Luis F. Martins

Personal Details

First Name:	Luis
Middle Name:	F.
Last Name:	Martins
Suffix:
RePEc Short-ID:	pma1017
	http://iscte.pt/~lfsm
Terminal Degree:	2005 Department of Economics; Pennsylvania State University (from RePEc Genealogy)

Affiliation

Business School
ISCTE - Instituto Universitário de Lisboa (ISCTE-IUL)

Lisboa, Portugal
http://ibs.iscte.pt/

:


RePEc:edi:bsiscpt (more details at EDIRC)

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. 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.
      • Holt, Matthew T. & Teräsvirta, Timo, 2020. "Global hemispheric temperatures and co-shifting: A vector shifting-mean autoregressive analysis," Journal of Econometrics, Elsevier, vol. 214(1), pages 198-215.
   2. Francisco Estrada & Pierre Perron, 2019. "Saltos, tendencias y la atribución del cambio climático: un análisis de series de tiempo," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 1-31.

2. Luis Filipe Martins & Pierre Perron, 2015. "Improved Tests for Forecast Comparisons in the Presence of Instabilities," Boston University - Department of Economics - Working Papers Series wp2015-014, Boston University - Department of Economics.
   • 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.
   • 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, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
   2. Alessandro Casini, 2018. "Tests for Forecast Instability and Forecast Failure under a Continuous Record Asymptotic Framework," Papers 1803.10883, arXiv.org, revised Dec 2018.
   3. 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.
   4. 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.
   5. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Papers 1805.03807, arXiv.org.
   6. 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.
   7. Fossati, Sebastian, 2017. "Testing for State-Dependent Predictive Ability," Working Papers 2017-9, University of Alberta, Department of Economics.
   8. PERRON, Pierre & YAMAMOTO, Yohei, 2018. "Testing for Changes in Forecasting Performance," Discussion Papers 2018-03, Graduate School of Economics, Hitotsubashi University.

3. Stephen M. Miller & Luis F. Martins & Rangan Gupta, 2014. "A Time-Varying Approach of the US Welfare Cost of Inflation," Working papers 2014-11, University of Connecticut, Department of Economics.
   • 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.
   • 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. Claudiu Tiberiu Albulescu & Dominique P'epin & Stephen Miller, 2017. "The micro-foundations of an open economy money demand: An application to the Central and Eastern European countries," Papers 1704.01840, arXiv.org.
      • Claudiu Tiberiu Albulescu & Dominique Pépin & Stephen M. Miller, 2018. "The Micro-Foundations of an Open Economy Money Demand: An Application to the Central and Eastern European Countries," Working papers 2018-06, University of Connecticut, Department of Economics.
      • 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.
      • Claudiu Tiberiu Albulescu & Dominique Pépin & Stephen Miller, 2019. "The micro-foundations of an open economy money demand: An application to the Central and Eastern European countries," Post-Print hal-01348842, HAL.
   2. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2014. "The Growth-Inflation Nexus for the US over 1801-2013: A Semiparametric Approach," Working Papers 201447, University of Pretoria, Department of Economics.
      • 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.
   3. Jonathan Benchimol & Irfan Qureshi, 2019. "Time-Varying Money Demand and Real Balance Effects," CFDS Discussion Paper Series 2019/7, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
      • Benchimol, Jonathan & Qureshi, Irfan, 2020. "Time-varying money demand and real balance effects," Economic Modelling, Elsevier, vol. 87(C), pages 197-211.
      • Jonathan Benchimol & Irfan Qureshi, 2019. "Time-Varying Money Demand and Real Balance Effects," Globalization Institute Working Papers 364, Federal Reserve Bank of Dallas.

4. Giorgio Gualberti & Luis Filipe Martins & Morgan Bazilian, 2012. "An Econometric Analysis of the Effectiveness of Development Finance for the Energy Sector," Working Papers 2012.100, Fondazione Eni Enrico Mattei.
   • 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 Gabriel & Luis Martins, 2010. "The Cost Channel Reconsidered: A Comment Using an Identification-Robust Approach," School of Economics Discussion Papers 1010, School of Economics, University of Surrey.
   • 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.
   • 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. Meixing Dai & Qiao Zhang, 2017. "Central bank transparency under the cost channel," Post-Print hal-02166805, HAL.
      • Meixing Dai & Qiao Zhang, 2017. "Central bank transparency under the cost channel," International Finance, Wiley Blackwell, vol. 20(2), pages 189-209, June.
   4. 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).

6. 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.
   • 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.
   • Vasco Gabriel & Luis Martins, 2010. "Cointegration Tests under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," School of Economics Discussion Papers 0910, School of Economics, University of Surrey.

   Cited by:

   1. Maki, Daiki, 2012. "Tests for cointegration allowing for an unknown number of breaks," Economic Modelling, Elsevier, vol. 29(5), pages 2011-2015.
   2. Mehmet Balcilar & Charl Jooste & Shawkat Hammoudeh & Rangan Gupta & Vassilios Babalos, 2014. "Are there Long-Run Diversification Gains from the Dow Jones Islamic Finance Index?," Working Papers 201433, University of Pretoria, Department of Economics.
      • Mehmet Balcilar & Charl Jooste & Shawkat Hammoudeh & Rangan Gupta & Vassilios Babalos, 2014. "Are there Long-Run Diversification Gains from the Dow Jones Islamic Finance Index?," Working Papers 15-20, Eastern Mediterranean University, Department of Economics.

7. 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.
   • 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.

   Cited by:

   1. João Pedro Pereira & Vasco Pesquita & Paulo M. M. Rodrigues & António Rua, 2019. "Market integration and the persistence of electricity prices," Empirical Economics, Springer, vol. 57(5), pages 1495-1514, November.
      • António Rua & Paulo M.M. Rodrigues & João Pedro Pereira & Vasco Pesquita, 2016. "Market integration and the persistence of electricity prices," Working Papers w201609, Banco de Portugal, Economics and Research Department.
   2. Süleyman Bolat & Aviral Kumar Tiwari & Phouphet Kyophilavong, 2017. "Testing the inflation rates in MENA countries: Evidence from quantile regression approach and seasonal unit root test," Post-Print hal-02000695, HAL.
      • 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.
   3. Giorgio Canarella & Stephen Miller, 2016. "Inflation persistence and structural breaks: the experience of inflation targeting countries and the US," Journal of Economic Studies, Emerald Group Publishing, vol. 43(6), pages 980-1005, November.
      • 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.
      • Giorgio Canarella & Stephen M. Miller, 2016. "Inflation Persistence and Structural Breaks: The Experience of Inflation Targeting Countries and the US," Working papers 2016-21, University of Connecticut, Department of Economics.
   4. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.
      • Massimiliano Caporin & Rangan Gupta, 2014. "Time-Varying Persistence in US Inflation," Working Papers 201457, University of Pretoria, Department of Economics.
   5. 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.
      • Paulo M.M. Rodrigues & Philipp Sibbertsen & Michelle Voges, 2019. "Testing for breaks in the cointegrating relationship: On the stability of government bond markets’ equilibrium," Working Papers w201912, Banco de Portugal, Economics and Research Department.
   6. Paulo M.M. Rodrigues & Uwe Hassler & Antonio Rubia, 2014. "Persistence in the Banking Industry: Fractional integration and breaks in memory," Working Papers w201406, Banco de Portugal, Economics and Research Department.
      • Hassler, Uwe & Rodrigues, Paulo M.M. & Rubia, Antonio, 2014. "Persistence in the banking industry: Fractional integration and breaks in memory," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 95-112.
   7. Antonakakis, Nikolaos & Cunado, Juncal & Gil-Alana, Luis A. & Gupta, Rangan, 2016. "Is inflation persistence different in reality?," Economics Letters, Elsevier, vol. 148(C), pages 55-58.
      • 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.
   8. 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.
   9. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.
      • 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.
   10. 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.
   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.
       • 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.
   12. 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.
   13. 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.

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, 2008. "Evaluating the German (New Keynesian) Phillips Curve," IWH Discussion Papers 10/2008, Halle Institute for Economic Research (IWH).
      • 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.
      • Vasilev, Aleksandar, 2015. "New Keynesian Phillips Curve Estimation: The Case of Hungary (1981–2006)," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 355-367.
      • Aleksandar Vasilev, 2015. "New Keynesian Phillips Curve Estimation: The Case of Hungary (1981–2006)," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 13(4 (Winter), pages 355-367.

Articles

1. 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.
   • 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.
   • Stephen M. Miller & Luis F. Martins & Rangan Gupta, 2014. "A Time-Varying Approach of the US Welfare Cost of Inflation," Working papers 2014-11, University of Connecticut, Department of Economics.
   See citations under working paper version above.
2. 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. 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.

3. 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. 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.
      • Christina Christou & Rangan Gupta & Wendy Nyakabawo & Mark E. Wohar, 2017. "Do House Prices Hedge Inflation in the US? A Quantile Cointegration Approach," Working Papers 201707, University of Pretoria, Department of Economics.

4. 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. 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.
   2. Katarzyna Przybyła & Alina Kulczyk-Dynowska, 2018. "Transformations and the Level of Tourist Function Development in Polish Voivodeship Capital Cities," Sustainability, MDPI, Open Access Journal, vol. 10(6), pages 1-16, June.
   3. Agnieszka Stacherzak & Maria Hełdak, 2019. "Borough Development Dependent on Agricultural, Tourism, and Economy Levels," Sustainability, MDPI, Open Access Journal, vol. 11(2), pages 1-16, January.
   4. 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, Open Access Journal, vol. 11(7), pages 1-22, April.

5. 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.
   • 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.
   • Luis Filipe Martins & Pierre Perron, 2015. "Improved Tests for Forecast Comparisons in the Presence of Instabilities," Boston University - Department of Economics - Working Papers Series wp2015-014, Boston University - Department of Economics.
   See citations under working paper version above.
6. 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. 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.
   2. 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.
   3. 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.
   4. 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.
   5. 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.

7. Cátia Sousa & Catarina Roseta‐Palma & Luís Filipe Martins, 2015. "Economic growth and transport: On the road to sustainability," Natural Resources Forum, Blackwell Publishing, vol. 0(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, Open Access Journal, 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, Open Access Journal, vol. 10(8), pages 1-34, August.
   3. Beibei Guo & Jinchuan Ke, 2020. "The Impacts of High-speed Rail on Sustainable Economic Development: Evidence from the Central Part of China," Sustainability, MDPI, Open Access Journal, vol. 12(6), pages 1-19, March.
   4. 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, Open Access Journal, vol. 11(1), pages 1-22, December.

8. 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.
   • 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.
   See citations under working paper version above.
9. 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. 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.
   2. 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.
   3. 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.
   4. 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.
   5. 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.
   6. 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.
   7. Gilbert V. Nartea & Harold Glenn A. Valera & Maria Luisa G. Valera, 2019. "Mean Reversion in Asia-Pacific Stock Prices: New Evidence from Quantile Unit Root Tests," Working Papers in Economics 19/16, University of Canterbury, Department of Economics and Finance.
   8. 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.
   9. 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.
   10. 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.
   11. 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.
   12. 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.
   13. 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.
   14. 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.
   15. 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.
   16. João Paulo Vieito & Wing-Keung Wong & Zhen-Zhen Zhu, 2016. "Could the global financial crisis improve the performance of the G7 stocks markets?," Applied Economics, Taylor & Francis Journals, vol. 48(12), pages 1066-1080, March.

10. 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. Naoya Sueishi, 2013. "Generalized Empirical Likelihood-Based Focused Information Criterion and Model Averaging," Econometrics, MDPI, Open Access Journal, vol. 1(2), pages 1-16, July.

11. 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. 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.
       • Christina Christou & Rangan Gupta & Wendy Nyakabawo & Mark E. Wohar, 2017. "Do House Prices Hedge Inflation in the US? A Quantile Cointegration Approach," Working Papers 201707, University of Pretoria, Department of Economics.
    2. Goodness C. Aye & Tsangyao Chang & Rangan Gupta, 2015. "Is Gold an Inflation-Hedge? Evidence from an Interrupted Markov-Switching Cointegration Model," Working Papers 201559, University of Pretoria, Department of Economics.
       • 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. 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.
    4. 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.

12. 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.
       • G. Bampinas & T. Panagiotidis, 2015. "Are Gold and Silver a Hedge against Inflation? A Two Century Perspective," Working Paper series 15-02, Rimini Centre for Economic Analysis.
       • Georgios Bampinas & Theodore Panagiotidis, 2015. "Are Gold and Silver a Hedge against Inflation? A Two Century Perspective," Discussion Paper Series 2015_03, Department of Economics, University of Macedonia, revised Jul 2015.

13. 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.
    • 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.
    • Vasco Gabriel & Luis Martins, 2010. "Cointegration Tests under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," School of Economics Discussion Papers 0910, School of Economics, University of Surrey.
    See citations under working paper version above.
14. 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.
    • 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.
    • Vasco Gabriel & Luis Martins, 2010. "The Cost Channel Reconsidered: A Comment Using an Identification-Robust Approach," School of Economics Discussion Papers 1010, School of Economics, University of Surrey.
    See citations under working paper version above.
15. 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. Stephen M. Miller & Luis F. Martins & Rangan Gupta, 2014. "A Time-Varying Approach of the US Welfare Cost of Inflation," Working papers 2014-11, University of Connecticut, Department of Economics.
       • 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.
       • 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.
    2. Yukai Yang & Luc Bauwens, 2018. "State-Space Models on the Stiefel Manifold with a New Approach to Nonlinear Filtering," Econometrics, MDPI, Open Access Journal, vol. 6(4), pages 1-22, December.
       • Yukai Yang & Luc Bauwens, 2018. "State-Space Models on the Stiefel Manifold with A New Approach to Nonlinear Filtering," CREATES Research Papers 2018-30, Department of Economics and Business Economics, Aarhus University.
       • Yukai Yang & Luc Bauwens, 2018. "State-space models on the Stiefel Manifold with a new approach to nonlinear filtering," CORE Discussion Papers RP 2985, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
       • Gary Koop & Roberto Leon-Gonzales & Rodney W Strachan, 2011. "Bayesian Inference in a Time Varying Cointegration Model," CAMA Working Papers 2011-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
       • Gary Koop & Roberto Leon Gonzalez & Rodney W. Strachan, 2008. "Bayesian Inference in the Time Varying Cointegration Model," GRIPS Discussion Papers 08-01, National Graduate Institute for Policy Studies.
       • Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2008. "Bayesian Inference in the Time Varying Cointegration Model," SIRE Discussion Papers 2008-60, Scottish Institute for Research in Economics (SIRE).
       • Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2011. "Bayesian inference in a time varying cointegration model," Journal of Econometrics, Elsevier, vol. 165(2), pages 210-220.
       • Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "Bayesian Inference in the Time Varying Cointegration Model," Working Paper series 23_08, Rimini Centre for Economic Analysis.
    4. Hassani, Hossein & Silva, Emmanuel Sirimal & Gupta, Rangan & Das, Sonali, 2018. "Predicting global temperature anomaly: A definitive investigation using an ensemble of twelve competing forecasting models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 121-139.
       • Hossein Hassani & Emmanuel Sirimal Silva & Rangan Gupta & Sonali Das, 2015. "Predicting Global Temperature Anomaly: A Definitive Investigation Using an Ensemble of Twelve Competing Forecasting Models," Working Papers 201561, University of Pretoria, Department of Economics.
    5. 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.
       • Christina Christou & Rangan Gupta & Wendy Nyakabawo & Mark E. Wohar, 2017. "Do House Prices Hedge Inflation in the US? A Quantile Cointegration Approach," Working Papers 201707, University of Pretoria, Department of Economics.
    6. 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).
       • Campos, Eduardo Lima & Cysne, Rubens Penha, 2018. "A time-varying fiscal reaction function for Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 798, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    7. Lucey, Brian M. & Sharma, Susan Sunila & Vigne, Samuel A., 2017. "Gold and inflation(s) – A time-varying relationship," Economic Modelling, Elsevier, vol. 67(C), pages 88-101.
    8. 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.
    9. Vasilios Plakandaras & Rangan Gupta & Mark E. Wohar, 2017. "An Assessment of UK Macroeconomic Volatility: Historical Evidence Using Over Seven Centuries of Data," Working Papers 201779, University of Pretoria, Department of Economics.
    10. Haiqiang Chen, "undated". "Robust Estimation and Inference for Threshold Models with Integrated Regressors," Working Papers 2013-12-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
        • Haiqiang Chen, 2013. "Robust Estimation and Inference for Threshold Models with Integrated Regressors," SFB 649 Discussion Papers SFB649DP2013-034, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
        • Chen, Haiqiang, 2015. "Robust Estimation And Inference For Threshold Models With Integrated Regressors," Econometric Theory, Cambridge University Press, vol. 31(4), pages 778-810, August.
    11. 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.
        • G. Bampinas & T. Panagiotidis, 2015. "Are Gold and Silver a Hedge against Inflation? A Two Century Perspective," Working Paper series 15-02, Rimini Centre for Economic Analysis.
        • Georgios Bampinas & Theodore Panagiotidis, 2015. "Are Gold and Silver a Hedge against Inflation? A Two Century Perspective," Discussion Paper Series 2015_03, Department of Economics, University of Macedonia, revised Jul 2015.
    12. Jochmann, Markus & Koop, Gary, 2011. "Regime-Switching Cointegration," SIRE Discussion Papers 2011-60, Scottish Institute for Research in Economics (SIRE).
        • Jochmann, Markus & Koop, Gary, 2011. "Regime-Switching Cointegration," SIRE Discussion Papers 2011-36, Scottish Institute for Research in Economics (SIRE).
        • Jochmann Markus & Koop Gary, 2015. "Regime-switching cointegration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 35-48, February.
        • Markus Jochmann & Gary Koop, 2011. "Regime-Switching Cointegration," Working Paper series 40_11, Rimini Centre for Economic Analysis.
        • Markus Jochmann & Gary Koop, 2011. "Regime-Switching Cointegration," Working Papers 1125, University of Strathclyde Business School, Department of Economics.
    13. 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.
        • 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.
        • Vasco Gabriel & Luis Martins, 2010. "Cointegration Tests under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," School of Economics Discussion Papers 0910, School of Economics, University of Surrey.
    14. Neto, David, 2014. "The FMLS-based CUSUM statistic for testing the null of smooth time-varying cointegration in the presence of a structural break," Economics Letters, Elsevier, vol. 125(2), pages 208-211.
    15. 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.
        • Chang-Jin Kim & Cheolbeom Park, 2013. "Disappearing Dividends: Implications for the Dividend-Price Ratio and Return Predictability," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 933-952, August.
    16. Ripamonti, Alexandre, 2016. "Corwin-Schultz bid-ask spread estimator in the Brazilian stock market," MPRA Paper 79459, University Library of Munich, Germany.
    17. Panopoulou, Ekaterini & Pantelidis, Theologos, 2016. "The Fisher effect in the presence of time-varying coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 495-511.
    18. Mehmet Balcilar & Charl Jooste & Shawkat Hammoudeh & Rangan Gupta & Vassilios Babalos, 2014. "Are there Long-Run Diversification Gains from the Dow Jones Islamic Finance Index?," Working Papers 201433, University of Pretoria, Department of Economics.
        • Mehmet Balcilar & Charl Jooste & Shawkat Hammoudeh & Rangan Gupta & Vassilios Babalos, 2014. "Are there Long-Run Diversification Gains from the Dow Jones Islamic Finance Index?," Working Papers 15-20, Eastern Mediterranean University, Department of Economics.
    19. Grote, Claudia & Sibbertsen, Philipp, 2013. "Testing for Cointegration in a Double-LSTR Framework," Hannover Economic Papers (HEP) dp-514, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    20. Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2015. "Estimation And Inference For Varying-Coefficient Models With Nonstationary Regressors Using Penalized Splines," Econometric Theory, Cambridge University Press, vol. 31(4), pages 753-777, August.
        • Haiqiang Chen & Ying Fang & Yingxing Li, 2013. "Estimation and Inference for Varying-coefficient Models with Nonstationary Regressors using Penalized Splines," SFB 649 Discussion Papers SFB649DP2013-033, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    21. Lips, Johannes, 2016. "Do they still matter? – Impact of Fossil Fuels on Electricity Prices in the Light of Increased Renewable Generation," Annual Conference 2016 (Augsburg): Demographic Change 145601, Verein für Socialpolitik / German Economic Association.
    22. Chen, Jing & Buckland, Roger & Williams, Julian, 2011. "Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 351-373, September.
    23. Labidi, Chiaz & Rahman, Md Lutfur & Hedström, Axel & Uddin, Gazi Salah & Bekiros, Stelios, 2018. "Quantile dependence between developed and emerging stock markets aftermath of the global financial crisis," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 179-211.
    24. Rickard Sandberg, 2017. "Sample Moments and Weak Convergence to Multivariate Stochastic Power Integrals," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 1000-1009, November.
    25. Park, Cheolbeom & Park, Sookyung, 2013. "Exchange rate predictability and a monetary model with time-varying cointegration coefficients," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 394-410.
        • Cheolbeom Park & Sookyung Park, 2013. "Exchange Rate Predictability and a Monetary Model with Time-varying Cointegration Coefficients," Discussion Paper Series 1302, Institute of Economic Research, Korea University.
    26. Chen, Pei-Fen & Lee, Chien-Chiang & Zeng, Jhih-Hong, 2014. "The relationship between spot and futures oil prices: Do structural breaks matter?," Energy Economics, Elsevier, vol. 43(C), pages 206-217.
    27. 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.
    28. Simwaka, Kisu, 2012. "Time varying fractional cointegration," MPRA Paper 39505, University Library of Munich, Germany.
    29. da Fonseca, Eder Lucio & Alencar, Airlane Pereira & Morettin, Pedro Alberto, 2019. "Time-varying cointegration model using wavelets," Statistics & Probability Letters, Elsevier, vol. 145(C), pages 260-267.
    30. Matteo Barigozzi & Antonio Conti, 2013. "On the Stability of Euro Area Money Demand and its Implications for Monetary Policy," LEM Papers Series 2013/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
        • Matteo Barigozzi & Antonio M. Conti, 2018. "On the Stability of Euro Area Money Demand and Its Implications for Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(4), pages 755-787, August.
    31. Gogolin, Fabian & Kearney, Fearghal & Lucey, Brian M. & Peat, Maurice & Vigne, Samuel A., 2018. "Uncovering long term relationships between oil prices and the economy: A time-varying cointegration analysis," Energy Economics, Elsevier, vol. 76(C), pages 584-593.
    32. 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.
    33. Bergamelli, Michele & Bianchi, Annamaria & Khalaf, Lynda & Urga, Giovanni, 2019. "Combining p-values to test for multiple structural breaks in cointegrated regressions," Journal of Econometrics, Elsevier, vol. 211(2), pages 461-482.
    34. Xianguo Huang & Roberto Leon-Gonzalez & Somrasri Yupho, 2012. "Financial Integration from a Time-Varying Cointegration Perspective," GRIPS Discussion Papers 12-07, National Graduate Institute for Policy Studies.
    35. 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.
    36. Gu, Jingping & Liang, Zhongwen, 2014. "Testing cointegration relationship in a semiparametric varying coefficient model," Journal of Econometrics, Elsevier, vol. 178(P1), pages 57-70.
    37. Neto, David, 2012. "Testing and estimating time-varying elasticities of Swiss gasoline demand," Energy Economics, Elsevier, vol. 34(6), pages 1755-1762.
    38. 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.
    39. Bilgin, Mehmet Huseyin & Gogolin, Fabian & Lau, Marco Chi Keung & Vigne, Samuel A., 2018. "Time-variation in the relationship between white precious metals and inflation: A cross-country analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 55-70.
    40. Apergis, Nicholas & Payne, James E., 2014. "The oil curse, institutional quality, and growth in MENA countries: Evidence from time-varying cointegration," Energy Economics, Elsevier, vol. 46(C), pages 1-9.
    41. Ripamonti, Alexandre & Silva, Diego & Moreira Neto, Eurico, 2018. "Asset Pricing and Asymmetric Information," MPRA Paper 87403, University Library of Munich, Germany.
    42. Xiaojie Xu, 2015. "Cointegration among regional corn cash prices," Economics Bulletin, AccessEcon, vol. 35(4), pages 2581-2594.
    43. El-Shazly, Alaa, 2016. "Structural breaks and monetary dynamics: A time series analysis," Economic Modelling, Elsevier, vol. 53(C), pages 133-143.
    44. Apergis, Nicholas, 2016. "Environmental Kuznets curves: New evidence on both panel and country-level CO2 emissions," Energy Economics, Elsevier, vol. 54(C), pages 263-271.
    45. Honorata Nyga-Łukaszewska & Kentaka Aruga & Katarzyna Stala-Szlugaj, 2020. "Energy Security of Poland and Coal Supply: Price Analysis," Sustainability, MDPI, Open Access Journal, vol. 12(6), pages 1-18, March.
    46. Matteo Barigozzi & Antonio Conti, 2010. "On the Sources of Euro Area Money Demand Stability. A Time-Varying Cointegration Analysis," Working Papers ECARES ECARES 2010-022, ULB -- Universite Libre de Bruxelles.
    47. Cardinali Alessandro & Nason Guy P, 2011. "Costationarity of Locally Stationary Time Series," Journal of Time Series Econometrics, De Gruyter, vol. 2(2), pages 1-35, January.
    48. Jing Chen & David G. McMillan & Mike Buckle, 2018. "Information Transmission across European Equity Markets During Crisis Periods," Manchester School, University of Manchester, vol. 86(6), pages 770-788, December.
    49. Roselyne Joyeux & George Milunovich, 2015. "Speculative bubbles, financial crises and convergence in global real estate investment trusts," Applied Economics, Taylor & Francis Journals, vol. 47(27), pages 2878-2898, June.
    50. Chen-Huan Shieh & Shou-Hsiang Liu & Chung-Ching Lee, 2017. "How Stable is the Money Demand in Taiwan?," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 3(5), pages 54-64, 05-2017.
    51. Burak Alparslan Eroglu & J. Isaac Miller & Taner Yigit, 2019. "Time-Varying Cointegration and the Kalman Filter," Working Papers 1905, Department of Economics, University of Missouri.
    52. 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.
    53. Chen, Pei-Fen & Zeng, Jhih-Hong & Lee, Chien-Chiang, 2018. "Renminbi exchange rate assessment and competitors' exports: New perspective," China Economic Review, Elsevier, vol. 50(C), pages 187-205.
    54. ap Gwilym, Rhys & Kanas, Angelos & Molyneux, Philip, 2013. "U.S. prompt corrective action and bank risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 239-257.
    55. Chew Lian Chua & Sarantis Tsiaplias, 2014. "A Bayesian Approach to Modelling Bivariate Time-Varying Cointegration and Cointegrating Rank," Melbourne Institute Working Paper Series wp2014n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

16. 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.

17. 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. Gross, Marco, 2009. "Nonparametric Hybrid Phillips Curves Based on Subjective Expectations: Estimates for the Euro Area," Working Paper Series 1119, European Central Bank.
    2. Scheufele, Rolf, 2008. "Evaluating the German (New Keynesian) Phillips Curve," IWH Discussion Papers 10/2008, Halle Institute for Economic Research (IWH).
       • 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.
    3. Mavroeidis, Sophocles & Plagborg-Moller, Mikkel & Stock, James H., 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Scholarly Articles 22795845, Harvard University Department of Economics.
       • Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, "undated". "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Working Paper 84656, Harvard University OpenScholar.
       • 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. McAdam, Peter & Willman, Alpo, 2011. "Technology, utilization and inflation: what drives the New Keynesian Phillips Curve?," Working Paper Series 1369, European Central Bank.
       • PETER McADAM & ALPO WILLMAN, 2013. "Technology, Utilization, and Inflation: What Drives the New Keynesian Phillips Curve?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1547-1579, December.
       • Peter McAdam & Alpo Willman, 2012. "Technology, Utilization and Inflation: What Drives the New Keynesian Phillips Curve?," School of Economics Discussion Papers 0912, School of Economics, University of Surrey.
    5. Malikane, Christopher, 2013. "A New Keynesian Triangle Phillips Curve," MPRA Paper 43548, University Library of Munich, Germany.
       • Malikane, Christopher, 2014. "A new Keynesian triangle Phillips curve," Economic Modelling, Elsevier, vol. 43(C), pages 247-255.
    6. 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.
    7. Malikane, Christopher, 2012. "Inflation dynamics and the cost channel in emerging markets," MPRA Paper 42688, University Library of Munich, Germany.
    8. Pål Boug & Ådne Cappelen & Anders Rygh Swensen, 2007. "The New Keynesian Phillips Curve revisited," Discussion Papers 500, Statistics Norway, Research Department.
       • 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.
    9. 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.
    10. Malikane, Christopher, 2012. "The Microfoundations of the Keynesian Wage-Price Spiral," MPRA Paper 42923, University Library of Munich, Germany, revised 2012.
        • Malikane, Christopher, 2012. "The microfoundations of the Keynesian wage-price spiral," MPRA Paper 42921, University Library of Munich, Germany, revised 29 Nov 2012.
    11. Jakub Mućk & Peter McAdam & Jakub Growiec, 2018. "Will The “True” Labor Share Stand Up? An Applied Survey On Labor Share Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 961-984, September.
        • McAdam, Peter & Muck, Jakub & Growiec, Jakub, 2015. "Will the true labor share stand up?," Working Paper Series 1806, European Central Bank.

18. 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. 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.
       • 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.
       • Vasco Gabriel & Luis Martins, 2010. "Cointegration Tests under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," School of Economics Discussion Papers 0910, School of Economics, University of Surrey.
    2. 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.
    3. 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.
    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).
       • José M. Belbute & Alfredo Marvão Pereira, 2016. "Updated Reference Forecasts for Global CO2 Emissions from Fossil-Fuel Consumption," Working Papers 170, Department of Economics, College of William and Mary.
    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.
       • Rasmus T. Varneskov & Pierre Perron, 2018. "Combining long memory and level shifts in modelling and forecasting the volatility of asset returns," Quantitative Finance, Taylor & Francis Journals, vol. 18(3), pages 371-393, March.
       • Rasmus T. Varneskov & Pierre Perron, 2015. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series wp2015-015, Boston University - Department of Economics.
       • Rasmus Tangsgaard Varneskov & Pierre Perron, 2011. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," CREATES Research Papers 2011-26, Department of Economics and Business Economics, Aarhus University.
       • Pierre Perron & Rasmus T. Varneskov, 2011. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series WP2011-050, 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. 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.
    8. Bisaglia, Luisa & Gerolimetto, Margherita, 2008. "Forecasting long memory time series when occasional breaks occur," Economics Letters, Elsevier, vol. 98(3), pages 253-258, March.

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Statistics

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Rankings

This author is among the top 5% authors according to these criteria:

1. Betweenness measure in co-authorship network

Co-authorship network on CollEc

Featured entries

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1. Portuguese Economists

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 13 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-MON: Monetary Economics (6) 2006-04-01 2010-12-23 2011-01-30 2011-08-02 2014-06-02 2014-06-14. Author is listed
2. NEP-CBA: Central Banking (4) 2006-04-01 2010-12-23 2011-01-30 2011-08-02
3. NEP-ECM: Econometrics (4) 2010-12-18 2010-12-23 2011-08-02 2016-08-28
4. NEP-ETS: Econometric Time Series (3) 2010-12-18 2011-01-30 2016-08-28
5. NEP-MAC: Macroeconomics (3) 2006-04-01 2014-06-02 2014-06-14
6. NEP-FOR: Forecasting (2) 2006-04-01 2016-08-28
7. NEP-AGR: Agricultural Economics (1) 2017-07-09
8. NEP-CTA: Contract Theory & Applications (1) 2015-07-11
9. NEP-ENE: Energy Economics (1) 2013-02-08
10. NEP-ENV: Environmental Economics (1) 2017-07-09
11. NEP-ORE: Operations Research (1) 2016-08-28
12. NEP-REG: Regulation (1) 2013-02-08

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