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Luis F. Martins

Not to be confused with: Luis Martins

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. Francisco Estrada & Luis Filipe Martins & Pierre Perron, 2017. "Characterizing and attributing the warming trend in sea and land surface temperatures," Boston University - Department of Economics - Working Papers Series WP2017-009, Boston University - Department of Economics.

    Cited by:

    1. Pierre Perron & Francisco Estrada, 2012. "Breaks, trends and the attribution of climate change: a time-series analysis," Boston University - Department of Economics - Working Papers Series WP2012-013, Boston University - Department of Economics.
    2. Matthew T. Holt & Timo Teräsvirta, 2017. "Global Hemispheric Temperatures and Co–Shifting: A Vector Shifting–Mean Autoregressive Analysis," CREATES Research Papers 2017-05, Department of Economics and Business Economics, Aarhus University.
    3. Manveer Kaur Mangat & Erhard Reschenhofer, 2020. "Frequency-Domain Evidence for Climate Change," Econometrics, MDPI, vol. 8(3), pages 1-15, July.

  2. Luis Filipe Martins & Pierre Perron, 2014. "Improved Tests for Forecast Comparisons in the Presence of Instabilities," Boston University - Department of Economics - Working Papers Series 2014-003, Boston University - Department of Economics.

    Cited by:

    1. Alessandro Casini & Pierre Perron, 2021. "Prewhitened Long-Run Variance Estimation Robust to Nonstationarity," Papers 2103.02235, arXiv.org, revised Dec 2021.
    2. Alessandro Casini, 2021. "Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models," Papers 2103.02981, arXiv.org.
    3. Federico Belotti & Alessandro Casini & Leopoldo Catania & Stefano Grassi & Pierre Perron, 2023. "Simultaneous bandwidths determination for DK-HAC estimators and long-run variance estimation in nonparametric settings," Econometric Reviews, Taylor & Francis Journals, vol. 42(3), pages 281-306, February.
    4. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    5. Casini, Alessandro & Perron, Pierre, 2021. "Continuous record Laplace-based inference about the break date in structural change models," Journal of Econometrics, Elsevier, vol. 224(1), pages 3-21.
    6. Emilio Blanco & Fiorella Dogliolo & Lorena Garegnani, 2022. "Nowcasting during the Pandemic: Lessons from Argentina," BCRA Working Paper Series 202299, Central Bank of Argentina, Economic Research Department.
    7. Alessandro Casini & Pierre Perron, 2018. "Generalized Laplace Inference in Multiple Change-Points Models," Papers 1803.10871, arXiv.org, revised Jan 2021.
    8. Alessandro Casini, 2018. "Tests for Forecast Instability and Forecast Failure under a Continuous Record Asymptotic Framework," Papers 1803.10883, arXiv.org, revised Dec 2018.
    9. Pierre Perron & Yohei Yamamoto, 2018. "Testing for Changes in Forecasting Performance," Boston University - Department of Economics - Working Papers Series WP2019-03, Boston University - Department of Economics, revised Dec 2018.
    10. Ye Li & Pierre Perron & Jiawen Xu, 2017. "Modelling exchange rate volatility with random level shifts," Applied Economics, Taylor & Francis Journals, vol. 49(26), pages 2579-2589, June.
    11. Ciner, Cetin, 2017. "Predicting white metal prices by a commodity sensitive exchange rate," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 309-315.
    12. Fossati, Sebastian, 2017. "Testing for State-Dependent Predictive Ability," Working Papers 2017-9, University of Alberta, Department of Economics.
    13. Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.
    14. Alessandro Casini & Taosong Deng & Pierre Perron, 2021. "Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference," Papers 2103.01604, arXiv.org, revised Nov 2021.

  3. Stephen M. Miller & Luis F. Martins & Rangan Gupta, 2014. "A Time-Varying Approach of the US Welfare Cost of Inflation," Working Papers 201419, University of Pretoria, Department of Economics.

    Cited by:

    1. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2014. "The Growth-Inflation Nexus for the US over 1801-2013: A Semiparametric Approach," Working Papers 15-17, Eastern Mediterranean University, Department of Economics.
    2. Jonathan Benchimol & Irfan Qureshi, 2020. "Time-varying money demand and real balance effects," Post-Print hal-02876657, HAL.
    3. Polbin, Andrey & Skrobotov, Anton, 2022. "On decrease in oil price elasticity of GDP and investment in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 5-24.
    4. Serletis, Apostolos & Xu, Libo, 2023. "Consumer preferences, the demand for Divisia money, and the welfare costs of inflation," Journal of Macroeconomics, Elsevier, vol. 75(C).
    5. ALBULESCU, Claudiu Tiberiu & PÉPIN, Dominique & MILLER, Stephen M., 2019. "The micro-foundations of an open economy money demand: An application to central and eastern European countries," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 33-45.
    6. Plakandaras, Vasilios & Gupta, Rangan & Karmakar, Sayar & Wohar, Mark E., 2023. "Are real interest rates a monetary phenomenon? Evidence from 700 years of data," Research in International Business and Finance, Elsevier, vol. 66(C).

  4. Gualberti, Giorgio & Martins, Luis Filipe & Bazilian, Morgan, 2012. "An Econometric Analysis of the Effectiveness of Development Finance for the Energy Sector," Economy and Society 143130, Fondazione Eni Enrico Mattei (FEEM).

    Cited by:

    1. Gualberti, Giorgio & Singer, Christine Eibs & Bazilian, Morgan, 2013. "The capacity to spend development funds in the energy sector," Utilities Policy, Elsevier, vol. 26(C), pages 36-44.

  5. Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.

    Cited by:

    1. Mangee, Nicholas, 2024. "Stock price swings and fundamentals: The role of Knightian uncertainty," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Mehmet Balcilar & Charl Jooste & Shawkat Hammoudeh & Rangan Gupta & Vassilios Babalos, 2015. "Are there long-run diversification gains from the Dow Jones Islamic finance index?," Applied Economics Letters, Taylor & Francis Journals, vol. 22(12), pages 945-950, August.
    3. Sambulo Malumisa, 2015. "Structural Breaks, Stability and Demand for Money in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 7(5), pages 79-90.
    4. Maki, Daiki, 2012. "Tests for cointegration allowing for an unknown number of breaks," Economic Modelling, Elsevier, vol. 29(5), pages 2011-2015.

  6. Paulo M.M. Rodrigues & Luis F. Martins, 2010. "Testing for Persistence Change in Fractionally Integrated Models: An Application to World Inflation Rates," Working Papers w201030, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. C. Vladimir Rodríguez-Caballero & J. Eduardo Vera-Valdés, 2020. "Long-Lasting Economic Effects of Pandemics:Evidence on Growth and Unemployment," Econometrics, MDPI, vol. 8(3), pages 1-16, September.
    2. António Rua & Paulo M.M. Rodrigues & João Pedro Pereira, 2016. "Market integration and the persistence of electricity prices," Working Papers w201609, Banco de Portugal, Economics and Research Department.
    3. Rodrigues, Paulo M.M. & Sibbertsen, Philipp & Voges, Michelle, 2019. "Testing for breaks in the cointegrating relationship: On the stability of government bond markets' equilibrium," Hannover Economic Papers (HEP) dp-656, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Paulo M.M. Rodrigues & Uwe Hassler, 2014. "Persistence in the Banking Industry: Fractional integration and breaks in memory," Working Papers w201406, Banco de Portugal, Economics and Research Department.
    5. Martins, Luis F. & Rodrigues, Paulo M.M., 2014. "Testing for persistence change in fractionally integrated models: An application to world inflation rates," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 502-522.
    6. Bolat, Süleyman & Tiwari, Aviral Kumar & Kyophilavong, Phouphet, 2017. "Testing the inflation rates in MENA countries: Evidence from quantile regression approach and seasonal unit root test," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1089-1095.
    7. Dräger, Lena & Kolaiti, Theoplasti & Sibbertsen, Philipp, 2020. "Measuring Macroeconomic Convergence and Divergence within EMU Using Long Memory," Hannover Economic Papers (HEP) dp-675, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, revised Feb 2021.
    8. Kruse Robinson & Ventosa-Santaulària Daniel & Noriega Antonio E., 2017. "Changes in persistence, spurious regressions and the Fisher hypothesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-28, June.
    9. Gabriel Zsurkis & JoÃo Nicolau & Paulo M. M. Rodrigues, 2021. "A Re‐Examination of Inflation Persistence Dynamics in OECD Countries: A New Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 935-959, August.
    10. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.
    11. Shyh-Wei Chen & Chi-Sheng Hsu & Cyun-Jhen Pen, 2016. "Are Inflation Rates Mean-reverting Processes? Evidence from Six Asian Countries," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 12(1), pages 119-155, February.
    12. Jorge M. L. Andraz & Raúl F. C. Guerreiro & Paulo M. M. Rodrigues, 2018. "Persistence of travel and leisure sector equity indices," Empirical Economics, Springer, vol. 54(4), pages 1801-1825, June.
    13. Theoplasti Kolaiti & Mwasi Mboya & Philipp Sibbertsen, 2020. "Volatility Transmission across Financial Markets: A Semiparametric Analysis," JRFM, MDPI, vol. 13(8), pages 1-13, July.
    14. Nikolaos Antonakakis & Juncal Cunado & Luis A. Gil-Alana & Rangan Gupta, 2016. "Is Inflation Persistence Different in Reality?," Working Papers 201663, University of Pretoria, Department of Economics.
    15. Chen, Shyh-Wei & Hsu, Chi-Sheng, 2016. "Threshold, smooth transition and mean reversion in inflation: New evidence from European countries," Economic Modelling, Elsevier, vol. 53(C), pages 23-36.
    16. 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).
    17. Wingert, Simon & Mboya, Mwasi Paza & Sibbertsen, Philipp, 2020. "Distinguishing between breaks in the mean and breaks in persistence under long memory," Economics Letters, Elsevier, vol. 193(C).
    18. Gil-Alana, Luis A. & Mudida, Robert & Yaya, OlaOluwa S & Osuolale, Kazeem & Ogbonna, Ephraim A, 2019. "Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach," MPRA Paper 93941, University Library of Munich, Germany.
    19. Daiqing Xi & Tianxiao Pang, 2021. "Estimating multiple breaks in mean sequentially with fractionally integrated errors," Statistical Papers, Springer, vol. 62(1), pages 451-494, February.
    20. Vera-Valdés, J. Eduardo, 2022. "The persistence of financial volatility after COVID-19," Finance Research Letters, Elsevier, vol. 44(C).
    21. Giorgio Canarella & Stephen M. Miller, 2016. "Inflation Persistence and Structural Breaks: The Experience of Inflation Targeting Countries and the US," Working papers 2016-11, University of Connecticut, Department of Economics.
    22. Godday Uwawunkonye Ebuh & Afees Salisu & Victor Oboh & Nuruddeen Usman, 2023. "A test for the contributions of urban and rural inflation to inflation persistence in Nigeria," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 16(2), pages 222-246, May.
    23. Chen, Zhanshou & Xing, Yuhong & Li, Fuxiao, 2016. "Sieve bootstrap monitoring for change from short to long memory," Economics Letters, Elsevier, vol. 140(C), pages 53-56.
    24. 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).
    25. Luis F. Martins & Paulo M. M. Rodrigues, 2022. "Tests for segmented cointegration: an application to US governments budgets," Empirical Economics, Springer, vol. 63(2), pages 567-600, August.

  7. Vasco J. Gabriel & Luis F. Martins, 2010. "The cost channel reconsidered: a comment using an identification-robust approach," NIPE Working Papers 30/2010, NIPE - Universidade do Minho.

    Cited by:

    1. Meixing Dai & Qiao Zhang, 2013. "Central bank transparency with the cost channel," Working Papers of BETA 2013-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Jochen Michaelis & Jakob Palek, 2014. "Optimal Monetary Policy in a Currency Union: Implications of a Country-specific Cost Channel," MAGKS Papers on Economics 201444, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    3. Jochen Michaelis, 2012. "Optimal Monetary Policy in a Currency Union: The Role of the Cost Channel," MAGKS Papers on Economics 201203, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    4. Meixing Dai & Qiao Zhang, 2017. "Central bank transparency under the cost channel," Post-Print hal-02166805, HAL.

  8. Paul Levine & Luis F. Martins & Vasco J. Gabriel, 2006. "Robust Estimates of the New Keynesian Phillips Curve," School of Economics Discussion Papers 0206, School of Economics, University of Surrey.

    Cited by:

    1. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.
    2. Vasilev, Aleksandar, 2015. "New Keynesian Phillips Curve Estimation: The Case of Hungary /1981-2006/," EconStor Preprints 142472, ZBW - Leibniz Information Centre for Economics.

Articles

  1. Alexandra Ferreira‐Lopes & Pedro Linhares & Luís Filipe Martins & Tiago Neves Sequeira, 2022. "Quantitative easing and economic growth in Japan: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 235-268, February.

    Cited by:

    1. Kiyotoshi Kou & Yi Dou & Ichiro Arai, 2024. "Analysis of the Forces Driving Public Hospitals’ Operating Costs Using LMDI Decomposition: The Case of Japan," Sustainability, MDPI, vol. 16(2), pages 1-15, January.
    2. Stephen Anthony & Hamid Yahyaei, 2022. "Bringing Credibility Back to Macroeconomic Policy Frameworks," Economic Papers, The Economic Society of Australia, vol. 41(3), pages 276-295, September.

  2. Alexandra Ferreira‐Lopes & Luís Filipe Martins & Ruben Espanhol, 2020. "The relationship between tax rates and tax revenues in eurozone member countries ‐ exploring the Laffer curve," Bulletin of Economic Research, Wiley Blackwell, vol. 72(2), pages 121-145, April.

    Cited by:

    1. Leoš Vítek & Markéta Arltová & Květa Kubátová, 2021. "Taxation in Developed Countries: Response to External Shocks in 2008-2009 and 2020 [Zdanění ve vyspělých zemích: reakce na vnější šoky 2008-2009 a 2020]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2021(4), pages 31-54.
    2. Hüseyin ŞEN & Zeynep Burcu BULUT-ÇEVIK, 2021. "The Revenue-Maximizing Corporate Income Tax Rate for Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 122-142, December.
    3. Tchai Tavor & Limor Dina Gonen & Uriel Spiegel, 2022. "The Double-Peaked Shape of the Laffer Curve in the Case of the Inverted S-Shaped Labor Supply Curve," Mathematics, MDPI, vol. 10(6), pages 1-19, March.

  3. Luis Filipe Martins & Joana Batista & Alexandra Ferreira‐Lopes, 2019. "Unconventional monetary policies and bank credit in the Eurozone: An events study approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1210-1224, July.

    Cited by:

    1. Christophe Blot & Fabien Labondance, 2021. "Beyond the Interest Rate Pass-through: Monetary Policy and Banks Interest Rates during the Effective Lower Bound," Working Papers 2021-03, CRESE.
    2. Nikolaos Petrakis & Christos Lemonakis & Christos Floros & Constantin Zopounidis, 2022. "Greek Banking Sector Stock Reaction to ECB’s Monetary Policy Interventions," JRFM, MDPI, vol. 15(10), pages 1-19, October.

  4. Miller, Stephen M. & Martins, Luis Filipe & Gupta, Rangan, 2019. "A Time-Varying Approach Of The Us Welfare Cost Of Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 775-797, March.
    See citations under working paper version above.
  5. Marta Silva & Luis Filipe Martins & Helena Lopes, 2018. "Asymmetric Labor Market Reforms: Effects on Wage Growth and Conversion Probability of Fixed-Term Contracts," ILR Review, Cornell University, ILR School, vol. 71(3), pages 760-788, May.

    Cited by:

    1. Paulo Marques & Dora Fonseca, 2022. "Understanding the positions taken by moderate union confederations and centre-left parties during labour market reforms in Portugal and Spain: Why the configuration of left parties and trade union con," European Journal of Industrial Relations, , vol. 28(1), pages 65-84, March.
    2. Pedro S. Martins, 2016. "Should the maximum duration of fixed-term contracts increase in recessions? Evidence from a law reform," Working Papers 73, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    3. Pierre Cahuc & Pauline Carry & Franck Malherbet & Pedro S Martins, 2022. "Employment Effects of Restricting Fixed-Term Contracts: Theory and Evidence," SciencePo Working papers Main hal-03881622, HAL.
    4. Diti Goswami & Sourabh Bikas Paul, 2020. "Labor Reforms in Rajasthan: A boon or a bane?," Papers 2012.01016, arXiv.org.
    5. Pereira, João & Ramos, Raul & Martins, Pedro S., 2024. "Wage Cyclicality and Labour Market Institutions," IZA Discussion Papers 16787, Institute of Labor Economics (IZA).
    6. Kabátek, Jan & Liang, Ying & Zheng, Kun, 2022. "Are Shorter Cumulative Temporary Contracts Worse Stepping Stones? Evidence from a Quasi-Natural Experiment," IZA Discussion Papers 15407, Institute of Labor Economics (IZA).
    7. Paolo Barbieri & Giorgio Cutuli, 2018. "Dual Labour Market Intermediaries in Italy: How to Lay off “Lemons”—Thereby Creating a Problem of Adverse Selection," De Economist, Springer, vol. 166(4), pages 477-502, December.
    8. Pierre Cahuc & Pauline Carry & Franck Malherbet & Pedro S. Martins, 2023. "Spillover effects of employment protection," Nova SBE Working Paper Series wp655, Universidade Nova de Lisboa, Nova School of Business and Economics.

  6. Luis F. Martins, 2018. "Bootstrap tests for time varying cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 37(5), pages 466-483, May.

    Cited by:

    1. Chen, Wen-Yi, 2020. "The welfare effect of co-payment adjustments on emergency department visits in medical centers: Evidence from Taiwan," Health Policy, Elsevier, vol. 124(11), pages 1192-1199.
    2. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.

  7. Martins, Luís Filipe & Gan, Yi & Ferreira-Lopes, Alexandra, 2017. "An empirical analysis of the influence of macroeconomic determinants on World tourism demand," Tourism Management, Elsevier, vol. 61(C), pages 248-260.

    Cited by:

    1. Canh, Nguyen Phuc & Thanh, Su Dinh, 2020. "Domestic tourism spending and economic vulnerability," Annals of Tourism Research, Elsevier, vol. 85(C).
    2. Konstantakopoulou, Ioanna, 2022. "Does health quality affect tourism? Evidence from system GMM estimates," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 425-440.
    3. Wamboye, Evelyn F. & Nyaronga, Peter John & Sergi, Bruno S., 2020. "What are the determinant of international tourism in Tanzania?," World Development Perspectives, Elsevier, vol. 17(C).
    4. Shaidathul Jemin, 2023. "The Relationship between Macroeconomic Factors and Tourism Demand for OIC Countries ," GATR Journals jber238, Global Academy of Training and Research (GATR) Enterprise.
    5. José Alberto Martínez-González & Vidina Tais Díaz-Padilla & Eduardo Parra-López, 2021. "Study of the Tourism Competitiveness Model of the World Economic Forum Using Rasch’s Mathematical Model: The Case of Portugal," Sustainability, MDPI, vol. 13(13), pages 1-20, June.
    6. Al Saba, Fatema & Mertzanis, Charilaos & Kampouris, Ilias, 2023. "Employee empowerment and tourism sector employment around the world," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2), pages 28-40.
    7. Canh Phuc Nguyen & Su Dinh Thanh & Bach Nguyen, 2022. "Economic uncertainty and tourism consumption," Tourism Economics, , vol. 28(4), pages 920-941, June.
    8. Mengmeng Qiang & Manhong Shen & Huiming Xie, 2019. "Cultural diffusion and international inbound tourism: Evidence from China," Tourism Economics, , vol. 25(6), pages 884-903, September.
    9. Xueying Huang & Yuanjun Han & Xuhong Gong & Xiangyan Liu, 2020. "Does the belt and road initiative stimulate China’s inbound tourist market? An empirical study using the gravity model with a DID method," Tourism Economics, , vol. 26(2), pages 299-323, March.
    10. Chandan Sharma, 2021. "Testing the asymmetric effects of the economic policy uncertainty on the tourism demand in India," Tourism Economics, , vol. 27(4), pages 867-873, June.
    11. Burak Darici & Ahmet Aydin & Fatih Ayhan & Merve Altaylar, 2023. "Macroeconomic Determinants of Tourism Demand Toward Emerging Markets," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(73-2), pages 837-864, December.
    12. Muhammad Amin Hasan & Mr. Abdullah & Muhammad Arsalan Hashmi & Ali Sajid, 2022. "International Remittances and International Tourism Development in South Asia: The Moderating Role of Political Stability," Journal of Economic Impact, Science Impact Publishers, vol. 4(3), pages 177-187.
    13. Law, Rob & Li, Gang & Fong, Davis Ka Chio & Han, Xin, 2019. "Tourism demand forecasting: A deep learning approach," Annals of Tourism Research, Elsevier, vol. 75(C), pages 410-423.
    14. Umit Bulut & Emrah Kocak & Courtney Suess, 2020. "The effect of freedom on international tourism demand: Empirical evidence from the top eight most visited countries," Tourism Economics, , vol. 26(8), pages 1358-1373, December.
    15. Tzu-Ming Liu, 2020. "Habit formation or word of mouth: What does lagged dependent variable in tourism demand models imply?," Tourism Economics, , vol. 26(3), pages 461-474, May.
    16. Agnieszka Stacherzak & Maria Hełdak, 2019. "Borough Development Dependent on Agricultural, Tourism, and Economy Levels," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    17. Guglielmo Maria Caporale & Stavroula Yfanti & Menelaos Karanasos & Jiaying Wu, 2023. "Financial Integration and European Tourism Stocks," CESifo Working Paper Series 10269, CESifo.
    18. Alina Kulczyk-Dynowska & Beata Bal-Domańska, 2019. "The National Parks in the Context of Tourist Function Development in Territorially Linked Municipalities in Poland," Sustainability, MDPI, vol. 11(7), pages 1-22, April.
    19. Becken, Susanne & Carmignani, Fabrizio, 2020. "Are the current expectations for growing air travel demand realistic?," Annals of Tourism Research, Elsevier, vol. 80(C).
    20. Baidoo, Francis & Pan, Lei & Fiador, Vera Ogeh Lassey & Agbloyor, Elikplimi Komla, 2022. "Importing to Feed International Tourists: Growth Implications for Islands across the Globe," MPRA Paper 111964, University Library of Munich, Germany.
    21. Sergej Gričar & Štefan Bojnec, 2021. "Technical Analysis of Tourism Price Process in the Eurozone," JRFM, MDPI, vol. 14(11), pages 1-25, October.
    22. Kagochi, John & Durmaz, Nazif, 2021. "Determinants of Intra-SSA Tourism Demand," MPRA Paper 106492, University Library of Munich, Germany.
    23. Yan Fang & Yiyi Jiang & Chin-Hsun Ken Tsai & Binghao Luo & Ming-Hsiang Chen, 2021. "Spatial Patterns of China’s Ski Resorts and Their Influencing Factors: A Geographical Detector Study," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    24. Veli YILANCI & Sertaç HOPOĞLU & Hakan ERYÜZLÜ, 2023. "The impact of the economic policy uncertainty and geopolitical risks on tourism demand of Mexico," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(636), A), pages 147-164, Autumn.
    25. Katarzyna Przybyła & Alina Kulczyk-Dynowska, 2018. "Transformations and the Level of Tourist Function Development in Polish Voivodeship Capital Cities," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    26. Yang, Yang & Fan, Yawen & Jiang, Lan & Liu, Xiaohui, 2022. "Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?," Annals of Tourism Research, Elsevier, vol. 93(C).
    27. Ivlevs, Artjoms & Smith, Ian, 2023. "Do International Tourist Arrivals Change Residents' Attitudes Towards Immigration? A Longitudinal Study of 28 European Countries," IZA Discussion Papers 15953, Institute of Labor Economics (IZA).
    28. Muntasir Murshed & Haider Mahmood & Tarek Tawfik Yousef Alkhateeb & Suvajit Banerjee, 2020. "Calibrating the Impacts of Regional Trade Integration and Renewable Energy Transition on the Sustainability of International Inbound Tourism Demand in South Asia," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    29. Kun Wang & Xiangtai Chen & Zhenxian Lei & Songxin Zhao & Xiao Zhou, 2023. "The Effects of Tourism Development on Eco-Environment Resilience and Its Spatio-Temporal Heterogeneity in the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    30. Alina-Petronela Haller & Georgia-Daniela Tacu Hârșan, 2023. "Longitudinal Analysis of Sustainable Tourism Potential of the Black Sea Riparian States Bulgaria, Romania and Turkey," IJERPH, MDPI, vol. 20(4), pages 1-24, February.
    31. Zhang, Hanxiang & Czerny, Achim I. & Grimme, Wolfgang & Niemeier, Hans-Martin, 2023. "The big three EU Low Cost Carriers before and during the Covid-19 pandemic: Network overlaps and airfare effects," Research in Transportation Economics, Elsevier, vol. 97(C).
    32. Li, Cheng & Ge, Peng & Liu, Zhusheng & Zheng, Weimin, 2020. "Forecasting tourist arrivals using denoising and potential factors," Annals of Tourism Research, Elsevier, vol. 83(C).
    33. Malaj, Emi & Malaj, Visar, 2023. "Determinants of international tourism: Empirical evidence from three Mediterranean countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2), pages 66-72.
    34. Chien-Chiang Lee & Godwin O Olasehinde-Williams & Ifedolapo Olabisi Olanipekun, 2022. "GDP volatility implication of tourism volatility in South Africa: A time-varying approach," Tourism Economics, , vol. 28(2), pages 435-450, March.
    35. Wanvilai Chulaphan & Jorge Fidel Barahona, 2021. "The Determinants of Tourist Expenditure Per Capita in Thailand: Potential Implications for Sustainable Tourism," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    36. Usman Khalid & Luke Emeka Okafor & Nusrate Aziz, 2020. "Armed conflict, military expenditure and international tourism," Tourism Economics, , vol. 26(4), pages 555-577, June.
    37. Zhou Lu & Haiwei Li & Chi Keung Marco Lau & Aliyu Buhari Isah, 2021. "Preferences and Tourism Development under Uncertainty: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-9, February.
    38. Silvia Emili & Paolo Figini & Andrea Guizzardi, 2020. "Modelling international monthly tourism demand at the micro destination level with climate indicators and web-traffic data," Tourism Economics, , vol. 26(7), pages 1129-1151, November.
    39. Canh P Nguyen, 2023. "Last chance to travel or safety first? The influence of exposure to natural hazards and coping capacities on tourism consumption," Tourism Economics, , vol. 29(4), pages 952-985, June.

  8. Luis Filipe Martins & Pierre Perron, 2016. "Improved Tests for Forecast Comparisons in the Presence of Instabilities," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 650-659, September.
    See citations under working paper version above.
  9. Paulo Horta & Sérgio Lagoa & Luís Martins, 2016. "Unveiling investor-induced channels of financial contagion in the 2008 financial crisis using copulas," Quantitative Finance, Taylor & Francis Journals, vol. 16(4), pages 625-637, April.

    Cited by:

    1. Oussama Tilfani & Paulo Ferreira & My Youssef El Boukfaoui, 2021. "Dynamic cross-correlation and dynamic contagion of stock markets: a sliding windows approach with the DCCA correlation coefficient," Empirical Economics, Springer, vol. 60(3), pages 1127-1156, March.
    2. Tachibana, Minoru, 2022. "Safe haven assets for international stock markets: A regime-switching factor copula approach," Research in International Business and Finance, Elsevier, vol. 60(C).
    3. Haiying Wang & Ying Yuan & Tianyang Wang, 2021. "The dynamics of cross‐boundary fire—Financial contagion between the oil and stock markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1655-1673, October.
    4. BenMim, Imen & BenSaïda, Ahmed, 2019. "Financial contagion across major stock markets: A study during crisis episodes," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 187-201.
    5. Azimova, Tarana, 2022. "Modelling volatility transmission in regional Asian stock markets," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    6. Roy, Rudra Prosad & Sinha Roy, Saikat, 2017. "Financial contagion and volatility spillover: An exploration into Indian commodity derivative market," Economic Modelling, Elsevier, vol. 67(C), pages 368-380.
    7. Lei Li & Kun Qin & Desheng Wu, 2023. "A Hybrid Approach for the Assessment of Risk Spillover to ESG Investment in Financial Networks," Sustainability, MDPI, vol. 15(7), pages 1-16, April.
    8. Imen Bedoui-Belghith & Slaheddine Hallara & Faouzi Jilani, 2023. "Crisis transmission degree measurement under crisis propagation model," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.
    9. Jiang, Hai & Tang, Shenfeng & Li, Lifang & Xu, Fangming & Di, Qian, 2022. "Re-examining the Contagion Channels of Global Financial Crises: Evidence from the Twelve Years since the US Subprime Crisis," Research in International Business and Finance, Elsevier, vol. 60(C).
    10. Rajan Sruthi & Santhakumar Shijin, 2020. "Investigating liquidity constraints as a channel of contagion: a regime switching approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-21, December.
    11. Handika, Rangga & Soepriyanto, Gatot & Havidz, Shinta Amalina Hazrati, 2019. "Are cryptocurrencies contagious to Asian financial markets?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 416-429.
    12. Chopra, Monika & Mehta, Chhavi, 2022. "Is the COVID-19 pandemic more contagious for the Asian stock markets? A comparison with the Asian financial, the US subprime and the Eurozone debt crisis," Journal of Asian Economics, Elsevier, vol. 79(C).
    13. Ahmed BenSaïda & Houda Litimi, 2021. "Financial contagion across G10 stock markets: A study during major crises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4798-4821, July.
    14. BenSaïda, Ahmed, 2018. "The contagion effect in European sovereign debt markets: A regime-switching vine copula approach," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 153-165.
    15. Wang, Haiying & Yuan, Ying & Li, Yiou & Wang, Xunhong, 2021. "Financial contagion and contagion channels in the forex market: A new approach via the dynamic mixture copula-extreme value theory," Economic Modelling, Elsevier, vol. 94(C), pages 401-414.
    16. Aristeidis Samitas & Elias Kampouris & Zaghum Umar, 2022. "Financial contagion in real economy: The key role of policy uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1633-1682, April.
    17. Akhtaruzzaman, Md & Shamsuddin, Abul, 2016. "International contagion through financial versus non-financial firms," Economic Modelling, Elsevier, vol. 59(C), pages 143-163.
    18. Mohti, Wahbeeah & Dionísio, Andreia & Vieira, Isabel & Ferreira, Paulo, 2019. "Financial contagion analysis in frontier markets: Evidence from the US subprime and the Eurozone debt crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1388-1398.
    19. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    20. Ye, Wuyi & Li, Mingge & Wu, Yuehua, 2022. "A novel estimation of time-varying quantile correlation for financial contagion detection," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    21. Ur Rehman, Mobeen & Al Rababa'a, Abdel Razzaq & El-Nader, Ghaith & Alkhataybeh, Ahmad & Vo, Xuan Vinh, 2022. "Modelling the quantile cross-coherence between exchange rates: Does the COVID-19 pandemic change the interlinkage structure?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    22. Kazi Sohag & Anna Gainetdinova & Shawkat Hammoudeh & Riad Shams, 2022. "Dynamic Connectedness among Vaccine Companies’ Stock Prices: Before and after Vaccines Released," Mathematics, MDPI, vol. 10(15), pages 1-26, August.

  10. Cátia Sousa & Catarina Roseta‐Palma & Luís Filipe Martins, 2015. "Economic growth and transport: On the road to sustainability," Natural Resources Forum, Blackwell Publishing, vol. 39(1), pages 3-14, February.

    Cited by:

    1. Lijun Zhang & Caiyun Kou & Ji Zheng & Yu Li, 2018. "Decoupling Analysis of CO 2 Emissions in Transportation Sector from Economic Growth during 1995–2015 for Six Cities in Hebei, China," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    2. Ştefan Cristian Gherghina & Mihaela Onofrei & Georgeta Vintilă & Daniel Ştefan Armeanu, 2018. "Empirical Evidence from EU-28 Countries on Resilient Transport Infrastructure Systems and Sustainable Economic Growth," Sustainability, MDPI, vol. 10(8), pages 1-34, August.
    3. Dongshan Ma & Shengqiang Zhang & Jiayu Zhao, 2022. "The High-Speed Railway Opening and Audit Fees: Evidence from China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    4. Piotr Rosik & Julia Wójcik, 2022. "Transport Infrastructure and Regional Development: A Survey of Literature on Wider Economic and Spatial Impacts," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    5. Mohsen Momenitabar & Raj Bridgelall & Zhila Dehdari Ebrahimi & Mohammad Arani, 2021. "Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    6. Beibei Guo & Jinchuan Ke, 2020. "The Impacts of High-speed Rail on Sustainable Economic Development: Evidence from the Central Part of China," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    7. Elena Cigu & Daniela Tatiana Agheorghiesei & Anca Florentina Gavriluță (Vatamanu) & Elena Toader, 2018. "Transport Infrastructure Development, Public Performance and Long-Run Economic Growth: A Case Study for the Eu-28 Countries," Sustainability, MDPI, vol. 11(1), pages 1-22, December.

  11. Martins, Luis F. & Rodrigues, Paulo M.M., 2014. "Testing for persistence change in fractionally integrated models: An application to world inflation rates," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 502-522.
    See citations under working paper version above.
  12. Horta, Paulo & Lagoa, Sérgio & Martins, Luís, 2014. "The impact of the 2008 and 2010 financial crises on the Hurst exponents of international stock markets: Implications for efficiency and contagion," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 140-153.

    Cited by:

    1. Jayech, Selma, 2016. "The contagion channels of July–August-2011 stock market crash: A DAG-copula based approach," European Journal of Operational Research, Elsevier, vol. 249(2), pages 631-646.
    2. Alam, Nafis & Arshad, Shaista & Rizvi, Syed Aun R., 2016. "Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency," Review of Financial Economics, Elsevier, vol. 31(C), pages 108-114.
    3. Oussama Tilfani & Paulo Ferreira & My Youssef El Boukfaoui, 2021. "Dynamic cross-correlation and dynamic contagion of stock markets: a sliding windows approach with the DCCA correlation coefficient," Empirical Economics, Springer, vol. 60(3), pages 1127-1156, March.
    4. Jacek Karasinski, 2022. "The Impact of the COVID-19 Outbreak on the Weak-Form Informational Efficiency of the Warsaw Stock Exchange (Wplyw wybuchu epidemii COVID-19 na efektywnosc informacyjna Gieldy Papierow Wartosciowych w ," Research Reports, University of Warsaw, Faculty of Management, vol. 2(37), pages 15-28.
    5. Un, Kuok Sin & Ausloos, Marcel, 2022. "Equity premium prediction: Taking into account the role of long, even asymmetric, swings in stock market behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    6. Achraf Ghorbel & Wajdi Frikha & Yasmine Snene Manzli, 2022. "Testing for asymmetric non-linear short- and long-run relationships between crypto-currencies and stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 387-425, September.
    7. Noureddine Benlagha & Wael Hemrit, 2022. "Does economic policy uncertainty matter to explain connectedness within the international sovereign bond yields?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 1-21, January.
    8. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2017. "A multifractal detrended fluctuation analysis of financial market efficiency: Comparison using Dow Jones sector ETF indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 182-192.
    9. Diniz-Maganini, Natalia & Diniz, Eduardo H. & Rasheed, Abdul A., 2021. "Bitcoin’s price efficiency and safe haven properties during the COVID-19 pandemic: A comparison," Research in International Business and Finance, Elsevier, vol. 58(C).
    10. Roy, Rudra Prosad & Sinha Roy, Saikat, 2017. "Financial contagion and volatility spillover: An exploration into Indian commodity derivative market," Economic Modelling, Elsevier, vol. 67(C), pages 368-380.
    11. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2021. "Exchange rate regimes and price efficiency: Empirical examination of the impact of financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    12. Marc Gronwald & Sania Wadud & Kingsley Dogah, 2024. "Informational Efficiency of World Oil Markets: One Great Pool, but with Varying Depth," CESifo Working Paper Series 11017, CESifo.
    13. Todea, Alexandru, 2016. "Cross-correlations between volatility, volatility persistence and stock market integration: the case of emergent stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 87(C), pages 208-215.
    14. dos Santos Maciel, Leandro, 2023. "Brazilian stock-market efficiency before and after COVID-19: The roles of fractality and predictability," Global Finance Journal, Elsevier, vol. 58(C).
    15. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    16. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    17. Choi, Sun-Yong, 2021. "Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    18. Ma, Pengcheng & Li, Daye & Li, Shuo, 2016. "Efficiency and cross-correlation in equity market during global financial crisis: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 163-176.
    19. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2020. "Multifractal Analysis of Market Efficiency across Structural Breaks: Implications for the Adaptive Market Hypothesis," JRFM, MDPI, vol. 13(10), pages 1-18, October.
    20. Aristeidis, Samitas & Elias, Kampouris, 2018. "Empirical analysis of market reactions to the UK’s referendum results – How strong will Brexit be?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 263-286.
    21. Vieito, João Paulo & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Could the global financial crisis improve the performance of the G7 stocks markets?," MPRA Paper 66521, University Library of Munich, Germany.
    22. Lee, Minhyuk & Song, Jae Wook & Kim, Sondo & Chang, Woojin, 2018. "Asymmetric market efficiency using the index-based asymmetric-MFDFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1278-1294.
    23. Koch, Reinald & Holtmann, Svea & Giese, Henning, 2022. "Losses never sleep: The effect of tax loss offset on stock market returns during economic crises," arqus Discussion Papers in Quantitative Tax Research 269, arqus - Arbeitskreis Quantitative Steuerlehre.
    24. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Contagion of the Subprime Financial Crisis on Frontier Stock Markets: A Copula Analysis," Economies, MDPI, vol. 7(1), pages 1-14, February.
    25. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    26. Chopra, Monika & Mehta, Chhavi, 2022. "Is the COVID-19 pandemic more contagious for the Asian stock markets? A comparison with the Asian financial, the US subprime and the Eurozone debt crisis," Journal of Asian Economics, Elsevier, vol. 79(C).
    27. Asif, Raheel & Frömmel, Michael, 2022. "Testing Long memory in exchange rates and its implications for the adaptive market hypothesis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    28. Nartea, Gilbert V. & Valera, Harold Glenn A. & Valera, Maria Luisa G., 2021. "Mean reversion in Asia-Pacific stock prices: New evidence from quantile unit root tests," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 214-230.
    29. Grout, Paul A. & Zalewska, Anna, 2016. "Stock market risk in the financial crisis," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 326-345.
    30. Karasiński Jacek, 2023. "The adaptive market hypothesis and the return predictability in the cryptocurrency markets," Economics and Business Review, Sciendo, vol. 9(1), pages 94-118, April.
    31. Gomes, Luís M. P. & Soares, Vasco J. S. & Gama, Sílvio M. A. & Matos, José A. O., 2018. "Long-term memory in Euronext stock indexes returns: an econophysics approach," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(4), pages 862-881, August.
    32. Lidija Lovreta & Joaquín López Pascual, 2020. "Structural breaks in the interaction between bank and sovereign default risk," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(4), pages 531-559, December.
    33. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2023. "Price efficiency of the foreign exchange rates of BRICS countries: A comparative analysis," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    34. Oussama Tilfani & Paulo Ferreira & Andreia Dionisio & My Youssef El Boukfaoui, 2020. "EU Stock Markets vs. Germany, UK and US: Analysis of Dynamic Comovements Using Time-Varying DCCA Correlation Coefficients," JRFM, MDPI, vol. 13(5), pages 1-23, May.
    35. Faheem Aslam & Wahbeeah Mohti & Paulo Ferreira, 2020. "Evidence of Intraday Multifractality in European Stock Markets during the Recent Coronavirus (COVID-19) Outbreak," IJFS, MDPI, vol. 8(2), pages 1-13, May.
    36. Jin, Xiaoye, 2016. "The impact of 2008 financial crisis on the efficiency and contagion of Asian stock markets: A Hurst exponent approach," Finance Research Letters, Elsevier, vol. 17(C), pages 167-175.
    37. Aristeidis Samitas & Elias Kampouris & Zaghum Umar, 2022. "Financial contagion in real economy: The key role of policy uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1633-1682, April.
    38. Vogl, Markus, 2023. "Hurst exponent dynamics of S&P 500 returns: Implications for market efficiency, long memory, multifractality and financial crises predictability by application of a nonlinear dynamics analysis framewo," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    39. Anagnostidis, P. & Varsakelis, C. & Emmanouilides, C.J., 2016. "Has the 2008 financial crisis affected stock market efficiency? The case of Eurozone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 116-128.
    40. Mohti, Wahbeeah & Dionísio, Andreia & Vieira, Isabel & Ferreira, Paulo, 2019. "Financial contagion analysis in frontier markets: Evidence from the US subprime and the Eurozone debt crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1388-1398.
    41. Dias, Rui & da Silva, Jacinto Vidigal & Dionísio, Andreia, 2019. "Financial markets of the LAC region: Does the crisis influence the financial integration?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 160-173.
    42. Reinald Koch & Svea Holtmann & Henning Giese, 2023. "Losses never sleep – The effect of tax loss offset on stock market returns during economic crises," Journal of Business Economics, Springer, vol. 93(1), pages 59-109, January.

  13. Martins, Luis F. & Gabriel, Vasco J., 2014. "Linear instrumental variables model averaging estimation," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 709-724.

    Cited by:

    1. Wang, Weiwei & Zhang, Qi & Zhang, Xinyu & Li, Xinmin, 2021. "Model averaging based on generalized method of moments," Economics Letters, Elsevier, vol. 200(C).
    2. Lewbel, Arthur & Choi, Jin Young & Zhou, Zhuzhu, 2023. "Over-identified Doubly Robust identification and estimation," Journal of Econometrics, Elsevier, vol. 235(1), pages 25-42.
    3. Naoya Sueishi, 2013. "Generalized Empirical Likelihood-Based Focused Information Criterion and Model Averaging," Econometrics, MDPI, vol. 1(2), pages 1-16, July.

  14. Martins, Luis F. & Gabriel, Vasco J., 2014. "Modelling long run comovements in equity markets: A flexible approach," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 288-295.

    Cited by:

    1. Chikashi Tsuji, 2016. "Did the expectations channel work? Evidence from quantitative easing in Japan, 2001–06," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1210996-121, December.
    2. Aye, Goodness C. & Chang, Tsangyao & Gupta, Rangan, 2016. "Is gold an inflation-hedge? Evidence from an interrupted Markov-switching cointegration model," Resources Policy, Elsevier, vol. 48(C), pages 77-84.
    3. Zhang, Yaojie & Ma, Feng & Liao, Yin, 2020. "Forecasting global equity market volatilities," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1454-1475.
    4. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    5. Luca Cattivelli & Federico Antonioli, 2023. "When cointegration is interrupted: Price transmission analysis in the Italian dairy‐feed industry," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 744-761, July.
    6. Lei Wu & Qingbin Meng & Kuan Xu, 2014. "“Slow-Burn” Spillover and “Fast and Furious” Contagion: A Study of International Stock Markets," Working Papers daleconwp2014-04, Dalhousie University, Department of Economics.
    7. Chlibi Souhir & Jawadi Fredj & Sellami Mohamed, 2017. "Modeling threshold effects in stock price co-movements: a vector nonlinear cointegration approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 47-63, February.
    8. Jin, Daxiang & He, Mengxi & Xing, Lu & Zhang, Yaojie, 2022. "Forecasting China's crude oil futures volatility: How to dig out the information of other energy futures volatilities?," Resources Policy, Elsevier, vol. 78(C).

  15. Martins Luis Filipe & Gabriel Vasco J., 2013. "Time-varying cointegration, identification, and cointegration spaces," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 199-209, April.

    Cited by:

    1. Bampinas, Georgios & Panagiotidis, Theodore, 2015. "Are gold and silver a hedge against inflation? A two century perspective," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 267-276.

  16. Vasco Gabriel & Luis Martins, 2011. "Cointegration tests under multiple regime shifts: An application to the stock price–dividend relationship," Empirical Economics, Springer, vol. 41(3), pages 639-662, December. See citations under working paper version above.
  17. Vasco J. Gabriel & Luis F. Martins, 2010. "The Cost Channel Reconsidered: A Comment Using an Identification-Robust Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(8), pages 1703-1712, December.
    See citations under working paper version above.
  18. Bierens, Herman J. & Martins, Luis F., 2010. "Time-Varying Cointegration," Econometric Theory, Cambridge University Press, vol. 26(5), pages 1453-1490, October.

    Cited by:

    1. Yukai Yang & Luc Bauwens, 2018. "State-Space Models on the Stiefel Manifold with a New Approach to Nonlinear Filtering," Econometrics, MDPI, vol. 6(4), pages 1-22, December.
    2. Campos, Eduardo Lima & Cysne, Rubens Penha, 2017. "A time-varying fiscal reaction function for Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 795, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    3. Plakandaras, Vasilios & Gupta, Rangan & Wohar, Mark E., 2018. "UK macroeconomic volatility: Historical evidence over seven centuries," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 767-789.
    4. Deven Bathia & Riza Demirer & Rangan Gupta & Kevin Kotze, 2020. "Unemployment Fluctuations and Currency Returns in the United Kingdom: Evidence from Over One and a Half Century of Data," Working Papers 202083, University of Pretoria, Department of Economics.
    5. Karolina Konopczak & Aleksander Łożykowski, 2021. "Efekt fiskalny uszczelniania systemu podatkowego w Polsce: próba oszacowania w zakresie podatku CIT," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 1, pages 25-55.
    6. Bampinas, Georgios & Panagiotidis, Theodore, 2015. "Are gold and silver a hedge against inflation? A two century perspective," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 267-276.
    7. Jochmann, Markus & Koop, Gary, 2011. "Regime-Switching Cointegration," SIRE Discussion Papers 2011-60, Scottish Institute for Research in Economics (SIRE).
    8. Xianguo HUANG & Roberto LEON-GONZALEZ & Somrasri YUPHO, 2013. "Financial Integration from a Time-Varying Cointegration Perspective," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(12), pages 1473-1487.
    9. Mishra, Brajesh & Ghosh, Sajal & Kanjilal, Kakali, 2020. "Evaluation of import substitution strategy in Indian telecom sector: Empirical evidence of non-linear dynamics," Telecommunications Policy, Elsevier, vol. 44(7).
    10. Chang-Jin Kim & Cheolbeom Park, 2012. "Disappearing Dividends: Implications for the Dividend-Price Ratio and Return Predictability," Discussion Paper Series 1205, Institute of Economic Research, Korea University.
    11. Grote, Claudia & Sibbertsen, Philipp, 2013. "Testing for Cointegration in a Double-LSTR Framework," Hannover Economic Papers (HEP) dp-514, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    12. Tomás del Barrio Castro & Gianluca Cubadda & Denise R. Osborn, 2022. "On cointegration for processes integrated at different frequencies," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 412-435, May.
    13. Cuestas Juan Carlos & Gil-Alana Luis Alberiko, 2016. "Testing for long memory in the presence of non-linear deterministic trends with Chebyshev polynomials," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(1), pages 57-74, February.
    14. Liddle, Brantley & Parker, Steven, 2022. "One more for the road: Reconsidering whether OECD gasoline income and price elasticities have changed over time," Energy Economics, Elsevier, vol. 114(C).
    15. Christoph Wegener & Tobias Basse & Philipp Sibbertsen & Duc Khuong Nguyen, 2019. "Liquidity risk and the covered bond market in times of crisis: empirical evidence from Germany," Annals of Operations Research, Springer, vol. 282(1), pages 407-426, November.
    16. Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.
    17. Chen, Wen-Yi, 2020. "The welfare effect of co-payment adjustments on emergency department visits in medical centers: Evidence from Taiwan," Health Policy, Elsevier, vol. 124(11), pages 1192-1199.
    18. Joseph, Kishore & Garcia, Philip & Peterson, Paul E., 2016. "Does the Boxed Beef Price Inform the Live Cattle Futures Price?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236166, Agricultural and Applied Economics Association.
    19. Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," CAMA Working Papers 2024-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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  19. Luis Martins, 2009. "Unit root tests and dramatic shifts with infinite variance processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(5), pages 547-571.

    Cited by:

    1. Serttas, Fatma Ozgu, 2010. "Essays on infinite-variance stable errors and robust estimation procedures," ISU General Staff Papers 201001010800002742, Iowa State University, Department of Economics.

  20. Martins, Luis F. & Gabriel, Vasco J., 2009. "New Keynesian Phillips Curves and potential identification failures: A Generalized Empirical Likelihood analysis," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 561-571, December.

    Cited by:

    1. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.
    2. McAdam, Peter & Willman, Alpo, 2011. "Technology, utilization and inflation: what drives the New Keynesian Phillips Curve?," Working Paper Series 1369, European Central Bank.
    3. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    4. Malikane, Christopher, 2012. "Inflation dynamics and the cost channel in emerging markets," MPRA Paper 42688, University Library of Munich, Germany.
    5. Boug, Pål & Cappelen, Adne & Swensen, Anders Rygh, 2010. "The new Keynesian Phillips curve revisited," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 858-874, May.
    6. McAdam, Peter & Muck, Jakub & Growiec, Jakub, 2015. "Will the true labor share stand up?," Working Paper Series 1806, European Central Bank.
    7. Malikane, Christopher & Mokoka, Tshepo, 2012. "Monetary policy credibility: A Phillips curve view," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(3), pages 266-271.
    8. Malikane, Christopher, 2012. "The microfoundations of the Keynesian wage-price spiral," MPRA Paper 42921, University Library of Munich, Germany, revised 29 Nov 2012.
    9. Gross, Marco, 2009. "Nonparametric Hybrid Phillips Curves Based on Subjective Expectations: Estimates for the Euro Area," Working Paper Series 1119, European Central Bank.
    10. Malikane, Christopher, 2013. "A New Keynesian Triangle Phillips Curve," MPRA Paper 43548, University Library of Munich, Germany.
    11. Christopher Malikane & Tshepo Mokoka, 2014. "The new Keynesian Phillips curve: endogeneity and misspecification," Applied Economics, Taylor & Francis Journals, vol. 46(25), pages 3082-3089, September.

  21. Vasco J. Gabriel & Luis F. Martins, 2004. "On the forecasting ability of ARFIMA models when infrequent breaks occur," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 455-475, December.

    Cited by:

    1. Augustine Arize & John Malindretos & Kiseok Nam, 2005. "Inflation and Structural Change in 50 Developing Countries," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 33(4), pages 461-471, December.
    2. Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.
    3. Bisaglia, Luisa & Gerolimetto, Margherita, 2008. "Forecasting long memory time series when occasional breaks occur," Economics Letters, Elsevier, vol. 98(3), pages 253-258, March.
    4. José Belbute & Alfredo M. Pereira, 2016. "Updated Reference Forecasts for Global CO2 Emissions from Fossil-Fuel Consumption," CEFAGE-UE Working Papers 2016_08, University of Evora, CEFAGE-UE (Portugal).
    5. Rasmus T. Varneskov & Pierre Perron, 2017. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series WP2017-006, Boston University - Department of Economics.
    6. Gabriel Rodríguez, 2016. "Modeling Latin-American Stock and Forex Markets Volatility: Empirical Application of a Model with Random Level Shifts and Genuine Long Memory [Modelando la volatilidad de los mercados bursátiles y cam," Documentos de Trabajo / Working Papers 2016-416, Departamento de Economía - Pontificia Universidad Católica del Perú.
    7. Di Sanzo, Silvestro, 2018. "A Markov switching long memory model of crude oil price return volatility," Energy Economics, Elsevier, vol. 74(C), pages 351-359.
    8. Rodríguez, Gabriel, 2017. "Modeling Latin-American stock and Forex markets volatility: Empirical application of a model with random level shifts and genuine long memory," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 393-420.

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