IDEAS home Printed from https://ideas.repec.org/f/c/pma1990.html
   My authors  Follow this author

Emir Malikov

Citations

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

Working papers

  1. Jingfang Zhang & Emir Malikov, 2023. "Off-Balance Sheet Activities and Scope Economies in U.S. Banking," Papers 2302.14603, arXiv.org.

    Cited by:

    1. Wu, Meng-Wen & Shen, Chung-Hua & Hsu, Hsing-Hua & Chiu, Po-Hao, 2023. "Why did a bank with good governance perform worse during the financial crisis? The views of shareholder and stakeholder orientations," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).

  2. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2023. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Papers 2302.13429, arXiv.org.

    Cited by:

    1. Jingfang Zhang & Emir Malikov, 2023. "Detecting Learning by Exporting and from Exporters," Papers 2302.13427, arXiv.org.

  3. Malikov, Emir & Zhao, Shunan & Kumbhakar, Subal C., 2020. "Estimation of Firm-Level Productivity in the Presence of Exports: Evidence from China's Manufacturing," MPRA Paper 98077, University Library of Munich, Germany.

    Cited by:

    1. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2024. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 211-263, Emerald Group Publishing Limited.
    2. Jingfang Zhang & Emir Malikov, 2023. "Detecting Learning by Exporting and from Exporters," Papers 2302.13427, arXiv.org.
    3. Thanh Tam Nguyen-Huu & Khac Minh Nguyen & Quoc Tran-Nam, 2022. "The role of environmental practices and innovation in total factor productivity convergence -Evidence from small-and medium-sized manufacturing enterprises in Vietnam," Post-Print hal-04248191, HAL.
    4. Li, Mingyang & Jin, Man & Kumbhakar, Subal C., 2022. "Do subsidies increase firm productivity? Evidence from Chinese manufacturing enterprises," European Journal of Operational Research, Elsevier, vol. 303(1), pages 388-400.
    5. Bie, Xiaodong & Ciani, Andrea, 2021. "Born similar, develop apart: Evidence on Chinese hybrid exporters," DICE Discussion Papers 364, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. Huang, Minjie & Zhao, Shunan & Kumbhakar, Subal C., 2022. "Decomposition of Output, Productivity and Market Structure Changes," European Journal of Operational Research, Elsevier, vol. 303(1), pages 422-437.
    7. Shunan Zhao & Bing Qian & Subal C. Kumbhakar, 2020. "Estimation of productivity and markups with price dispersion: Evidence from Chinese manufacturing during economic transition," Southern Economic Journal, John Wiley & Sons, vol. 87(2), pages 666-699, October.
    8. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    9. Kumbhakar, Subal C. & Li, Mingyang & Zhao, Shunan, 2021. "Estimation of technical change: Direct semi/nonparametric approaches," Economics Letters, Elsevier, vol. 199(C).
    10. Shunan Zhao & Man Jin & Subal C. Kumbhakar, 2021. "Estimation of firm productivity in the presence of spillovers and common shocks," Empirical Economics, Springer, vol. 60(6), pages 3135-3170, June.
    11. Xuan Nguyen & Yuqing Xing, 2022. "Exporting independently or entering the global market as a contract manufacturer?," GRIPS Discussion Papers 22-04, National Graduate Institute for Policy Studies.
    12. Fei Jia & Minjie Huang & Shunan Zhao, 2024. "Estimation of endogenous firm productivity without instruments: an application to foreign investment," Journal of Productivity Analysis, Springer, vol. 61(2), pages 135-155, April.
    13. Emir Malikov & Jingfang Zhang & Shunan Zhao & Subal C. Kumbhakar, 2023. "Accounting for Cross-Location Technological Heterogeneity in the Measurement of Operations Efficiency and Productivity," Papers 2302.13430, arXiv.org.

  4. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2019. "Endogenous Dynamic Efficiency in the Intertemporal Optimization Models of Firm Behavior," MPRA Paper 97780, University Library of Munich, Germany.

    Cited by:

    1. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    2. Tsionas, Mike & Patel, Pankaj C. & Guedes, Maria João, 2022. "Endogenous efficiency of the dynamic profit maximization in the intertemporal production models of venture behavior," International Journal of Production Economics, Elsevier, vol. 246(C).
    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.

  5. Malikov, Emir & Sun, Kai & Kumbhakar, Subal C., 2018. "Nonparametric Estimates of the Clean and Dirty Energy Substitutability," MPRA Paper 86260, University Library of Munich, Germany.

    Cited by:

    1. Wegayehu Fitawek & Sheryl L. Hendriks, 2021. "Evaluating the Impact of Large-Scale Agricultural Investments on Household Food Security Using an Endogenous Switching Regression Model," Land, MDPI, vol. 10(3), pages 1-19, March.
    2. Fabian Stöckl, 2020. "Is Substitutability the New Efficiency? Endogenous Investment in the Elasticity of Substitution between Clean and Dirty Energy," Discussion Papers of DIW Berlin 1886, DIW Berlin, German Institute for Economic Research.
    3. Wonder Agbenyo & Yuansheng Jiang & Xinxin Jia & Jingyi Wang & Gideon Ntim-Amo & Rahman Dunya & Anthony Siaw & Isaac Asare & Martinson Ankrah Twumasi, 2022. "Does the Adoption of Climate-Smart Agricultural Practices Impact Farmers’ Income? Evidence from Ghana," IJERPH, MDPI, vol. 19(7), pages 1-25, March.
    4. Fabian Stöckl & Alexander Zerrahn, 2023. "Substituting Clean for Dirty Energy: A Bottom-Up Analysis," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(3), pages 819-863.

  6. Tsionas, Mike & Malikov, Emir & Kumbhakar, Subal C., 2018. "An Internally Consistent Approach to the Estimation of Market Power and Cost Efficiency with an Application to U.S. Banking," MPRA Paper 85811, University Library of Munich, Germany.

    Cited by:

    1. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    2. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    3. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Size, efficiency, market power, and economies of scale in the African banking sector," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-22, December.
    4. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    5. Shaffer, Sherrill & Spierdijk, Laura, 2020. "Measuring multi-product banks’ market power using the Lerner index," Journal of Banking & Finance, Elsevier, vol. 117(C).
    6. Michael L. Polemis & Thanasis Stengos & Nickolaos G. Tzeremes, 2020. "Modeling the effect of competition on US manufacturing sectors’ efficiency: an order-m frontier analysis," Journal of Productivity Analysis, Springer, vol. 54(1), pages 27-41, August.
    7. Md. Asif Nawaz, 2021. "Impact of Specialization, Ownership Structure, and Size on Cost and Profit Efficiency of US Commercial and Savings Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(3), pages 1-4.
    8. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2023. "Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1360-1373.
    9. Yao, Xin & Huang, Ruting & Du, Kerui, 2019. "The impacts of market power on power grid efficiency: Evidence from China," China Economic Review, Elsevier, vol. 55(C), pages 99-110.
    10. Hirofumi Fukuyama & Yong Tan, 2023. "Estimating market power under a nonparametric analysis: evidence from the Chinese real estate sector," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 599-622, June.

  7. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.

    Cited by:

    1. N’Guessan, Marie Noëlle & Hartarska, Valentina, 2021. "Funding for BOP in Emerging Markets: Organizational Forms and Capital Structures of Microfinance Institutions," Research in International Business and Finance, Elsevier, vol. 58(C).
    2. Knar Khachatryan & Vardan Baghdasaryan & Valentina Hartarska, 2018. "Is the model loans-plus-savings better for microfinance in ECA? A PSM comparison," Working Paper c5a69366-4231-479c-879d-c, European Microfinance Network.
    3. Malikov, Emir & Hartarska, Valentina & Mersland, Roy, 2019. "Economies of Diversification in Microfinance: Evidence from Quantile Estimation on Panel Data," MPRA Paper 95935, University Library of Munich, Germany.
    4. Pignatel, Isabelle & Tchakoute Tchuigoua, Hubert, 2020. "Microfinance institutions and International Financial Reporting Standards: An exploratory analysis," Research in International Business and Finance, Elsevier, vol. 54(C).
    5. Hartarska, Valentina M. & Zhang, Jingfang & Nadolnyak, Denis A., 2023. "Scope Economies from Rural and Urban Microfinance Services," 2023 Annual Meeting, July 23-25, Washington D.C. 335439, Agricultural and Applied Economics Association.
    6. Kao, Chiang & Pang, Rui-Zhi & Liu, Shiang-Tai & Bai, Xue-Jie, 2021. "Optimal expansion paths for hospitals of different types: Viewpoint of scope economies and evidence from Chinese hospitals," European Journal of Operational Research, Elsevier, vol. 289(2), pages 628-638.
    7. Anastasia Cozarenco & Valentina Hartarska & Ariane Szafarz, 2019. "Too Many Cooks Spoil the Broth: The Conflicting Impacts of Subsidies and Deposits on the Cost-Efficiency of Microfinance Institutions," Working Papers CEB 19-001, ULB -- Universite Libre de Bruxelles.
    8. Valentina Hartarska & Jingfang Zhang & Denis A. Nadolnyak, 2023. "Scope economies from rural and urban microfinance services," Southern Economic Journal, John Wiley & Sons, vol. 89(4), pages 1138-1167, April.
    9. Magloire Nya Tchatchoua & Isabelle Pignatel & Hubert Tchakoute Tchuigoua, 2019. "What type of microfinance institutions comply with International Financial Reporting Standards?," Working Papers CEB 19-012, ULB -- Universite Libre de Bruxelles.
    10. Syeda Sonia Parvin & Belayet Hossain & Muhammad Mohiuddin & Qingfeng Cao, 2020. "Capital Structure, Financial Performance, and Sustainability of Micro-Finance Institutions (MFIs) in Bangladesh," Sustainability, MDPI, vol. 12(15), pages 1-18, August.

  8. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.

    Cited by:

    1. Hou, Zhezhi & Jin, Man & Kumbhakar, Subal C., 2020. "Productivity spillovers and human capital: A semiparametric varying coefficient approach," European Journal of Operational Research, Elsevier, vol. 287(1), pages 317-330.
    2. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    3. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    4. 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).
    5. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    6. Xuan, Liang & Jiti, Gao & xiaodong, Gong, 2021. "Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients," MPRA Paper 108497, University Library of Munich, Germany, revised 30 May 2021.
    7. Konstantinidi, Antri & Kourtellos, Andros & Sun, Yiguo, 2023. "Social threshold regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 2057-2081.
    8. Huang, Danyang & Wang, Feifei & Zhu, Xuening & Wang, Hansheng, 2020. "Two-mode network autoregressive model for large-scale networks," Journal of Econometrics, Elsevier, vol. 216(1), pages 203-219.
    9. Hoshino, Tadao, 2022. "Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect," Journal of Econometrics, Elsevier, vol. 229(2), pages 263-275.
    10. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    11. Shunan Zhao & Man Jin & Subal C. Kumbhakar, 2021. "Estimation of firm productivity in the presence of spillovers and common shocks," Empirical Economics, Springer, vol. 60(6), pages 3135-3170, June.
    12. Kien C. Tran & Mike G. Tsionas, 2023. "Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-28, December.
    13. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    14. Xuan Liang & Jiti Gao & Xiaodong Gong, 2019. "Time-Varying Coefficient Spatial Autoregressive Panel Data Model with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 26/19, Monash University, Department of Econometrics and Business Statistics.

  9. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.

    Cited by:

    1. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    2. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    3. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    4. 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).
    5. Huang, Danyang & Hu, Wei & Jing, Bingyi & Zhang, Bo, 2023. "Grouped spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    6. Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023. "Inference of Grouped Time-Varying Network Vector Autoregression Models," Monash Econometrics and Business Statistics Working Papers 5/23, Monash University, Department of Econometrics and Business Statistics.
    7. Xuan, Liang & Jiti, Gao & xiaodong, Gong, 2021. "Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients," MPRA Paper 108497, University Library of Munich, Germany, revised 30 May 2021.
    8. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
    9. Qichang Xie & Yingkun Yan & Xu Wang, 2023. "Assessing the role of foreign direct investment in environmental sustainability: a spatial semiparametric panel approach," Economic Change and Restructuring, Springer, vol. 56(2), pages 1263-1295, April.
    10. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    11. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    12. Xiaowen Dai & Shidan Huang & Libin Jin & Maozai Tian, 2023. "Wild Bootstrap-Based Bias Correction for Spatial Quantile Panel Data Models with Varying Coefficients," Mathematics, MDPI, vol. 11(9), pages 1-16, April.
    13. Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023. "Estimation of Grouped Time-Varying Network Vector Autoregression Models," Papers 2303.10117, arXiv.org, revised Mar 2024.
    14. Chen, Elynn Y. & Fan, Jianqing & Zhu, Xuening, 2023. "Community network auto-regression for high-dimensional time series," Journal of Econometrics, Elsevier, vol. 235(2), pages 1239-1256.

  10. Malikov, Emir & Bokusheva, Raushan & Kumbhakar, Subal C., 2016. "A Hedonic Output Index based Approach to Modeling Polluting Technologies," MPRA Paper 73186, University Library of Munich, Germany.

    Cited by:

    1. Adenuga, A. & Davis, J. & Hutchinson, G. & Donnellan, T. & Patton, M., 2018. "Valuing Agricultural Externalities: Nitrogen Surplus in the Dairy Sector on the Island of Ireland," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277434, International Association of Agricultural Economists.
    2. K. Hervé Dakpo & Yann Desjeux & Laure Latruffe, 2023. "Cost of abating excess nitrogen on wheat plots in France: An assessment with multi‐technology modelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 800-815, September.
    3. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.
    4. Skevas, Ioannis & Zhu, Xueqin & Shestalova, Victoria & Emvalomatis, Grigorios, 2018. "The Impact of Agri-Environmental Policies and Production Intensification on the Environmental Performance of Dutch Dairy Farms," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(3), September.
    5. Christian Stetter & Johannes Sauer, 2022. "Greenhouse Gas Emissions and Eco-Performance at Farm Level: A Parametric Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 617-647, March.
    6. West, Steele, 2021. "The Estimation of Farm Business Inefficiency in the Presence of Debt Repayment," 2021 Conference, August 17-31, 2021, Virtual 315048, International Association of Agricultural Economists.

  11. Malikov, Emir & Restrepo-Tobon, Diego A & Kumbhakar, Subal C., 2016. "Heterogeneous Credit Union Production Technologies with Endogenous Switching and Correlated Effects," MPRA Paper 71593, University Library of Munich, Germany.

    Cited by:

    1. Ji Wu & Shirong Zhao, 2024. "Returns to scale in cost, revenue, and profit for European banks: New results from nonparametric local linear methods," The Financial Review, Eastern Finance Association, vol. 59(2), pages 487-517, May.
    2. Christian Ewerhart & Robertas Zubrickas, 2019. "Social preference and group identity in the financial cooperative," ECON - Working Papers 332, Department of Economics - University of Zurich.
    3. Etwire, Prince Maxwell & Martey, Edward, 2020. "Climate Change, Technology Use and Maize Production in West Africa," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304175, Agricultural and Applied Economics Association.

  12. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios G., 2015. "Bayesian Approach to Disentangling Technical and Environmental Productivity," MPRA Paper 64877, University Library of Munich, Germany.

    Cited by:

    1. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.
    2. Sushama Murty & R. Robert Russell, "undated". "Bad Outputs," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 17-06, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
    3. Finn R. Førsund, 2018. "Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance," Empirical Economics, Springer, vol. 54(1), pages 67-99, February.
    4. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    5. Sushama Murty & Resham Nagpal, "undated". "Weighted index of graph efficiency improvements for a by-production technology and its application to Indian coal-based thermal power sector," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 18-08, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.

  13. Tsionas, Efthymios & Kumbhakar, Subal C. & Malikov, Emir, 2015. "Estimation of Input Distance Functions: A System Approach," MPRA Paper 62329, University Library of Munich, Germany.

    Cited by:

    1. Malikov, Emir, 2016. "Estimating Multi-Product Production Functions and Productivity using Control Functions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235108, Agricultural and Applied Economics Association.
    2. Shabbir Ahmad, 2020. "Estimating input-mix efficiency in a parametric framework: application to state-level agricultural data for the United States," Applied Economics, Taylor & Francis Journals, vol. 52(36), pages 3976-3997, July.
    3. Mosheim, Roberto & Sickles, Robin C., 2020. "Spatial Effects of Nutrient Pollution on Drinking Water Production," Working Papers 20-002, Rice University, Department of Economics.
    4. Ligia Alba Melo-Becerra & Lucas Wilfried Hahn-De-Castro & Dalma Sofía Ariza-Hernández & Cristian Oswaldo Carmona-Sanchez, 2016. "Efficiency of Public Education in a Multiproduct Context: The Case of Colombian Municipalities," Borradores de Economia 979, Banco de la Republica de Colombia.
    5. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2019. "Estimating Stochastic Ray Production Frontiers," IFRO Working Paper 2019/06, University of Copenhagen, Department of Food and Resource Economics.
    6. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    7. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    8. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.
    9. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    10. Li, Hongchang & Yu, Kemei & Wang, Kun & Zhang, Anming, 2019. "Market power and its determinants in the Chinese railway industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 261-276.
    11. Cortés-García, J. Salvador & Pérez-Rodríguez, Jorge V., 2024. "Heterogeneity and time-varying efficiency in the Ecuadorian banking sector. An output distance stochastic frontier approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 164-175.
    12. Melo-Becerra, Ligia Alba & Hahn-De-Castro, Lucas Wilfried & Ariza, Dalma Sofía & Carmona, Cristian Oswaldo, 2020. "Efficiency of local public education in a decentralized context," International Journal of Educational Development, Elsevier, vol. 76(C).
    13. 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.
    14. 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.

  14. Malikov, Emir, 2015. "Dynamic Responses to Oil Price Shocks: Conditional vs Unconditional (A)symmetry," MPRA Paper 68453, University Library of Munich, Germany.

    Cited by:

    1. Hany Abdel‐Latif & Mahmoud El‐Gamal, 2022. "White elephants on quicksand: Low oil prices and high geopolitical risk," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(1), pages 60-107, February.
    2. Moses Tule & Afees A. Salisu & Charles Chimeke, 2018. "You are what you eat: The role of oil price in Nigeria inflation forecast," Working Papers 040, Centre for Econometric and Allied Research, University of Ibadan.
    3. Salisu, Afees A. & Isah, Kazeem O. & Oyewole, Oluwatomisin J. & Akanni, Lateef O., 2017. "Modelling oil price-inflation nexus: The role of asymmetries," Energy, Elsevier, vol. 125(C), pages 97-106.
    4. Allah Morad Seif & Hossein Panahi & Davoud Hamidi Razi, 2017. "An Estimation of The Impact of Economic Sanctions and Oil Price Shocks on Iran-Russian Trade: Evidence from a Gravity- VEC Approach," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(3), pages 469-497, Summer.
    5. Alsamara, Mouyad Kassm & Mrabet, Zouhair & Elafif, Mohamed & Gangopadhyay, Partha, 2017. "The asymmetric effects of oil price on economic growth in Turkey and Saudi Arabia: new evidence from nonlinear ARDL approach," International Journal of Development and Conflict, Gokhale Institute of Politics and Economics, vol. 7(2), pages 97-118.

  15. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.

    Cited by:

    1. Iosifidi, Maria & Panopoulou, Ekaterini & Tsoumas, Chris, 2021. "Mortgage loan demand and banks’ operational efficiency," Journal of Financial Stability, Elsevier, vol. 53(C).
    2. Mike G. Tsionas, 2019. "Robust Bayesian Inference in Stochastic Frontier Models," JRFM, MDPI, vol. 12(4), pages 1-9, December.
    3. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    4. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
    5. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    6. Tsionas, Mike G., 2020. "Directional technology distance functions through duality," Economics Letters, Elsevier, vol. 190(C).
    7. Tsionas, Mike G., 2017. "The profit function system with output- and input-specific technical efficiency," Economics Letters, Elsevier, vol. 151(C), pages 111-114.
    8. Tsionas, Efthymios G. & Malikov, Emir & Kumbhakar, Subal C., 2018. "An internally consistent approach to the estimation of market power and cost efficiency with an application to U.S. banking," European Journal of Operational Research, Elsevier, vol. 270(2), pages 747-760.
    9. Tsionas, Mike G., 2020. "Quantile Stochastic Frontiers," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1177-1184.
    10. Safiullah, Md & Shamsuddin, Abul, 2022. "Technical efficiency of Islamic and conventional banks with undesirable output: Evidence from a stochastic meta-frontier directional distance function," Global Finance Journal, Elsevier, vol. 51(C).
    11. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    12. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. Safiullah, Md, 2020. "Bank governance and crisis-period efficiency: A multinational study on Islamic and conventional banks," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    14. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.
    15. Valentin Zelenyuk & Valentyn Panchenko, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP022023, School of Economics, University of Queensland, Australia.
    16. 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.
    17. Tsionas, Mike G., 2023. "Minimax regret priors for efficiency estimation," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1279-1285.
    18. Benjamin Hampf, 2018. "Measuring inefficiency in the presence of bad outputs: Does the disposability assumption matter?," Empirical Economics, Springer, vol. 54(1), pages 101-127, February.
    19. Fernández, Xosé Luís & Paz-Saavedra, David & Coto-Millán, Pablo, 2020. "The impact of Brexit on bank efficiency: Evidence from UK and Ireland," Finance Research Letters, Elsevier, vol. 36(C).
    20. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    21. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2019. "Estimating Stochastic Ray Production Frontiers," IFRO Working Paper 2019/06, University of Copenhagen, Department of Food and Resource Economics.
    22. Tsionas, Mike G., 2023. "Combining data envelopment analysis and stochastic frontiers via a LASSO prior," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1158-1166.
    23. Yaryna Kolomiytseva, 2018. "Revisiting Transformation and Directional Technology Distance Functions," Papers 1812.10108, arXiv.org.
    24. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    25. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    26. Tsionas, Mike G., 2023. "Clustering and meta-envelopment in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 304(2), pages 763-778.
    27. Mike G. Tsionas, 2020. "Remarks on Bank Competition and Convergence Dynamics," JRFM, MDPI, vol. 13(5), pages 1-5, May.
    28. Tsionas, Mike G., 2023. "Performance estimation when the distribution of inefficiency is unknown," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1212-1222.
    29. Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
    30. Tsionas, Mike G., 2023. "Joint production in stochastic non-parametric envelopment of data with firm-specific directions," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1336-1347.
    31. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    32. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.
    33. Simar, Léopold & Wilson, Paul, 2021. "Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs," LIDAM Discussion Papers ISBA 2021003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    34. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.
    35. Guohua Feng & Chuan Wang & Xibin Zhang, 2019. "Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 1-19, February.
    36. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    37. Yu, Yang & Fan, Linlin, 2021. "How Does Supplemental Nutrition Assistance Program Affect Household Food Waste?," 2021 Annual Meeting, August 1-3, Austin, Texas 313984, Agricultural and Applied Economics Association.
    38. Tsionas, Mike G., 2024. "A generalized inefficiency model with input and output dependence," European Journal of Operational Research, Elsevier, vol. 312(1), pages 315-323.
    39. Tsionas, Mike G., 2020. "A coherent approach to Bayesian Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 281(2), pages 439-448.
    40. 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.
    41. 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.
    42. Tsionas, Mike G., 2021. "Comparison of stochastic frontier models using the Hyvärinen factor," Economics Letters, Elsevier, vol. 202(C).
    43. Martin Boďa & Emília Zimková, 2021. "A DEA model for measuring financial intermediation," Economic Change and Restructuring, Springer, vol. 54(2), pages 339-370, May.

  16. Malikov, Emir & Restrepo-Tobon, Diego A & Kumbhakar, Subal C., 2014. "Are All U.S. Credit Unions Alike? A Generalized Model of Heterogeneous Technologies with Endogenous Switching and Correlated Effects," MPRA Paper 55994, University Library of Munich, Germany.

    Cited by:

    1. Badunenko, Oleg & Kumbhakar, Subal C., 2017. "Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter?," European Journal of Operational Research, Elsevier, vol. 260(2), pages 789-803.
    2. Carolina Ortega Londono, 2018. "Transmission of Monetary Policy and Bank Heterogeneity in Colombia," Documentos de Trabajo de Valor Público 16792, Universidad EAFIT.
    3. Carolina Ortega Londono & Diego Restrepo, 2018. "Transmission of Monetary Policy and Bank Heterogeneity in Colombia," Documentos de Trabajo de Valor Público 16987, Universidad EAFIT.
    4. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    5. Gregory McKee & Albert Kagan, 2016. "Determinants of recent structural change for small asset U.S. credit unions," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 775-795, October.

  17. Malikov, Emir & Kumbhakar, Subal C., 2014. "A generalized panel data switching regression model," MPRA Paper 56770, University Library of Munich, Germany.

    Cited by:

    1. Yigezu, Yigezu A. & Abbas, Enas & Swelam, Atef & Sabry, Sami R.S. & Moustafa, Moustafa A. & Halila, Habib, 2021. "Socioeconomic, biophysical, and environmental impacts of raised beds in irrigated wheat: A case study from Egypt," Agricultural Water Management, Elsevier, vol. 249(C).
    2. Yigezu A. Yigezu & Tamer El‐Shater, 2021. "Socio‐economic impacts of zero and reduced tillage in wheat fields of the Moroccan drylands," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 645-663, July.
    3. Emir Malikov & Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2018. "Heterogeneous credit union production technologies with endogenous switching and correlated effects," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1095-1119, November.
    4. Martey, Edward & Etwire, Prince M. & Mockshell, Jonathan & Armah, Ralph & Akorsikumah, Eli, 2023. "Ecological shocks and children’s school attendance and farm work in Ghana," World Development Perspectives, Elsevier, vol. 31(C).
    5. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    6. Liu, Zhaoyang & Banerjee, Simanti & Cason, Timothy N. & Hanley, Nick & Liu, Qi & Xu, Jintao & Kontoleon, Andreas, 2023. "Spatially Coordinated Conservation Auctions: A Framed Field Experiment Focusing on Farmland Wildlife Conservation in China," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334572, Agricultural Economics Society - AES.
    7. Martey, Edward & Etwire, Prince Maxwell & Abdoulaye, Tahirou, 2020. "Welfare impacts of climate-smart agriculture in Ghana: Does row planting and drought-tolerant maize varieties matter?," Land Use Policy, Elsevier, vol. 95(C).
    8. Wondimagegn Tesfaye & Garrick Blalock & Nyasha Tirivayi, 2021. "Climate‐Smart Innovations and Rural Poverty in Ethiopia: Exploring Impacts and Pathways," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 878-899, May.

  18. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2013. "Varying Coefficient Panel Data Model in the Presence of Endogenous Selectivity and Fixed Effects," MPRA Paper 55993, University Library of Munich, Germany.

    Cited by:

    1. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.
    2. Zheng Li & Guannan Liu & Qi Li, 2017. "Nonparametric Knn estimation with monotone constraints," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 988-1006, October.
    3. Emir Malikov & Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2018. "Heterogeneous credit union production technologies with endogenous switching and correlated effects," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1095-1119, November.
    4. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.
    5. Feng, Guohua & Gao, Jiti & Peng, Bin, 2022. "An integrated panel data approach to modelling economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 379-397.
    6. Halder, Shaymal C. & Malikov, Emir, 2020. "Smoothed LSDV estimation of functional-coefficient panel data models with two-way fixed effects," Economics Letters, Elsevier, vol. 192(C).
    7. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    8. Feng, Sanying & He, Wenqi & Li, Feng, 2020. "Model detection and estimation for varying coefficient panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).

  19. Emir Malikov & Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2013. "Estimation of Banking technology under credit uncertainty," Documentos de Trabajo de Valor Público 10938, Universidad EAFIT.

    Cited by:

    1. Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Other publications TiSEM f7a73cdb-55a2-40d3-936f-7, Tilburg University, School of Economics and Management.
    2. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    3. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.
    4. Tsionas, Efthymios G. & Malikov, Emir & Kumbhakar, Subal C., 2018. "An internally consistent approach to the estimation of market power and cost efficiency with an application to U.S. banking," European Journal of Operational Research, Elsevier, vol. 270(2), pages 747-760.
    5. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Hasanul Banna & Md Rabiul Alam, 2021. "Does Digital Financial Inclusion Matter For Bank Risk-Taking? Evidence From The Dual-Banking System," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, vol. 7(2), pages 401-430, May.
    7. Diego Restrepo-Tobón & Subal Kumbhakar & Kai Sun, 2015. "Obelix vs. Asterix: Size of US commercial banks and its regulatory challenge," Journal of Regulatory Economics, Springer, vol. 48(2), pages 125-168, October.
    8. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    9. Zhang, Jingfang & Malikov, Emir, 2022. "Off-balance sheet activities and scope economies in U.S. banking," Journal of Banking & Finance, Elsevier, vol. 141(C).
    10. Weber, Thomas A., 2022. "Optimal matching of random parts," Journal of Mathematical Economics, Elsevier, vol. 101(C).
    11. Chepngenoh, Florence & Muriu, Peter W & Institute of Research, Asian, 2020. "Does Risk-Taking Behaviour Matter for Bank Efficiency?," OSF Preprints n7r2c, Center for Open Science.
    12. Bhattacharya, Mita & Inekwe, John Nkwoma & Valenzuela, Maria Rebecca, 2020. "Credit risk and financial integration: An application of network analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).

Articles

  1. Zhang, Jingfang & Malikov, Emir, 2022. "Off-balance sheet activities and scope economies in U.S. banking," Journal of Banking & Finance, Elsevier, vol. 141(C).
    See citations under working paper version above.
  2. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.

    Cited by:

    1. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2024. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 211-263, Emerald Group Publishing Limited.

  3. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2020. "Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior," European Journal of Operational Research, Elsevier, vol. 284(1), pages 313-324.
    See citations under working paper version above.
  4. Emir Malikov & Shunan Zhao & Subal C. Kumbhakar, 2020. "Estimation of firm‐level productivity in the presence of exports: Evidence from China's manufacturing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 457-480, June.
    See citations under working paper version above.
  5. Malikov, Emir & Miao, Ruiqing & Zhang, Jingfang, 2020. "Distributional and temporal heterogeneity in the climate change effects on U.S. agriculture," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).

    Cited by:

    1. Xun Su & Minpeng Chen, 2022. "Econometric Approaches That Consider Farmers’ Adaptation in Estimating the Impacts of Climate Change on Agriculture: A Review," Sustainability, MDPI, vol. 14(21), pages 1-23, October.
    2. Cui, Xiaomeng & Zhong, Zheng, 2024. "Climate change, cropland adjustments, and food security: Evidence from China," Journal of Development Economics, Elsevier, vol. 167(C).
    3. Surender Kumar & Madhu Khanna, 2023. "Distributional heterogeneity in climate change impacts and adaptation: Evidence from Indian agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 147-160, March.
    4. C. A. K. Lovell, 2021. "The Pandemic, The Climate, and Productivity," CEPA Working Papers Series WP112021, School of Economics, University of Queensland, Australia.
    5. Yu, Chengzheng & Miao, Ruiqing & Khanna, Madhu, 2021. "Maladaptation of U.S. Corn and Soybean to a Changing Climate," 2021 Conference, August 17-31, 2021, Virtual 313798, International Association of Agricultural Economists.
    6. Litao Feng & Wei Liu & Zhihui Zhao & Yining Wang, 2023. "Rainfall fluctuations and rural poverty: Evidence from Chinese county‐level data," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(3), pages 633-656, July.
    7. Surender Kumar & Madhu Khanna, 2023. "Distributional heterogeneity in climate change impacts and adaptation: Evidence from Indian agriculture," Working papers 332, Centre for Development Economics, Delhi School of Economics.
    8. Litao Feng & Zhuo Li & Zhihui Zhao, 2021. "Extreme Climate Shocks and Green Agricultural Development: Evidence from the 2008 Snow Disaster in China," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    9. Seungki Lee & Yongjie Ji & GianCarlo Moschini, 2021. "Agricultural Innovation and Adaptation to Climate Change: Insights from Genetically Engineered Maize," Center for Agricultural and Rural Development (CARD) Publications 21-wp616, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    10. Yu, Chengzheng & Miao, Ruiqing & Khanna, Madhu, 2021. "Maladaptation of U.S. Corn and Soybean Yields to a Changing Climate," 2021 Conference, August 17-31, 2021, Virtual 315037, International Association of Agricultural Economists.
    11. Matsuki, Takashi & Pan, Lei, 2021. "Per capita carbon emissions convergence in developing Asia: A century of evidence from covariate unit root test with endogenous structural breaks," Energy Economics, Elsevier, vol. 99(C).

  6. Emir Malikov & Yiguo Sun & Diane Hite, 2019. "(Under)Mining local residential property values: A semiparametric spatial quantile autoregression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(1), pages 82-109, January.

    Cited by:

    1. Tadao Hoshino, 2024. "Functional Spatial Autoregressive Models," Papers 2402.14763, arXiv.org, revised May 2024.

  7. Subal C. Kumbhakar & Emir Malikov, 2018. "Good modeling of bad outputs: editors’ introduction," Empirical Economics, Springer, vol. 54(1), pages 1-6, February.

    Cited by:

    1. Amer Ait Sidhoum, 2023. "Assessing the contribution of farmers’ working conditions to productive efficiency in the presence of uncertainty, a nonparametric approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8601-8622, August.
    2. Amer Ait Sidhoum & Philipp Mennig & Johannes Sauer, 2023. "Do agri-environment measures help improve environmental and economic efficiency? Evidence from Bavarian dairy farmers," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(3), pages 918-953.

  8. Sun, Yiguo & Malikov, Emir, 2018. "Estimation and inference in functional-coefficient spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 203(2), pages 359-378.
    See citations under working paper version above.
  9. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    See citations under working paper version above.
  10. Tsionas, Efthymios G. & Malikov, Emir & Kumbhakar, Subal C., 2018. "An internally consistent approach to the estimation of market power and cost efficiency with an application to U.S. banking," European Journal of Operational Research, Elsevier, vol. 270(2), pages 747-760.
    See citations under working paper version above.
  11. Emir Malikov & Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2018. "Heterogeneous credit union production technologies with endogenous switching and correlated effects," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1095-1119, November.
    See citations under working paper version above.
  12. Malikov, Emir & Sun, Kai & Kumbhakar, Subal C., 2018. "Nonparametric estimates of the clean and dirty energy substitutability," Economics Letters, Elsevier, vol. 168(C), pages 118-122.
    See citations under working paper version above.
  13. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous scope economies in microfinance institutions," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 162-182.
    See citations under working paper version above.
  14. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric estimation and testing of smooth coefficient spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 199(1), pages 12-34.
    See citations under working paper version above.
  15. Emir Malikov & Shunan Zhao & Subal C. Kumbhakar, 2017. "Economies of diversification in the US credit union sector," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1329-1347, November.

    Cited by:

    1. Anne Musson & Damien Rousselière, 2018. "Exploring the effect of crisis on cooperatives: A Bayesian performance analysis of French craftsmen cooperatives," Working Papers hal-01911612, HAL.
    2. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.
    3. Zhang, Jingfang & Hartarska, Valentina & Malikov, Emir, 2021. "Product and geographic market diversification in U.S. banking," Finance Research Letters, Elsevier, vol. 42(C).
    4. Malikov, Emir & Hartarska, Valentina & Mersland, Roy, 2019. "Economies of Diversification in Microfinance: Evidence from Quantile Estimation on Panel Data," MPRA Paper 95935, University Library of Munich, Germany.
    5. Hartarska, Valentina M. & Zhang, Jingfang & Nadolnyak, Denis A., 2023. "Scope Economies from Rural and Urban Microfinance Services," 2023 Annual Meeting, July 23-25, Washington D.C. 335439, Agricultural and Applied Economics Association.
    6. Valentina Hartarska & Jingfang Zhang & Denis A. Nadolnyak, 2023. "Scope economies from rural and urban microfinance services," Southern Economic Journal, John Wiley & Sons, vol. 89(4), pages 1138-1167, April.

  16. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    See citations under working paper version above.
  17. Malikov, Emir, 2016. "Dynamic responses to oil price shocks: Conditional vs unconditional (a)symmetry," Economics Letters, Elsevier, vol. 139(C), pages 31-35.
    See citations under working paper version above.
  18. Emir Malikov & Subal C. Kumbhakar & Mike G. Tsionas, 2016. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of us Banks in 2001–2010," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1407-1429, November.
    See citations under working paper version above.
  19. Emir Malikov & Diego Restrepo-Tobón & Subal Kumbhakar, 2015. "Estimation of banking technology under credit uncertainty," Empirical Economics, Springer, vol. 49(1), pages 185-211, August.
    See citations under working paper version above.
  20. Emir Malikov & Subal C. Kumbhakar & Efthymios G. Tsionas, 2015. "Bayesian Approach to Disentangling Technical and Environmental Productivity," Econometrics, MDPI, vol. 3(2), pages 1-23, June.
    See citations under working paper version above.
  21. Efthymios G. Tsionas & Subal C. Kumbhakar & Emir Malikov, 2015. "Estimation of Input Distance Functions: A System Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1478-1493.
    See citations under working paper version above.
  22. Malikov, Emir & Kumbhakar, Subal C., 2014. "A generalized panel data switching regression model," Economics Letters, Elsevier, vol. 124(3), pages 353-357.
    See citations under working paper version above.

Chapters

  1. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2024. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 211-263, Emerald Group Publishing Limited.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.