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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. 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," Journal of Productivity Analysis, Springer, vol. 60(1), pages 1-19, August.

  2. 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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. Kumbhakar, Subal C. & Li, Mingyang & Zhao, Shunan, 2021. "Estimation of technical change: Direct semi/nonparametric approaches," Economics Letters, Elsevier, vol. 199(C).
    6. Jingfang Zhang & Emir Malikov, 2023. "Detecting Learning by Exporting and from Exporters," Journal of Productivity Analysis, Springer, vol. 60(1), pages 1-19, August.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.

  3. 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. V.K. Chetty & James J. Heckman, 2022. "Internal Adjustment Costs of Firm-Specific Factors and the Neoclassical Theory of the Firm," NBER Working Papers 30695, National Bureau of Economic Research, Inc.
    2. 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.
    3. 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).

  4. 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. 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.
    4. 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.

  5. 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. Asongu, Simplice A & Odhiambo, Nicholas M, 2018. "Size,effeciency,market power and economies of scale in the African banking sector," Working Papers 25168, University of South Africa, Department of Economics.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Sherrill Shaffer & Laura Spierdijk, 2019. "Measuring multi-product banks' market power using the Lerner index," CAMA Working Papers 2019-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. 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).
    8. 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.
    9. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    10. 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.

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

    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. Malikov, Emir & Hartarska, Valentina & Mersland, Roy, 2020. "Economies of diversification in microfinance: Evidence from quantile estimation on panel data," Finance Research Letters, Elsevier, vol. 34(C).
    7. 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. 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.
    9. 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).
    10. 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.

  7. 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. 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.
    2. Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018. "Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
    3. 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.
    4. Xuan Liang & Jiti Gao & Xiaodong Gong, 2022. "Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1784-1802, October.
    5. 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.
    6. 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.
    7. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. 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.
    9. 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.
    10. Konstantinidi, Antri & Kourtellos, Andros & Sun, Yiguo, 2023. "Social threshold regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 2057-2081.
    11. 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.
    12. 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.
    13. 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.
    14. 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.

  8. 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. 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.
    2. Huang, Danyang & Hu, Wei & Jing, Bingyi & Zhang, Bo, 2023. "Grouped spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    3. Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018. "Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
    4. 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.
    5. Xuan Liang & Jiti Gao & Xiaodong Gong, 2022. "Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1784-1802, October.
    6. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    7. 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.
    8. 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.
    9. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
    10. 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.
    11. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    12. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. 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.
    14. 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.

  9. 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. 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.
    2. 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.
    3. H Dakpo & Yann Desjeux & Laure Latruffe, 2023. "Cost of abating excess nitrogen on wheat plots in France: An assessment with multi‐technology modelling," Post-Print hal-04081036, HAL.
    4. 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.
    5. 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.
    6. 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.

  10. 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. Christian Ewerhart & Robertas Zubrickas, 2019. "Social preference and group identity in the financial cooperative," ECON - Working Papers 332, Department of Economics - University of Zurich.
    2. 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.

  11. 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. 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.
    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. 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.
    5. 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.

  12. 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. Roberto Mosheim & Robin C. Sickles, 2021. "Spatial effects of nutrient pollution on drinking water production," Empirical Economics, Springer, vol. 60(6), pages 2741-2764, June.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Shabbir Ahmad, 2017. "Estimating Input-Mix Efficiency in a Parametric Framework: Application to State-Level Agricultural Data for the United States," Economic Theory, Applications and Issues Working Papers 263149, University of Queensland, School of Economics.
    7. 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).
    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. 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.
    11. 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.
    12. 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.
    13. 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.

  13. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

  14. 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. 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.
    2. Tsionas, Mike & Parmeter, Christopher F. & Zelenyuk, Valentin, 2023. "Bayesian Artificial Neural Networks for frontier efficiency analysis," Journal of Econometrics, Elsevier, vol. 236(2).
    3. 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.
    4. Tsionas, Mike G., 2020. "A coherent approach to Bayesian Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 281(2), pages 439-448.
    5. Tsionas, Mike G., 2020. "Directional technology distance functions through duality," Economics Letters, Elsevier, vol. 190(C).
    6. 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.
    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., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.
    10. 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.
    11. 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.
    12. Mike G. Tsionas, 2020. "Remarks on Bank Competition and Convergence Dynamics," JRFM, MDPI, vol. 13(5), pages 1-5, May.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. Martin Boďa & Emília Zimková, 2021. "A DEA model for measuring financial intermediation," Economic Change and Restructuring, Springer, vol. 54(2), pages 339-370, May.
    18. Tsionas, Mike G., 2020. "Quantile Stochastic Frontiers," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1177-1184.
    19. Tsionas, Mike G., 2023. "Minimax regret priors for efficiency estimation," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1279-1285.
    20. Iosifidi, Maria & Panopoulou, Ekaterini & Tsoumas, Chris, 2021. "Mortgage loan demand and banks’ operational efficiency," Journal of Financial Stability, Elsevier, vol. 53(C).
    21. Kok Fong See & Shawna Grosskopf & Vivian Valdmanis & 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 WP072021, School of Economics, University of Queensland, Australia.
    22. Yaryna Kolomiytseva, 2018. "Revisiting Transformation and Directional Technology Distance Functions," Papers 1812.10108, arXiv.org.
    23. 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).
    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. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    26. 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.
    27. 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.
    28. 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.
    29. 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).
    30. Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
    31. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    32. Mike G. Tsionas, 2019. "Robust Bayesian Inference in Stochastic Frontier Models," JRFM, MDPI, vol. 12(4), pages 1-9, December.
    33. 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.
    34. 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).
    35. 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.
    36. 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.
    37. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    38. 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.
    39. Tsionas, Mike G., 2023. "Clustering and meta-envelopment in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 304(2), pages 763-778.
    40. Tsionas, Mike G., 2021. "Comparison of stochastic frontier models using the Hyvärinen factor," Economics Letters, Elsevier, vol. 202(C).
    41. 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.
    42. 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.
    43. 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.

  15. 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. Carolina Ortega Londono & Diego Restrepo, 2018. "Transmission of Monetary Policy and Bank Heterogeneity in Colombia," Documentos de Trabajo de Valor Público 16987, Universidad EAFIT.
    2. 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.
    3. 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.
    4. 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.
    5. Carolina Ortega Londono, 2018. "Transmission of Monetary Policy and Bank Heterogeneity in Colombia," Documentos de Trabajo de Valor Público 16792, Universidad EAFIT.

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

    Cited by:

    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    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.

  17. 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. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. Guohua Feng & Jiti Gao & Bin Peng, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Papers 1903.07948, arXiv.org.
    7. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous scope economies in microfinance institutions," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 162-182.
    8. 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).

  18. 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. 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.
    2. 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.
    3. Jingfang Zhang & Emir Malikov, 2023. "Off-Balance Sheet Activities and Scope Economies in U.S. Banking," Papers 2302.14603, arXiv.org.
    4. Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Discussion Paper 2015-036, Tilburg University, Center for Economic Research.
    5. 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.
    6. 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.
    7. 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).
    8. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Working Papers 202013, University of California at Riverside, Department of Economics, revised Jun 2020.
    9. Weber, Thomas A., 2022. "Optimal matching of random parts," Journal of Mathematical Economics, Elsevier, vol. 101(C).
    10. 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.
    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. 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.

Articles

  1. 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, 2023. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Papers 2302.13429, arXiv.org.

  2. 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.
  3. 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.
  4. 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. 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.
    2. C. A. K. Lovell, 2021. "The Pandemic, The Climate, and Productivity," CEPA Working Papers Series WP112021, School of Economics, University of Queensland, Australia.
    3. 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.
    4. 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.
    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. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.

  5. 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 & 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.
    2. 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.

  6. 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.
  7. 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.
  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.
    See citations under working paper version above.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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. 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.
    3. Malikov, Emir & Hartarska, Valentina & Mersland, Roy, 2020. "Economies of diversification in microfinance: Evidence from quantile estimation on panel data," Finance Research Letters, Elsevier, vol. 34(C).
    4. Zhang, Jingfang & Hartarska, Valentina & Malikov, Emir, 2021. "Product and geographic market diversification in U.S. banking," Finance Research Letters, Elsevier, vol. 42(C).
    5. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous scope economies in microfinance institutions," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 162-182.
    6. 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.

  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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

    Sorry, no citations of chapters recorded.
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