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Mamata Parhi

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. Arabsheibani, G. Reza & Gupta, Prashant & Mishra, Tapas & Parhi, Mamata, 2018. "Wage differential between caste groups: are younger and older cohorts different?," LSE Research Online Documents on Economics 90510, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Camacho, Carmen & Hassan, Waleed, 2023. "The dynamics of revolution: Discrimination, social unrest and the optimal timing of revolution," Economic Modelling, Elsevier, vol. 128(C).
    2. Soumyajit Chakraborty & Alok K. Bohara, 2021. "The Cost of Being ‘Backward’ in India: Socio-religious Discrimination in the Labour Market," Indian Journal of Human Development, , vol. 15(2), pages 252-274, August.
    3. Pallavi Gupta & Satyanarayan Kothe, 2021. "Interpreting the Caste-based Earning Gaps in the Indian Labour Market: Theil and Oaxaca Decomposition Analysis," Papers 2110.06822, arXiv.org.
    4. Yasser Razak Hussain & Pranab Mukhopadhyay, 2023. "How Much do Education, Experience, and Social Networks Impact Earnings in India? A Panel Data Analysis Disaggregated by Class, Gender, Caste and Religion," SAGE Open, , vol. 13(4), pages 21582440231, December.
    5. Livini Donath & Oliver Morrissey & Trudy Owens, 2021. "Pay period and the distributional effect of education on earnings: Evidence from recentered influence function," Discussion Papers 2021-02, University of Nottingham, CREDIT.
    6. Tiwari, Chhavi & Goli, Srinivas & Siddiqui, Mohammad Zahid & Salve, Pradeep, 2022. "Poverty, wealth inequality, and financial inclusion among castes in Hindu and Muslim communities in Uttar Pradesh, India," SocArXiv 96tgm, Center for Open Science.
    7. Castagnetti, Carolina & Giorgetti, Maria Letizia, 2019. "Understanding the gender wage-gap differential between the public and private sectors in Italy: A quantile approach," Economic Modelling, Elsevier, vol. 78(C), pages 240-261.

  2. Claude Diebolt & Tapas Mishra & Mamata Parhi, 2016. "Dynamics of Distribution and Diffusion of New Technology," Post-Print hal-01762088, HAL.

    Cited by:

    1. Supun S. Perera & Michael G. H. Bell & Mahendrarajah Piraveenan & Dharshana Kasthurirathna & Mamata Parhi, 2018. "Topological Structure of Manufacturing Industry Supply Chain Networks," Complexity, Hindawi, vol. 2018, pages 1-23, October.
    2. Tiwari, Rajnish & Kalogerakis, Katharina, 2017. "Innovation pathways and trajectories in India's auto component industry," Working Papers 98, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    3. Kalogerakis, Katharina & Fischer, Luise & Tiwari, Rajnish, 2017. "A comparison of German and Indian innovation pathways in the auto component industry," Working Papers 100, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    4. Christoph Engel & Alon Klement & Karen Weinshall Margel, 2017. "Diffusion of Legal Innovations: The Case of Israeli Class Actions," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2017_11, Max Planck Institute for Research on Collective Goods, revised Jan 2018.
    5. Ivanov, Stanislav & Webster, Craig & Garenko, Aleksandra, 2018. "Young Russian adults' attitudes towards the potential use of robots in hotels," Technology in Society, Elsevier, vol. 55(C), pages 24-32.
    6. Adel Ben Khalifa, 2022. "Inter- and Intra-firm Diffusion of Technology: the Example of Software, Hardware, and Network Communications Empirical Evidence for Tunisian Manufacturing Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 236-263, March.

  3. Tapas Mishra & Mamata Parhi & Claude Diebolt & Prashant Gupta, 2015. "Environmental Kuznets Curve and Economic Growth: The Role of Institutional Quality and Distributional Heterogeneity Revisited," Working Papers of BETA 2015-05, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    Cited by:

    1. Okon Emmanuel O., 2021. "Nigeria: Is There an Environmental Kuznets Curve for Fluorinated Gases?," Open Economics, De Gruyter, vol. 4(1), pages 57-71, January.

  4. Théophile Azomahou & Tapas Mishra & Mamata Parhi, 2015. "Economic Growth under Stochastic Population and Pollution Shocks," Post-Print hal-01736166, HAL.

    Cited by:

    1. Simone Marsiglio, 2017. "A simple endogenous growth model with endogenous fertility and environmental concern," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(3), pages 263-282, July.
    2. Mustafa Akan, 2016. "Sustainability, Consumption, And Technology," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 5(2), pages 9-25.

  5. Tapas Mishra & Mamata Parhi & Claude Diebolt, 2014. "Evolutionary efficiency and distributive effects of inertia in cross-country life-satisfaction," Working Papers 06-14, Association Française de Cliométrie (AFC).

    Cited by:

    1. Tapas MISHRA & Mamata PARHI & Claude DIEBOLT, 2014. "Evolutionary efficiency and distributive effects of inertia in cross-country life-satisfaction," Economies et Sociétés (Serie 'Histoire Economique Quantitative'), Association Française de Cliométrie (AFC), issue 49, pages 1335-1356, Août.

  6. Peter Huxley & Tapas Mishra & Bazoumana Ouattara & Mamata Parhi, 2013. "Understanding Determinants of Happiness under Uncertainty," Working Papers 02-13, Association Française de Cliométrie (AFC).

    Cited by:

    1. Claude Diebolt & Faustine Perrin, 2013. "The Foundations of Female Empowerment Revisited," Working Papers 06-13, Association Française de Cliométrie (AFC).
    2. Claude Diebolt & Faustine Perrin, 2013. "From Stagnation to Sustained Growth: The Role of Female Empowerment," Working Papers 04-13, Association Française de Cliométrie (AFC).
    3. Thi Hong Van Hoang & Hooi Hooi Lean & Wing-Keung Wong, 2013. "Is Gold Good for Portfolio Diversification? A Stochastic Dominance Analysis of the Paris Stock Exchange," Working Papers 05-13, Association Française de Cliométrie (AFC).
    4. Mariangela Bonasia & Oreste Napolitano & Nicola Spagnolo, 2018. "Happy PIIGS?," Journal of Happiness Studies, Springer, vol. 19(6), pages 1763-1782, August.
    5. Tapas Mishra & Mamata Parhi & Raúl Fuentes, 2015. "How Interdependent are Cross-Country Happiness Dynamics?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 491-518, June.

  7. Mamata Parhi & Claude Diebolt & Tapas Mishra & Prashant Gupta, 2012. "Convergence dynamics of output: Do stochastic shocks and social polarization matter?," Working Papers 12-10, Association Française de Cliométrie (AFC).

    Cited by:

    1. Iulia Andreea BUCUR & Oana Ancuta STANGACIU, 2015. "The European Union Convergence In Terms Of Economic And Human Development," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 7(2), pages 256-275, August.
    2. Arabsheibani, Gholamreza & Gupta, Prashant & Mishra, Tapas & Parhi, Mamata, 2018. "Wage differential between caste groups: Are younger and older cohorts different?," Economic Modelling, Elsevier, vol. 74(C), pages 10-23.
    3. Desli, E. & Gkoulgkoutsika, A., 2020. "World economic convergence: Does the estimation methodology matter?," Economic Modelling, Elsevier, vol. 91(C), pages 138-147.
    4. Alhussaini, Abdullah & Parhi, Mamata, 2022. "How do economies adjust speed at uncertain times?," Research in International Business and Finance, Elsevier, vol. 63(C).
    5. Jangam, Bhushan Praveen & Rath, Badri Narayan, 2020. "Cross-country convergence in global value chains: Evidence from club convergence analysis," International Economics, Elsevier, vol. 163(C), pages 134-146.

  8. Mishra Tapas & Prskawetz Alexia & Parhi Mamata & Diebolt Claude, 2009. "A Note on Long-Memory in Population and Economic Growth," Working Papers 09-06, Association Française de Cliométrie (AFC).

    Cited by:

    1. Tapas Mishra & Claude Diebolt & Mamata Parhi, 2010. "Stochasticity in Population and Economic Growth with Past Dependence," Working Papers 10-10, Association Française de Cliométrie (AFC).
    2. David Grreasley, 2010. "Cliometrics and Time Series Econometrics: Some Theory and Applications," Working Papers in Economics 10/56, University of Canterbury, Department of Economics and Finance.

  9. Mamata Parhi, 2008. "Impact of Changing Facets of Inter-firm Interactions on Manufacturing Excellence: A Social Network Perspective of Indian Automotive Industry," Working Papers of BETA 2008-08, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    Cited by:

    1. Supun S. Perera & Michael G. H. Bell & Mahendrarajah Piraveenan & Dharshana Kasthurirathna & Mamata Parhi, 2018. "Topological Structure of Manufacturing Industry Supply Chain Networks," Complexity, Hindawi, vol. 2018, pages 1-23, October.

  10. Mishra, Tapas & Jumah, Adusei & Parhi, Mamata, 2008. "Age-structured Human Capital and Spatial Total Factor Productivity Dynamics," Economics Series 226, Institute for Advanced Studies.

    Cited by:

    1. Claude Diebolt & Tapas Mishra & Bazoumana Ouattara & Mamata Parhi, 2010. "Does democratic distance matter for cross-country growth interdependence?," Working Papers 10-12, Association Française de Cliométrie (AFC).

  11. Mamata Parhi & Tapas Mishra, 2008. "Spatial Growth Volatility and Age-structured Human Capital Dynamics in Europe," Working Papers of BETA 2008-04, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    Cited by:

    1. Claude Diebolt & Tapas Mishra & Bazoumana Ouattara & Mamata Parhi, 2013. "Democracy and Economic Growth in an Interdependent World," Review of International Economics, Wiley Blackwell, vol. 21(4), pages 733-749, September.

  12. Tapas Mishra & Mamata Parhi & Claude Diebolt, 2008. "Human Capital Accumulation and Spatial TFP Interdependence," Working Papers 08-12, Association Française de Cliométrie (AFC).

    Cited by:

    1. Urszula Markowska-Przybyła, 2020. "Does Social Capital Matter for Total Factor Productivity? Exploratory Evidence from Poland," Sustainability, MDPI, vol. 12(23), pages 1-25, November.
    2. Asma Saeed & Zahoor Ul Haq & Javed Iqbal, 2018. "Productivity in the Emerging Asian Economies," Global Regional Review, Humanity Only, vol. 3(1), pages 265-280, June.
    3. Xiao Dai & Jian Wu & Liang Yan & Qian Zhang & Fangli Ruan & Dan Wang, 2019. "Industrial Structure Restructuring, Production Factor Allocation Analysis: Based on a Mineral Resource-Intensive City—Jiaozuo City," Sustainability, MDPI, vol. 11(4), pages 1-19, February.

  13. Parhi, Mamata, 2005. "Diffusion of New Technology in Indian Auto Component Industry: An Examination of the Determinants of Adoption," UNU-INTECH Discussion Paper Series 2005-08, United Nations University - INTECH.

    Cited by:

    1. Adel Ben Khalifa, 2018. "Government Supports and Technology Adoption: Evidence from Tunisia," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 43(4), pages 41-70, December.
    2. Adel Ben Khalifa, 2022. "Inter- and Intra-firm Diffusion of Technology: the Example of Software, Hardware, and Network Communications Empirical Evidence for Tunisian Manufacturing Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 236-263, March.

Articles

  1. Mishra, Tapas & Park, Donghyun & Parhi, Mamata & Uddin, Gazi Salah & Tian, Shu, 2023. "A memory in the bond: Green bond and sectoral investment interdependence in a fractionally cointegrated VAR framework," Energy Economics, Elsevier, vol. 121(C).

    Cited by:

    1. Shikta Sing & Supun Chandrasena & Yue Shi & Abdullah Alhussain & Claude DIEBOLT & Martin Enilov & Tapas Mishra, 2024. "A Learning Model with Memory in the Financial Markets," Working Papers 06-24, Association Française de Cliométrie (AFC).

  2. Subhadip Mukherjee & Soumyatanu Mukherjee & Tapas Mishra & Udo Broll & Mamata Parhi, 2021. "Spot exchange rate volatility, uncertain policies and export investment decision of firms: a mean-variance decision approach," The European Journal of Finance, Taylor & Francis Journals, vol. 27(8), pages 752-773, May.

    Cited by:

    1. Padhi, Sidhartha S. & Mukherjee, Soumyatanu & Edwin Cheng, T.C., 2024. "Optimal investment decision for industry 4.0 under uncertainties of capability and competence building for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 267(C).
    2. Soumyatanu Mukherjee & Sidhartha S. Padhi, 2022. "Sourcing decision under interconnected risks: an application of mean–variance preferences approach," Annals of Operations Research, Springer, vol. 313(2), pages 1243-1268, June.
    3. Subhadip Mukherjee & Soumyatanu Mukherjee & Mamata Parhi & Kun Duan & Ahmed Usman, 2024. "A risk–return trade‐off or co‐movement? Are food processing firms risk‐averse?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2176-2192, April.
    4. Huang, Chenchen & Luo, Di & Mukherjee, Soumyatanu & Mishra, Tapas, 2022. "To Acquire or to Ally? Managing Partners’ Environmental Risk in International Expansion," MPRA Paper 121808, University Library of Munich, Germany, revised 07 Jan 2023.

  3. Gillaizeau, Marc & Jayasekera, Ranadeva & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata & Volokitina, Evgeniia, 2019. "Giver and the receiver: Understanding spillover effects and predictive power in cross-market Bitcoin prices," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 86-104.

    Cited by:

    1. Duan, Kun & Li, Zeming & Urquhart, Andrew & Ye, Jinqiang, 2021. "Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    2. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Forecasting, MDPI, vol. 3(2), pages 1-44, May.
    3. Duan, Kun & Zhang, Liya & Urquhart, Andrew & Yao, Kai & Peng, Long, 2024. "Do clean and dirty cryptocurrencies connect financial assets differently? The perspective of market inefficiency," Research in International Business and Finance, Elsevier, vol. 70(PB).
    4. Wang, Jinghua & Ngene, Geoffrey M., 2020. "Does Bitcoin still own the dominant power? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    5. N. Arfaoui & M.A. Naeem & S. Boubaker & N. Mirza & S. Karim, 2023. "Interdependence of Clean Energy and Green Markets with Cryptocurrencies," Post-Print hal-04435467, HAL.
    6. Tobias Burggraf, 2020. "Bitcoin and Global Political Uncertainty – Evidence from the U.S. Election Cycle," Economics Bulletin, AccessEcon, vol. 40(1), pages 727-742.
    7. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    8. Tiantian Liu & Tadahiro Nakajima & Shigeyuki Hamori, 2022. "The impact of economic uncertainty caused by COVID-19 on renewable energy stocks," Empirical Economics, Springer, vol. 62(4), pages 1495-1515, April.
    9. Jiang, Wen & Xu, Qiuhua & Zhang, Ruige, 2022. "Tail-event driven network of cryptocurrencies and conventional assets," Finance Research Letters, Elsevier, vol. 46(PB).
    10. Huang, Yingying & Duan, Kun & Mishra, Tapas, 2021. "Is Bitcoin really more than a diversifier? A pre- and post-COVID-19 analysis," Finance Research Letters, Elsevier, vol. 43(C).
    11. Duan, Kun & Gao, Yang & Mishra, Tapas & Satchell, Stephen, 2023. "Efficiency dynamics across segmented Bitcoin Markets: Evidence from a decomposition strategy," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    12. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2022. "Time and frequency spillovers between political risk and the stock returns of China's rare earths," Resources Policy, Elsevier, vol. 75(C).
    13. Stelios Bekiros & Axel Hedström & Evgeniia Jayasekera & Tapas Mishra & Gazi Salah Uddin, 2021. "Correlated at the Tail: Implications of Asymmetric Tail-Dependence Across Bitcoin Markets," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1289-1299, December.
    14. Luo, Di & Mishra, Tapas & Yarovaya, Larisa & Zhang, Zhuang, 2021. "Investing during a Fintech Revolution: Ambiguity and return risk in cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    15. Zhang, Dingxuan & Sun, Yuying & Duan, Hongbo & Hong, Yongmiao & Wang, Shouyang, 2023. "Speculation or currency? Multi-scale analysis of cryptocurrencies—The case of Bitcoin," International Review of Financial Analysis, Elsevier, vol. 88(C).
    16. Nikolaos A. Kyriazis, 2019. "A Survey on Empirical Findings about Spillovers in Cryptocurrency Markets," JRFM, MDPI, vol. 12(4), pages 1-17, November.
    17. Costantini, Mauro & Maaitah, Ahmad & Mishra, Tapas & Sousa, Ricardo M., 2023. "Bitcoin market networks and cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    18. Fousekis, Panos & Tzaferi, Dimitra, 2021. "Returns and volume: Frequency connectedness in cryptocurrency markets," Economic Modelling, Elsevier, vol. 95(C), pages 13-20.
    19. Sofiane Aboura, 2022. "A note on the Bitcoin and Fed Funds rate," Empirical Economics, Springer, vol. 63(5), pages 2577-2603, November.
    20. Abubakr Naeem, Muhammad & Iqbal, Najaf & Lucey, Brian M. & Karim, Sitara, 2022. "Good versus bad information transmission in the cryptocurrency market: Evidence from high-frequency data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    21. Proelss, Juliane & Sévigny, Stéphane & Schweizer, Denis, 2023. "GameFi: The perfect symbiosis of blockchain, tokens, DeFi, and NFTs?," International Review of Financial Analysis, Elsevier, vol. 90(C).
    22. Nikolaos A. Kyriazis, 2021. "Investigating the diversifying or hedging nexus of cannabis cryptocurrencies with major digital currencies," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 845-861, December.

  4. Kun Duan & Tapas Mishra & Mamata Parhi & Simon Wolfe, 2019. "How Effective are Policy Interventions in a Spatially-Embedded International Real Estate Market?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 596-637, May.

    Cited by:

    1. Sihan Zhang & Ming‐ang Zhang & Weizeng Sun, 2022. "Administrative Division Adjustment and Housing Price Comovement: Evidence from City‐County Mergers in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(4), pages 149-173, July.
    2. Luo, Di & Mishra, Tapas & Yarovaya, Larisa & Zhang, Zhuang, 2021. "Investing during a Fintech Revolution: Ambiguity and return risk in cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    3. Ma, Qiang & Khan, Zeeshan & Chen, Fuzhong & Murshed, Muntasir & Siqun, Yang & Kirikkaleli, Dervis, 2023. "Revisiting the nexus between house pricing and money demand: Power spectrum and wavelet coherence based approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 266-274.
    4. Rosen Azad Chowdhury & Dilshad Jahan & Tapas Mishra & Mamata Parhi, 2024. "Monetary policy shock and impact asymmetry in bank lending channel: Evidence from the UK housing sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 511-530, January.
    5. Wojciech Kisiała & Izabela Rącka, 2021. "Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    6. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    7. Xiaotong Guo & Lingyan Li & Haiyan Xie & Wei Shi, 2020. "Improved Multi-Objective Optimization Model for Policy Design of Rental Housing Market," Sustainability, MDPI, vol. 12(14), pages 1-23, July.

  5. Duan, Kun & Mishra, Tapas & Parhi, Mamata, 2018. "Space matters: Understanding the real effects of macroeconomic variations in cross-country housing price movements," Economics Letters, Elsevier, vol. 163(C), pages 130-135.

    Cited by:

    1. Khamis Hamed Al-Yahyaee & Walid Mensi & Hee-Un Ko & Massimiliano Caporin & Sang Hoon Kang, 2021. "Is the Korean housing market following Gangnam style?," Empirical Economics, Springer, vol. 61(4), pages 2041-2072, October.
    2. Klarl, Torben, 2018. "Housing is local: Applying a dynamic unobserved factor model for the Dutch housing market," Economics Letters, Elsevier, vol. 170(C), pages 79-84.

  6. Arabsheibani, Gholamreza & Gupta, Prashant & Mishra, Tapas & Parhi, Mamata, 2018. "Wage differential between caste groups: Are younger and older cohorts different?," Economic Modelling, Elsevier, vol. 74(C), pages 10-23.
    See citations under working paper version above.
  7. Supun S. Perera & Michael G. H. Bell & Mahendrarajah Piraveenan & Dharshana Kasthurirathna & Mamata Parhi, 2018. "Topological Structure of Manufacturing Industry Supply Chain Networks," Complexity, Hindawi, vol. 2018, pages 1-23, October.

    Cited by:

    1. Dharshana Kasthurirathna & Prasan Ratnayake & Mahendra Piraveenan, 2022. "Disassortative Mixing and Systemic Rational Behaviour: How System Rationality Is Influenced by Topology and Placement in Networked Systems," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    2. Shi, Xiaoqiu & Long, Wei & Li, Yanyan & Deng, Dingshan, 2022. "Robustness of interdependent supply chain networks against both functional and structural cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    3. Prasan Ratnayake & Sugandima Weragoda & Janaka Wansapura & Dharshana Kasthurirathna & Mahendra Piraveenan, 2021. "Quantifying the Robustness of Complex Networks with Heterogeneous Nodes," Mathematics, MDPI, vol. 9(21), pages 1-20, November.

  8. Cheah, Eng-Tuck & Mishra, Tapas & Parhi, Mamata & Zhang, Zhuang, 2018. "Long Memory Interdependency and Inefficiency in Bitcoin Markets," Economics Letters, Elsevier, vol. 167(C), pages 18-25.

    Cited by:

    1. OlaOluwa S. Yaya & Ahamuefula E. Ogbonna & Robert Mudida & Nuruddeen Abu, 2021. "Market efficiency and volatility persistence of cryptocurrency during pre‐ and post‐crash periods of Bitcoin: Evidence based on fractional integration," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1318-1335, January.
    2. Koutmos, Dimitrios, 2018. "Return and volatility spillovers among cryptocurrencies," Economics Letters, Elsevier, vol. 173(C), pages 122-127.
    3. Onur Özdemir & Anoop S. Kumar, 2024. "Dynamic Efficiency and Herd Behavior During Pre- and Post-COVID-19 in the NFT Market: Evidence from Multifractal Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1255-1279, March.
    4. Assaf, Ata & Bhandari, Avishek & Charif, Husni & Demir, Ender, 2022. "Multivariate long memory structure in the cryptocurrency market: The impact of COVID-19," International Review of Financial Analysis, Elsevier, vol. 82(C).
    5. Ata Assaf & Luis Alberiko Gil-Alana & Khaled Mokni, 2022. "True or spurious long memory in the cryptocurrency markets: evidence from a multivariate test and other Whittle estimation methods," Empirical Economics, Springer, vol. 63(3), pages 1543-1570, September.
    6. Hu, Yang & Valera, Harold Glenn A. & Oxley, Les, 2019. "Market efficiency of the top market-cap cryptocurrencies: Further evidence from a panel framework," Finance Research Letters, Elsevier, vol. 31(C), pages 138-145.
    7. Jamal Bouoiyour & Refk Selmi, 2019. "How do futures contracts affect Bitcoin prices ?," Post-Print hal-02126234, HAL.
    8. Duan, Kun & Li, Zeming & Urquhart, Andrew & Ye, Jinqiang, 2021. "Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    9. Corbet, Shaen & Lucey, Brian & Urquhart, Andrew & Yarovaya, Larisa, 2019. "Cryptocurrencies as a financial asset: A systematic analysis," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 182-199.
    10. Afees A. Salisu & Idris Adediran, 2018. "Testing for time-varying stochastic volatility in Bitcoin returns," Working Papers 060, Centre for Econometric and Allied Research, University of Ibadan.
    11. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Olubusoye, Olusanya E, 2018. "How Persistent and Dependent are Pricing of Bitcoin to other Cryptocurrencies Before and After 2017/18 Crash?," MPRA Paper 91253, University Library of Munich, Germany.
    12. Corbet, Shaen & Katsiampa, Paraskevi & Lau, Chi Keung Marco, 2020. "Measuring quantile dependence and testing directional predictability between Bitcoin, altcoins and traditional financial assets," International Review of Financial Analysis, Elsevier, vol. 71(C).
    13. Saketh Aleti & Bruce Mizrach, 2021. "Bitcoin spot and futures market microstructure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 194-225, February.
    14. Eugene Tartakovsky & Ksenia Plesovskikh & Anastasiia Sarmakeeva & Alexander Bibik, 2020. "Autocorrelation of returns in major cryptocurrency markets," Papers 2003.13517, arXiv.org, revised Mar 2020.
    15. Akihiko Noda, 2019. "On the Evolution of Cryptocurrency Market Efficiency," Papers 1904.09403, arXiv.org, revised Jul 2020.
    16. Lim, King Yoong & Liu, Chunping & Zhang, Shuonan, 2024. "Optimal central banking policies: Envisioning the post-digital yuan economy with loan prime rate-setting," Emerging Markets Review, Elsevier, vol. 59(C).
    17. Pedro Palos-Sanchez & Jose Ramon Saura & Raquel Ayestaran, 2021. "An Exploratory Approach to the Adoption Process of Bitcoin by Business Executives," Mathematics, MDPI, vol. 9(4), pages 1-23, February.
    18. Yi, Eojin & Ahn, Kwangwon & Choi, M.Y., 2022. "Cryptocurrency: Not far from equilibrium," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    19. Tsang, Kwok Ping & Yang, Zichao, 2020. "Price dispersion in bitcoin exchanges," Economics Letters, Elsevier, vol. 194(C).
    20. Gronwald, Marc, 2019. "Is Bitcoin a Commodity? On price jumps, demand shocks, and certainty of supply," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 86-92.
    21. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    22. Leonardo Ieracitano Vieira & Márcio Poletti Laurini, 2023. "Time-varying higher moments in Bitcoin," Digital Finance, Springer, vol. 5(2), pages 231-260, June.
    23. Grobys, Klaus, 2023. "A Fractal and Comparative View of the Memory of Bitcoin and S&P 500 Returns," Research in International Business and Finance, Elsevier, vol. 66(C).
    24. Wang, Fang & Gacesa, Marko, 2023. "Semi-strong efficient market of Bitcoin and Twitter: An analysis of semantic vector spaces of extracted keywords and light gradient boosting machine models," International Review of Financial Analysis, Elsevier, vol. 88(C).
    25. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2022. "Cryptocurrency returns under empirical asset pricing," International Review of Financial Analysis, Elsevier, vol. 82(C).
    26. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Gabauer, David, 2019. "Cryptocurrency market contagion: Market uncertainty, market complexity, and dynamic portfolios," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 37-51.
    27. Tanya Araújo & Paulo Barbosa, 2024. "Reconstructing Cryptocurrency Processes via Markov Chains," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2509-2521, October.
    28. Ángeles Cebrián-Hernández & Enrique Jiménez-Rodríguez, 2021. "Modeling of the Bitcoin Volatility through Key Financial Environment Variables: An Application of Conditional Correlation MGARCH Models," Mathematics, MDPI, vol. 9(3), pages 1-16, January.
    29. Arun Narayanasamy & Humnath Panta & Rohit Agarwal, 2023. "Relations among Bitcoin Futures, Bitcoin Spot, Investor Attention, and Sentiment," JRFM, MDPI, vol. 16(11), pages 1-24, November.
    30. Carol Alexander & Daniel F. Heck & Andreas Kaeck, 2022. "The Role of Binance in Bitcoin Volatility Transmission," Applied Mathematical Finance, Taylor & Francis Journals, vol. 29(1), pages 1-32, January.
    31. Zhao, Yingxiu & Goodell, John W. & Shen, Dehua, 2024. "Spillover effects according to classification of cryptocurrency," Finance Research Letters, Elsevier, vol. 65(C).
    32. Li, Xiao & Wu, Ruoxi & Wang, Chen, 2024. "Impacts of bitcoin on monetary system: Is China's bitcoin ban necessary?," Research in International Business and Finance, Elsevier, vol. 69(C).
    33. Katsiampa, Paraskevi & Corbet, Shaen & Lucey, Brian, 2019. "High frequency volatility co-movements in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 35-52.
    34. Pal, Debdatta & Mitra, Subrata K., 2019. "Hedging bitcoin with other financial assets," Finance Research Letters, Elsevier, vol. 30(C), pages 30-36.
    35. Mensi, Walid & Lee, Yun-Jung & Al-Yahyaee, Khamis Hamed & Sensoy, Ahmet & Yoon, Seong-Min, 2019. "Intraday downward/upward multifractality and long memory in Bitcoin and Ethereum markets: An asymmetric multifractal detrended fluctuation analysis," Finance Research Letters, Elsevier, vol. 31(C), pages 19-25.
    36. Takahiro Hattori & Ryo Ishida, 2021. "The relationship between arbitrage in futures and spot markets and Bitcoin price movements: Evidence from the Bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 105-114, January.
    37. Fang Wang & Marko Gacesa, 2024. "Semi-strong Efficient Market of Bitcoin and Twitter: an Analysis of Semantic Vector Spaces of Extracted Keywords and Light Gradient Boosting Machine Models," Papers 2409.15988, arXiv.org.
    38. Qureshi, Saba & Aftab, Muhammad & Bouri, Elie & Saeed, Tareq, 2020. "Dynamic interdependence of cryptocurrency markets: An analysis across time and frequency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    39. Piyachart Phiromswad & Pattanaporn Chatjuthamard & Sirimon Treepongkaruna & Sabin Srivannaboon, 2021. "Jumps and Cojumps analyses of major and minor cryptocurrencies," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-9, February.
    40. Dimitrios Koutmos & Timothy King & Constantin Zopounidis, 2021. "Hedging uncertainty with cryptocurrencies: Is bitcoin your best bet?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 815-837, December.
    41. Muhammad Owais Qarni & Saiqb Gulzar, 2021. "Portfolio diversification benefits of alternative currency investment in Bitcoin and foreign exchange markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    42. Assaf, Ata & Demir, Ender & Mokni, Khaled, 2024. "Exploring connectedness among cryptocurrency, technology communication, and FinTech through dynamic and fractal analysis," Finance Research Letters, Elsevier, vol. 63(C).
    43. Chaim, Pedro & Laurini, Márcio P., 2019. "Nonlinear dependence in cryptocurrency markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 32-47.
    44. Beatriz Vaz de Melo Mendes & André Fluminense Carneiro, 2020. "A Comprehensive Statistical Analysis of the Six Major Crypto-Currencies from August 2015 through June 2020," JRFM, MDPI, vol. 13(9), pages 1-21, August.
    45. Assaf, Ata & Mokni, Khaled & Yousaf, Imran & Bhandari, Avishek, 2023. "Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19," Research in International Business and Finance, Elsevier, vol. 64(C).
    46. Stelios Bekiros & Axel Hedström & Evgeniia Jayasekera & Tapas Mishra & Gazi Salah Uddin, 2021. "Correlated at the Tail: Implications of Asymmetric Tail-Dependence Across Bitcoin Markets," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1289-1299, December.
    47. Aysan, Ahmet Faruk & Demir, Ender & Gozgor, Giray & Lau, Chi Keung Marco, 2019. "Effects of the geopolitical risks on Bitcoin returns and volatility," Research in International Business and Finance, Elsevier, vol. 47(C), pages 511-518.
    48. Valadkhani, Abbas, 2023. "Asymmetric downside risk across different sectors of the US equity market," Global Finance Journal, Elsevier, vol. 57(C).
    49. Pınar Kaya Soylu & Mustafa Okur & Özgür Çatıkkaş & Z. Ayca Altintig, 2020. "Long Memory in the Volatility of Selected Cryptocurrencies: Bitcoin, Ethereum and Ripple," JRFM, MDPI, vol. 13(6), pages 1-21, May.
    50. Christian Conrad & Anessa Custovic & Eric Ghysels, 2018. "Long- and Short-Term Cryptocurrency Volatility Components: A GARCH-MIDAS Analysis," JRFM, MDPI, vol. 11(2), pages 1-12, May.
    51. Randy Priem, 2020. "Distributed ledger technology for securities clearing and settlement: benefits, risks, and regulatory implications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-25, December.
    52. Wang, Qiyu & Chong, Terence Tai-Leung, 2021. "Factor pricing of cryptocurrencies," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    53. Omane-Adjepong, Maurice & Alagidede, Paul & Akosah, Nana Kwame, 2019. "Wavelet time-scale persistence analysis of cryptocurrency market returns and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 105-120.
    54. Sangram Keshari Jena & Aviral Kumar Tiwari & Buhari Doğan & Shawkat Hammoudeh, 2022. "Are the top six cryptocurrencies efficient? Evidence from time‐varying long memory," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3730-3740, July.
    55. Conlon, Thomas & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2024. "Bitcoin forks: What drives the branches?," Research in International Business and Finance, Elsevier, vol. 69(C).
    56. Kakinaka, Shinji & Umeno, Ken, 2022. "Asymmetric volatility dynamics in cryptocurrency markets on multi-time scales," Research in International Business and Finance, Elsevier, vol. 62(C).
    57. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Akinsomi, Omokolade & Coskun, Yener, 2020. "How do stocks in BRICS co-move with real estate stocks?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 93-101.
    58. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
    59. Siwen Zhou, 2021. "Exploring the driving forces of the Bitcoin currency exchange rate dynamics: an EGARCH approach," Empirical Economics, Springer, vol. 60(2), pages 557-606, February.
    60. Costantini, Mauro & Maaitah, Ahmad & Mishra, Tapas & Sousa, Ricardo M., 2023. "Bitcoin market networks and cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    61. Zhou, Siwen, 2018. "Exploring the Driving Forces of the Bitcoin Exchange Rate Dynamics: An EGARCH Approach," MPRA Paper 89445, University Library of Munich, Germany.
    62. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    63. V Dimitrova & M Fernández-Martínez & M A Sánchez-Granero & J E Trinidad Segovia, 2019. "Some comments on Bitcoin market (in)efficiency," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-14, July.
    64. Rama K. Malladi & Prakash L. Dheeriya, 2021. "Time series analysis of Cryptocurrency returns and volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(1), pages 75-94, January.
    65. Ahmed H. Elsayed & Giray Gozgor & Chi Keung Marco Lau, 2022. "Causality and dynamic spillovers among cryptocurrencies and currency markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2026-2040, April.
    66. Pradipta Kumar Sahoo & Dinabandhu Sethi, 2024. "Market efficiency of the cryptocurrencies: Some new evidence based on price–volume relationship," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1569-1580, April.
    67. Toan Luu Duc Huynh, 2019. "Spillover Risks on Cryptocurrency Markets: A Look from VAR-SVAR Granger Causality and Student’s-t Copulas," JRFM, MDPI, vol. 12(2), pages 1-19, April.
    68. Lennart Ante, 2020. "A place next to Satoshi: foundations of blockchain and cryptocurrency research in business and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1305-1333, August.
    69. Zhang, Shuyu & Aerts, Walter & Lu, Liping & Pan, Huifeng, 2019. "Readability of token whitepaper and ICO first-day return," Economics Letters, Elsevier, vol. 180(C), pages 58-61.
    70. Walid Mensi & Anoop S. Kumar & Xuan Vinh Vo & Sang Hoon Kang, 2024. "Asymmetric multifractality and dynamic efficiency in DeFi markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(2), pages 280-297, June.
    71. Goodell, John W. & Alon, Ilan & Chiaramonte, Laura & Dreassi, Alberto & Paltrinieri, Andrea & Piserà, Stefano, 2023. "Risk substitution in cryptocurrencies: Evidence from BRICS announcements," Emerging Markets Review, Elsevier, vol. 54(C).
    72. Nils Bundi & Marc Wildi, 2019. "Bitcoin and market-(in)efficiency: a systematic time series approach," Digital Finance, Springer, vol. 1(1), pages 47-65, November.
    73. Nikolaos A. Kyriazis, 2019. "A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    74. Koutmos, Dimitrios, 2018. "Liquidity uncertainty and Bitcoin’s market microstructure," Economics Letters, Elsevier, vol. 172(C), pages 97-101.
    75. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Al-Jarrah, Idries Mohammad Wanas & Hamdi, Atef & Kang, Sang Hoon, 2019. "Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 104-120.
    76. Jia, Yuecheng & Wu, Yangru & Yan, Shu & Liu, Yuzheng, 2023. "A seesaw effect in the cryptocurrency market: Understanding the return cross predictability of cryptocurrencies," Journal of Empirical Finance, Elsevier, vol. 74(C).
    77. Gillaizeau, Marc & Jayasekera, Ranadeva & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata & Volokitina, Evgeniia, 2019. "Giver and the receiver: Understanding spillover effects and predictive power in cross-market Bitcoin prices," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 86-104.
    78. Jinghong Wu & Ke Xu & Xinwei Zheng & Jian Chen, 2021. "Fractional cointegration in bitcoin spot and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1478-1494, September.
    79. Jessica Morales Herrera & Ra'ul Salgado-Garc'ia, 2023. "Trend patterns statistics for assessing irreversibility in cryptocurrencies: time-asymmetry versus inefficiency," Papers 2307.08612, arXiv.org.
    80. Tiwari, Aviral Kumar & Adewuyi, Adeolu O. & Albulescu, Claudiu T. & Wohar, Mark E., 2020. "Empirical evidence of extreme dependence and contagion risk between main cryptocurrencies," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    81. Zhang, Shuai & Hou, Xinyu & Ba, Shusong, 2021. "What determines interest rates for bitcoin lending?," Research in International Business and Finance, Elsevier, vol. 58(C).
    82. Suardi, Sandy & Rasel, Atiqur Rahman & Liu, Bin, 2022. "On the predictive power of tweet sentiments and attention on bitcoin," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 289-301.
    83. Abakah, Emmanuel Joel Aikins & Gil-Alana, Luis Alberiko & Madigu, Godfrey & Romero-Rojo, Fatima, 2020. "Volatility persistence in cryptocurrency markets under structural breaks," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 680-691.
    84. Narayan, Paresh Kumar & Narayan, Seema & Eki Rahman, R. & Setiawan, Iwan, 2019. "Bitcoin price growth and Indonesia's monetary system," Emerging Markets Review, Elsevier, vol. 38(C), pages 364-376.
    85. Corbet, Shaen & Katsiampa, Paraskevi, 2020. "Asymmetric mean reversion of Bitcoin price returns," International Review of Financial Analysis, Elsevier, vol. 71(C).
    86. Zhang, Jiahang & Zhang, Chi, 2022. "Do cryptocurrency markets react to issuer sentiments? Evidence from Twitter," Research in International Business and Finance, Elsevier, vol. 61(C).
    87. Andrea Flori, 2019. "Cryptocurrencies In Finance: Review And Applications," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-22, August.

  9. Rajeh Alragas & P. Murphy & Mamata Parhi & T.K.Mishra & Bazoumana Ouattara, 2015. "Empirical Evidence On The Relationship Between Trade Openness And Economic Growth," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 9(3), pages 91-96.

    Cited by:

    1. Maria - Daniela Tudorache, 2020. "Human development: a key driver of socioeconomic development in EU," Proceedings of Economics and Finance Conferences 10913075, International Institute of Social and Economic Sciences.
    2. MOYO, Clement Zibusiso & KHOBAI, Hlalefang, 2018. "Trade Openness and Economic Growth in SADC Countries," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 71(4), pages 417-436.
    3. Ampofo, Gideon Kwaku Minua & Cheng, Jinhua & Asante, Daniel Akwasi & Bosah, Philip, 2020. "Total natural resource rents, trade openness and economic growth in the top mineral-rich countries: New evidence from nonlinear and asymmetric analysis," Resources Policy, Elsevier, vol. 68(C).
    4. William MESIET, 2023. "The nexus of foreign trade and economic growth in Tanzania. Examining the influence of COVID-19 pandemic. Evidence from vector error correction model," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(636), A), pages 273-296, Autumn.

  10. Théophile T. Azomahou & Tapas Mishra & Mamata Parhi, 2015. "Economic Growth under Stochastic Population and Pollution Shocks," Manchester School, University of Manchester, vol. 83(3), pages 314-345, June.
    See citations under working paper version above.
  11. Tapas Mishra & Mamata Parhi & Raúl Fuentes, 2015. "How Interdependent are Cross-Country Happiness Dynamics?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 491-518, June.

    Cited by:

    1. Tapas MISHRA & Mamata PARHI & Claude DIEBOLT, 2014. "Evolutionary efficiency and distributive effects of inertia in cross-country life-satisfaction," Economies et Sociétés (Serie 'Histoire Economique Quantitative'), Association Française de Cliométrie (AFC), issue 49, pages 1335-1356, Août.

  12. Gupta, Prashant & Mishra, Tapas & O’Leary, Nigel & Parhi, Mamata, 2015. "The distributional effects of adaption and anticipation to ill health on subjective wellbeing," Economics Letters, Elsevier, vol. 136(C), pages 99-102.

    Cited by:

    1. Fang, Zheng & Niimi, Yoko, 2015. "Do Losses Bite More than Gains? Evidence from a Panel Quantile Regression Analysis of Subjective Well-being in Japan," AGI Working Paper Series 2015-18, Asian Growth Research Institute.
    2. Kaiser, Caspar, 2020. "Using memories to assess the intrapersonal comparability of wellbeing reports," EconStor Preprints 226218, ZBW - Leibniz Information Centre for Economics.
    3. Kaiser, Caspar F. & Vendrik, Maarten C.M., 2020. "How Threatening Are Transformations of Happiness Scales to Subjective Wellbeing Research?," IZA Discussion Papers 13905, Institute of Labor Economics (IZA).
    4. Patricia Cubí‐Mollá & Mireia Jofre‐Bonet & Victoria Serra‐Sastre, 2017. "Adaptation to health states: Sick yet better off?," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1826-1843, December.
    5. Fang, Zheng & Niimi, Yoko, 2017. "Does everyone exhibit loss aversion? Evidence from a panel quantile regression analysis of subjective well-being in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 46(C), pages 79-90.
    6. Kaiser, Caspar & Vendrik, Maarten C. M., 2019. "How threatening are transformations of reported happiness to subjective wellbeing research?," SocArXiv gzt7a, Center for Open Science.
    7. O’Leary, Nigel & Li, Ian W. & Gupta, Prashant & Blackaby, David, 2020. "Wellbeing trajectories around life events in Australia," Economic Modelling, Elsevier, vol. 93(C), pages 499-509.

  13. Fuentes, Raúl & Mishra, Tapas & Scavia, Javier & Parhi, Mamata, 2014. "On optimal long-term relationship between TFP, institutions, and income inequality under embodied technical progress," Structural Change and Economic Dynamics, Elsevier, vol. 31(C), pages 89-100.

    Cited by:

    1. Giorgio Calcagnini & Germana Giombini & Giuseppe Travaglini, 2021. "The Productivity Gap Among Major European Countries, USA and Japan," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 59-78, March.
    2. Maria Elisa Farias & Javier Scavia & Raúl Fuentes, 2019. "Bridging the Gaps: Credits, Adoption, and Inequality," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1355-1401, August.
    3. Delphin Kamanda Espoir & Nicholas Ngepah, 2021. "Income distribution and total factor productivity: a cross-country panel cointegration analysis," International Economics and Economic Policy, Springer, vol. 18(4), pages 661-698, October.
    4. Nguyen, Trang T.T., 2016. "Tax administration resources and Income inequality," MPRA Paper 74820, University Library of Munich, Germany.
    5. Hsu, Wen-Tai & Lu, Lin & Picard, Pierre M., 2021. "Income Inequality, Productivity, and International Trade," LIDAM Discussion Papers CORE 2021029, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Ni, Niannian & Liu, Yulin & Zhou, Hui, 2022. "Financial openness, capital rents and income inequality," European Journal of Political Economy, Elsevier, vol. 71(C).
    7. Raúl Fuentes Z. & Javier Scavia D. & Juan Berríos P., 2014. "About the long-term distributional impact of embodied technological progress (without spillover effects) in developing countries," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 17(3), pages 28-54, December.
    8. Jinchao Wang & Changfu Luo, 2022. "Social Mobility and Firms’ Total Factor Productivity: Evidence from China," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    9. Azfar Hilmi Baharudin & Yap Su Fei, 2017. "A Contemporary Re-Examination Of Malaysia’S Economic Growth: The Issues Of Equity, Efficiency And Liberalization," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(02), pages 509-530, June.

  14. Tapas MISHRA & Mamata PARHI & Claude DIEBOLT, 2014. "Evolutionary efficiency and distributive effects of inertia in cross-country life-satisfaction," Economies et Sociétés (Serie 'Histoire Economique Quantitative'), Association Française de Cliométrie (AFC), issue 49, pages 1335-1356, Août.
    See citations under working paper version above.
  15. Claude Diebolt & Tapas Mishra & Bazoumana Ouattara & Mamata Parhi, 2013. "Democracy and Economic Growth in an Interdependent World," Review of International Economics, Wiley Blackwell, vol. 21(4), pages 733-749, September.

    Cited by:

    1. Hany Abdel-Latif & Tapas Mishra & Anita Staneva, 2015. "Arab Countries Between Winter and Spring: Where Democracy Shock Goes Next!," Working Papers 954, Economic Research Forum, revised Oct 2015.
    2. Jorge Braga de Macedo & Luis Brites Pereira & Joaquim Oliveira Martins & João Tovar Jalles, 2013. "Globalization, Democracy and Development," NBER Working Papers 19575, National Bureau of Economic Research, Inc.
    3. Roman Matkovskyy, 2020. "A measurement of affluence and poverty interdependence across countries: Evidence from the application of tail copula," Post-Print hal-03163619, HAL.
    4. Jorge Braga de Macedo & Joaquim Oliveira Martins & João Tovar Jalles, 2021. "Globalization, Freedoms and Economic Convergence: An empirical exploration of a trivariate relationship using a large panel," Working Papers REM 2021/0189, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    5. Muhammad Ishtiaq & Muhammad Tariq Majeed & Muhammad Sohail, 2016. "Financial Sector, Democracy and Economic Growth: A Panel Data Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 437-453.
    6. Vítor João Pereira Domingues Martinho, 2021. "Impact of Covid‐19 on the convergence of GDP per capita in OECD countries," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 55-72, November.

  16. Parhi, Mamata & Diebolt, Claude & Mishra, Tapas & Gupta, Prashant, 2013. "Convergence dynamics of output: Do stochastic shocks and social polarization matter?," Economic Modelling, Elsevier, vol. 30(C), pages 42-51.
    See citations under working paper version above.
  17. Tapas Mishra & Bazoumana Ouattara & Mamata Parhi, 2012. "International Development Aid Allocation Determinants," Economics Bulletin, AccessEcon, vol. 32(2), pages 1385-1403.

    Cited by:

    1. Carrie B Dolan & Kaci Kennedy McDade, 2020. "Pulling the purse strings: Are there sectoral differences in political preferencing of Chinese aid to Africa?," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-18, April.

  18. Tapas Mishra & Alexia Prskawetz & Mamata Parhi & Claude Diebolt, 2010. "Shock persistence in output and the role of stochastic population growth," Economics Bulletin, AccessEcon, vol. 30(3), pages 2437-2449.

    Cited by:

    1. Théophile Azomahou & Tapas Mishra & Mamata Parhi, 2015. "Economic Growth under Stochastic Population and Pollution Shocks," Post-Print hal-01736166, HAL.

  19. Parhi, Mamata & Mishra, Tapas, 2009. "Spatial growth volatility and age-structured human capital dynamics in Europe," Economics Letters, Elsevier, vol. 102(3), pages 181-184, March.
    See citations under working paper version above.
  20. Mishra Tapas & Parhi Mamata & Claude Diebolt, 2008. "Demography: Human Capital Accumulation and Spatial TFP Interdependence," Historical Social Research (Section 'Cliometrics'), Association Française de Cliométrie (AFC), vol. 33(3), pages 346-358.

    Cited by:

    1. Urszula Markowska-Przybyła, 2020. "Does Social Capital Matter for Total Factor Productivity? Exploratory Evidence from Poland," Sustainability, MDPI, vol. 12(23), pages 1-25, November.
    2. Xiao Dai & Jian Wu & Liang Yan & Qian Zhang & Fangli Ruan & Dan Wang, 2019. "Industrial Structure Restructuring, Production Factor Allocation Analysis: Based on a Mineral Resource-Intensive City—Jiaozuo City," Sustainability, MDPI, vol. 11(4), pages 1-19, February.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Claude Diebolt & Tapas Mishra & Mamata Parhi, 2016. "Dynamics of Distribution and Diffusion of New Technology," India Studies in Business and Economics, Springer, number 978-3-319-32744-0, June.
    See citations under working paper version above.Sorry, no citations of books recorded.
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