationships between information technology, inputs substitution and national characteristics based on CES stochastic frontier production models," International Journal of Production Economics, Elsevier, vol. 120(2), pages 552-569, August.
    24. Roman Matkovskyy, 2016. "A comparison of pre- and post-crisis efficiency of OECD countries: evidence from a model with temporal heterogeneity in time and unobservable individual effect," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 13(2), pages 135-167, December.
    25. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2015. "In search of robust methods for dynamic panel data models in empirical corporate finance," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 84-98.
    26. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.

  13. de Jong, Robert M. & Amsler, Christine & Schmidt, Peter, 2007. "A robust version of the KPSS test based on indicators," Journal of Econometrics, Elsevier, vol. 137(2), pages 311-333, April.

    Cited by:

    1. Joseph Ross, 2021. "Stationarity Statistics on Rolling Windows," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 655-691, February.
    2. Jiang, Bibo & Lu, Ye & Park, Joon Y., 2018. "Testing for Stationarity at High Frequency," Working Papers 2018-09, University of Sydney, School of Economics.
    3. Simões, Oscar R. & Marçal, Emerson Fernandes, 2012. "Agregação temporal e não-linearidade afetam os testes da paridade do poder de compra: Evidência a partir de dados brasileiros," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(3), October.
    4. Aviral Kumar Tiwari & Aruna Kumar Dash & Subhendu Dutta, 2015. "Testing the mean reversion in prices of agricultural commodities in India," Economics Bulletin, AccessEcon, vol. 35(3), pages 1928-1940.
    5. Pelagatti, Matteo M. & Sen, Pranab K., 2013. "Rank tests for short memory stationarity," Journal of Econometrics, Elsevier, vol. 172(1), pages 90-105.
    6. Matteo Pelagatti & Bruno Bosco & Lucia Parisio & Fabio Baldi, 2007. "A Robust Multivariate Long Run Analysis of European Electricity Prices," Working Papers 2007.103, Fondazione Eni Enrico Mattei.
    7. Victor F. Moutinho & António C. Moreira & João Paulo C. Bento, 2018. "Strategic decisions on bilateral bidding behavior: evidence from a wholesale electricity market," Empirical Economics, Springer, vol. 54(3), pages 1353-1387, May.
    8. Qin, Ruibing & Tian, Zheng & Jin, Hao & Zhang, Xiaowei, 2010. "Strong convergence rate of robust estimator of change point," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(10), pages 2026-2032.
    9. Claudiu Tiberiu Albulescu, 2022. "Health Care Expenditure in the European Union Countries: New Insights about the Convergence Process," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    10. Xiao, Zhijie, 2012. "Robust inference in nonstationary time series models," Journal of Econometrics, Elsevier, vol. 169(2), pages 211-223.
    11. Busettti, F. & Harvey, A., 2007. "Tests of time-invariance," Cambridge Working Papers in Economics 0701, Faculty of Economics, University of Cambridge.
    12. Busetti, F. & Harvey, A., 2008. "When is a copula constant? A test for changing relationships," Cambridge Working Papers in Economics 0841, Faculty of Economics, University of Cambridge.
    13. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    14. DeRossi, G. & Harvey, A., 2006. "Time-Varying Quantiles," Cambridge Working Papers in Economics 0649, Faculty of Economics, University of Cambridge.
    15. Cho, Cheol-Keun & Amsler, Christine & Schmidt, Peter, 2015. "A test of the null of integer integration against the alternative of fractional integration," Journal of Econometrics, Elsevier, vol. 187(1), pages 217-237.
    16. Lujia Bai & Weichi Wu, 2021. "Detecting long-range dependence for time-varying linear models," Papers 2110.08089, arXiv.org, revised Mar 2023.
    17. Horváth, Lajos & Kokoszka, Piotr & Rice, Gregory, 2014. "Testing stationarity of functional time series," Journal of Econometrics, Elsevier, vol. 179(1), pages 66-82.
    18. Fabio Busetti & Andrew Harvey, 2010. "Tests of strict stationarity based on quantile indicators," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(6), pages 435-450, November.
    19. James E Payne & Junsoo Lee, 2024. "Global perspective on the permanent or transitory nature of shocks to tourist arrivals: Evidence from new unit root tests with structural breaks and factors," Tourism Economics, , vol. 30(1), pages 67-103, February.

  14. Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the accuracy of bootstrap confidence intervals for efficiency levels in stochastic frontier models with panel data," Journal of Productivity Analysis, Springer, vol. 28(3), pages 165-181, December.
    See citations under working paper version above.
  15. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    See citations under working paper version above.
  16. Antonio Alvarez & Peter Schmidt, 2006. "Is skill more important than luck in explaining fish catches?," Journal of Productivity Analysis, Springer, vol. 26(1), pages 15-25, August.

    Cited by:

    1. Dennis Fixler & Ryan Greenaway-McGrevy, 2012. "Valuation of Near-Market Endogenous Assets," BEA Working Papers 0083, Bureau of Economic Analysis.
    2. Mehdi Farsi, 2008. "The temporal variation of cost-efficiency in Switzerland’s hospitals: an application of mixed models," Journal of Productivity Analysis, Springer, vol. 30(2), pages 155-168, October.
    3. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    4. Ronald Felthoven & William Horrace & Kurt Schnier, 2009. "Estimating heterogeneous capacity and capacity utilization in a multi-species fishery," Journal of Productivity Analysis, Springer, vol. 32(3), pages 173-189, December.
    5. Daniel Solís & Larry Perruso & Julio del Corral & Brent Stoffle & David Letson, 2013. "Measuring the initial economic effects of hurricanes on commercial fish production: the US Gulf of Mexico grouper (Serranidae) fishery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 271-289, March.
    6. Nazneen K. Chowdhury & Tom Kompas & Kaliappa Kalirajan, 2010. "Impact of control measures in fisheries management: evidence from Bangladesh's industrial trawl fishery," Economics Bulletin, AccessEcon, vol. 30(1), pages 765-773.
    7. Stefano Mainardi, 2018. "Fishing vessel efficiency, skipper skills and hake price transmission in a small island economy," Review of Agricultural, Food and Environmental Studies, Springer, vol. 99(3), pages 215-251, December.
    8. Sami Dakhlia & Akbar Marvasti, 2020. "Regulatory Change, Market Structure, and Fatalities: The Case of the Gulf of Mexico Reef Fish Fishery," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(1), pages 1-26, August.
    9. Akbar Marvasti, 2020. "Value Of Life And Injury: Evidence From A U.S. Fishery," Contemporary Economic Policy, Western Economic Association International, vol. 38(4), pages 711-722, October.
    10. Thomas Triebs & Subal C. Kumbhakar, 2012. "Management Practice in Production," ifo Working Paper Series 129, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    11. Juan Agar & William C. Horrace & Christopher F. Parmeter, 2022. "Overcapacity in Gulf of Mexico reef fish IFQ fisheries: 12 years after the adoption of IFQs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 483-506, June.
    12. Solís, Daniel & Agar, Juan J. & del Corral, Julio, 2015. "IFQs and total factor productivity changes: The case of the Gulf of Mexico red snapper fishery," Marine Policy, Elsevier, vol. 62(C), pages 347-357.
    13. Alvarez, Antonio & Couce, Lorena & Trujillo, Lourdes, 2019. "Does Specialization Affect the Efficiency of Small-Scale Fishing Boats?," Efficiency Series Papers 2019/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    14. Solis, Daniel & Agar, Juan & del Corral, Julio, 2015. "The impact of IFQs on the productivity of the US Gulf of Mexico Red Snapper Fishery," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196639, Southern Agricultural Economics Association.
    15. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.
    16. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.

  17. Doran, Howard E. & Schmidt, Peter, 2006. "GMM estimators with improved finite sample properties using principal components of the weighting matrix, with an application to the dynamic panel data model," Journal of Econometrics, Elsevier, vol. 133(1), pages 387-409, July.

    Cited by:

    1. Meng, Ginger & Hu, Gang & Bai, Jushan, 2007. "Olive: a simple method for estimating betas when factors are measured with error," MPRA Paper 33183, University Library of Munich, Germany.
    2. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    3. Antonio Diez de los Rios, 2013. "A New Linear Estimator for Gaussian Dynamic Term Structure Models," Staff Working Papers 13-10, Bank of Canada.
    4. Canarella, Giorgio & Miller, Stephen M., 2018. "The determinants of growth in the U.S. information and communication technology (ICT) industry: A firm-level analysis," Economic Modelling, Elsevier, vol. 70(C), pages 259-271.
    5. Bontempi, Maria Elena & Mammi, Irene, 2012. "A strategy to reduce the count of moment conditions in panel data GMM," MPRA Paper 40720, University Library of Munich, Germany.
    6. Satchachai, Panutat & Schmidt, Peter, 2008. "GMM with more moment conditions than observations," Economics Letters, Elsevier, vol. 99(2), pages 252-255, May.
    7. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    8. Arnab Bhattacharjee & Sean Holly, 2013. "Understanding Interactions in Social Networks and Committees," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 23-53, March.
    9. Hayakawa, Kazuhiko, 2019. "Alternative over-identifying restriction test in the GMM estimation of panel data models," Econometrics and Statistics, Elsevier, vol. 10(C), pages 71-95.
    10. Carrasco, Marine, 2012. "A regularization approach to the many instruments problem," Journal of Econometrics, Elsevier, vol. 170(2), pages 383-398.
    11. Michael Creel & Dennis Kristensen, "undated". "Indirect Likelihood Inference," Working Papers 558, Barcelona School of Economics.
    12. Luis Ayala & Olga Cantó & Juan G. Rodríguez, 2017. "Poverty and the business cycle: A regional panel data analysis for Spain using alternative measures of unemployment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(1), pages 47-73, March.
    13. Alberto HOLLY & Alain MONFORT & Michael ROCKINGER, 2009. "Fourth Order Pseudo Maximum Likelihood Methods," Swiss Finance Institute Research Paper Series 09-23, Swiss Finance Institute.
    14. Malani, Anup & Reif, Julian, 2015. "Interpreting pre-trends as anticipation: Impact on estimated treatment effects from tort reform," Journal of Public Economics, Elsevier, vol. 124(C), pages 1-17.
    15. Luis Ayala & Olga Cantó & Juan G. Rodríguez, 2011. "Poverty and the business cycle: The role of the intra-household distribution of unemployment," Working Papers 222, ECINEQ, Society for the Study of Economic Inequality.
    16. Pierre Chausse & Dinghai Xu, 2012. "GMM Estimation of a Stochastic Volatility Model with Realized Volatility: A Monte Carlo Study," Working Papers 1203, University of Waterloo, Department of Economics, revised May 2012.
    17. Cameron Fen & Samir Undavia, 2022. "Improving Macroeconomic Model Validity and Forecasting Performance with Pooled Country Data using Structural, Reduced Form, and Neural Network Model," Papers 2203.06540, arXiv.org.
    18. Chirok Han & Hyoungjong Kim, 2023. "Dynamic panel GMM estimators with improved finite sample properties using parametric restrictions for dimension reduction," Empirical Economics, Springer, vol. 64(6), pages 2589-2610, June.
    19. Desjardins, Denise & Dionne, Georges & Koné, N’Golo, 2022. "Reinsurance demand and liquidity creation: A search for bicausality," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 137-154.
    20. Rosa M. González-Marrero & Rosa M. Lorenzo-Alegría & Gustavo A. Marrero, 2011. "Gasoline and Diesel Consumption for Road Transport in Spain: a Dynamic Panel Data Approach," Economic Reports 04-2011, FEDEA.
    21. M. E. Bontempi & I. Mammi, 2014. "pca2: implementing a strategy to reduce the instrument count in panel GMM," Working Papers wp960, Dipartimento Scienze Economiche, Universita' di Bologna.
    22. Heitor Almeida & Murillo Campello & Antonio F. Galvao, 2010. "Measurement Errors in Investment Equations," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3279-3328.
    23. De Blander, Rembert, 2020. "Iterative estimation correcting for error auto-correlation in short panels, applied to lagged dependent variable models," Econometrics and Statistics, Elsevier, vol. 15(C), pages 3-29.

  18. Han, Chirok & Orea, Luis & Schmidt, Peter, 2005. "Estimation of a panel data model with parametric temporal variation in individual effects," Journal of Econometrics, Elsevier, vol. 126(2), pages 241-267, June.
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  19. Daniel S. Hamermesh & Peter Schmidt, 2003. "The Determinants of Econometric Society Fellows Elections," Econometrica, Econometric Society, vol. 71(1), pages 399-407, January.

    Cited by:

    1. Niclas Berggren & Henrik Jordahl & Panu Poutvaara, 2007. "The Looks of a Winner: Beauty, Gender, and Electoral Success," CESifo Working Paper Series 2002, CESifo.
    2. Espinosa, Miguel & Rondon, Carlos & Romero, Mauricio, 2012. "The use of mathematics in economics and its effect on a scholar's academic career," MPRA Paper 41341, University Library of Munich, Germany.
    3. Andrew J. Oswald, 2010. "A suggested method for the measurement of world-leading research (illustrated with data on economics)," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 99-113, July.
    4. Axel Dreher & Matthew Gould & Matthew Rablen & James Raymond Vreeland, 2012. "The Determinants of Election to the United Nations Security Council," CESifo Working Paper Series 3902, CESifo.
    5. Hamermesh, Daniel S., 2007. "Replication in Economics," IZA Discussion Papers 2760, Institute of Labor Economics (IZA).
    6. Bagues, Manuel & Perez-Villadoniga, Maria J., 2012. "Do recruiters prefer applicants with similar skills? Evidence from a randomized natural experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 12-20.
    7. Ho Fai Chan & Bruno S. Frey & Jana Gallus & Benno Torgler, 2013. "Does The John Bates Clark Medal Boost Subsequent Productivity And Citation Success?," CREMA Working Paper Series 2013-02, Center for Research in Economics, Management and the Arts (CREMA).
    8. Daniel S. Hamermesh, 2018. "Citations in Economics: Measurement, Uses, and Impacts," Journal of Economic Literature, American Economic Association, vol. 56(1), pages 115-156, March.
    9. Robert Hofmeister & Matthias Krapf, 2011. "How Do Editors Select Papers, and How Good are They at Doing It?," Working Paper Series of the Department of Economics, University of Konstanz 2011-37, Department of Economics, University of Konstanz.
    10. António Osório, 2020. "Performance Evaluation: Subjectivity, Bias and Judgment Style in Sport," Group Decision and Negotiation, Springer, vol. 29(4), pages 655-678, August.
    11. Sandro Mendonça & João Pereira & Manuel Ennes Ferreira, 2018. "Gatekeeping African studies: what does “editormetrics” indicate about journal governance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1513-1534, December.
    12. Stephen Donald & Daniel S. Hamermesh, 2004. "What is Discrimination? Gender in the American Economic Association," NBER Working Papers 10684, National Bureau of Economic Research, Inc.
    13. Coupé, Tom, 2013. "Peer review versus citations – An analysis of best paper prizes," Research Policy, Elsevier, vol. 42(1), pages 295-301.
    14. Oswald, Andrew J., 2009. "World-Leading Research and its Measurement," The Warwick Economics Research Paper Series (TWERPS) 887, University of Warwick, Department of Economics.
    15. Waldinger, Fabian & Hager, Sebastian & Schwarz, Carlo, 2023. "Measuring Science: Performance Metrics and the Allocation of Talent," CEPR Discussion Papers 18248, C.E.P.R. Discussion Papers.
    16. Weilong Bi & Ho Fai Chan & Benno Torgler, 2019. "Self-esteem, self-symbolizing, and academic recognition: behavioral evidence from curricula vitae," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 495-525, April.
    17. Pierre-Philippe Combes & Laurent Linnemer & Michael Visser, 2006. "Publish or peer-rich ? The role of skills and networks in hiring economics professors," Research Unit Working Papers 0604, Laboratoire d'Economie Appliquee, INRA.
    18. Terence tai-leung Chong & Cally Choi & Benjamin Everard, 2009. "Who will win the Nobel Prize?," Economics Bulletin, AccessEcon, vol. 29(2), pages 1107-1116.
    19. Arthur Zillante, 2005. "Reputation Effects in Gold Glove Award Voting," Public Economics 0502003, University Library of Munich, Germany.
    20. Manuel Ennes Ferreira & Sandro Mendonça & João Pereira, 2018. "Gatekeeping African studies: What does “editormetrics” indicate about journal governance?," Working Papers Department of Economics 2018/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    21. Arthur M. Diamond & Robert J. Toth, 2007. "The determinants of election to the Presidency of the American Economic Association: Evidence from a cohort of distinguished 1950’s economists," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(2), pages 131-137, November.
    22. Tolga Yuret, 2022. "Network analysis of econometric society fellows," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7615-7631, December.
    23. Franklin G. Mixon & Benno Torgler & Kamal P. Upadhyaya, 2017. "Scholarly impact and the timing of major awards in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1837-1852, September.
    24. Oswald, Andrew J., 2008. "Can We Test for Bias in Scientific Peer-Review?," IZA Discussion Papers 3665, Institute of Labor Economics (IZA).
    25. Chan, Ho Fai & Frey, Bruno S. & Gallus, Jana & Torgler, Benno, 2014. "Academic honors and performance," Labour Economics, Elsevier, vol. 31(C), pages 188-204.
    26. Miller, Alan D. & Chambers, Christopher P., "undated". "Scholarly Influence," Working Papers WP2013/1, University of Haifa, Department of Economics.
    27. Tom Coupe & Olivier Gergaud & Abdul Noury, 2016. "Biases in Voting - The Case of the FIFA Best Player Award," Discussion Papers 57, Kyiv School of Economics.
    28. Oswald, Andrew J., 2015. "The Objective Measurement of World-Leading Research," IZA Discussion Papers 8829, Institute of Labor Economics (IZA).

  20. Qian, Hailong & Schmidt, Peter, 2003. "Partial GLS regression," Economics Letters, Elsevier, vol. 79(3), pages 385-392, June.

    Cited by:

    1. Alan J. Rogers, 2013. "Concentration Ellipsoids, Their Planes of Support, and the Linear Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 220-243, February.
    2. Moscone, F. & Tosetti, E., 2011. "GMM estimation of spatial panels with fixed effects and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 41(5), pages 487-497, September.
    3. Yongge Tian & Jieping Zhang, 2011. "Some equalities for estimations of partial coefficients under a general linear regression model," Statistical Papers, Springer, vol. 52(4), pages 911-920, November.
    4. Yuqin Sun & Rong Ke & Yongge Tian, 2014. "Some overall properties of seemingly unrelated regression models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(2), pages 103-120, April.
    5. Han, Chirok & Phillips, Peter C. B. & Sul, Donggyu, 2014. "X-Differencing And Dynamic Panel Model Estimation," Econometric Theory, Cambridge University Press, vol. 30(1), pages 201-251, February.
    6. Moscone, Francesco & Tosetti, Elisa, 2010. "GMM estimation of Spatial Panels with Fixed Effects," MPRA Paper 20152, University Library of Munich, Germany.
    7. Tian, Yongge & Jiang, Bo, 2016. "Equalities for estimators of partial parameters under linear model with restrictions," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 299-313.

  21. de Jong, Robert M. & Schmidt, Peter, 2002. "Spurious logarithms and the KPSS statistic," Economics Letters, Elsevier, vol. 76(3), pages 383-391, August.

    Cited by:

    1. Heinen, Florian, 2011. "A note on testing for purchasing power parity," Hannover Economic Papers (HEP) dp-471, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  22. Han, Chirok & Schmidt, Peter, 2001. "The asymptotic distribution of the instrumental variable estimators when the instruments are not correlated with the regressors," Economics Letters, Elsevier, vol. 74(1), pages 61-66, December.

    Cited by:

    1. Breusch, Trevor & Ward, Michael B. & Nguyen, Hoa Thi Minh & Kompas, Tom, 2011. "On the Fixed-Effects Vector Decomposition," Political Analysis, Cambridge University Press, vol. 19(2), pages 123-134, April.
    2. Christian Durán, 2004. "Evaluación microeconométrica de las políticas públicas de empleo: aspectos metodológicos," Hacienda Pública Española / Review of Public Economics, IEF, vol. 170(3), pages 107-133, september.

  23. Ahn, Seung Chan & Hoon Lee, Young & Schmidt, Peter, 2001. "GMM estimation of linear panel data models with time-varying individual effects," Journal of Econometrics, Elsevier, vol. 101(2), pages 219-255, April.

    Cited by:

    1. Kneip, Alois & Sickles, Robin C. & Song, Wonho, 2012. "A New Panel Data Treatment For Heterogeneity In Time Trends," Econometric Theory, Cambridge University Press, vol. 28(3), pages 590-628, June.
    2. Jörg Breitung & Philipp Hansen, 2021. "Alternative estimation approaches for the factor augmented panel data model with small T," Empirical Economics, Springer, vol. 60(1), pages 327-351, January.
    3. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    4. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    5. Hayakawa, Kazuhiko, 2016. "Identification problem of GMM estimators for short panel data models with interactive fixed effects," Economics Letters, Elsevier, vol. 139(C), pages 22-26.
    6. Young Hoon Lee, 2009. "The Impact of Postseason Restructuring on the Competitive Balance and Fan Demand in Major League Baseball," Working Papers 0901, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    7. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.
    8. Luigi Infante & Stefano Piermattei & Raffaele Santioni & Bianca Sorvillo, 2020. "Diversifying away risks through derivatives: an analysis of the Italian banking system," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 621-657, July.
    9. Shanti Gamper-Rabindran & Shakeeb Khan & Christopher Timmins, 2008. "The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach," NBER Working Papers 14365, National Bureau of Economic Research, Inc.
    10. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    11. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    12. G. Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure Endogeneity," Monash Econometrics and Business Statistics Working Papers 14/15, Monash University, Department of Econometrics and Business Statistics.
    13. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    14. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    16. Hyungsik Roger Moon & Martin Weidner, 2019. "Nuclear norm regularized estimation of panel regression models," CeMMAP working papers CWP14/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Alban Thomas, 2002. "Consistent estimation of discrete-choice models for panel data with multiplicative effects," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D6-2, International Conferences on Panel Data.
    18. Benjamin Williams, 2018. "Identification of the Linear Factor Model," Working Papers 2018-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    19. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    20. M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo.
    21. Kim, Yong-seong & Kim, Taebong, 2017. "The Effects of Institutions on the Labour Market Outcomes: Cross-country Analysis," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 39(4), pages 69-94.
    22. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    24. Artūras Juodis & Vasilis Sarafidis, 2018. "Fixed T dynamic panel data estimators with multifactor errors," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 893-929, September.
    25. Jean-Thomas Bernard & Michael Gavin & Lynda Khalaf & Marcel Voia, 2011. "The Environmental Kuznets Curve: Tipping Points, Uncertainty and Weak Identification," Cahiers de recherche CREATE 2011-4, CREATE.
    26. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    27. Sarafidis, Vasilis & Yamagata, Takashi, 2010. "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors under Cross-sectional Dependence," MPRA Paper 25182, University Library of Munich, Germany.
    28. Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute of Labor Economics (IZA).
    29. Peng Shi & Wei Zhang, 2011. "A copula regression model for estimating firm efficiency in the insurance industry," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2271-2287.
    30. Oualid Bada & Alois Kneip & Dominik Liebl & Tim Mensinger & James Gualtieri & Robin C. Sickles, 2021. "A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters," Papers 2109.10950, arXiv.org.
    31. Jee-Seon Kim & Edward Frees, 2006. "Omitted Variables in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 659-690, December.
    32. Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.
    33. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    34. Hyungsik Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP49/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    35. Kazuhiko Hayakawa & Vanessa Smith & M. Hashem Pesaran, 2014. "Transformed Maximum Likelihood Estimation of Short Dynamic Panel Data Models with interactive effects," Cambridge Working Papers in Economics 1412, Faculty of Economics, University of Cambridge.
    36. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.
    37. Ligon, Ethan, 2020. "Estimating Household Welfare from Disaggregate Expenditures," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt3ts0g5tn, Department of Agricultural & Resource Economics, UC Berkeley.
    38. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    39. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    40. Murtazashvili, Irina & Wooldridge, Jeffrey M., 2008. "Fixed effects instrumental variables estimation in correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 539-552, January.
    41. Seung C. Ahn & Young H. Lee & Peter Schmidt, 2007. "Panel Data Models with Multiple Time-Varying Individual Effects," Working Papers 0702, University of Crete, Department of Economics.
    42. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
    43. Kazuhiko Hayakawa & M. Hashem Pesaran & L. Vanessa Smith, 2023. "Short T dynamic panel data models with individual, time and interactive effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 940-967, September.
    44. Sébastien Roux & Philippe Zamora, 2013. "L'impact local des radars fixes sur les accidents de la route : un effet important après l'installation mais plus réduit à long terme," Économie et Statistique, Programme National Persée, vol. 460(1), pages 37-68.
    45. Cheng Hsiao & Yan Shen & Wenlong Bian, 2016. "Evaluating the Effectiveness of China's Financial Reform The Efficiency of China's Domestic Banks," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    46. Nocera, A. & Pesaran, M. H., 2022. "Causal effects of the Fed's large-scale asset purchases on firms' capital structure," Cambridge Working Papers in Economics 2224, Faculty of Economics, University of Cambridge.
    47. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022. "Which are the long-run determinants of US outward FDI? Evidence using large long-memory panels," Working Papers 2022.08, International Network for Economic Research - INFER.
    48. Francesco Bartolucci & Federico Belotti & Franco Peracchi, 2013. "Testing for Time-Invariant Unobserved Heterogeneity in Generalized Linear Models for Panel Data," EIEF Working Papers Series 1312, Einaudi Institute for Economics and Finance (EIEF), revised May 2013.
    49. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    50. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2012. "Stochastic frontier analysis using Stata," CEIS Research Paper 251, Tor Vergata University, CEIS, revised 13 Sep 2012.
    51. De Vos, Ignace & Westerlund, Joakim, 2019. "On CCE estimation of factor-augmented models when regressors are not linear in the factors," Economics Letters, Elsevier, vol. 178(C), pages 5-7.
    52. Giovanni Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure and Endogeneity," School of Economics Discussion Papers 0315, School of Economics, University of Surrey.
    53. Bin Peng & Giovanni Forchini, 2014. "Consistent Estimation of Panel Data Models with a Multifactor Error Structure when the Cross Section Dimension is Large," Working Paper Series 20, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    54. Laurent Gobillon & François-Charles Wolff, 2015. "Évaluer l’effet des politiques publiques locales avec les contrôles synthétiques et les modèles à facteurs : Une application au marché du poisson français," Working Papers halshs-01183455, HAL.
    55. Yongcheol Shin & Laura Serlenga, 2007. "Gravity models of intra-EU trade: application of the CCEP-HT estimation in heterogeneous panels with unobserved common time-specific factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 361-381.
    56. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2022. "Robust Estimation and Inference in Panels with Interactive Fixed Effects," Papers 2210.06639, arXiv.org, revised Jul 2023.
    57. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2006. "Asymptotics for panel models with common shocks," Working Papers 0615, Department of Management, Information and Production Engineering, University of Bergamo.
    58. Sébastien Roux & Philippe Zamora, 2011. "Short and Medium-Run Local Effects of Fixed Speed Enforcement Cameras on Accidents : Evidence from the French Case," Working Papers 2011-01, Center for Research in Economics and Statistics.
    59. Tom Wansbeek & Erik Meijer, 2007. "Comments on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 33-36, May.
    60. Al Mamun, Md. & Sohag, Kazi & Uddin, Gazi Salah & Shahbaz, Muhammad, 2015. "Remittance and domestic labor productivity: evidence from remittance recipient countries," MPRA Paper 62177, University Library of Munich, Germany, revised 12 Feb 2015.
    61. Hou, Lei & Li, Kunpeng & Li, Qi & Ouyang, Min, 2021. "Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks," Journal of Econometrics, Elsevier, vol. 221(2), pages 483-509.
    62. Peter Schmidt & Chirok Han & Luis Orea, 2004. "Estimation of a Panel Data Model with Parametric Temporal Variation in Individual Effects," Econometric Society 2004 Far Eastern Meetings 519, Econometric Society.
    63. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
    64. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    65. Hao, Bowen & Prokhorov, Artem & Qian, Hailong, 2019. "Moment Redundancy Test with Application to Efficiency-Improving Copulas," Working Papers BAWP-2019-05, University of Sydney Business School, Discipline of Business Analytics.
    66. Lee, Young Hoon, 2010. "Group-specific stochastic production frontier models with parametric specifications," European Journal of Operational Research, Elsevier, vol. 200(2), pages 508-517, January.
    67. Ambetsa Wycliffe Oparanya & Kenneth P. Mdadila & Longinus K. Rutasitara, 2019. "The Determinant of Bilateral Trade in the East African Community: Application of the Gravity Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(4), pages 1-15, April.
    68. Arturas Juodis & Sarafidis, V., 2015. "A Simple Estimator for Short Panels with Common Factors," UvA-Econometrics Working Papers 15-03, Universiteit van Amsterdam, Dept. of Econometrics.
    69. Yamagata, Takashi, 2008. "A joint serial correlation test for linear panel data models," Journal of Econometrics, Elsevier, vol. 146(1), pages 135-145, September.
    70. Robertson, Donald & Sarafidis, Vasilis & Symons, James, 2010. "IV Estimation of Panels with Factor Residuals," MPRA Paper 26166, University Library of Munich, Germany.
    71. Li, Kunpeng & Cui, Guowei & Lu, Lina, 2020. "Efficient estimation of heterogeneous coefficients in panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 216(2), pages 327-353.
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    73. G. Forchini & Bin Jiang & Bin Peng, 2015. "Common Shocks in panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 8/15, Monash University, Department of Econometrics and Business Statistics.
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    75. M. Hashem Pesaran, 2003. "Estimation and Inference in Large Heterogenous Panels with Cross Section Dependence," CESifo Working Paper Series 869, CESifo.
    76. Young Hoon Lee & David Berri, 2008. "A Re‐Examination Of Production Functions And Efficiency Estimates For The National Basketball Association," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(1), pages 51-66, February.
    77. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 49/13, Institute for Fiscal Studies.
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    80. Gao, Z. & Pesaran, M. H., 2022. "Identification and Estimation of Categorical Random Coeficient Models," Cambridge Working Papers in Economics 2228, Faculty of Economics, University of Cambridge.
    81. Joakim Westerlund, 2020. "A cross‐section average‐based principal components approach for fixed‐T panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 776-785, September.
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    84. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.
    85. Philippe de Vreyer & Javier Herrera & Sandrine Mesplé-Somps, 2009. "Consumption Growth and Spatial Poverty Traps: An Analysis of the Effect of Social Services and Community Infrastructures on Living Standards in Rural Peru," Post-Print hal-01377603, HAL.
    86. Laura Serlenga & Yongcheol Shin, 2004. "Gravity Models of the Intra-EU Trade: Application of the Hausman-Taylor Estimation in Heterogeneous Panels with Common Time-specific Factors," Edinburgh School of Economics Discussion Paper Series 105, Edinburgh School of Economics, University of Edinburgh.
    87. Jianqing Fan & Yuan Ke & Yuan Liao, 2016. "Augmented Factor Models with Applications to Validating Market Risk Factors and Forecasting Bond Risk Premia," Papers 1603.07041, arXiv.org, revised Sep 2018.
    88. Georg Keilbar & Juan M. Rodriguez-Poo & Alexandra Soberon & Weining Wang, 2022. "A semiparametric approach for interactive fixed effects panel data models," Papers 2201.11482, arXiv.org, revised Mar 2023.
    89. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 12/17, Institute for Fiscal Studies.
    90. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 08/12, Institute for Fiscal Studies.
    91. Luigi Infante & Stefano Piermattei & Raffaele Santioni & Bianca Sorvillo, 2018. "Why do banks use derivatives? An analysis of the Italian banking system," Questioni di Economia e Finanza (Occasional Papers) 441, Bank of Italy, Economic Research and International Relations Area.
    92. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    93. Moukpè Gniniguè & Essossinam Ali, 2022. "Migrant Remittances and Economic Growth in ECOWAS Countries: Does Digitalization Matter?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2517-2542, October.
    94. Artūras Juodis, 2018. "Pseudo Panel Data Models With Cohort Interactive Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 47-61, January.
    95. Chen, Mingli, 2016. "Estimation of Nonlinear Panel Models with Multiple Unobserved Effects," The Warwick Economics Research Paper Series (TWERPS) 1120, University of Warwick, Department of Economics.
    96. Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Asymptotic distribution of factor augmented estimators for panel regression," Journal of Econometrics, Elsevier, vol. 169(1), pages 48-53.
    97. Feng, Qu & Horrace, William C., 2007. "Fixed-effect estimation of technical efficiency with time-invariant dummies," Economics Letters, Elsevier, vol. 95(2), pages 247-252, May.
    98. Chen, Liang, 2015. "Set identification of panel data models with interactive effects via quantile restrictions," Economics Letters, Elsevier, vol. 137(C), pages 36-40.
    99. Yan Sun & Wei Huang, 2022. "Quasi-maximum likelihood estimation of short panel data models with time-varying individual effects," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(1), pages 93-114, January.
    100. Jie Wei & Yonghui Zhang, 2022. "Panel Probit Models with Time‐Varying Individual Effects: Reestimating the Effects of Fertility on Female Labour Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 799-829, August.
    101. Castagnetti, Carolina & Rossi, Eduardo, 2008. "Estimation methods in panel data models with observed and unobserved components: a Monte Carlo study," MPRA Paper 26196, University Library of Munich, Germany.
    102. Vuslat Us, 2015. "The Turkish Banking Sector Before and After the Global Crisis:An Ownership Breakdown," CBT Research Notes in Economics 1502, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    103. Giovanni Forchini & Bin Peng, 2016. "A Conditional Approach to Panel Data Models with Common Shocks," Econometrics, MDPI, vol. 4(1), pages 1-12, January.
    104. Marco Barassi & Yiannis Karavias & Chongxian Zhu, 2023. "Threshold Regression in Heterogeneous Panel Data with Interactive Fixed Effects," Papers 2308.04057, arXiv.org.
    105. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    106. Shobande, Olatunji A. & Ogbeifun, Lawrence, 2023. "Pooling cross-sectional and time series data for estimating causality between technological innovation, affluence and carbon dynamics: A comparative evidence from developed and developing countries," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    107. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.
    108. Sarafidis, Vasilis & Yamagata, Takashi & Robertson, Donald, 2009. "A test of cross section dependence for a linear dynamic panel model with regressors," Journal of Econometrics, Elsevier, vol. 148(2), pages 149-161, February.
    109. Connor, Gregory & Korajczyk, Robert A. & Linton, Oliver, 2006. "The common and specific components of dynamic volatility," Journal of Econometrics, Elsevier, vol. 132(1), pages 231-255, May.
    110. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2014. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 20/14, Institute for Fiscal Studies.
    111. Ali M. Kutan & Nahla Samargandi & Kazi Sohag, 2017. "Does Institutional Quality Matter for Financial Development and Growth? Further Evidence from MENA Countries," Australian Economic Papers, Wiley Blackwell, vol. 56(3), pages 228-248, September.
    112. Westerlund, Joakim & Norkute, Milda, 2014. "A Factor Analytical Method to Interactive Effects Dynamic Panel Models with or without Unit Root," Working Papers 2014:12, Lund University, Department of Economics.
    113. Bai, Jushan & Liao, Yuan, 2017. "Inferences in panel data with interactive effects using large covariance matrices," Journal of Econometrics, Elsevier, vol. 200(1), pages 59-78.
    114. Zhenhao Gong & Min Seong Kim, 2024. "Improved Inference for Interactive Fixed Effects Model under Cross-Sectional Dependence," Working papers 2024-02, University of Connecticut, Department of Economics.
    115. Hua Liu & Youquan Pei & Qunfang Xu, 2020. "Estimation for varying coefficient panel data model with cross-sectional dependence," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(3), pages 377-410, April.
    116. Wang, Eric C., 2007. "R&D efficiency and economic performance: A cross-country analysis using the stochastic frontier approach," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 345-360.
    117. Kuersteiner, Guido M. & Prucha, Ingmar R., 2013. "Limit theory for panel data models with cross sectional dependence and sequential exogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 107-126.
    118. Heather L. Bednarek & Hailong Qian, 2016. "The optimality of non-optimal GMM estimation of parameters of interest and the partial asymptotic efficiency of 2SLS estimation," Economics Bulletin, AccessEcon, vol. 36(3), pages 1636-1649.
    119. Bada, Oualid & Liebl, Dominik, 2014. "phtt: Panel Data Analysis with Heterogeneous Time Trends in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i06).

  24. William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26.

    Cited by:

    1. Lechner, Michael & Smith, Jeffrey, 2003. "What is the Value Added by Caseworkers?," CEPR Discussion Papers 3825, C.E.P.R. Discussion Papers.
    2. William C. Horrace & Hyunseok Jung & Yi Yang, 2022. "The Conditional Mode in Parametric Frontier Models," Center for Policy Research Working Papers 249, Center for Policy Research, Maxwell School, Syracuse University.
    3. Yangseon Kim & Peter Schmidt, 2007. "Marginal Comparisons with the Best ant the Efficiency Measurment Problem," Working Papers 0703, University of Crete, Department of Economics, revised 01 Dec 2006.
    4. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    5. Tai-Hsin Huang & Tong-Liang Kao, 2006. "Joint estimation of technical efficiency and production risk for multi-output banks under a panel data cost frontier model," Journal of Productivity Analysis, Springer, vol. 26(1), pages 87-102, August.
    6. Badunenko, Oleg & Kumbhakar, Subal C., 2016. "When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models," European Journal of Operational Research, Elsevier, vol. 255(1), pages 272-287.
    7. Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007. "Identifying technically efficient fishing vessels: a non-empty, minimal subset approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
    8. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    9. William C. Horrace & Christopher F. Parmeter, 2017. "Accounting for Multiplicity in Inference on Economics Journal Rankings," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 337-347, July.
    10. Michael Rosholm & Jonas Staghøj & Michael Svarer, 2007. "A Statistical Programme Assignment Model," Economics Working Papers 2007-16, Department of Economics and Business Economics, Aarhus University.
    11. William C. Horrace & Joseph T. Marchand & Timothy M. Smeeding, 2006. "Ranking Inequality: Applications of Multivariate Subset Selection," Working Papers 21, ECINEQ, Society for the Study of Economic Inequality.
    12. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2013. "A zero inefficiency stochastic frontier model," Journal of Econometrics, Elsevier, vol. 172(1), pages 66-76.
    13. William C. Horrace & Christopher F. Parmeter, 2018. "A Laplace stochastic frontier model," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 260-280, March.
    14. Brennan S Thompson & Matthew D Webb, 2019. "A simple, graphical approach to comparing multiple treatments," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 188-205.
    15. Lechner, Michael & Frölich, Markus & Behncke, Stefanie, 2007. "Targeting Labour Market Programmes - Results from A Randomised Experiment," CEPR Discussion Papers 6537, C.E.P.R. Discussion Papers.
    16. William C. Horrace, & Andrew I. Friedson & Allison F. Marier, 2016. "So Many Hospitals, So Little Information: How Hospital Value Based Purchasing is a Game of Chance," Center for Policy Research Working Papers 192, Center for Policy Research, Maxwell School, Syracuse University.
    17. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    18. Pang Du & Christopher F. Parmeter & Jeffrey S. Racine, 2012. "Nonparametric Kernel Regression with Multiple Predictors and Multiple Shape Constraints," Department of Economics Working Papers 2012-08, McMaster University.
    19. Horrace, William C., 2005. "On ranking and selection from independent truncated normal distributions," Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June.
    20. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    21. Christian Growitsch & Jamasb, T. & Pollitt, M., 2005. "Quality of Service, Efficiency and Scale in Network Industries: An analysis of European electricity distribution," Cambridge Working Papers in Economics 0538, Faculty of Economics, University of Cambridge.
    22. Markus Frölich, 2006. "Statistical Treatment Choice: An Application to Active Labour Market Programmes," University of St. Gallen Department of Economics working paper series 2006 2006-14, Department of Economics, University of St. Gallen.
    23. Feng, Qu & Horrace, William C., 2012. "Estimating technical efficiency in micro panels," Economics Letters, Elsevier, vol. 117(3), pages 730-733.
    24. Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data," Working Papers 0704, University of Crete, Department of Economics.
    25. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
    26. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    27. Markus Frölich & Michael Lechner & Heidi Steiger, 2003. "Statistically Assisted Programme Selection - International Experiences and Potential Benefits for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(III), pages 311-331, September.
    28. William C. Horrace & Seth O. Richards, 2007. "A Monte Carlo Study of Efficiency Estimates from Frontier Models," Center for Policy Research Working Papers 97, Center for Policy Research, Maxwell School, Syracuse University.
    29. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    30. Dorfman, Jeffrey H. & Atkinson, Scott E., 2002. "Multiple Comparisons With The Best: Bayesian Precision Measures Of Efficiency Rankings," 2002 Annual meeting, July 28-31, Long Beach, CA 19800, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    31. Kollerup, Anna & Wadmann, Sarah & Bek, Toke & Kjellberg, Jakob, 2022. "National clinical guidelines and treatment centralization do not guarantee consistency in healthcare delivery. A mixed-methods study of wet age-related macular degeneration treatment in Denmark," Health Policy, Elsevier, vol. 126(12), pages 1291-1302.
    32. Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.
    33. William C. Horrace, 2002. "Tables of Percentage Points of the k-Variate Normal Distribution for Large Values of k," Econometrics 0206007, University Library of Munich, Germany.
    34. Viliam Druska & William C. Horrace, 2004. "Generalized Moments Estimation for Spatial Panel Data: Indonesian Rice Farming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 185-198.
    35. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    36. Scott E. Atkinson & Rolf Färe & Daniel Primont, 2003. "Stochastic Estimation of Firm Inefficiency Using Distance Functions," Southern Economic Journal, John Wiley & Sons, vol. 69(3), pages 596-611, January.
    37. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    38. Phu Nguyen-Van & Nguyen To-The, 2014. "Agricultural extension and technical efficiency of tea production in northeastern Vietnam," Working Papers of BETA 2014-11, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    39. Dan A. Black & Natalia A. Kolesnikova & Lowell J. Taylor, 2007. "Earnings functions when wages and prices vary by location," Working Papers 2007-031, Federal Reserve Bank of St. Louis.
    40. Feng, Qu & Horrace, William C., 2007. "Fixed-effect estimation of technical efficiency with time-invariant dummies," Economics Letters, Elsevier, vol. 95(2), pages 247-252, May.
    41. Daniel J. Henderson & Valentin Zelenyuk, 2007. "Testing for (Efficiency) Catching‐up," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 1003-1019, April.
    42. Matthias Arnold & Dominik Wied, 2014. "Improved GMM estimation of random effects panel data models with spatially correlated error components," Papers in Regional Science, Wiley Blackwell, vol. 93(1), pages 77-99, March.
    43. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    44. Kanter, Christopher A. & Hueth, Brent & Gould, Brian W., 2013. "A Comparative Efficiency Analysis of Cooperative and Non-cooperative Dairy Manufacturing Firms," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150497, Agricultural and Applied Economics Association.
    45. Jonas Staghøj & Michael Svarer & Michael Rosholm, 2010. "Choosing the Best Training Programme: Is there a Case for Statistical Treatment Rules?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(2), pages 172-201, April.
    46. Phill Wheat & William Greene & Andrew Smith, 2014. "Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 55-65, August.
    47. William C. Horrace, 2002. "Selection Procedures for Order Statistics in Empirical Economic Studies," Econometrics 0206005, University Library of Munich, Germany.
    48. William Horrace & Seth Richards-Shubik, 2012. "A Monte Carlo study of ranked efficiency estimates from frontier models," Journal of Productivity Analysis, Springer, vol. 38(2), pages 155-165, October.
    49. Kim Rose Olsen & Andrew Street, 2008. "The analysis of efficiency among a small number of organisations: How inferences can be improved by exploiting patient‐level data," Health Economics, John Wiley & Sons, Ltd., vol. 17(6), pages 671-681, June.
    50. Yongseung Han & Arthur Snow & Ronald S. Warren, 2021. "Changes in the productive efficiency of U.S. flour mills in the late nineteenth century: an input-distance-function approach," Journal of Productivity Analysis, Springer, vol. 56(2), pages 115-132, December.

  25. So Im, Kyung & Ahn, Seung C. & Schmidt, Peter & Wooldridge, Jeffrey M., 1999. "Efficient estimation of panel data models with strictly exogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 93(1), pages 177-201, November.

    Cited by:

    1. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2003. "Fixed effects, random effects or Hausman-Taylor?: A pretest estimator," Economics Letters, Elsevier, vol. 79(3), pages 361-369, June.
    2. Badi H. Baltagi & Chihwa Kao & Bin Peng, 2014. ""On Testing for Sphericity with Non-normality in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 176, Center for Policy Research, Maxwell School, Syracuse University.
    3. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    4. Cheng, Xu & Liao, Zhipeng, 2015. "Select the valid and relevant moments: An information-based LASSO for GMM with many moments," Journal of Econometrics, Elsevier, vol. 186(2), pages 443-464.
    5. Inmaculada Garc�a Mainar & V�ctor M. Montuenga G�mez, 2004. "Returns to education and to experience within the EU: are there differences between wage earners and the self-employed?," Documentos de Trabajo dt2004-08, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    6. Park, Byeong U. & Sickles, Robin C. & Simar, Leopold, 2003. "Semiparametric-efficient estimation of AR(1) panel data models," Journal of Econometrics, Elsevier, vol. 117(2), pages 279-309, December.
    7. Timo Mitze, 2010. "Estimating Gravity Models of International Trade with Correlated Time-Fixed Regressors: To IV or not IV?," EERI Research Paper Series EERI_RP_2010_22, Economics and Econometrics Research Institute (EERI), Brussels.
    8. M. Hashem Pesaran & Qiankun Zhou, 2018. "Estimation of time-invariant effects in static panel data models," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1137-1171, November.
    9. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    10. Chirok Han & Peter C.B. Phillips, 2007. "GMM Estimation for Dynamic Panels with Fixed Effects and Strong Instruments at Unity," Cowles Foundation Discussion Papers 1599, Cowles Foundation for Research in Economics, Yale University.
    11. Badi H. Baltagi & Long Liu, 2012. "The Hausman-Taylor Panel Data Model with Serial Correlation," Center for Policy Research Working Papers 136, Center for Policy Research, Maxwell School, Syracuse University.
    12. Gian Maria Tomat, 2020. "Present Value Models and the Behaviour of European Financial Markets," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(3), pages 493-520, November.
    13. Jee-Seon Kim & Edward Frees, 2007. "Multilevel Modeling with Correlated Effects," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 505-533, December.
    14. Badi H. Baltagi, 2013. "Dynamic panel data models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 10, pages 229-248, Edward Elgar Publishing.
    15. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
    16. Jean-Bernard Chatelain & Kirsten Ralf, 2021. "Inference on time-invariant variables using panel data: A pretest estimator," PSE-Ecole d'économie de Paris (Postprint) halshs-03672612, HAL.
    17. Yang, Yimin, 2021. "Efficient estimation of multi-level models with strictly exogenous explanatory variables," Economics Letters, Elsevier, vol. 198(C).
    18. Farbmacher, Helmut & Tauchmann, Harald, 2021. "Linear fixed-effects estimation with non-repeated outcomes," FAU Discussion Papers in Economics 03/2021, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2021.
    19. Muhammad Aslam & Wajid Alim & Naeem Khan, 2022. "Nexus between Capital Flows and Economic Growth: An Evidence from South Asian Countries," Journal of Economic Impact, Science Impact Publishers, vol. 4(2), pages 14-21.
    20. Amoroso, Sara & Bruno, Randolph Luca & Magazzini, Laura, 2022. "The Identification of Time-Invariant Variables in Panel Data Model: Exploring the Role of Science in Firms’ Productivity," IZA Discussion Papers 15708, Institute of Labor Economics (IZA).
    21. Qian, Hailong & Schmidt, Peter, 2003. "Partial GLS regression," Economics Letters, Elsevier, vol. 79(3), pages 385-392, June.
    22. Eduardo Fé, 2012. "Instrumental variable estimation of heteroskedasticity adaptive error component models," Statistical Papers, Springer, vol. 53(3), pages 577-615, August.
    23. Mark A. Klinedinst, 2016. "Bank Decapitalization and Credit Union Capitalization," SAGE Open, , vol. 6(1), pages 21582440166, February.
    24. Hafiz M. Muddasar Jamil Shera & Irum Sajjad Dar, 2014. "Addressing Corner Solution Effect for Child Mortality Status Measure: An Application of Tobit Model," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(12), pages 218-225, December.
    25. Mitze, Timo, 2009. "Endogeneity in Panel Data Models with Time-Varying and Time-Fixed Regressors: To IV or not IV?," Ruhr Economic Papers 83, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    26. Liverpool, Lenis Saweda O. & Winter-Nelson, Alex, 2010. "Asset versus consumption poverty and poverty dynamics in the presence of multiple equilibria in rural Ethiopia," IFPRI discussion papers 971, International Food Policy Research Institute (IFPRI).
    27. Nguyen, James, 2012. "The relationship between net interest margin and noninterest income using a system estimation approach," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2429-2437.
    28. Yoichi Matsubayashi & Takao Fujii, 2012. "Substitutability of Savings by Sectors: OECD Experiences," Discussion Papers 1215, Graduate School of Economics, Kobe University.
    29. Eduardo Fé Rodríguez, 2009. "Adaptive Instrumental Variable Estimation of Heteroskedastic Error Component Models," Economics Discussion Paper Series 0921, Economics, The University of Manchester.
    30. Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

  26. Kim, Yangseon & Qian, Hailong & Schmidt, Peter, 1999. "Efficient GMM and MD estimation of autoregressive models," Economics Letters, Elsevier, vol. 62(3), pages 265-270, March.

    Cited by:

    1. Carrasco, Marine & Florens, Jean-Pierre, 2014. "On The Asymptotic Efficiency Of Gmm," Econometric Theory, Cambridge University Press, vol. 30(2), pages 372-406, April.
    2. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, Center for Economic and Financial Research (CEFIR).
    3. Broze, Laurence & Francq, Christian & Zakoian, Jean-Michel, 2001. "Non-redundancy of high order moment conditions for efficient GMM estimation of weak AR processes," Economics Letters, Elsevier, vol. 71(3), pages 317-322, June.
    4. West, Kenneth D., 2002. "Efficient GMM estimation of weak AR processes," Economics Letters, Elsevier, vol. 75(3), pages 415-418, May.
    5. Hao, Bowen & Prokhorov, Artem & Qian, Hailong, 2019. "Moment Redundancy Test with Application to Efficiency-Improving Copulas," Working Papers BAWP-2019-05, University of Sydney Business School, Discipline of Business Analytics.
    6. Han, Chirok & Phillips, Peter C. B. & Sul, Donggyu, 2011. "Uniform Asymptotic Normality In Stationary And Unit Root Autoregression," Econometric Theory, Cambridge University Press, vol. 27(6), pages 1117-1151, December.

  27. Qian, Hailong & Schmidt, Peter, 1999. "Improved instrumental variables and generalized method of moments estimators," Journal of Econometrics, Elsevier, vol. 91(1), pages 145-169, July.

    Cited by:

    1. Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
    2. Inkmann, Joachim, 2000. "Finite Sample Properties of One-step, Two-step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation," CoFE Discussion Papers 00/03, University of Konstanz, Center of Finance and Econometrics (CoFE).
    3. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    4. Otávio Bartalotti, 2013. "GMM Efficiency and IPW Estimation for Nonsmooth Functions," Working Papers 1301, Tulane University, Department of Economics.
    5. Im, Kyung So & Schmidt, Peter, 2008. "More efficient estimation under non-normality when higher moments do not depend on the regressors, using residual augmented least squares," Journal of Econometrics, Elsevier, vol. 144(1), pages 219-233, May.
    6. 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.
    7. Yiying Cheng & Yaozhong Hu & Hongwei Long, 2020. "Generalized moment estimators for $$\alpha $$α-stable Ornstein–Uhlenbeck motions from discrete observations," Statistical Inference for Stochastic Processes, Springer, vol. 23(1), pages 53-81, April.
    8. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    9. Olayide, Olawale Emmanuel & Tetteh, Isaac Kow & Popoola, Labode, 2016. "Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture?," Agricultural Water Management, Elsevier, vol. 178(C), pages 30-36.
    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.

  28. Breusch, Trevor & Qian, Hailong & Schmidt, Peter & Wyhowski, Donald, 1999. "Redundancy of moment conditions," Journal of Econometrics, Elsevier, vol. 91(1), pages 89-111, July.

    Cited by:

    1. Saraswata Chaudhuriy & David T. Frazierz & Eric Renault, 2016. "Indirect Inference with Endogenously Missing Exogenous Variables," CIRANO Working Papers 2016s-15, CIRANO.
    2. Kim, Yangseon & Qian, Hailong & Schmidt, Peter, 1999. "Efficient GMM and MD estimation of autoregressive models," Economics Letters, Elsevier, vol. 62(3), pages 265-270, March.
    3. Han, Chirok & Kim, Hyoungjong, 2014. "The role of constant instruments in dynamic panel estimation," Economics Letters, Elsevier, vol. 124(3), pages 500-503.
    4. Alan J. Rogers, 2013. "Concentration Ellipsoids, Their Planes of Support, and the Linear Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 220-243, February.
    5. Cheng, Xu & Liao, Zhipeng, 2015. "Select the valid and relevant moments: An information-based LASSO for GMM with many moments," Journal of Econometrics, Elsevier, vol. 186(2), pages 443-464.
    6. Loh, Chung-Ping A. & Li, Qiang, 2013. "Peer effects in adolescent bodyweight: Evidence from rural China," Social Science & Medicine, Elsevier, vol. 86(C), pages 35-44.
    7. Domenico Depalo & Raffaella Giordano, 2011. "The public-private pay gap: a robust quantile approach," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 70(1), pages 25-64, January.
    8. Alastair R. Hall & Fernanda P. M. Peixe, 2003. "A Consistent Method for the Selection of Relevant Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 22(3), pages 269-287, January.
    9. Liu, Xiaodong & Lee, Lung-fei & Bollinger, Christopher R., 2010. "An efficient GMM estimator of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 159(2), pages 303-319, December.
    10. Leonardo Baccini & Soo Kim, 2012. "Preventing protectionism: International institutions and trade policy," The Review of International Organizations, Springer, vol. 7(4), pages 369-398, December.
    11. James Lomas & Stephen Martin & Karl Claxton, 2018. "Estimating the marginal productivity of the English National Health Service from 2003/04 to 2012/13," Working Papers 158cherp, Centre for Health Economics, University of York.
    12. Zhao, Qiran & Yu, Xiaohua & Wang, Xiaobing & Glauben, Thomas, 2012. "The impact of parental migration on children’s school performance in rural China," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126460, International Association of Agricultural Economists.
    13. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, Center for Economic and Financial Research (CEFIR).
    14. Bolko, Anine E. & Christensen, Kim & Pakkanen, Mikko S. & Veliyev, Bezirgen, 2023. "A GMM approach to estimate the roughness of stochastic volatility," Journal of Econometrics, Elsevier, vol. 235(2), pages 745-778.
    15. Chaudhuri, Saraswata & Renault, Eric, 2023. "Efficient estimation of regression models with user-specified parametric model for heteroskedasticty," The Warwick Economics Research Paper Series (TWERPS) 1473, University of Warwick, Department of Economics.
    16. 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.
    17. Shi, Zhentao, 2016. "Econometric estimation with high-dimensional moment equalities," Journal of Econometrics, Elsevier, vol. 195(1), pages 104-119.
    18. Harris, Matthew & Kessler, Lawrence & Murray, Matthew & Glenn, Beth, 2017. "Prescription Opioids and Labor Market Pains: The Effect of Schedule II Opioids on Labor Force Participation and Unemployment," MPRA Paper 86586, University Library of Munich, Germany, revised 28 Mar 2018.
    19. Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
    20. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    21. Francisco Peñaranda & Enrique Sentana, 2008. "Spanning tests in return and stochastic discount factor mean-variance frontiers: A unifying approach," Economics Working Papers 1101, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2010.
    22. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    23. Bertille Antoine & Otilia, 2015. "Inference in linear models with structural changes and mixed identification strength," Discussion Papers dp15-05, Department of Economics, Simon Fraser University.
    24. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    25. Kenneth West & Ka-fu Wong & Stanislav Anatolyev, 2009. "Instrumental Variables Estimation of Heteroskedastic Linear Models Using All Lags of Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 28(5), pages 441-467.
    26. T. Randolph Beard & Jeffrey T. Macher & John W. Mayo, 2015. "'Can you Hear Me Now?' Exit, Voice and Loyalty Under Increasing Competition," Journal of Law and Economics, University of Chicago Press, vol. 58(3).
    27. Sarafidis, Vasilis, 2016. "Neighbourhood GMM estimation of dynamic panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 526-544.
    28. Masayuki Hirukawa & Di Liu & Irina Murtazashvili & Artem Prokhorov, 2023. "DS-HECK: double-lasso estimation of Heckman selection model," Empirical Economics, Springer, vol. 64(6), pages 3167-3195, June.
    29. David T. Frazier & Eric Renault, 2019. "Indirect Inference: Which Moments to Match?," Econometrics, MDPI, vol. 7(1), pages 1-17, March.
    30. Doran, Howard E. & Schmidt, Peter, 2006. "GMM estimators with improved finite sample properties using principal components of the weighting matrix, with an application to the dynamic panel data model," Journal of Econometrics, Elsevier, vol. 133(1), pages 387-409, July.
    31. Arabsheibani, Reza & Staneva, Anita, 2012. "Returns to Education in Russia: Where There Is Risky Sexual Behaviour There Is Also an Instrument," IZA Discussion Papers 6726, Institute of Labor Economics (IZA).
    32. West, Kenneth D., 2002. "Efficient GMM estimation of weak AR processes," Economics Letters, Elsevier, vol. 75(3), pages 415-418, May.
    33. Sarafidis, Vasilis, 2009. "GMM Estimation of Short Dynamic Panel Data Models With Error Cross-Sectional Dependence," MPRA Paper 25176, University Library of Munich, Germany.
    34. Hao, Bowen & Prokhorov, Artem & Qian, Hailong, 2019. "Moment Redundancy Test with Application to Efficiency-Improving Copulas," Working Papers BAWP-2019-05, University of Sydney Business School, Discipline of Business Analytics.
    35. Santiago Pereda-Fernández, 2021. "Copula-Based Random Effects Models for Clustered Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.
    36. Romanos Priftis & Anastasia Theofilakou, 2021. "Growth effects of corporate balance sheet adjustments in the EU," Empirical Economics, Springer, vol. 60(2), pages 773-801, February.
    37. Im, Kyung So & Schmidt, Peter, 2008. "More efficient estimation under non-normality when higher moments do not depend on the regressors, using residual augmented least squares," Journal of Econometrics, Elsevier, vol. 144(1), pages 219-233, May.
    38. Eduardo Fé, 2012. "Instrumental variable estimation of heteroskedasticity adaptive error component models," Statistical Papers, Springer, vol. 53(3), pages 577-615, August.
    39. Ahn, Seung Chan & Hoon Lee, Young & Schmidt, Peter, 2001. "GMM estimation of linear panel data models with time-varying individual effects," Journal of Econometrics, Elsevier, vol. 101(2), pages 219-255, April.
    40. Martyn Andrews & Obbey Elamin & Alastair R. Hall & Kostas Kyriakoulis & Matthew Sutton, 2017. "Inference in the presence of redundant moment conditions and the impact of government health expenditure on health outcomes in England," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 23-41, March.
    41. Guo, Zijian & Kang, Hyunseung & Cai, T. Tony & Small, Dylan S., 2018. "Testing endogeneity with high dimensional covariates," Journal of Econometrics, Elsevier, vol. 207(1), pages 175-187.
    42. Tchatoka, Firmin Doko, 2015. "Subset Hypotheses Testing And Instrument Exclusion In The Linear Iv Regression," Econometric Theory, Cambridge University Press, vol. 31(6), pages 1192-1228, December.
    43. Nicolas Debarsy & Fei Jin & Lung-Fei Lee, 2015. "Large sample properties of the matrix exponential spatial specification with an application to FDI," Post-Print hal-00858174, HAL.
    44. Wansbeek, Tom, 2001. "GMM estimation in panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 104(2), pages 259-268, September.
    45. He, Yinghua, 2015. "Gaming the Boston School Choice Mechanism in Beijing," TSE Working Papers 15-551, Toulouse School of Economics (TSE), revised Sep 2017.
    46. 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.
    47. Kazuhiko Hayakawa, 2006. "Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present," Hi-Stat Discussion Paper Series d05-130, Institute of Economic Research, Hitotsubashi University.
    48. Viviana Amati & Felix Schönenberger & Tom A. B. Snijders, 2019. "Contemporaneous Statistics for Estimation in Stochastic Actor-Oriented Co-evolution Models," Psychometrika, Springer;The Psychometric Society, vol. 84(4), pages 1068-1096, December.
    49. Jondeau, Eric & Le Bihan, Hervé, 2008. "Examining bias in estimators of linear rational expectations models under misspecification," Journal of Econometrics, Elsevier, vol. 143(2), pages 375-395, April.
    50. Liu, Xiaodong & Saraiva, Paulo, 2015. "GMM estimation of SAR models with endogenous regressors," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 68-79.
    51. Markus Eberhardt & Christian Helmers, 2010. "Untested Assumptions and Data Slicing: A Critical Review of Firm-Level Production Function Estimators," Economics Series Working Papers 513, University of Oxford, Department of Economics.
    52. Baccini, Leonardo & Kim, Soo Yeon, 2012. "Preventing protectionism: international institutions and trade policy," LSE Research Online Documents on Economics 45573, London School of Economics and Political Science, LSE Library.
    53. Kong, Wei & Yang, Kai, 2021. "Efficient GMM estimation of a spatial autoregressive model with an endogenous spatial weights matrix," Economics Letters, Elsevier, vol. 208(C).
    54. Doğan, Osman & Taşpınar, Süleyman, 2013. "GMM estimation of spatial autoregressive models with moving average disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 903-926.
    55. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/GMM estimation and testing," Boston College Working Papers in Economics 667, Boston College Department of Economics, revised 05 Sep 2007.
    56. Eduardo Fé Rodríguez, 2009. "Adaptive Instrumental Variable Estimation of Heteroskedastic Error Component Models," Economics Discussion Paper Series 0921, Economics, The University of Manchester.
    57. Esfandiar Maasoumi & Robin Sickles, 2017. "Peter Schmidt: Econometrician and consummate professional," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 1-5, March.
    58. Waddell, G.R., 2012. "Adolescent drug use and the deterrent effect of school-imposed penalties," Economics of Education Review, Elsevier, vol. 31(6), pages 961-969.
    59. Okui, Ryo, 2009. "The optimal choice of moments in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 151(1), pages 1-16, July.
    60. J.A. Bikker & Tobias M. Vervliet, 2017. "Bank Profitability and Risk-Taking under Low Interest Rates," Working Papers 17-10, Utrecht School of Economics.
    61. Chaudhuri, Saraswata & Frazier, David T. & Renault, Eric, 2018. "Indirect Inference with endogenously missing exogenous variables," Journal of Econometrics, Elsevier, vol. 205(1), pages 55-75.
    62. Prokhorov, Artem & Schmidt, Peter, 2009. "GMM redundancy results for general missing data problems," Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
    63. Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    64. Bertille Antoine & Otilia Boldea, 2014. "Efficient Inference with Time-Varying Identification Strength," Discussion Papers dp14-03, Department of Economics, Simon Fraser University.
    65. Aniket A. Kawatkar & Joel W. Hay & William Stohl & Michael B. Nichol, 2013. "Incremental Expenditure Of Biologic Disease Modifying Antirheumatic Treatment Using Instrumental Variables In Panel Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 807-823, July.

  29. Ahn, Seung C. & Schmidt, Peter, 1997. "Efficient estimation of dynamic panel data models: Alternative assumptions and simplified estimation," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 309-321.

    Cited by:

    1. Binder, M. & Hsaio, C. & Pesaran, M.H., 2000. "Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration," Cambridge Working Papers in Economics 0003, Faculty of Economics, University of Cambridge.
    2. De Wachter, Stefan & Tzavalis, Elias, 2012. "Detection of structural breaks in linear dynamic panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3020-3034.
    3. d’Agostino, Giorgio & Dunne, J. Paul & Pieroni, Luca, 2016. "Government Spending, Corruption and Economic Growth," World Development, Elsevier, vol. 84(C), pages 190-205.
    4. Seung C. Ahn & Gareth M. Thomas, 2023. "Likelihood-based inference for dynamic panel data models," Empirical Economics, Springer, vol. 64(6), pages 2859-2909, June.
    5. Kyuho Jin, 2022. "Can Business Groups Survive Institutional Advancements? Examining the Role of Internal Market for Non-Tradable, Intangible Assets," Sustainability, MDPI, vol. 14(17), pages 1-17, September.
    6. Wang, Mei-Hui & Huang, Tai-Hsin, 2007. "A study on the persistence of Farrell's efficiency measure under a dynamic framework," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1302-1316, August.
    7. Kruiniger, Hugo, 2009. "Gmm Estimation And Inference In Dynamic Panel Data Models With Persistent Data," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1348-1391, October.
    8. Badri Narayanan G, 2005. "Effects of trade liberalisation, environmental and labour regulations on employment in India's organised textile sector," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2005-005, Indira Gandhi Institute of Development Research, Mumbai, India.
    9. Gareth M. Thomas & Seung C. Ahn, 2004. "Likelihood Based Inference for amic Panel Data Models," Econometric Society 2004 Far Eastern Meetings 669, Econometric Society.
    10. Rym Ben Ayed Mouelhi & Mohamed Goaied, 2002. "Efficiency Measure from Dynamic Stochastic Production Frontier: Application to Tunisian Textile, Clothing and Leather Industries," Working Papers 0235, Economic Research Forum, revised 31 Nov 2002.
    11. César Calderón & Alberto Chong, 2004. "Volume and Quality of Infrastructure and the Distribution of Income: An Empirical Investigation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(1), pages 87-106, March.
    12. Wang, Hung-Jen, 2002. "Exogenous cash: testing financing constraints on inventory investment using dynamic panels with additional information from annual reports," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(4), pages 779-802.
    13. Rodríguez, Jesús, 2013. "Determinantes de la demanda de empleo en el sector manufacturero colombiano, 2000-2010," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 79, pages 45-79, June.
    14. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    15. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    16. Hugo Kruiniger, 2002. "On the estimation of panel regression models with fixed effects," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C6-2, International Conferences on Panel Data.
    17. EKINCI, Ramazan & TUZUN,Osman & CEYLAN, Fatih, 2020. "The Relationship Between Inflation And Economic Growth: Experiences Of Some Inflation Targeting Countries," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 24(1), pages 6-20, March.
    18. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
    19. Tue Gørgens & Christopher L. Skeels & Allan H. Würtz, 2009. "Efficient Estimation of Non-Linear Dynamic Panel Data Models with Application to Smooth Transition Models," CREATES Research Papers 2009-51, Department of Economics and Business Economics, Aarhus University.
    20. Montes-Rojas Gabriel & Sosa-Escudero Walter & Zincenko Federico, 2020. "Level-Based Estimation of Dynamic Panel Models," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-23, January.
    21. Elhorst, J. Paul, 2003. "Unconditional maximum likelihood estimation of dynamic models for spatial panels," Research Report 03C27, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    22. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Large sample properties of an IV estimator based on the Ahn and Schmidt moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-37-19, University of Passau, Faculty of Business and Economics.
    23. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Practical aspects of using quadratic moment conditions in linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-38-19, University of Passau, Faculty of Business and Economics.
    24. Hugo Kruiniger, 2006. "Quasi ML Estimation of the Panel AR(1) Model with Arbitrary Initial Conditions," Working Papers 582, Queen Mary University of London, School of Economics and Finance.
    25. Chen, Chien-Ming & van Dalen, Jan, 2010. "Measuring dynamic efficiency: Theories and an integrated methodology," European Journal of Operational Research, Elsevier, vol. 203(3), pages 749-760, June.
    26. César Calderón & Alberto Chong & Norman Loayza, 1999. "Determinants of Current Account Deficits in Developing Countries," Working Papers Central Bank of Chile 51, Central Bank of Chile.
    27. Mouelhi, Rim Ben Ayed, 2007. "Impact of trade liberalization on firm's labour demand by skill: The case of Tunisian manufacturing," Labour Economics, Elsevier, vol. 14(3), pages 539-563, June.
    28. Doran, Howard E. & Schmidt, Peter, 2006. "GMM estimators with improved finite sample properties using principal components of the weighting matrix, with an application to the dynamic panel data model," Journal of Econometrics, Elsevier, vol. 133(1), pages 387-409, July.
    29. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2012. "Asymmetric capital structure adjustments: New evidence from dynamic panel threshold models," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 465-482.
    30. Muhammad Farhan Bashir & Benjiang MA & Luqman Shahzad & Biao Liu & Qiangjia Ruan, 2021. "China's quest for economic dominance and energy consumption: Can Asian economies provide natural resources for the success of One Belt One Road?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 570-587, April.
    31. Wijayana, Singgih & Gray, Sidney J., 2018. "Capital market consequences of cultural influences on earnings: The case of cross-listed firms in the U.S. stock market," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 134-147.
    32. Chien, Chih-Chung & Chen, Shikuan & Chang, Ming-Jen, 2023. "Financial constraints on credit ratings and cash-flow sensitivity," International Review of Financial Analysis, Elsevier, vol. 88(C).
    33. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    34. Chirok Han & Hyoungjong Kim, 2023. "Dynamic panel GMM estimators with improved finite sample properties using parametric restrictions for dimension reduction," Empirical Economics, Springer, vol. 64(6), pages 2589-2610, June.
    35. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    36. Chen, Yanjing, 2009. "Agglomeration and location of foreign direct investment: The case of China," China Economic Review, Elsevier, vol. 20(3), pages 549-557, September.
    37. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    38. Hailiang Chen & Prabuddha De & Yu Jeffrey Hu, 2015. "IT-Enabled Broadcasting in Social Media: An Empirical Study of Artists’ Activities and Music Sales," Information Systems Research, INFORMS, vol. 26(3), pages 513-531, September.
    39. Cheng, Leonard K. & Kwan, Yum K., 2000. "What are the determinants of the location of foreign direct investment? The Chinese experience," Journal of International Economics, Elsevier, vol. 51(2), pages 379-400, August.
    40. Shi, Lei & Lu, Jun & Zhao, Jianhua & Chen, Gemai, 2016. "Case deletion diagnostics for GMM estimation," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 176-191.
    41. Stephen Bond & Céline Nauges & Frank Windmeijer, 2005. "Unit roots: identification and testing in micro panels," CeMMAP working papers CWP07/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    42. Céline Nauges & Alban Thomas, 2003. "Long-run Study of Residential Water Consumption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(1), pages 25-43, September.
    43. De Blander, Rembert, 2020. "Iterative estimation correcting for error auto-correlation in short panels, applied to lagged dependent variable models," Econometrics and Statistics, Elsevier, vol. 15(C), pages 3-29.
    44. David Pacini & Frank Windmeijer, 2015. "Moment Conditions for AR(1) Panel Data Models with Missing Outcomes," Bristol Economics Discussion Papers 15/660, School of Economics, University of Bristol, UK.
    45. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.
    46. Alberto Chong & César Calderón, 2001. "Volumen y calidad de la infraestructura y la distribución del ingreso: investigación empírica," Research Department Publications 4264, Inter-American Development Bank, Research Department.
    47. Kruiniger, Hugo, 2008. "Maximum likelihood estimation and inference methods for the covariance stationary panel AR(1)/unit root model," Journal of Econometrics, Elsevier, vol. 144(2), pages 447-464, June.
    48. Kyuho Jin & Joowon Lee & Sung Min Hong, 2021. "The Dark Side of Managing for the Long Run: Examining When Family Firms Create Value," Sustainability, MDPI, vol. 13(7), pages 1-20, March.
    49. Nannan Yuan & Shigeyuki Hamori, 2014. "Crowding-out effects of affordable and unaffordable housing in China, 1999-2010," Applied Economics, Taylor & Francis Journals, vol. 46(35), pages 4318-4333, December.

  30. Lee, Dongin & Schmidt, Peter, 1996. "On the power of the KPSS test of stationarity against fractionally-integrated alternatives," Journal of Econometrics, Elsevier, vol. 73(1), pages 285-302, July.
    See citations under working paper version above.
  31. Tieslau, Margie A. & Schmidt, Peter & Baillie, Richard T., 1996. "A minimum distance estimator for long-memory processes," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 249-264.

    Cited by:

    1. Aaron D. Smallwood & Paul M. Beaumont, 2002. "An Asymptotic MLE Approach to Modelling Multiple Frequency GARMA Models," Computing in Economics and Finance 2002 285, Society for Computational Economics.
    2. Andersen, Torben G & Bollerslev, Tim, 1997. "Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns," Journal of Finance, American Finance Association, vol. 52(3), pages 975-1005, July.
    3. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    4. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    5. Wright, Jonathan H., 1999. "A new estimator of the fractionally integrated stochastic volatility model," Economics Letters, Elsevier, vol. 63(3), pages 295-303, June.
    6. Baillie, Richard T. & Kapetanios, George & Papailias, Fotis, 2014. "Bandwidth selection by cross-validation for forecasting long memory financial time series," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 129-143.
    7. Terence Tai-Leung, Chong, 1998. "Estimating the Differencing Parameter Via the Partial Autocorrelation Function," Departmental Working Papers _088, Chinese University of Hong Kong, Department of Economics.
    8. D. S. Poskitt, 2005. "Autoregressive Approximation in Nonstandard Situations: The Non-Invertible and Fractionally Integrated Cases," Monash Econometrics and Business Statistics Working Papers 16/05, Monash University, Department of Econometrics and Business Statistics.
    9. Hsieh, Meng-Chen & Hurvich, Clifford M. & Soulier, Philippe, 2007. "Asymptotics for duration-driven long range dependent processes," Journal of Econometrics, Elsevier, vol. 141(2), pages 913-949, December.
    10. BOUDT, Kris & CROUX, Christophe & LAURENT, Sabéastien, 2011. "Robust estimation of intraweek periodicity in volatility and jump detection," LIDAM Reprints CORE 2411, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Martin, V.L. & Wilkins, N.P., 1997. "Indirect Estimation of Arfima and Varfima Models," Department of Economics - Working Papers Series 547, The University of Melbourne.
    12. Laura Mayoral & Juan J. Dolado & Jesús Gonzalo, 2003. "Long-range dependence in Spanish political opinion poll series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 137-155.
    13. Jensen, Mark J., 2000. "An alternative maximum likelihood estimator of long-memory processes using compactly supported wavelets," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 361-387, March.
    14. Abdelouahab Bibi & Ahmed Ghezal, 2016. "On periodic time-varying bilinear processes: structure and asymptotic inference," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(3), pages 395-420, August.
    15. Terence Tai-Leung Chong, 2007. "Estimating the Fractionally Integrated Model with a Break in the Differencing Parameter," Economics Bulletin, AccessEcon, vol. 3(67), pages 1-10.
    16. Richard T. Baillie & Dooyeon Cho & Seunghwa Rho, 2023. "Approximating long-memory processes with low-order autoregressions: Implications for modeling realized volatility," Empirical Economics, Springer, vol. 64(6), pages 2911-2937, June.
    17. Proietti, Tommaso & Luati, Alessandra, 2015. "The generalised autocovariance function," Journal of Econometrics, Elsevier, vol. 186(1), pages 245-257.
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    1. So, Beong Soo & Shin, Dong Wan, 2001. "An invariant sign test for random walks based on recursive median adjustment," Journal of Econometrics, Elsevier, vol. 102(2), pages 197-229, June.
    2. Tilak Abeysinghe & Gulasekaran Rajaguru, 2009. "A Gaussian Test for Cointegration," Microeconomics Working Papers 22013, East Asian Bureau of Economic Research.
    3. Jang, Myoung Jin & Shin, Dong Wan, 2005. "Comparison of panel unit root tests under cross sectional dependence," Economics Letters, Elsevier, vol. 89(1), pages 12-17, October.
    4. Scott E. Harrington & Tong Yu, 2003. "Do Property‐Casualty Insurance Underwriting Margins Have Unit Roots?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 70(4), pages 715-733, December.
    5. Richard T. Baillie & Dooyeon Cho & Seunghwa Rho, 2023. "Approximating long-memory processes with low-order autoregressions: Implications for modeling realized volatility," Empirical Economics, Springer, vol. 64(6), pages 2911-2937, June.
    6. Ismael Sánchez, 2004. "Implementing unit roost tests in ARMA models of unknow order," Statistical Papers, Springer, vol. 45(2), pages 249-266, April.
    7. Sanchez, Ismael, 1998. "Testing for Unit Roots with Prediction Errors," University of California at San Diego, Economics Working Paper Series qt8pc6n1j8, Department of Economics, UC San Diego.
    8. Saikkonen, Pentti & Lütkepohl, Helmut, 1999. "Testing for unit roots in time series with level shifts," SFB 373 Discussion Papers 1999,27, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    9. Shin, Dong Wan & So, Beong Soo, 2002. "Recursive mean adjustment and tests for nonstationarities," Economics Letters, Elsevier, vol. 75(2), pages 203-208, April.
    10. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    11. James Oehmke & David Schimmelpfennig, 2004. "Quantifying Structural Change in U.S. Agriculture: The Case of Research and Productivity," Journal of Productivity Analysis, Springer, vol. 21(3), pages 297-315, May.
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    13. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.

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    9. Benoît Mulkay & Bronwyn H, Hall & Jacques Mairesse, 2000. "Firm Level Investment and R&D in France and the United States : A Comparison," Working Papers 2000-49, Center for Research in Economics and Statistics.
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    2. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.

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    1. Hahn, Jinyong, 1997. "Efficient estimation of panel data models with sequential moment restrictions," Journal of Econometrics, Elsevier, vol. 79(1), pages 1-21, July.

  43. Cornwell, Christopher & Schmidt, Peter & Wyhowski, Donald, 1992. "Simultaneous equations and panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 151-181.

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    37. Dennis Gaus & Heike Link, 2020. "Economic Effects of Transportation Infrastructure Quantity and Quality: A Study of German Counties," Discussion Papers of DIW Berlin 1848, DIW Berlin, German Institute for Economic Research.
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    39. Baltagi, Badi H. & Liu, Long, 2011. "Instrumental variable estimation of a spatial autoregressive panel model with random effects," Economics Letters, Elsevier, vol. 111(2), pages 135-137, May.
    40. Spang, Heather Radach & Arnould, Richard J. & Bazzoli, Gloria J., 2009. "The effect of non-rural hospital mergers and acquisitions: An examination of cost and price outcomes," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 323-342, May.
    41. Davies, Stephen P. & Erickson, Kenneth W. & Vickner, Steven S. & Hoag, Dana L. & Nehring, Richard F., 2005. "An Error-Components Three-Stage Least-Squares Model of Investment Allocation by Farm Households," 2005 Annual meeting, July 24-27, Providence, RI 19249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    42. Mitze, Timo & Stephan, Andreas, 2013. "Simultaneous-equations Analysis in Regional Science and Economic Geography," Working Paper Series in Economics and Institutions of Innovation 309, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    43. Peter Egger, 2008. "On the role of distance for outward FDI," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 375-389, June.
    44. Nigel Driffield & Karl Talyor, 2002. "Domestic wage determination: Regional Spillovers and inward investment," Discussion Papers in Economics 02/12, Division of Economics, School of Business, University of Leicester.
    45. Sickles, Robin C. & Streitwieser, Mary L., 1989. "Technical Inefficiency And Productive Decline In The U.S. Interstate Natural Gas Pipline Industry Under The Natural Gas Policy Act," Working Papers 89-20, C.V. Starr Center for Applied Economics, New York University.
    46. Egger, Peter & Winner, Hannes, 2005. "Evidence on corruption as an incentive for foreign direct investment," European Journal of Political Economy, Elsevier, vol. 21(4), pages 932-952, December.
    47. Shi, Peng, 2012. "Multivariate longitudinal modeling of insurance company expenses," Insurance: Mathematics and Economics, Elsevier, vol. 51(1), pages 204-215.
    48. Caplan, Arthur J. & Gilbert, John & Chatterjee, Devalina, 2013. "Using Field-level Characteristics as Proxy Measures to Test for the Presence of Economies of Scale in Nonpoint Pollution Control," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 42(2), pages 1-22, August.
    49. Mario D. Tello, 2020. "Political Economy Approach of Trade Barriers: The Case of Peruvian’s Trade Liberalization," Documentos de Trabajo / Working Papers 2020-486, Departamento de Economía - Pontificia Universidad Católica del Perú.
    50. Mário Jorge Mendonça & Paulo R. A. Loureiro & Antônio Nascimento & Roberto Ellery, 2021. "Assessment of the effect of broadband expansion on the economy reviewed," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2414-2432, November.
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    54. Miguel Manjon, 2007. "Does the proxy for shareholders' control make a difference in firm-performance regressions? Evidence from a blockholder system of corporate governance," Applied Economics Letters, Taylor & Francis Journals, vol. 14(6), pages 445-449.
    55. Georgios Kolias & Nikolaos Arnis & Kostas Karamanis, 2020. "The Simultaneous Determination of Cash Conversion Cycle Components," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 19(2), pages 311-332, June.
    56. Jaya Krishnakumar, 2002. "A SUR-EC-AR System Gravity Model of Trade," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B4-4, International Conferences on Panel Data.
    57. Juan González-Alegre, 2015. "Does fiscal decentralization affect the effectiveness of intergovernmental grants? European regional policy and Spanish autonomous regions," Papers in Regional Science, Wiley Blackwell, vol. 94(4), pages 817-847, November.
    58. Brian Knight, 2002. "Endogenous Federal Grants and Crowd-out of State Government Spending: Theory and Evidence from the Federal Highway Aid Program," American Economic Review, American Economic Association, vol. 92(1), pages 71-92, March.
    59. Peter Egger & Michael Pfaffermayr, 2002. "Long Run and Short Effects in Static Panel Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-2, International Conferences on Panel Data.
    60. Saief Eddine, Ayouni & Fakhri, Issaoui & Salem, Brahim, 2014. "Financial liberalization, Foreign Direct investment (FDI) and Economic Growth: A Panel Dynamic Data Validation," MPRA Paper 56386, University Library of Munich, Germany.
    61. Laurence Rioux, 2001. "Salaire de réserve, allocation chômage dégressive et revenu minimum d'insertion," Économie et Statistique, Programme National Persée, vol. 346(1), pages 137-160.
    62. Mitze, Timo & Alecke, Björn & Untiedt, Gerhard, 2008. "Trade, FDI and Cross-Variable Linkages: A German (Macro-)Regional Perspective," MPRA Paper 12245, University Library of Munich, Germany.
    63. Mr. Alessandro Rebucci, 2003. "On the Heterogeneity Bias of Pooled Estimators in Stationary VAR Specifications," IMF Working Papers 2003/073, International Monetary Fund.
    64. Roberto ESPOSTI, 2007. "On the Decline of Agriculture. Evidence from Italian Regions in the Post-WWII Period," Working Papers 300, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
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    66. Tsvetan Tsvetanov & Lingqiao Qi & Deep Mukherjee & Farhed Shah & Boris Bravo-Ureta, 2016. "Climate Change And Land Use In Southeastern U.S.: Did The “Dumb Farmer” Get It Wrong?," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-35, August.

  44. Schmidt, Peter & Lee, Junsoo, 1991. "A modification of the Schmidt-Phillips unit root test," Economics Letters, Elsevier, vol. 36(3), pages 285-289, July.
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  45. Kim, Kiwhan & Schmidt, Peter, 1990. "Some evidence on the accuracy of Phillips-Perron tests using alternative estimates of nuisance parameters," Economics Letters, Elsevier, vol. 34(4), pages 345-350, December.

    Cited by:

    1. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.
    2. Md Kamal Hossain & Md Shamim Hossain, 2023. "Causal Interaction between Foreign Direct Investment Inflows and China’s Economic Growth," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    3. David I. Stern & Robert K. Kaufmann, 1997. "Time series properties of global climate variables: detection and attribution of climate change," Working Papers in Ecological Economics 9702, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    4. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    5. Dergiades, Theologos & Kaufmann, Robert K. & Panagiotidis, Theodore, 2016. "Long-run changes in radiative forcing and surface temperature: The effect of human activity over the last five centuries," Journal of Environmental Economics and Management, Elsevier, vol. 76(C), pages 67-85.
    6. Zou, Nan & Politis, Dimitris N., 2019. "Linear process bootstrap unit root test," Statistics & Probability Letters, Elsevier, vol. 145(C), pages 74-80.
    7. Lee, Junsoo, 1996. "On the power of stationarity tests using optimal bandwidth estimates," Economics Letters, Elsevier, vol. 51(2), pages 131-137, May.
    8. Burke, S. P., 1996. "Data-dependent selection of the lag truncation parameter in unit root tests of the Phillips-Perron type," Economics Letters, Elsevier, vol. 50(3), pages 315-321, March.

  46. Schmidt, Peter, 1990. "Three-stage least squares with different instruments for different equations," Journal of Econometrics, Elsevier, vol. 43(3), pages 389-394, March.

    Cited by:

    1. Woodgate, Ryan, 2021. "Profit-led in effect or in mere appearance? Estimating the Irish demand regime given the influence of multinational enterprises," IPE Working Papers 154/2021, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    2. So Im, Kyung & Ahn, Seung C. & Schmidt, Peter & Wooldridge, Jeffrey M., 1999. "Efficient estimation of panel data models with strictly exogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 93(1), pages 177-201, November.
    3. Biørn, Erik, 2017. "Identification, Instruments, Omitted Variables, and Rudimentary Models: Fallacies in the ‘Experimental Approach’ to Econometrics," Memorandum 13/2017, Oslo University, Department of Economics.
    4. Serge Garcia & Alban Thomas, 2001. "The Structure of Municipal Water Supply Costs: Application to a Panel of French Local Communities," Journal of Productivity Analysis, Springer, vol. 16(1), pages 5-29, July.
    5. Erik Biørn, 2000. "Panel Data With Measurement Errors: Instrumental Variables And Gmm Procedures Combining Levels And Differences," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 391-424.
    6. Ando, Amy Whritenour, 1997. "The Price-Elasticity of Stumpage Sales from Federal Forests," Discussion Papers 10456, Resources for the Future.
    7. Alain Bousquet & Raja Chakir & Norbert Ladoux, 2002. "Modeling Corner Solutions with Panel Data: Application to Industrial Energy Demand in France," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C3-2, International Conferences on Panel Data.
    8. Henningsen, Arne & Hamann, Jeff D., 2007. "systemfit: A Package for Estimating Systems of Simultaneous Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i04).
    9. Entrop, Oliver & Fischer, Georg, 2019. "Hedging costs and joint determinants of premiums and spreads in structured financial products," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-34-19, University of Passau, Faculty of Business and Economics.
    10. Oliver Entrop & Georg Fischer, 2020. "Hedging costs and joint determinants of premiums and spreads in structured financial products," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1049-1071, July.
    11. Wooldridge, Jeffrey M., 1996. "Estimating systems of equations with different instruments for different equations," Journal of Econometrics, Elsevier, vol. 74(2), pages 387-405, October.
    12. John Ashton & Andros Gregoriou & Jerome V. Healy, 2013. "The relative influence of price and choice factors on retail deposit quantities," Working Papers 13006, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    13. Otchere, Isaac & Vong, Anna P.I., 2016. "Venture capitalist participation and the performance of Chinese IPOs," Emerging Markets Review, Elsevier, vol. 29(C), pages 226-245.
    14. Andros Gregoriou, 2013. "Liquidity Constraints and Investment Opportunities: New Evidence from Large and Small Businesses in the UK," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 20(2), pages 269-279, July.
    15. Sagarika Mishra & Michael T. Ewing & Holly B. Cooper, 2022. "Artificial intelligence focus and firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1176-1197, November.
    16. Sugata Ghosh & Andros Gregoriou & Anirban Mitra, 2013. "On the Role of Democracy in the Ethnicity-Growth Relationship: Theory and Evidence," CEDI Discussion Paper Series 13-02, Centre for Economic Development and Institutions(CEDI), Brunel University.
    17. Gregoriou, Andros & Nguyen, Ngoc Dung, 2010. "Stock liquidity and investment opportunities: New evidence from FTSE 100 index deletions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(3), pages 267-274, July.
    18. Henningsen, Arne & Hamann, Jeff, 2006. "systemfit: A Package to Estimate Simultaneous Equation Systems in R," MPRA Paper 1421, University Library of Munich, Germany.
    19. Chakravarty, Sugato & Hegde, Prasad, 2022. "Firm size and the effectiveness of busy boards in an emerging economy," Global Finance Journal, Elsevier, vol. 53(C).
    20. Ryan Woodgate, 2022. "Profit-led in effect or in appearance alone? Estimating the Irish demand regime given the influence of multinational enterprises," Review of Evolutionary Political Economy, Springer, vol. 3(2), pages 319-350, July.
    21. Cameron McIntosh, 2014. "The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 243-250, January.
    22. Mitze, Timo & Alecke, Björn & Untiedt, Gerhard, 2008. "Trade, FDI and Cross-Variable Linkages: A German (Macro-)Regional Perspective," MPRA Paper 12245, University Library of Munich, Germany.
    23. Deepa, L. & Pinjari, Abdul Rawoof & Nirmale, Sangram Krishna & Biswas, Mehek & Srinivasan, Karthik K., 2023. "The adverse impact of headway variability on bus transit ridership: Evidence from Bengaluru, India," Transport Policy, Elsevier, vol. 141(C), pages 343-356.

  47. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    See citations under working paper version above.
  48. Guilkey, David K. & Schmidt, Peter, 1989. "Extended tabulations for Dickey-Fuller tests," Economics Letters, Elsevier, vol. 31(4), pages 355-357, December.

    Cited by:

    1. Carmen M. Reinhart & Peter Wickham, 1994. "Commodity Prices: Cyclical Weakness or Secular Decline?," IMF Staff Papers, Palgrave Macmillan, vol. 41(2), pages 175-213, June.
    2. Mr. Dhaneshwar Ghura, 1997. "Private Investment and Endogenous Growth: Evidence From Cameroon," IMF Working Papers 1997/165, International Monetary Fund.
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    3. Brümmer, Bernhard & Glauben, Thomas & Lu, Wencong C., 2002. "Policy Reform and Productivity Change in Chinese Agriculture: A Distance Function Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24779, European Association of Agricultural Economists.
    4. Paris, Quirino & Caputo, Michael R., 2004. "Efficient Estimates of a Model of Production and Cost," Working Papers 93742, University of California, Davis, Department of Agricultural and Resource Economics.
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    6. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    7. Marinho, Alexandre & Cardoso, Simone de Souza & Almeida, Vívian Vicente de, 2012. "Avaliação comparativa de sistemas de saúde com a utilização de fronteiras estocásticas: Brasil e OCDE," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(1), March.
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    1. Dufour, J.M. & Khalaf, L., 2000. "Simulation-Based Finite and Large Sample Tests in Multivariate Regressions," Cahiers de recherche 2000-10, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Javed Iqbal & Robert Brooks & Don U.A. Galagedera, 2008. "Multivariate tests of asset pricing: Simulation evidence from an emerging market," Monash Econometrics and Business Statistics Working Papers 2/08, Monash University, Department of Econometrics and Business Statistics.
    3. Lozano, Martín & Rubio, Gonzalo, 2011. "Evaluating alternative methods for testing asset pricing models with historical data," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 136-146, January.
    4. Kenneth Stewart, 1997. "Exact testing in multivariate regression," Econometric Reviews, Taylor & Francis Journals, vol. 16(3), pages 321-352.
    5. Pierluigi Balduzzi & Cesare Robotti, 2005. "Mimicking portfolios, economic risk premia, and tests of multi-beta models," FRB Atlanta Working Paper 2005-04, Federal Reserve Bank of Atlanta.
    6. Linda Allen & Julapa Jagtiani, 1996. "Risk and Market Segmentation in Financial Intermediaries’ Returns," Center for Financial Institutions Working Papers 96-36, Wharton School Center for Financial Institutions, University of Pennsylvania.
    7. Shanken, Jay & Weinstein, Mark I., 2006. "Economic forces and the stock market revisited," Journal of Empirical Finance, Elsevier, vol. 13(2), pages 129-144, March.
    8. Saban Celik, 2012. "Theoretical and Empirical Review of Asset Pricing Models:A Structural Synthesis," International Journal of Economics and Financial Issues, Econjournals, vol. 2(2), pages 141-178.
    9. Massimo Guidolin & Martin Lozano & Juan Arismendi Zambrano, "undated". "Multifactor Empirical Asset Pricing Under Higher-Order Moment Variations," Economics Department Working Paper Series n304-20.pdf, Department of Economics, National University of Ireland - Maynooth.
    10. Jay Shanken & Guofu Zhou, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," CEMA Working Papers 275, China Economics and Management Academy, Central University of Finance and Economics.
    11. M. Victoria Esteban, 1997. "Variabilidad predecible en los rendimientos de los activos: Evidencia e implicaciones," Investigaciones Economicas, Fundación SEPI, vol. 21(3), pages 523-542, September.
    12. Grauer, Robert R. & Janmaat, Johannus A., 2009. "On the power of cross-sectional and multivariate tests of the CAPM," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 775-787, May.
    13. Bruce N. Lehmann, 1992. "Empirical Testing of Asset Pricing Models," NBER Working Papers 4043, National Bureau of Economic Research, Inc.

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    1. Peter R. Hartley and Kenneth B. Medlock III, 2013. "Changes in the Operational Efficiency of National Oil Companies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    2. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    3. Massimo Filippini & William Greene, 2014. "Persistent and Transient Productive Inefficiency: A Maximum Simulated Likelihood Approach," CER-ETH Economics working paper series 14/197, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    4. Seufert, Juergen Heinz & Arjomandi, Amir & Dakpo, K. Hervé, 2017. "Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 52-68.
    5. Hao, James C.J. & Chou, Lin-Yhi, 2005. "The estimation of efficiency for life insurance industry: The case in Taiwan," Journal of Asian Economics, Elsevier, vol. 16(5), pages 847-860, October.
    6. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-25, April.
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    1. Danuse Nerudova & Marian Dobranschi, 2019. "Alternative method to measure the VAT gap in the EU: Stochastic tax frontier model approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-38, January.
    2. Michael Fritsch & Viktor Slavtchev, 2007. "What determines the efficiency of regional innovation systems?," Jena Economics Research Papers 2007-006, Friedrich-Schiller-University Jena.
    3. Djuraeva, Mukhayyo & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2023. "The impact of agricultural extension type and form on technical efficiency under transition: An empirical assessment of wheat production in Uzbekistan," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 203-221.
    4. Andrew Street, 2003. "How much confidence should we place in efficiency estimates?," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 895-907, November.
    5. Xu Guo & Gao-Rong Li & Michael McAleer & Wing-Keung Wong, 2017. "Specification Testing of Production in a Stochastic Frontier Model," Tinbergen Institute Discussion Papers 17-097/III, Tinbergen Institute.
    6. Hayatullah Ahmadzai, 2022. "Hope for Change: Is Diversifying Production Portfolios an Ideal Strategy to Boost Farming Efficiency in Afghanistan?," Progress in Development Studies, , vol. 22(1), pages 7-31, January.
    7. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2011. "When, where and how to perform efficiency estimation," Cologne Graduate School Working Paper Series 02-06, Cologne Graduate School in Management, Economics and Social Sciences.
    8. Toba Stephen Olasehinde & Fangbin Qiao & Shiping Mao, 2022. "Performance of Nigerian Rice Farms from 2010 to 2019: A Stochastic Metafrontier Approach," Agriculture, MDPI, vol. 12(7), pages 1-13, July.
    9. Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
    10. Adom, Philip Kofi & Adams, Samuel, 2020. "Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies," World Development, Elsevier, vol. 129(C).
    11. Daniel Solís & Larry Perruso & Julio del Corral & Brent Stoffle & David Letson, 2013. "Measuring the initial economic effects of hurricanes on commercial fish production: the US Gulf of Mexico grouper (Serranidae) fishery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 271-289, March.
    12. Debdas Bandyopadhyay & Arabinda Das, 2006. "On measures of technical inefficiency and production uncertainty in stochastic frontier production model with correlated error components," Journal of Productivity Analysis, Springer, vol. 26(2), pages 165-180, October.
    13. Hung-pin Lai & Cliff Huang, 2010. "Likelihood ratio tests for model selection of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 34(1), pages 3-13, August.
    14. Jolex, Aubrey, 2022. "Influence of agricultural extension services on technical efficiency of maize farmers in Malawi," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(1), March.
    15. Adem Kelifa, 2023. "Review of Tobit, Heckman and double hurdle econometric models: supported with evidences from the studies conducted in Ethiopia," SN Business & Economics, Springer, vol. 3(6), pages 1-14, June.
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    29. TSIBOE, Francis & ASEETE, Paul & DJOKOTO, Justice G., 2021. "Spatiotemporal Evaluation Of Dry Beans And Groundnut Production Technology And Inefficiency In Ghana," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(1), March.
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    40. Alecos Papadopoulos, 2015. "The half-normal specification for the two-tier stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 43(2), pages 225-230, April.
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    50. Salam, Md. Abdus & Rahman, Sanzidur & Anik, Asif Reza & Sharna, Shaima Chowdhury, 2023. "Exploring competitiveness of surface water versus ground water irrigation and their impacts on rice productivity and efficiency: An empirical analysis from Bangladesh," Agricultural Water Management, Elsevier, vol. 283(C).
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    1. Lee, Chien-Chiang & Hsieh, Meng-Fen & Yang, Shih-Jui, 2016. "The effects of foreign ownership on competition in the banking industry: The key role of financial reforms," Japan and the World Economy, Elsevier, vol. 37, pages 27-46.
    2. Bernardo Batiz-Lazo & Douglas Wood, 2003. "Corporate strategy for Mexican banks and market contestability," Industrial Organization 0301014, University Library of Munich, Germany.

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    1. Dinghai Xu & Tony S. Wirjanto, 2008. "An Empirical Characteristic Function Approach to VaR under a Mixture of Normal Distribution with Time-Varying Volatility," Working Papers 08008, University of Waterloo, Department of Economics.
    2. Kien Tran, 1998. "Estimating mixtures of normal distributions via empirical characteristic function," Econometric Reviews, Taylor & Francis Journals, vol. 17(2), pages 167-183.
    3. Dinghai Xu, 2009. "The Applications of Mixtures of Normal Distributions in Empirical Finance: A Selected Survey," Working Papers 0904, University of Waterloo, Department of Economics, revised Sep 2009.
    4. Narayanaswamy Balakrishnan & Chengwei Qin, 2019. "First Passage Time of a Lévy Degradation Model with Random Effects," Methodology and Computing in Applied Probability, Springer, vol. 21(1), pages 315-329, March.
    5. Anthony Murphy & Marwan Izzeldin, 2005. "Order Flow, Transaction Clock, and Normality of Asset Returns: A Comment on Ané and Geman (2000)," Finance 0512005, University Library of Munich, Germany.
    6. Michael Rockinger & Maria Semenova, 2005. "Estimation of Jump-Diffusion Process vis Empirical Characteristic Function," FAME Research Paper Series rp150, International Center for Financial Asset Management and Engineering.
    7. Marine Carrasco & Jean-Pierre Florens, 2000. "Efficient GMM Estimation Using the Empirical Characteristic Function," Working Papers 2000-33, Center for Research in Economics and Statistics.
    8. Dinghai Xu & John Knight, 2008. "Continuous Empirical Characteristic Function Estimation of Mixtures of Normal Parameters," Working Papers 08006, University of Waterloo, Department of Economics.
    9. Singleton, Kenneth J., 2001. "Estimation of affine asset pricing models using the empirical characteristic function," Journal of Econometrics, Elsevier, vol. 102(1), pages 111-141, May.
    10. Hodoshima, Jiro & Yamawake, Toshiyuki, 2019. "Comparison of utility indifference pricing and mean-variance approach under a normal mixture distribution with time-varying volatility," Finance Research Letters, Elsevier, vol. 28(C), pages 74-81.
    11. Fusai, Gianluca & Meucci, Attilio, 2008. "Pricing discretely monitored Asian options under Levy processes," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2076-2088, October.
    12. Maria P. Braun & Simos G. Meintanis & Viatcheslav B. Melas, 2008. "Optimal Design Approach to GMM Estimation of Parameters Based on Empirical Transforms," International Statistical Review, International Statistical Institute, vol. 76(3), pages 387-400, December.

  59. Thomson, Michael & Schmidt, Peter, 1982. "A Note on the Comparison of the Mean Square Error of Inequality Constrained Least Squares and Other Related Estimators," The Review of Economics and Statistics, MIT Press, vol. 64(1), pages 174-176, February.

    Cited by:

    1. Danilov, D.L. & Magnus, J.R., 2001. "On the Harm that Pretesting Does," Discussion Paper 2001-37, Tilburg University, Center for Economic Research.
    2. Lutz Kilian & Atsushi Inoue, 2004. "Bagging Time Series Models," Econometric Society 2004 North American Summer Meetings 110, Econometric Society.
    3. Kilian, Lutz & Inoue, Atsushi, 2005. "How Useful is Bagging in Forecasting Economic Time Series? A Case Study of US CPI Inflation," CEPR Discussion Papers 5304, C.E.P.R. Discussion Papers.
    4. Danilov, Dmitry & Magnus, J.R.Jan R., 2004. "On the harm that ignoring pretesting can cause," Journal of Econometrics, Elsevier, vol. 122(1), pages 27-46, September.
    5. Ulrike Grömping & Sabine Landau, 2010. "Do not adjust coefficients in Shapley value regression," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(2), pages 194-202, March.

  60. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.

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    1. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    2. Joseph P. Hughes & Julapa Jagtiani & Loretta J. Mester, 2016. "Is Bigger Necessarily Better in Community Banking?," Departmental Working Papers 201604, Rutgers University, Department of Economics.
    3. Dev Vencappa & Paul Fenn & Stephen Diacon, 2013. "Productivity Growth in the European Insurance Industry: Evidence from Life and Non-Life Companies," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 20(2), pages 281-305, July.
    4. Keshvari, Abolfazl & Kuosmanen, Timo, 2013. "Stochastic non-convex envelopment of data: Applying isotonic regression to frontier estimation," European Journal of Operational Research, Elsevier, vol. 231(2), pages 481-491.
    5. Massimo Filippini & William Greene, 2014. "Persistent and Transient Productive Inefficiency: A Maximum Simulated Likelihood Approach," CER-ETH Economics working paper series 14/197, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    6. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    7. Trigo Gamarra, Lucinda, 2008. "The effects of liberalization and deregulation on the performance of financial institutions: The case of the German life insurance market," Thuenen-Series of Applied Economic Theory 93, University of Rostock, Institute of Economics.
    8. Chun-Chu Liu, 2008. "Evaluating the operational efficiency of major ports in the Asia-Pacific region using data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 40(13), pages 1737-1743.
    9. Danuse Nerudova & Marian Dobranschi, 2019. "Alternative method to measure the VAT gap in the EU: Stochastic tax frontier model approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-38, January.
    10. António Afonso & Miguel St. Aubyn, 2005. "Non-parametric approaches to education and health efficiency in OECD countries," Journal of Applied Economics, Universidad del CEMA, vol. 8, pages 227-246, November.
    11. Hasan, Iftekhar & Lozano-Vivas, Ana, 2002. "Organizational Form and Expense Preference: Spanish Experience," Bulletin of Economic Research, Wiley Blackwell, vol. 54(2), pages 135-150, April.
    12. Hao, James C.J. & Chou, Lin-Yhi, 2005. "The estimation of efficiency for life insurance industry: The case in Taiwan," Journal of Asian Economics, Elsevier, vol. 16(5), pages 847-860, October.
    13. Cristina Polo & Julián Ramajo & Alejandro Ricci‐Risquete, 2021. "A stochastic semi‐non‐parametric analysis of regional efficiency in the European Union," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 7-24, February.
    14. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-25, April.
    15. Orea, Luis & Growitsch, Christian & Jamasb, Tooraj, 2012. "Using Supervised Environmental Composites in Production and Efficiency Analyses: An Application to Norwegian Electricity Networks," Efficiency Series Papers 2012/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    16. Coelli, T. J., 1995. "Recent Developments in Frontier Modelling and Efficiency Measurement," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 148798, Australian Agricultural and Resource Economics Society.
    17. Richard Hofler & John List, 2004. "Valuation on the frontier: Calibrating actual and hypothetical statements of value," Framed Field Experiments 00159, The Field Experiments Website.
    18. Sriram Shankar, 2015. "Efficiency analysis under uncertainty: a simulation study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), pages 171-188, April.
    19. Giannis Karagiannis & Magnus Kellermann, 2019. "Stochastic frontier models with correlated effects," Journal of Productivity Analysis, Springer, vol. 51(2), pages 175-187, June.
    20. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    21. Reddy, G.P. & Reddy, M.N. & Sontakki, B.S. & Prakash, D. Bala, 2008. "Measurement of Efficiency of Shrimp (penaeus monodon) Farmers in Andhra Pradesh," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 63(4), pages 1-5.
    22. Eduardo Fé Rodríguez, 2007. "Exploring a stochastic frontier model when the dependent variable is a count," Economics Discussion Paper Series 0725, Economics, The University of Manchester.
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    6. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
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    9. Croonenbroeck, Carsten & Dahl, Christian Møller, 2014. "Accurate medium-term wind power forecasting in a censored classification framework," Energy, Elsevier, vol. 73(C), pages 221-232.
    10. Carboni, Oliviero A., 2012. "An empirical investigation of the determinants of R&D cooperation: An application of the inverse hyperbolic sine transformation," Research in Economics, Elsevier, vol. 66(2), pages 131-141.
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    12. Gorton, Matthew & Sauer, Johannes & Peshevski, Mile & Bosev, Dane & Shekerinov, Darko & Quarrie, Steve, 2009. "Water Communities in the Republic of Macedonia: An Empirical Analysis of Membership Satisfaction and Payment Behavior," World Development, Elsevier, vol. 37(12), pages 1951-1963, December.
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    44. Pallegedara, Asankha & Mottaleb, Khondoker Abdul, 2018. "Patterns and determinants of private tutoring: The case of Bangladesh households," International Journal of Educational Development, Elsevier, vol. 59(C), pages 43-50.
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    4. Bravo-Ureta, Boris E. & Pinheiro, Antonio E., 1993. "Efficiency Analysis Of Developing Country Agriculture: A Review Of The Frontier Function Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(1), pages 1-14, April.
    5. Manuel Espitia-Escuer & Lucà a Isabel Garcà a-Cebrià n, 2004. "Measuring the Efficiency of Spanish First-Division Soccer Teams," Journal of Sports Economics, , vol. 5(4), pages 329-346, November.
    6. Chukwujekwu A. Obianefo & John N. Ng’ombe & Agness Mzyece & Blessing Masasi & Ngozi J. Obiekwe & Oluchi O. Anumudu, 2021. "Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria," Agriculture, MDPI, vol. 11(12), pages 1-13, December.
    7. Martine Audibert & Xiao Xian Huang & Jacky Mathonnat & Aurore Pelissier & Anning Ma, 2012. "Health Insurance Reform and Efficiency of Township Hospitals in Rural China: An Analysis from Survey Data," CERDI Working papers halshs-00587799, HAL.
    8. Dilling-Hansen, Mogens & Madsen, Erik Strojer & Smith, Valdemar, 2003. "Efficiency, R&D and ownership - some empirical evidence," International Journal of Production Economics, Elsevier, vol. 83(1), pages 85-94, January.
    9. Medhin, Haileselassie A. & Köhlin, Gunnar, 2008. "Soil Conservation and Small-Scale Food Production in Highland Ethiopia: A Stochastic Metafrontier Approach," RFF Working Paper Series dp-08-22-efd, Resources for the Future.
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    21. Toland, Gerald Jr & Schmiesing, Brian H. & Black, J. Roy, 1989. "Analysis and Comparison of Alternative Estimations of Crop Yield Probability Distributions," WAEA/ WFEA Conference Archive (1929-1995) 244976, Western Agricultural Economics Association.
    22. Stephen M. Miller & Terrence M. Clauretie & Thomas M. Springer, 2005. "Economies of Scale and Cost Efficiencies: A Panel-Data Stochastic-Frontier Analysis of Real Estate Investment Trusts," Working papers 2005-21, University of Connecticut, Department of Economics.
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    25. Shaik, Saleem & Allen, Albert J. & Edwards, Seanicaa & Harris, James, 2009. "Market Structure Conduct Performance Hypothesis Revisited Using Stochastic Frontier Efficiency Analysis," Agribusiness & Applied Economics Report 55121, North Dakota State University, Department of Agribusiness and Applied Economics.
    26. Kalyan Chakraborty & Basudeb Biswas & W. Cris Lewis, 2001. "Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 889-905, April.
    27. Justo De Jorge Moreno & Cesar Camison Zorzona & Juan Muro Romero & Leopoldo Laborda Castillo, 2015. "Effects Of Public Capital On Economic Growth And Productivity In Spain During The Period 1980-2007," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 40(4), pages 67-89, December.
    28. Aly, Hassan Y. & Belbase, Krishna P. & Grabowski, Richard & Kraft, Steven E., 1987. "The Technical Efficiency Of Illinois Grain Farms: An Application Of A Ray-Homothetic Production Function," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(1), pages 1-10, July.
    29. B. E. Bravo‐Ureta & L. Rieger, 1990. "Alternative Production Frontier Methodologies And Dairy Farm Efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(2), pages 215-226, May.
    30. Mohamed Chaffai, 1998. "Estimation des inefficiences techniques et allocatives des banques de dépôts tunisiennes : une frontière de coût fictif," Économie et Prévision, Programme National Persée, vol. 136(5), pages 117-129.
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    2. Kevin Cullinane & Dong-Wook Song, 2003. "A stochastic frontier model of the productive efficiency of Korean container terminals," Applied Economics, Taylor & Francis Journals, vol. 35(3), pages 251-267.

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    8. He, Xi & Lopez, Rigoberto A. & Liu, Yizao, 2015. "Substitution between Online and Offline Advertising: Evidence from the Carbonated Soft Drink Industry," Working Papers 37, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
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    19. Petri Rouvinen, 2004. "Is Technology Policy Practised as It Is Preached," Finnish Economic Papers, Finnish Economic Association, vol. 17(2), pages 51-62, Autumn.
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    21. Gori, Filippo, 2018. "Dissecting the ‘doom loop’: the bank-sovereign credit risk nexus during the US debt ceiling crisis," MPRA Paper 87994, University Library of Munich, Germany.
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    3560. Tateishi, Henrique Ryosuke & Bragagnolo, Cassiano & Almeida, Alexandre Nunes de, 2021. "Forest, agriculture and land conversion: Environmental efficiency in Brazilian Amazon rainforest," Forest Policy and Economics, Elsevier, vol. 133(C).
    3561. Igbekele Ajibefun & Adebiyi Daramola & Abiodun Falusi, 2006. "Technical efficiency of small scale farmers: An application of the stochastic frontier production function to rural and urban farmers in Ondo State, Nigeria," International Economic Journal, Taylor & Francis Journals, vol. 20(1), pages 87-107.
    3562. Annaert, Jan & van den Broeck, Julien & Vander Vennet, Rudi, 2003. "Determinants of mutual fund underperformance: A Bayesian stochastic frontier approach," European Journal of Operational Research, Elsevier, vol. 151(3), pages 617-632, December.
    3563. Bolli, Thomas & Olivares, Maria & Bonaccorsi, Andrea & Daraio, Cinzia & Aracil, Adela Garcia & Lepori, Benedetto, 2016. "The differential effects of competitive funding on the production frontier and the efficiency of universities," Economics of Education Review, Elsevier, vol. 52(C), pages 91-104.
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    1. MacKinnon, J G, 1989. "Heteroskedasticity-Robust Tests for Structural Change," Empirical Economics, Springer, vol. 14(2), pages 77-92.
    2. Gebrenegus Ghilagaber, 2004. "Another Look at Chow's Test for the Equality of Two Heteroscedastic Regression Models," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(1), pages 81-93, February.
    3. Su, Haiyan & Liang, Hua, 2010. "An empirical likelihood-based method for comparison of treatment effects--Test of equality of coefficients in linear models," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 1079-1088, April.
    4. Pedro Bação, 2006. "The Performance of Structural Change Tests," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(4), pages 611-628, August.
    5. Elbert Dijkgraaf & Raymond Gradus, 2004. "Cost savings of contracting out refuse collection," Public Economics 0409002, University Library of Munich, Germany.
    6. Ali F. Darrat, 1985. "Does Anticipated Fiscal Policy Matter? The Italian Evidence," Public Finance Review, , vol. 13(3), pages 339-352, July.
    7. Darrat, Ali F. & Al-Mutawa, Ahmed, 1996. "Modelling money demand in the United Arab Emirates," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(1), pages 65-87.
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    9. Maasoumi, Esfandiar & Zaman, Asad & Ahmed, Mumtaz, 2010. "Tests for structural change, aggregation, and homogeneity," Economic Modelling, Elsevier, vol. 27(6), pages 1382-1391, November.
    10. Lehner, Hansjörg & Möller, Joachim, 1981. "Eine Stabilitätsuntersuchung kurzfristiger Beschäftigungsfunktionen mit Hilfe von switching regressions," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 14(1), pages 39-50.
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    16. Cheng Fang & Frank H. Fuller, 1998. "Feed-Grain Consumption by Traditional Pork-Producing Households in China," Food and Agricultural Policy Research Institute (FAPRI) Publications (archive only) 98-wp203, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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    1. Pascual, Lorenzo & Ruiz Ortega, Esther & Fresoli, Diego Eduardo, 2011. "Bootstrap forecast of multivariate VAR models without using the backward representation," DES - Working Papers. Statistics and Econometrics. WS ws113426, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "A package for analytic simulation of econometric models," MPRA Paper 24134, University Library of Munich, Germany.
    3. David F. Hendry & Michael P. Clements, 1994. "Can Econometrics Improve Economic Forecasting?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 267-298, September.
    4. Bianchi, Carlo & Calzolari, Giorgio & Brillet, Jean-Louis, 1987. "Measuring forecast uncertainty : A review with evaluation based on a macro model of the French economy," International Journal of Forecasting, Elsevier, vol. 3(2), pages 211-227.
    5. Bianchi, Carlo & Calzolari, Giorgio, 1979. "Simulation of a nonlinear econometric model," MPRA Paper 24440, University Library of Munich, Germany, revised 1980.
    6. Richard T. Baillie & George Kapetanios & Fotis Papailias, 2017. "Inference for impulse response coefficients from multivariate fractionally integrated processes," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 60-84, March.
    7. Yock Y. Chong & David F. Hendry, 1986. "Econometric Evaluation of Linear Macro-Economic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(4), pages 671-690.
    8. Beutner, Eric & Heinemann, Alexander & Smeekes, Stephan, 2017. "A Justification of Conditional Confidence Intervals," Research Memorandum 023, Maastricht University, Graduate School of Business and Economics (GSBE).
    9. Bao Yong & Zhang Ru, 2013. "Estimation Bias and Feasible Conditional Forecasts from the First-Order Moving Average Model," Journal of Time Series Econometrics, De Gruyter, vol. 6(1), pages 63-80, July.
    10. Calzolari, Giorgio, 1987. "La varianza delle previsioni nei modelli econometrici [Forecast variance in econometric models]," MPRA Paper 23866, University Library of Munich, Germany.
    11. Calzolari, Giorgio, 1979. "Stochastic simulation experiments on Model 5 of Bonn University," MPRA Paper 24456, University Library of Munich, Germany.
    12. Bianchi, Carlo & Calzolari, Giorgio, 1978. "La varianza dell'errore di previsione nei modelli econometrici: applicazione ad un modello nonlineare dell'economia italiana [The variance of forecast errors in econometric models: application to a," MPRA Paper 29121, University Library of Munich, Germany.

  79. Schmidt, Peter, 1977. "Estimation of seemingly unrelated regressions with unequal numbers of observations," Journal of Econometrics, Elsevier, vol. 5(3), pages 365-377, May.

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    1. Alessandro Gobbi & Tim Willems, 2011. "Identifying US Monetary Policy Shocks through Sign Restrictions in Dollarized Countries," Tinbergen Institute Discussion Papers 11-145/2, Tinbergen Institute.
    2. Gerdie Everaert, 2017. "On the estimation of panel fiscal reaction functions : Heterogeneity or fiscal fatigue?," Working Paper Research 320, National Bank of Belgium.
    3. Patrick Waelbroeck, 2005. "Computational Issues in the Sequential Probit Model: A Monte Carlo Study," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 141-161, October.
    4. Radhey S. Singh & Lichun Wang, 2012. "A Note on Estimation in Seemingly Unrelated Semi-Parametric Regression Models," Journal of Quantitative Economics, The Indian Econometric Society, vol. 10(1), pages 56-69, January.
    5. Olivier Donni & Eleonora Matteazzi, 2011. "On the Importance of Household Production in Collective Models : Evidence from U.S. Data," Working Papers 2011-032, Human Capital and Economic Opportunity Working Group.
    6. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    7. Gray, Wayne B. & Shadbegian, R.J.Ronald J., 2004. "'Optimal' pollution abatement--whose benefits matter, and how much?," Journal of Environmental Economics and Management, Elsevier, vol. 47(3), pages 510-534, May.
    8. Snyder, Ralph D. & Ord, J. Keith & Koehler, Anne B. & McLaren, Keith R. & Beaumont, Adrian N., 2017. "Forecasting compositional time series: A state space approach," International Journal of Forecasting, Elsevier, vol. 33(2), pages 502-512.
    9. Neibergs, J. Shannon, 1998. "Macroeconomic Conditions And Agribusiness Profitability: An Analysis Using Pooled Data," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 1(1), pages 1-15.
    10. Lichun Wang, 2018. "On Seemingly Unrelated Regressions with Linear Restrictions," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 6(4), pages 110-113, April.
    11. Pamela Parrish Peterson, 1980. "A Re-Examination Of Seemingly Unrelated Regressions Methodology Applied To Estimation Of Financial Relationships," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 3(3), pages 297-308, September.
    12. Hugh Rockoff & Michael D. Bordo, 1996. "The Gold Standard as a "Good Housekeeping Seal of Approval"," Departmental Working Papers 199528, Rutgers University, Department of Economics.
    13. Wang, Lichun & Lian, Heng & Singh, Radhey S., 2011. "On efficient estimators of two seemingly unrelated regressions," Statistics & Probability Letters, Elsevier, vol. 81(5), pages 563-570, May.
    14. Henningsen, Arne & Hamann, Jeff D., 2007. "systemfit: A Package for Estimating Systems of Simultaneous Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i04).
    15. Foschi, Paolo & Kontoghiorghes, Erricos J., 2002. "Seemingly unrelated regression model with unequal size observations: computational aspects," Computational Statistics & Data Analysis, Elsevier, vol. 41(1), pages 211-229, November.
    16. Luz María Ferrada & Pilar Zarzosa, 2010. "Diferencias Regionales en la Participación Laboral Femenina en Chile," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 47(136), pages 249-272.
    17. Valerie Mueller & Glenn Sheriff, 2010. "On Hedonic Valuation of Urban Amenities Using Unbalanced Data," Land Economics, University of Wisconsin Press, vol. 86(3).
    18. Anthony W. Lynch & Jessica A. Wachter, 2008. "Using Samples of Unequal Length in Generalized Method of Moments Estimation," NBER Working Papers 14411, National Bureau of Economic Research, Inc.
    19. Hailong Qian & Heather L. Bednarek, 2015. "Partial efficient estimation of SUR models," Economics Bulletin, AccessEcon, vol. 35(1), pages 338-348.
    20. Radhey S. Singh & Lichun Wang, 2011. "Bayes and Empirical Bayes Estimators with Their Unique Simpler Forms and Their Superiorities over BLUE in Two Seemingly Unrelated Regressions," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(2), pages 88-103, July.
    21. Andrew J. Patton, 2006. "Estimation of multivariate models for time series of possibly different lengths," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 147-173.
    22. Henningsen, Arne & Hamann, Jeff, 2006. "systemfit: A Package to Estimate Simultaneous Equation Systems in R," MPRA Paper 1421, University Library of Munich, Germany.
    23. Richardson, Katarina, 2000. "The evolution of the marriage premium in the Swedish labor market 1968-1991," Working Paper Series 2000:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    24. Justin Dang & Aman Ullah, 2023. "Generalized kernel regularized least squares estimator with parametric error covariance," Empirical Economics, Springer, vol. 64(6), pages 3059-3088, June.
    25. Drton, Mathias & Andersson, Steen A. & Perlman, Michael D., 2006. "Conditional independence models for seemingly unrelated regressions with incomplete data," Journal of Multivariate Analysis, Elsevier, vol. 97(2), pages 385-411, February.
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    1. Damiano Kulundu Manda & Arne Bigsten & Germano Mwabu, 2005. "Trade union membership and earnings in Kenyan manufacturing firms," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1693-1704.
    2. Goerke, Laszlo, 1997. "Taxes in an open shop trade union model," Discussion Papers, Series II 346, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
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    6. Schnabel, Claus, 2002. "Determinants of trade union membership," Discussion Papers 15, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    7. Johansson, Robert Charles, 1997. "Wage structure in the supermarket industry 1984-1993," Faculty and Alumni Dissertations 246441, University of Minnesota, Department of Applied Economics.
    8. Michael Dobbie & Daehoon Nahm, 2018. "The Determinants of Individual Union Membership in Australia: A Structural Approach Using Panel Data," Economic Papers, The Economic Society of Australia, vol. 37(1), pages 75-91, March.
    9. Robert C. Johansson & Jay S. Coggins, 2002. "Union Density Effects in the Supermarket Industry," Journal of Labor Research, Transaction Publishers, vol. 23(4), pages 673-684, October.
    10. James Kau & Paul Rubin, 1979. "Public interest lobbies: membership and influence," Public Choice, Springer, vol. 34(1), pages 45-54, March.
    11. Richard B. Freeman & James L. Medoff, 1982. "The Impact of Collective Bargaining: Can the New Facts Be Explained by Monopoly Unionism?," NBER Working Papers 0837, National Bureau of Economic Research, Inc.
    12. Kevin Deno & Stephen Mehay, 1988. "Municipal utilities and local public finance: A simultaneous model," Public Choice, Springer, vol. 57(3), pages 201-212, June.
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    14. K.R.Shanmugam & S.Madheswaran, 2004. "Wage Differentials Between Union and Non-union Workers: An Econometric Analysis," Econometric Society 2004 Far Eastern Meetings 413, Econometric Society.

  81. Schmidt, Peter, 1976. "On the Statistical Estimation of Parametric Frontier Production Functions," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 238-239, May.

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    1. Maria Rita Pierleoni & Stefano Gori, 2013. "Efficiency analysis postal operators: comparison between the United States and Europe," Chapters, in: Michael A. Crew & Paul R. Kleindorfer (ed.), Reforming the Postal Sector in the Face of Electronic Competition, chapter 18, pages 261-276, Edward Elgar Publishing.
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    4. Madau, Fabio A., 2005. "Technical Efficiency in Organic Farming: An Application on Italian Cereal Farms Using a Parametric Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24545, European Association of Agricultural Economists.
    5. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    6. Diagne, Youssoupha Sakrya & Ba, Arona, 2019. "How much more can the tax administration collect? Measuring tax potential for Senegal," MPRA Paper 114168, University Library of Munich, Germany.
    7. Toland, Gerald Jr & Schmiesing, Brian H. & Black, J. Roy, 1989. "Analysis and Comparison of Alternative Estimations of Crop Yield Probability Distributions," WAEA/ WFEA Conference Archive (1929-1995) 244976, Western Agricultural Economics Association.
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    9. N. Maniadakis & N. Kotsopoulos & P. Prezerakos & J. Yfantopoulos, 2009. "Health Care Services Performance Measurement: Theory, Methods and Empirical Evidence," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 151-170.
    10. Ray C. Fair, 1991. "How Fast Do Old Men Slow Down?," NBER Working Papers 3757, National Bureau of Economic Research, Inc.
    11. Nguyen Thi Chau & Tofael Ahamed, 2022. "Analyzing Factors That Affect Rice Production Efficiency and Organic Fertilizer Choices in Vietnam," Sustainability, MDPI, vol. 14(14), pages 1-11, July.
    12. Banker, Rajiv D. & Chang, Hsihui & Cooper, William W., 2004. "A simulation study of DEA and parametric frontier models in the presence of heteroscedasticity," European Journal of Operational Research, Elsevier, vol. 153(3), pages 624-640, March.
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    19. Pillai N., Vijayamohanan, 2019. "Measuring Energy Efficiency: An Application of Stochastic Frontier Production Function Analysis to Power Sector in Kerala," MPRA Paper 101944, University Library of Munich, Germany.
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    30. Kao, Chiang & Pao, Hwei-Lan, 2012. "Predicting project approvals: A case of grants from the National Science Council of Taiwan," Omega, Elsevier, vol. 40(1), pages 89-95, January.
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    38. Kevin Flesher & Eduardo Ley, 1995. "A Frontier Model for Landscape Ecology: The Tapir in Honduras," Econometrics 9503002, University Library of Munich, Germany, revised 29 Feb 2004.
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    43. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
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    45. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
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    47. Mohamed El Arbi Chaffai, 1989. "Estimation de frontières de production et de l'inefficacité technique. Application aux entreprises tunisiennes," Économie et Prévision, Programme National Persée, vol. 91(5), pages 67-73.
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    3. Ke, Mei-Chu & Liang Liao, Tung & Hsu, Hong-Ming, 2007. "Some new evidence on bond initial public offerings in the Taiwan Stock Exchange: An industrial perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(2), pages 357-373.
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    5. Khursheed Alam & Calvin Williams, 1993. "Relative difference in diversity between populations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 45(2), pages 383-399, June.
    6. Chiswick, Barry R. & Lee, Yew Liang & Miller, Paul W., 2002. "Longitudinal Analysis of Immigrant Occupational Mobility: A Test of the Immigrant Assimilation Hypothesis," IZA Discussion Papers 452, Institute of Labor Economics (IZA).
    7. Weiping Kostenko & Mark Harris & Xueyan Zhao, 2009. "Occupational Transition and Country-of-Origin Effects in the Early Stage Occupational Assimilation of Immigrants: Some Evidence from Australia," Melbourne Institute Working Paper Series wp2009n20, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    8. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    9. Paul W. Miller & Paul A. Volker, 1985. "Economic Progress in Australia: An Analysis of Occupational Mobility," The Economic Record, The Economic Society of Australia, vol. 61(1), pages 463-475, March.
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    51. Liu, Pak-Wai & Zhang, Junsen & Chong, Shu-Chuen, 2004. "Occupational segregation and wage differentials between natives and immigrants: evidence from Hong Kong," Journal of Development Economics, Elsevier, vol. 73(1), pages 395-413, February.
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    53. Larry L. Howard & Nishith Prakash, 2011. "Do Employment Quotas Explain the Occupational Choices of Disadvantaged Minorities in India?," Working papers 2012-31, University of Connecticut, Department of Economics.
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    57. Hwei‐Lin Chuang & Ning Hsieh & Eric S. Lin, 2010. "Labour Market Activity Of Foreign Spouses In Taiwan: Employment Status And Choice Of Employment Sector," Pacific Economic Review, Wiley Blackwell, vol. 15(4), pages 505-531, October.
    58. Julio Elías, 2003. "The Link between Unemployment and the Marriage Rate: Buenos Aires, Argentina," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(121), pages 505-514.
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    62. Diagne, Aliou & Zeller, Manfred, 2001. "Access to credit and its impact on welfare in Malawi:," Research reports 116, International Food Policy Research Institute (IFPRI).
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    65. Manuel Salas-Velasco, 2023. "Propensity for Self-Employment in a Model of Occupational Choice: Evidence from a Cohort of Recent University Graduates in Spain," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    66. Joe Darden, 2005. "Black occupational achievement in the toronto census metropolitan area: Does race matter?," The Review of Black Political Economy, Springer;National Economic Association, vol. 33(2), pages 31-54, December.
    67. Castro Campos, Bente, 2013. "Human capital differences or labor market discrimination? The occupational outcomes of ethnic minorities in rural Guizhou (China)," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 73, number 73.
    68. Robert Plasman & Salimata Sissoko Ndeye, 2005. "Comparing apples with oranges: revisiting the gender wage gap in an international perspective," DULBEA Working Papers 05-12.RS, ULB -- Universite Libre de Bruxelles.
    69. Agnieszka Chlon-Dominczak & Andrzej Zurawski, 2017. "Measuring skills mismatches revisited – introducing sectoral approach," IBS Working Papers 03/2017, Instytut Badan Strukturalnych.
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    73. Propper, Carol, 2000. "The demand for private health care in the UK," Journal of Health Economics, Elsevier, vol. 19(6), pages 855-876, November.
    74. Alberto Chong & Mark Gradstein, 2006. "¿Quién tiene miedo de la ayuda extranjera? La perspectiva del donante," Research Department Publications 4453, Inter-American Development Bank, Research Department.
    75. Amita Majumder & Chayanika Mitra, 2017. "Gender Bias in Education in West Bengal," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(1), pages 173-196, March.
    76. Chunlai, Chen & Findlay, Christopher, 2001. "Patterns of Domestic Grain Flows and Regional Comparative Advantage in Grain Production in China," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 171999, Australian Agricultural and Resource Economics Society.
    77. Ham, Roger & Junankar, Pramod N. (Raja) & Wells, Robert, 2009. "Antagonistic Managers, Careless Workers and Extraverted Salespeople: An Examination of Personality in Occupational Choice," IZA Discussion Papers 4193, Institute of Labor Economics (IZA).
    78. Gerlach, Sibylle & Feil, Jan-Henning, 2022. "Erfolgsfaktoren von Agrifood-Startups – erste empirische Erkenntnisse aus Deutschland," 62nd Annual Conference, Stuttgart, Germany, September 7-9, 2022 329615, German Association of Agricultural Economists (GEWISOLA).
    79. Hennessy, Thia C. & Rehman, Tahir, 2006. "Modelling the Impact of Decoupling on Structural Change in Farming: Integrating Econometric Estimation and Optimisation," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25271, International Association of Agricultural Economists.
    80. P. Nijkamp & P. Rietveld, 1982. "Soft Econometrics As A Tool For Regional Discrepancy Analysis," Papers in Regional Science, Wiley Blackwell, vol. 49(1), pages 3-21, January.
    81. G Johnes, 2000. "Wage differentials and the responsiveness of labor supply: an international comparison," Working Papers 539615, Lancaster University Management School, Economics Department.
    82. Donald Jud & Daniel T. Winkler, 1999. "A Model of Real Estate Sales as a Career Choice," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 481-490.
    83. A Aggarwal & R Freguglia & G Johnes & G Spricigo, 2011. "Education and labour market outcomes : evidence from India," Working Papers 615663, Lancaster University Management School, Economics Department.
    84. Ulrike Schneider & Birgit Trukeschitz & Richard Mühlmann & Ivo Ponocny, 2013. "“Do I Stay Or Do I Go?”—Job Change And Labor Market Exit Intentions Of Employees Providing Informal Care To Older Adults," Health Economics, John Wiley & Sons, Ltd., vol. 22(10), pages 1230-1249, October.
    85. Chen, Ping-Yu & Chen, Sheng-Tung & Chen, Chi-Chung, 2012. "Energy consumption and economic growth—New evidence from meta analysis," Energy Policy, Elsevier, vol. 44(C), pages 245-255.

  83. Schmidt, Peter & Guilkey, David K, 1975. "Some Further Evidence on the Power of the Durbin-Watson and Geary Tests," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 379-382, August.

    Cited by:

    1. Robert Nash Parker, 1980. "Correlation In Time Series Regression," Sociological Methods & Research, , vol. 9(1), pages 99-114, August.
    2. Wan, Alan T.K. & Zou, Guohua & Banerjee, Anurag, 2007. "The power of autocorrelation tests near the unit root in models with possibly mis-specified linear restrictions," Economics Letters, Elsevier, vol. 94(2), pages 213-219, February.
    3. Erum Toor & Tanweer Ul Islam, 2019. "Power Comparison of Autocorrelation Tests in Dynamic Models," International Econometric Review (IER), Econometric Research Association, vol. 11(2), pages 58-69, September.
    4. Greenwell, Raymond N. & Finch, Stephen J., 2004. "Randomized rejection procedure for the two-sample Kolmogorov-Smirnov statistic," Computational Statistics & Data Analysis, Elsevier, vol. 46(2), pages 257-267, June.

  84. Schmidt, Peter & Strauss, Robert P, 1975. "Estimation of Models with Jointly Dependent Qualitative Variables: A Simultaneous Logit Approach," Econometrica, Econometric Society, vol. 43(4), pages 745-755, July.

    Cited by:

    1. G.S. Maddala & Forrest D. Nelson, 1974. "Analysis of Qualitative Variables," NBER Working Papers 0070, National Bureau of Economic Research, Inc.
    2. Alberto Chong & Mark Gradstein, 2010. "Firm‐Level Determinants Of Political Influence," Economics and Politics, Wiley Blackwell, vol. 22(3), pages 233-256, November.
    3. Ke, Mei-Chu & Liang Liao, Tung & Hsu, Hong-Ming, 2007. "Some new evidence on bond initial public offerings in the Taiwan Stock Exchange: An industrial perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(2), pages 357-373.
    4. Veeman, Michele M. & Hu, Wuyang & Adamowicz, Wiktor L., 2006. "Consumers' Preferences for GM Food and Voluntary Information Acquisition: A Simultaneous Choice Analysis," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25786, International Association of Agricultural Economists.
    5. Subal C. Kumbhakar & Robin Sickles & Hung-Jen Wang, 2023. "Introduction," Empirical Economics, Springer, vol. 64(6), pages 2467-2474, June.
    6. James Ferris, 1985. "Interrelationships among public spending preferences: A micro analysis," Public Choice, Springer, vol. 45(2), pages 139-153, January.
    7. Weihua An, 2016. "On the Directionality Test of Peer Effects in Social Networks," Sociological Methods & Research, , vol. 45(4), pages 635-650, November.
    8. Raquel Carrasco, 1999. "Binary Choice with Binary Endogenous Regressors in Panel Data: Estimating the Effect of Fertility on Female Labour Participation," Working Papers 1999.3, Fondazione Eni Enrico Mattei.
    9. Yoon Lee & Sungchul Cho & Haejin Han & Kyoungmin Kim & Yongsuk Hong, 2017. "Heterogeneous Value of Water: Empirical Evidence in South Korea," Sustainability, MDPI, vol. 9(10), pages 1-11, September.
    10. Christiadi & Brian Cushing, 2008. "The Joint Choice Of An Individual'S Occupation And Destination," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 893-919, December.
    11. Bo E. Honore & Luojia Hu & Ekaterini Kyriazidou & Martin Weidner, 2022. "Simultaneity in Binary Outcome Models with an Application to Employment for Couples," Working Paper Series WP 2022-34, Federal Reserve Bank of Chicago.
    12. Bo E. Honoré & Áureo de Paula, 2021. "Identification in simple binary outcome panel data models," CeMMAP working papers CWP14/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Jörg Rieskamp & Jerome R. Busemeyer & Barbara A. Mellers, 2006. "Extending the Bounds of Rationality: Evidence and Theories of Preferential Choice," Journal of Economic Literature, American Economic Association, vol. 44(3), pages 631-661, September.
    14. Meinel, Nina, 2007. "Untersuchung asymptotischer Eigenschaften von Schätzern diskreter bivariater Copula Modelle mit Kovariablen," Discussion Papers 82/2007, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
    15. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.
    16. Ronning, Gerd, 1987. "Nachfrageanalyse für diskrete Alternativen," Discussion Papers, Series II 31, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    17. W. Asenso-Okyere & Janet Dzator & Isaac Osel-akoto, 1996. "The behaviour towards malaria care—a multinomial logit approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 39(2), pages 167-186, January.
    18. Helen Koo & Barbara Janowitz, 1983. "Interrelationships between fertility and marital dissolution: Results of a simultaneous logit model," Demography, Springer;Population Association of America (PAA), vol. 20(2), pages 129-145, May.
    19. Fairchild, Richard & Guney, Yilmaz & Thanatawee, Yordying, 2014. "Corporate dividend policy in Thailand: Theory and evidence," International Review of Financial Analysis, Elsevier, vol. 31(C), pages 129-151.
    20. Brouwer, F. & Nijkamp, P., 1981. "Categorical spatial data analysis," Serie Research Memoranda 0022, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    21. Ye, Xin & Pendyala, Ram M. & Gottardi, Giovanni, 2007. "An exploration of the relationship between mode choice and complexity of trip chaining patterns," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 96-113, January.
    22. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    23. Brouwer, F., 1982. "Log-linear analyses with metric and non-metric data : an application to spatial data," Serie Research Memoranda 0015, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    24. Chen, Gongmeng & Firth, Michael & Xu, Liping, 2009. "Does the type of ownership control matter? Evidence from China's listed companies," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 171-181, January.
    25. Lesaffre, Emmanuel & Molenberghs, Geert & Scheys, Ilse, 1997. "Prediction and classification when the diagnostic classes are related," Computational Statistics & Data Analysis, Elsevier, vol. 25(1), pages 67-90, July.
    26. Joe Darden, 2005. "Black occupational achievement in the toronto census metropolitan area: Does race matter?," The Review of Black Political Economy, Springer;National Economic Association, vol. 33(2), pages 31-54, December.
    27. Chunlai, Chen & Findlay, Christopher, 2001. "Patterns of Domestic Grain Flows and Regional Comparative Advantage in Grain Production in China," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 171999, Australian Agricultural and Resource Economics Society.
    28. Wuyang Hu & Wiktor L. Adamowicz & Michele M. Veeman, 2009. "Consumers' Preferences for GM Food and Voluntary Information Access: A Simultaneous Choice Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(2), pages 241-267, June.
    29. P. Nijkamp & P. Rietveld, 1982. "Soft Econometrics As A Tool For Regional Discrepancy Analysis," Papers in Regional Science, Wiley Blackwell, vol. 49(1), pages 3-21, January.
    30. Wang, H. Holly & Rosenman, Robert, 2007. "Perceived need and actual demand for health insurance among rural Chinese residents," China Economic Review, Elsevier, vol. 18(4), pages 373-388.

  85. Schmidt, Peter, 1975. "The Small Sample Effects of Various Treatments of Truncation Remainders in the Estimation of Distributed Lag Models," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 387-389, August.

    Cited by:

    1. V. K. Chetty & James J. Heckman, 2023. "Internal adjustment costs of firm-specific factors and the neoclassical theory of the firm," Empirical Economics, Springer, vol. 64(6), pages 2703-2719, June.
    2. LaFrance, Jeffrey T. & Burt, Oscar R., 1983. "A Modified Partial Adjustment Model Of Aggregate U.S. Agricultural Supply," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 8(1), pages 1-12, July.

  86. Schmidt, Peter, 1974. "The Algebraic Equivalence of the Oberhofer-Kmenta and Theil-Boot Formulae for the Asymptotic Variance of a Characteristic Root of a Dynamic Econometric Model," Econometrica, Econometric Society, vol. 42(3), pages 591-592, May.

    Cited by:

    1. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo & Panattoni, Lorenzo, 1980. "Significance of the characteristic roots of linearized econometric models," MPRA Paper 24882, University Library of Munich, Germany.

  87. Schmidt, Peter, 1974. "An Argument for the Usefulness of the Gamma Distributed Lag Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 246-250, February.

    Cited by:

    1. Schimmelpfennig, David & Thirtle, Colin & van Zyl, Johan & Arnade, Carlos & Khatri, Yougesh, 2000. "Short and long-run returns to agricultural R&D in South Africa, or will the real rate of return please stand up?," Agricultural Economics, Blackwell, vol. 23(1), pages 1-15, June.
    2. Alessandro Magrini, 2022. "Mediation analysis in recursive systems of distributed-lag linear regressions," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1535-1555, June.
    3. V. K. Chetty & James J. Heckman, 2023. "Internal adjustment costs of firm-specific factors and the neoclassical theory of the firm," Empirical Economics, Springer, vol. 64(6), pages 2703-2719, June.
    4. Khatri, Y. & Schimmelpfennig, D. & Thirtle, C. & van Zyl, J., 1996. "Refining Returns To Research And Development In South African Commercial Agriculture," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 35(4), December.
    5. Dikaios Tserkezos, 1998. "GNP quarterly disaggregation of selected OECD countries using a related time series approach," Applied Economics Letters, Taylor & Francis Journals, vol. 5(11), pages 733-736.

  88. Schmidt, Peter, 1974. "A Note on Theil's Minimum Standard Error Criterion when the Disturbances are Autocorrelated," The Review of Economics and Statistics, MIT Press, vol. 56(1), pages 122-123, February.

    Cited by:

    1. Stoian, Andreea & Iorgulescu, Filip, 2016. "Do Investors Listen to Fiscal Policy? – Study case Bucharest Stock Exchange," MPRA Paper 72458, University Library of Munich, Germany.
    2. Fisher, Gordon & McAleer, Michael, 1980. "Principles and Methods in the Testing of Alternative Models," Queen's Institute for Economic Research Discussion Papers 275167, Queen's University - Department of Economics.

  89. Schmidt, Peter, 1974. "The Asymptotic Distribution of Forecasts in the Dynamic Simulation of an Econometric Model," Econometrica, Econometric Society, vol. 42(2), pages 303-309, March.

    Cited by:

    1. Neil R. Ericsson & Jaime R. Marquez, 1990. "Evaluating the predictive performance of trade-account models," International Finance Discussion Papers 377, Board of Governors of the Federal Reserve System (U.S.).
    2. Hendry, David F. & Martinez, Andrew B., 2017. "Evaluating multi-step system forecasts with relatively few forecast-error observations," International Journal of Forecasting, Elsevier, vol. 33(2), pages 359-372.
    3. Freebairn, John W., 1975. "Forecasting For Australian Agriculture," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 19(3), pages 1-21, December.
    4. Stefan Gerlach, 1996. "Monetary policy and the behaviour of interest rates: are long rates excessively volatile?," BIS Working Papers 34, Bank for International Settlements.
    5. Bianchi, Carlo & Calzolari, Giorgio, 1983. "Standard errors of forecasts in dynamic simulation of nonlinear econometric models: some empirical results," MPRA Paper 22657, University Library of Munich, Germany, revised 1983.
    6. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    7. Bianchi, Carlo & Calzolari, Giorgio, 1982. "Evaluating forecast uncertainty due to errors in estimated coefficients: empirical comparison of alternative methods," MPRA Paper 22559, University Library of Munich, Germany.
    8. Timmermann, Allan & Patton, Andrew, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," CEPR Discussion Papers 8194, C.E.P.R. Discussion Papers.
    9. Bianchi, Carlo & Calzolari, Giorgio & Weihs, Claus, 1986. "Parametric and nonparametric Monte Carlo estimates of standard errors of forecasts in econometric models," MPRA Paper 29120, University Library of Munich, Germany.
    10. David F. Hendry & Michael P. Clements, 1994. "Can Econometrics Improve Economic Forecasting?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 267-298, September.
    11. Bianchi, Carlo & Calzolari, Giorgio, 1980. "A simulation approach to some dynamic properties of econometric models," MPRA Paper 24421, University Library of Munich, Germany.
    12. Bianchi, Carlo & Calzolari, Giorgio & Brillet, Jean-Louis, 1987. "Measuring forecast uncertainty : A review with evaluation based on a macro model of the French economy," International Journal of Forecasting, Elsevier, vol. 3(2), pages 211-227.
    13. Bianchi, Carlo & Calzolari, Giorgio, 1979. "Simulation of a nonlinear econometric model," MPRA Paper 24440, University Library of Munich, Germany, revised 1980.
    14. Capistrán Carlos, 2007. "Optimality Tests for Multi-Horizon Forecasts," Working Papers 2007-14, Banco de México.
    15. Yock Y. Chong & David F. Hendry, 1986. "Econometric Evaluation of Linear Macro-Economic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(4), pages 671-690.
    16. Neil R. Ericsson, 2000. "Predictable uncertainty in economic forecasting," International Finance Discussion Papers 695, Board of Governors of the Federal Reserve System (U.S.).
    17. Calzolari, Giorgio, 1987. "La varianza delle previsioni nei modelli econometrici [Forecast variance in econometric models]," MPRA Paper 23866, University Library of Munich, Germany.
    18. Bianchi, Carlo & Calzolari, Giorgio, 1983. "Confidence intervals of forecasts from nonlinear econometric models," MPRA Paper 29025, University Library of Munich, Germany.
    19. Mark Taylor, 1987. "Risk premia and foreign exchange: A multiple time series approach to testing uncovered interest-rate parity," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 123(4), pages 579-591, December.
    20. Bianchi, Carlo & Calzolari, Giorgio, 1978. "La varianza dell'errore di previsione nei modelli econometrici: applicazione ad un modello nonlineare dell'economia italiana [The variance of forecast errors in econometric models: application to a," MPRA Paper 29121, University Library of Munich, Germany.

  90. Koo, Anthony Y C & Schmidt, Peter, 1974. "Cognitive Range in the Theory of Revealed Preference," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 174-184, Jan.-Feb..

    Cited by:

    1. Kovács, Máté, 2009. "Kinyilvánított preferencia és racionalitás [Declared preference and rationality]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 546-562.

  91. Schmidt, Peter, 1973. "Calculating the Power of the Minimum Standard Error Choice Criterion," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(1), pages 253-255, February.

    Cited by:

    1. K.R. Sawyer, 1981. "Econometric Model Selection in Perspective," Economics Discussion / Working Papers 81-11, The University of Western Australia, Department of Economics.
    2. K.R. Sawyer, 1982. "Parsimony in Model Selection," Economics Discussion / Working Papers 82-10, The University of Western Australia, Department of Economics.

  92. Schmidt, Peter, 1973. "The Asymptotic Distribution of Dynamic Multipliers," Econometrica, Econometric Society, vol. 41(1), pages 161-164, January.

    Cited by:

    1. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo & Panattoni, Lorenzo, 1985. "Asymptotic properties of dynamic multipliers in nonlinear econometric models," MPRA Paper 24401, University Library of Munich, Germany.
    2. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "A package for analytic simulation of econometric models," MPRA Paper 24134, University Library of Munich, Germany.
    3. Bianchi, Carlo & Calzolari, Giorgio, 1982. "Evaluating forecast uncertainty due to errors in estimated coefficients: empirical comparison of alternative methods," MPRA Paper 22559, University Library of Munich, Germany.
    4. Calzolari, Giorgio & Bianchi, Carlo & Corsi, Paolo & Panattoni, Lorenzo, 1982. "Uncertainty of policy recommendations for nonlinear econometric models: some empirical results," MPRA Paper 28846, University Library of Munich, Germany.
    5. Bianchi, Carlo & Calzolari, Giorgio, 1980. "A simulation approach to some dynamic properties of econometric models," MPRA Paper 24421, University Library of Munich, Germany.
    6. Bianchi, Carlo & Calzolari, Giorgio & Brillet, Jean-Louis, 1987. "Measuring forecast uncertainty : A review with evaluation based on a macro model of the French economy," International Journal of Forecasting, Elsevier, vol. 3(2), pages 211-227.
    7. Richard T. Baillie & Dooyeon Cho & Seunghwa Rho, 2023. "Approximating long-memory processes with low-order autoregressions: Implications for modeling realized volatility," Empirical Economics, Springer, vol. 64(6), pages 2911-2937, June.
    8. Bianchi, Carlo & Calzolari, Giorgio, 1979. "Simulation of a nonlinear econometric model," MPRA Paper 24440, University Library of Munich, Germany, revised 1980.
    9. Richard T. Baillie & George Kapetanios & Fotis Papailias, 2017. "Inference for impulse response coefficients from multivariate fractionally integrated processes," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 60-84, March.
    10. Calzolari, Giorgio, 1987. "La varianza delle previsioni nei modelli econometrici [Forecast variance in econometric models]," MPRA Paper 23866, University Library of Munich, Germany.
    11. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "On the restricted reduced form of the Klein-I model: revised computations to complete "A note on the numerical results by Goldberger, Nagar and Odeh", Econometrica, 47 (1979)," MPRA Paper 24137, University Library of Munich, Germany.
    12. van Dijk, H. K. & Kloek, T., 1978. "Posterior Analysis Of Klein'S Model," Econometric Institute Archives 272173, Erasmus University Rotterdam.

  93. Schmidt, Peter, 1973. "On the Difference Between Conditional and Unconditional Asymptotic Distributions of Estimates in Distributed Lag Models with Integer-Valued Parameters," Econometrica, Econometric Society, vol. 41(1), pages 165-169, January.

    Cited by:

    1. Donald W.K. Andrews & Ray C. Fair, 1989. "Estimation of Polynomial Distributed Lags and Leads with End Point Constraints," NBER Technical Working Papers 0079, National Bureau of Economic Research, Inc.

  94. Schmidt, Peter, 1972. "A Generalization of the Durbin-Watson Test," Australian Economic Papers, Wiley Blackwell, vol. 11(19), pages 203-209, December.

    Cited by:

    1. Mahmood, Talat, 1990. "Die Dynamik der Rentabilität als stochastischer Prozess: eine empirische Zeitreihenanalyse von ausgewählten deutschen und amerikanischen Unternehmen. Vom Fachbereich 20 Informatik der Technischen Univ," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 112236.

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