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Luis C. Nunes

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Rosado, Marcia A. & Cunha-E-Sã , Maria A. & Ducla-Soares, Maria M. & Nunes, Luis C., 2006. "Combining averting behavior and contingent valuation data: an application to drinking water treatment in Brazil," Environment and Development Economics, Cambridge University Press, vol. 11(6), pages 729-746, December.

    Mentioned in:

    1. > Environmental and Natural Resource Economics > Environmental Economics > Valuation > Contingent valuation method > Revealed preference and joint estimation
  2. Maria A. Cunha-e-Sá & Maria M. Ducla-Soares & Luís C. Nunes & Philippe Polomé, 2004. "Consistency in Mixed Demand Systems: Contingent Valuation and Travel Cost Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 444-454.

    Mentioned in:

    1. > Environmental and Natural Resource Economics > Environmental Economics > Valuation > Contingent valuation method > Revealed preference and joint estimation

Working papers

  1. Joao Firmino & Luis C. Nunes & Silvia de Almeida & Susana Batista, 2020. "Student segregation across and within schools. The case of the Portuguese public school system," Nova SBE Working Paper Series wp633, Universidade Nova de Lisboa, Nova School of Business and Economics.

    Cited by:

    1. Martínez Matute, Marta & Martins, Pedro S., 2020. "How representative are social partners in Europe? The role of dissimilarity," GLO Discussion Paper Series 718, Global Labor Organization (GLO).

  2. Vladimir Otrachshenko & Luis C. Nunes, 2019. "Fire takes no vacation: impact of fires on tourism," Nova SBE Working Paper Series wp632, Universidade Nova de Lisboa, Nova School of Business and Economics.

    Cited by:

    1. Yen E. Lam-González & Carmelo J. León & Javier de León & Chaitanya Suárez-Rojas, 2022. "The Impact of Degradation of Islands’ Land Ecosystems Due to Climate Change on Tourists’ Travel Decisions," Land, MDPI, vol. 11(10), pages 1-16, September.
    2. Robert Steiger & O. Cenk Demiroglu & Marc Pons & Emmanuel Salim, 2023. "Climate and carbon risk of tourism in Europe," Post-Print halshs-03932019, HAL.
    3. Meier, Sarah & Elliott, Robert J.R. & Strobl, Eric, 2023. "The regional economic impact of wildfires: Evidence from Southern Europe," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    4. Raphaelle G. Coulombe & Akhil Rao, 2023. "Fires and Local Labor Markets," Papers 2308.02739, arXiv.org.

  3. Joao Firmino & Luis Catela Nunes & Ana Balcao Reis & Carmo Seabra, 2018. "Class composition and student achievement: evidence from Portugal," Nova SBE Working Paper Series wp624, Universidade Nova de Lisboa, Nova School of Business and Economics.

    Cited by:

    1. Jules Gazeaud & Claire Ricard, 2021. "Conditional Cash Transfers and the Learning Crisis : Evidence from Tayssir Scale-up in Morocco," CERDI Working papers hal-03137463, HAL.
    2. Joao Firmino & Luis C. Nunes & Silvia de Almeida & Susana Batista, 2020. "Student segregation across and within schools. The case of the Portuguese public school system," Nova SBE Working Paper Series wp633, Universidade Nova de Lisboa, Nova School of Business and Economics.

  4. Adriana Ferro & Pedro Freitas & Luis Catela Nunes & Ana Balcao Reis & Carmo Seabra, 2015. "Correcting for sampling problems in PISA and the improvement in Portuguese students' performance," Nova SBE Working Paper Series wp591, Universidade Nova de Lisboa, Nova School of Business and Economics.

    Cited by:

    1. Laura Zieger & John Jerrim & Jake Anders & Nikki Shure, 2020. "Conditioning: How background variables can influence PISA scores," CEPEO Working Paper Series 20-09, UCL Centre for Education Policy and Equalising Opportunities, revised Apr 2020.

  5. Maria Helena Guimaraes & Luis Catela Nunes & Ana Paula Barreira & Thomas Panagopoulos, 2015. "What makes people stay in or leave shrinking cities? An empirical study from Portugal," Nova SBE Working Paper Series wp592, Universidade Nova de Lisboa, Nova School of Business and Economics.

    Cited by:

    1. Jian Liu & Yixin Zhang & Junsong Mao, 2023. "Social Enterprises and Their Role in Revitalizing Shrinking Cities—A Case Study on Shimizusawa of Japan," Land, MDPI, vol. 12(12), pages 1-19, December.
    2. Yuanzhen Song & Weijie He & Jian Zeng, 2023. "Exploration of Spatio-Temporal Evolution and Threshold Effect of Shrinking Cities," Land, MDPI, vol. 12(7), pages 1-21, July.
    3. João Lourenço Marques & Muhammad Tufail & Jan Wolf & Mara Madaleno, 2021. "Population Growth and the Local Provision of Services: The Role of Primary Schools in Portugal," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(2), pages 309-335, April.
    4. Renia Ehrenfeucht & Marla Nelson, 2018. "Moving to a shrinking city? Some suggestive observations on why college-educated professionals came to New Orleans and why they stayed," Urban Studies, Urban Studies Journal Limited, vol. 55(12), pages 2762-2779, September.
    5. Rachel S. Franklin & Eveline S. van Leeuwen, 2018. "For Whom the Bells Toll," International Regional Science Review, , vol. 41(2), pages 134-151, March.

  6. Paulo M.M. Rodrigues & Nuno Sobreira, 2013. "Characterizing economic growth paths based on new structural change tests," Working Papers w201313, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Nuno Sobreira & Luis C. Nunes, 2016. "Tests for Multiple Breaks in the Trend with Stationary or Integrated Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 394-411, June.
    2. Russo, Emanuele & Foster-McGregor, Neil & Verspagen, Bart, 2019. "Characterizing growth instability: new evidence on unit roots and structural breaks in long run time series," MERIT Working Papers 2019-026, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Emanuele Russo & Neil Foster-McGregor, 2022. "Characterizing growth instability: new evidence on unit roots and structural breaks in countries’ long run trajectories," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 713-756, April.

  7. Miguel Lebre de Freitas & Susana Salvado & Luis Catela Nunes & Rui Costa Neves, 2013. "Productive experience and specialization opportunities for Portugal: an empirical assessment," GEE Papers 0010, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2013.

    Cited by:

    1. Clovis Freire, 2017. "Promoting structural transformation: strategic diversification vs. laissez-faire approach," Working Papers 151, United Nations, Department of Economics and Social Affairs.
    2. Freire Junior, Clovis, 2017. "Economic diversification: Explaining the pattern of diversification in the global economy and its implications for fostering diversification in poorer countries," MERIT Working Papers 2017-033, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

  8. Sobreira, Nuno & Nunes, Luis C., 2012. "Tests for Multiple Breaks in the Trend with Stationary or Integrated Shocks," Insper Working Papers wpe_290, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Ghoshray, Atanu, 2021. "Are coffee farmers worse off in the long run?," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311084, Agricultural Economics Society - AES.
    2. Vasudeva N. R. Murthy & Natalya Ketenci, 2017. "Is technology still a major driver of health expenditure in the United States? Evidence from cointegration analysis with multiple structural breaks," International Journal of Health Economics and Management, Springer, vol. 17(1), pages 29-50, March.
    3. Anton Skrobotov, 2014. "A simple modification of the Busetti-Harvey stationarity tests with structural breaks at unknown time," Working Papers 0102, Gaidar Institute for Economic Policy, revised 2014.
    4. Ghoshray, Atanu, 2022. "Trends and persistence of farm-gate coffee prices around the world," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321166, Agricultural Economics Society - AES.
    5. Atanu Ghoshray & Mercedes Monfort & Javier Ordóñez, 2020. "Economic integration and the distribution of income in Europe: A between country analysis," Working Papers 2020/11, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Arsova, Antonia & Karaman Örsal, Deniz Dilan, 2021. "A panel cointegrating rank test with structural breaks and cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 17(C), pages 107-129.
    7. Sobreira, Nuno & Nunesz, Luis C. & Rodriguesz, Paulo M. M., 2012. "Neoclassical, semi-endogenous or endogenous growth theory? Evidence based on new structural change tests," Insper Working Papers wpe_291, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    8. Paulo M.M. Rodrigues & Nuno Sobreira, 2013. "Characterizing economic growth paths based on new structural change tests," Working Papers w201313, Banco de Portugal, Economics and Research Department.
    9. Skrobotov, Anton, 2020. "Survey on structural breaks and unit root tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 96-141.
    10. Ghoshray, Atanu, 2019. "Do international primary commodity prices exhibit asymmetric adjustment?," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 40-50.
    11. Atanu Ghoshray & Sushil Mohan, 2021. "Coffee price dynamics: an analysis of the retail-international price margin [Commodity dependence and development: suggestions to tackle the commodities problem]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 983-1006.

  9. António Rua & Luís Catela Nunes, 2012. "A wavelet-based assessment of market risk: The emerging markets case," Working Papers w201203, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. George Tzagkarakis & Frantz Maurer, 2020. "An energy-based measure for long-run horizon risk quantification," Annals of Operations Research, Springer, vol. 289(2), pages 363-390, June.
    2. Oguzhan Cepni & Yavuz Selim Hacihasanoglu & Muhammed Hasan Yilmaz, 2020. "Credit decomposition and economic activity in Turkey: A wavelet-based approach," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(3), pages 109-131.
    3. Gazi Salah Uddin & Mohamed Arouri & Aviral Kumar Tiwari, 2014. "Co-movements between Germany and International Stock Markets: Some New Evidence from DCC-GARCH and Wavelet Approaches," Working Papers 2014-143, Department of Research, Ipag Business School.
    4. Özmen, M. Utku & Yılmaz, Erdal, 2017. "Co-movement of exchange rates with interest rate differential, risk premium and FED policy in “fragile economies”," Emerging Markets Review, Elsevier, vol. 33(C), pages 173-188.
    5. Manuel Monge & Luis A. Gil-Alana, 2020. "The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies," Risks, MDPI, vol. 8(4), pages 1-17, December.
    6. Aasif Shah & Arif Tali & Qaiser Farooq, 2018. "Beta through the prism of wavelets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-17, December.
    7. Rahul Deora & Duc Khuong Nguyen, 2014. "Time-scale comovement between the Indian and world stock markets," Working Papers 2014-242, Department of Research, Ipag Business School.
    8. William Barnett & Fredj Jawadi & Zied Ftiti, 2020. "Causal Relationships Between Inflation and Inflation Uncertainty," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202010, University of Kansas, Department of Economics, revised Jul 2020.
    9. George Tzagkarakis & Frantz Maurer, 2023. "Horizon-Adaptive Extreme Risk Quantification for Cryptocurrency Assets," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1251-1286, October.
    10. Uddin, Gazi Salah & Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2018. "Time-varying evidence of efficiency, decoupling, and diversification of conventional and Islamic stocks," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 167-180.
    11. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    12. Aloui, Chaker & Hkiri, Besma & Lau, Marco Chi Keung & Yarovaya, Larisa, 2018. "Information transmission across stock indices and stock index futures: International evidence using wavelet framework," Research in International Business and Finance, Elsevier, vol. 44(C), pages 411-421.
    13. Sang Hoon Kang & Salim Lahmiri & Gazi Salah Uddin & Jose Arreola Hernandez & Seong-Min Yoon, 2020. "Inflation cycle synchronization in ASEAN countries," Post-Print hal-02779489, HAL.
    14. Akoum, Ibrahim & Graham, Michael & Kivihaho, Jarno & Nikkinen, Jussi & Omran, Mohammed, 2012. "Co-movement of oil and stock prices in the GCC region: A wavelet analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 385-394.
    15. Anindya Chakrabarty & Anupam De & Gautam Bandyopadhyay, 2016. "Horizon heterogeneity, institutional constraint and managerial myopia: a multi-frequency perspective on ELSS," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 9(1), pages 18-47.
    16. Meng, Xiangcai & Huang, Chia-Hsing, 2019. "The time-frequency co-movement of Asian effective exchange rates: A wavelet approach with daily data," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 131-148.
    17. Bruzda, Joanna, 2019. "Complex analytic wavelets in the measurement of macroeconomic risks," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    18. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.
    19. M. Utku Ozmen & Erdal Yilmaz, 2016. "Co-movement of Exchange Rates with Interest Rate Differential, Risk Premium and FED Policy in �Fragile Economies�," Working Papers 1621, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    20. Antonios K. Alexandridis & Mohammad S. Hasan, 2020. "Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 518-546, October.
    21. McNevin, Bruce D. & Nix, Joan, 2018. "The beta heuristic from a time/frequency perspective: A wavelet analysis of the market risk of sectors," Economic Modelling, Elsevier, vol. 68(C), pages 570-585.
    22. Ijaz Younis & Cheng Longsheng & Muhammad Farhan Basheer & Ahmed Shafique Joyo, 2020. "Stock market comovements among Asian emerging economies: A wavelet-based approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-23, October.
    23. Olaolu Richard Olayeni, 2016. "Causality in Continuous Wavelet Transform Without Spectral Matrix Factorization: Theory and Application," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 321-340, March.
    24. Berdiev, Aziz N. & Chang, Chun-Ping, 2015. "Business cycle synchronization in Asia-Pacific: New evidence from wavelet analysis," Journal of Asian Economics, Elsevier, vol. 37(C), pages 20-33.
    25. Jiang, Zhuhua & Yoon, Seong-Min, 2020. "Dynamic co-movement between oil and stock markets in oil-importing and oil-exporting countries: Two types of wavelet analysis," Energy Economics, Elsevier, vol. 90(C).
    26. Ryuta Sakemoto, 2022. "Multi‐scale inter‐temporal capital asset pricing model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4298-4317, October.
    27. Funashima Yoshito, 2021. "Time–Frequency Regression," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 21-32, January.
    28. Xiaojie Xu, 2018. "Causal structure among US corn futures and regional cash prices in the time and frequency domain," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(13), pages 2455-2480, October.
    29. Bruno Milani & Paulo Sérgio Ceretta, 2014. "A multiscale approach to emerging market pricing," Economics Bulletin, AccessEcon, vol. 34(2), pages 784-792.
    30. Rababa’a, Abdel Razzaq Al & Alomari, Mohammad & Rehman, Mobeen Ur & McMillan, David & Hendawi, Raed, 2022. "Multiscale relationship between economic policy uncertainty and sectoral returns: Implications for portfolio management," Research in International Business and Finance, Elsevier, vol. 61(C).
    31. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    32. Kregždė Arvydas & Kišonaitė Karolina, 2018. "Co-movements of Lithuanian and Central European Stock Markets Across Different Time Horizons: A Wavelet Approach," Ekonomika (Economics), Sciendo, vol. 97(2), pages 55-69, December.
    33. Naseri, Marjan & Masih, Mansur, 2014. "Integration and Comovement of Developed and Emerging Islamic Stock Markets: A Case Study of Malaysia," MPRA Paper 58799, University Library of Munich, Germany.
    34. Erdost Torun & Afife Duygu Ayhan Akdeniz & Erhan Demireli & Simon Grima, 2022. "Long-Term US Economic Growth and the Carbon Dioxide Emissions Nexus: A Wavelet-Based Approach," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    35. Shovon Sengupta & Tanujit Chakraborty & Sunny Kumar Singh, 2023. "Forecasting CPI inflation under economic policy and geo-political uncertainties," Papers 2401.00249, arXiv.org.
    36. Al Rababa’a, Abdel Razzaq & Alomari, Mohammad & McMillan, David, 2021. "Multiscale stock-bond correlation: Implications for risk management," Research in International Business and Finance, Elsevier, vol. 58(C).

  10. Maria A Cunha-e-Sa & Livia Madureira & Luis Catela Nunes & Vladimir Otrachshenko, 2010. "Protesting or justifying? A latent class model for contingent valuation with attitudinal data," Nova SBE Working Paper Series wp547, Universidade Nova de Lisboa, Nova School of Business and Economics.

    Cited by:

    1. William Breffle & Edward Morey & Jennifer Thacher, 2011. "A Joint Latent-Class Model: Combining Likert-Scale Preference Statements With Choice Data to Harvest Preference Heterogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 83-110, September.
    2. Brouwer, Roy & Martín-Ortega, Julia, 2012. "Modeling self-censoring of polluter pays protest votes in stated preference research to support resource damage estimations in environmental liability," Resource and Energy Economics, Elsevier, vol. 34(1), pages 151-166.
    3. Madureira, Lívia & Nunes, Luis C. & Borges, José G. & Falcão, André O., 2011. "Assessing forest management strategies using a contingent valuation approach and advanced visualisation techniques: A Portuguese case study," Journal of Forest Economics, Elsevier, vol. 17(4), pages 399-414.
    4. Jürgen Meyerhoff & Anna Bartczak & Ulf Liebe, 2012. "Protester or non-protester: a binary state? On the use (and non-use) of latent class models to analyse protesting in economic valuation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 438-454, July.

  11. Paulo M.M. Rodrigues & Luís Catela Nunes, 2009. "On LM-Type Tests for Seasonal Unit Roots in the Presence of a Break in Trend," Working Papers w200920, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Junsoo Lee & Mark C. Strazicich, 2013. "Minimum LM unit root test with one structural break," Economics Bulletin, AccessEcon, vol. 33(4), pages 2483-2492.
    2. Tomás Barrio & Mariam Camarero & Cecilio Tamarit, 2019. "Testing for Periodic Integration with a Changing Mean," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 45-75, June.

  12. António Rua & Luís Catela Nunes, 2009. "International comovement of stock market returns: a wavelet analysis," Working Papers w200904, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Marfatia, Hardik A., 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, Elsevier, vol. 34(C), pages 33-49.
    2. Jens J. Krüger, 2021. "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 293-319, December.
    3. Khalfaoui, Rabeh & Padhan, Hemachandra & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2020. "Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India," Resources Policy, Elsevier, vol. 68(C).
    4. Tzagkarakis George & Dionysopoulos Thomas & Achim Alin, 2016. "Recurrence quantification analysis of denoised index returns via alpha-stable modeling of wavelet coefficients: detecting switching volatility regimes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(1), pages 75-96, February.
    5. Aloui, Chaker & Shahzad, Syed Jawad Hussain & Hkiri, Besma & Hela, Ben Hamida & Khan, Muhammad Asif, 2021. "On the investors' sentiments and the Islamic stock-bond interplay across investments' horizons," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    6. Tsangyao Chang & Xiao-lin Li & Stephen M. Miller & Mehmet Balcilar & Rangan Gupta, 2013. "The Co-Movement and Causality between the U.S. Real Estate and Stock Markets in the Time and Frequency Domains," Working Papers 201365, University of Pretoria, Department of Economics.
    7. Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Stephen M. Miller & Rangan Gupta, 2016. "Time-Frequency Relationship between Inflation and Inflation Uncertainty for the U.S.: Evidence from Historical Data," Working papers 2016-12, University of Connecticut, Department of Economics.
    8. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Sun, Xiaoqi, 2017. "Do oil price asymmetric effects on the stock market persist in multiple time horizons?," Applied Energy, Elsevier, vol. 185(P2), pages 1799-1808.
    9. Espoir, Delphin Kamanda & Mudiangombe, Benjamin & Bannor, Frank & Sunge, Regret & Mubenga Tshitaka, Jean-Luc, 2021. "Co2 emissions and economic growth: Assessing the heterogeneous effects across climate regimes in Africa," EconStor Preprints 235479, ZBW - Leibniz Information Centre for Economics.
    10. Martin, Franck & Zhang, Jiangxingyun, 2017. "Modelling European sovereign bond yields with international portfolio effects," Economic Modelling, Elsevier, vol. 64(C), pages 178-200.
    11. Bai, Xiwen & Lam, Jasmine Siu Lee, 2021. "Freight rate co-movement and risk spillovers in the product tanker shipping market: A copula analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    12. Omane-Adjepong, Maurice & Ababio, Kofi Agyarko & Alagidede, Imhotep Paul, 2019. "Time-frequency analysis of behaviourally classified financial asset markets," Research in International Business and Finance, Elsevier, vol. 50(C), pages 54-69.
    13. Vukovic, Darko B. & Lapshina, Kseniya A. & Maiti, Moinak, 2021. "Wavelet coherence analysis of returns, volatility and interdependence of the US and the EU money markets: Pre & post crisis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    14. Wu, Kai & Zhu, Jingran & Xu, Mingli & Yang, Lu, 2020. "Can crude oil drive the co-movement in the international stock market? Evidence from partial wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    15. Ladislav Kristoufek, 2013. "Fractal Markets Hypothesis and the Global Financial Crisis: Wavelet Power Evidence," Papers 1310.1446, arXiv.org.
    16. Aviral Kumar Tiwari & Mihai Ioan Mutascu & Claudiu Tiberiu Albulescu, 2016. "Continuous wavelet transform and rolling correlation of European stock markets," Post-Print hal-03528475, HAL.
    17. Hasan, Md. Bokhtiar & Mahi, Masnun & Hassan, M. Kabir & Bhuiyan, Abul Bashar, 2021. "Impact of COVID-19 pandemic on stock markets: Conventional vs. Islamic indices using wavelet-based multi-timescales analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    18. Farouk, Faizal & Masih, Mansur, 2014. "Are There Profit (Returns) in Shariah-Compliant Exchange Traded Funds? The Multiscale Propensity," MPRA Paper 58869, University Library of Munich, Germany.
    19. Der-Yuan Yang & Chen-Hsun Lee, 2016. "The solar and lunar divide and the impact on Taiwan’s stock returns," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1177153-117, December.
    20. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2017. "Does the crude oil price influence the exchange rates of oil-importing and oil-exporting countries differently? A wavelet coherence analysis," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 536-547.
    21. Bilgili, Faik & Mugaloglu, Erhan & Koçak, Emrah, 2018. "The impact of oil prices on CO2 emissions in China: A Wavelet coherence approach," MPRA Paper 90170, University Library of Munich, Germany.
    22. Mensi, Walid & Hkiri, Besma & Al-Yahyaee, Khamis H. & Kang, Sang Hoon, 2018. "Analyzing time–frequency co-movements across gold and oil prices with BRICS stock markets: A VaR based on wavelet approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 74-102.
    23. Ahmed, Walid M.A., 2022. "On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 135-151.
    24. Aviral Tiwari & Niyati Bhanja & Arif Dar & Faridul Islam, 2015. "Time–frequency relationship between share prices and exchange rates in India: Evidence from continuous wavelets," Empirical Economics, Springer, vol. 48(2), pages 699-714, March.
    25. Dejan Živkov & Slavica Manić & Jelena Kovačević & Željana Trbović, 2022. "Assessing volatility transmission between Brent and stocks in the major global oil producers and consumers – the multiscale robust quantile regression," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(1), pages 67-93, January.
    26. Rubbaniy, Ghulame & Khalid, Ali Awais & Syriopoulos, Konstantinos & Samitas, Aristeidis, 2022. "Safe-haven properties of soft commodities during times of Covid-19," Journal of Commodity Markets, Elsevier, vol. 27(C).
    27. Saiti, Buerhan & Bacha, Obiyathulla & Masih, Mansur, 2014. "Testing the Conventional and Islamic Financial Market Contagion: Evidence from Wavelet Analysis," MPRA Paper 56907, University Library of Munich, Germany.
    28. Huang, Xiaohong & Huang, Shupei, 2020. "Identifying the comovement of price between China's and international crude oil futures: A time-frequency perspective," International Review of Financial Analysis, Elsevier, vol. 72(C).
    29. Yating, Yang & Mughal, Nafeesa & Wen, Jun & Thi Ngan, Truong & Ramirez-Asis, Edwin & Maneengam, Apichit, 2022. "Economic performance and natural resources commodity prices volatility: Evidence from global data," Resources Policy, Elsevier, vol. 78(C).
    30. Eman F. Attia & Sharihan Mohamed Aly & Ahmed said ElRawas & Ebtehal Orabi Awad, 2023. "Portfolio diversification benefits before and during the times of COVID-19: evidence from USA," Future Business Journal, Springer, vol. 9(1), pages 1-15, December.
    31. Hkiri, Besma & Hammoudeh, Shawkat & Aloui, Chaker & Shahbaz, Muhammad, 2018. "The interconnections between U.S. financial CDS spreads and control variables: New evidence using partial and multivariate wavelet coherences," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 237-257.
    32. Bejaoui, Azza & Frikha, Wajdi & Jeribi, Ahmed & Bariviera, Aurelio F., 2023. "Connectedness between emerging stock markets, gold, cryptocurrencies, DeFi and NFT: Some new evidence from wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    33. Kim Hiang Liow & Xiaoxia Zhou & Qiang Li & Yuting Huang, 2019. "Time–Scale Relationship between Securitized Real Estate and Local Stock Markets: Some Wavelet Evidence," JRFM, MDPI, vol. 12(1), pages 1-23, January.
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    269. Abdullah, Ahmad Monir & Saiti, Buerhan & Masih, Abul Mansur M., 2014. "Causality between Stock Market Index and Macroeconomic Variables: A Case Study for Malaysia," MPRA Paper 56987, University Library of Munich, Germany.
    270. Nguyen, Cuong & Ishaq Bhatti, M. & Henry, Darren, 2017. "Are Vietnam and Chinese stock markets out of the US contagion effect in extreme events?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 480(C), pages 10-21.
    271. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    272. Chaker Aloui & Duc Khuong Nguyen, 2014. "On the detection of extreme movements and persistent behavior in Mediterranean stock markets: a wavelet-based approach," Working Papers 2014-184, Department of Research, Ipag Business School.
    273. Faria, Gonçalo & Verona, Fabio, 2018. "The equity risk premium and the low frequency of the term spread," Bank of Finland Research Discussion Papers 7/2018, Bank of Finland.
    274. Buerhan Saiti, 2017. "The Lead-Lag Relationship among East Asian Economies: A Wavelet Analysis," International Business Research, Canadian Center of Science and Education, vol. 10(3), pages 57-68, March.
    275. Yilmaz, Adil & Unal, Gazanfer & Karatasoglu, Cengiz, 2016. "Wavelet Based Analysis Of Major Real Estate Markets," MPRA Paper 74083, University Library of Munich, Germany.
    276. Cheema, Arbab K. & Eshraghi, Arman & Wang, Qingwei, 2023. "Macroeconomic news and price synchronicity," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 390-412.
    277. Naseri, Marjan & Masih, Mansur, 2014. "Integration and Comovement of Developed and Emerging Islamic Stock Markets: A Case Study of Malaysia," MPRA Paper 58799, University Library of Munich, Germany.
    278. Roy, Archi & Soni, Anchal & Deb, Soudeep, 2023. "A wavelet-based methodology to compare the impact of pandemic versus Russia–Ukraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets," Energy Economics, Elsevier, vol. 124(C).
    279. Michael Graham & Jarno Kiviaho & Jussi Nikkinen, 2013. "Short-term and long-term dependencies of the S&P 500 index and commodity prices," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 583-592, March.
    280. Naka, Atsuyuki & Noman, Abdullah, 2017. "Diversification of risk exposure through country mutual funds under alternative investment opportunities," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 215-227.
    281. Sun, Qi & Xu, Weidong, 2018. "Wavelet analysis of the co-movement and lead–lag effect among multi-markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 489-499.
    282. Anwer, Zaheer & Farid, Saqib & Khan, Ashraf & Benlagha, Noureddine, 2023. "Cryptocurrencies versus environmentally sustainable assets: Does a perfect hedge exist?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 418-431.
    283. Imran, Zulfiqar Ali & Ahad, Muhammad, 2021. "Safe Haven or Hedge: Diversification Abilities of Asset Classes in Pakistan," MPRA Paper 107613, University Library of Munich, Germany, revised 02 May 2021.
    284. Yonghong JIANG & Juan MENG & He NIE, 2018. "Visiting the Economic Policy Uncertainty Shocks - Economic Growth Relationship: Wavelet-based Granger-Causality in Quantiles Approac," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 80-94, December.
    285. Juliana Malagon & David Moreno & Rosa Rodr�guez, 2015. "Time horizon trading and the idiosyncratic risk puzzle," Quantitative Finance, Taylor & Francis Journals, vol. 15(2), pages 327-343, February.
    286. Gallegati, Marco & Ramsey, James B. & Semmler, Willi, 2014. "Interest rate spreads and output: A time scale decomposition analysis using wavelets," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 283-290.
    287. Yung-hsiang Ying & Koyin Chang & Ginny ju-ann Yang & Chen-hsun Lee, 2014. "Measuring co-movement of globalization and democratization in the time–frequency space," Economics Bulletin, AccessEcon, vol. 34(1), pages 206-219.
    288. Al-Yahyaee, Khamis Hamed & Rehman, Mobeen Ur & Mensi, Walid & Al-Jarrah, Idries Mohammad Wanas, 2019. "Can uncertainty indices predict Bitcoin prices? A revisited analysis using partial and multivariate wavelet approaches," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 47-56.
    289. Zheng, Biao & Zhang, Yuquan W. & Qu, Fang & Geng, Yong & Yu, Haishan, 2022. "Do rare earths drive volatility spillover in crude oil, renewable energy, and high-technology markets? — A wavelet-based BEKK- GARCH-X approach," Energy, Elsevier, vol. 251(C).
    290. Vidal-Tomás, David, 2023. "The illusion of the metaverse and meta-economy," International Review of Financial Analysis, Elsevier, vol. 86(C).
    291. Upadhyay, Shashankaditya & Banerjee, Anirban & Panigrahi, Prasanta K., 2020. "Causal evolution of global crisis in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    292. Azza Bejaoui & Wajdi Frikha & Ahmed Jeribi, 2023. "On the dynamic connectedness between the G7 stock market indices and different asset classes: Fresh insights from the COVID-19 pandemic and Russia–Ukraine war," SN Business & Economics, Springer, vol. 3(11), pages 1-21, November.
    293. Bredin, Don & Conlon, Thomas & Potì, Valerio, 2015. "Does gold glitter in the long-run? Gold as a hedge and safe haven across time and investment horizon," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 320-328.
    294. El Alaoui, Abdelkader O. & Jusoh, Hashim Bin & Yussof, Sheila Ainon & Hanifa, Mohamed Hisham, 2019. "Evaluation of monetary policy: Evidence of the role of money from Malaysia," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 119-128.
    295. Li, Xiao-Lin & Chang, Tsangyao & Miller, Stephen M. & Balcilar, Mehmet & Gupta, Rangan, 2015. "The co-movement and causality between the U.S. housing and stock markets in the time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 220-233.
    296. Yusoff, Yuzlizawati & Masih, Mansur, 2014. "Comovement of East and West Stock Market Indexes," MPRA Paper 58872, University Library of Munich, Germany.
    297. Sun, Li & Wang, Yang, 2021. "Global economic performance and natural resources commodity prices volatility: Evidence from pre and post COVID-19 era," Resources Policy, Elsevier, vol. 74(C).
    298. Shahzad, Umer & Jena, Sangram Keshari & Tiwari, Aviral Kumar & Doğan, Buhari & Magazzino, Cosimo, 2022. "Time-frequency analysis between Bloomberg Commodity Index (BCOM) and WTI crude oil prices," Resources Policy, Elsevier, vol. 78(C).
    299. Boryana Bogdanova & Ivan Ivanov, 2016. "A wavelet-based approach to the analysis and modelling of financial time series exhibiting strong long-range dependence: the case of Southeast Europe," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(4), pages 655-673, March.
    300. Dejan Zivkov & Suzana Balaban & Jasmina Djuraskovic, 2018. "What Multiscale Approach Can Tell About the Nexus Between Exchange Rate and Stocks in the Major Emerging Markets?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(5), pages 491-512, October.
    301. Ftiti, Zied & Guesmi, Khaled & Abid, Ilyes, 2016. "Oil price and stock market co-movement: What can we learn from time-scale approaches?," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 266-280.
    302. Sevda Kuşkaya & Nurhan Toğuç & Faik Bilgili, 2022. "Wavelet coherence analysis and exchange rate movements," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4675-4692, December.
    303. Aloui, Chaker & Hkiri, Besma, 2014. "Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis," Economic Modelling, Elsevier, vol. 36(C), pages 421-431.
    304. Georgios Magkonis & Karen Jackson, 2019. "Identifying Networks in Social Media: The case of #Grexit," Networks and Spatial Economics, Springer, vol. 19(1), pages 319-330, March.
    305. Berger, Dave & Pukthuanthong, Kuntara & Jimmy Yang, J., 2011. "International diversification with frontier markets," Journal of Financial Economics, Elsevier, vol. 101(1), pages 227-242, July.
    306. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    307. Zhou, Shuai & Qian, Yudan & Farmanesh, Panteha, 2022. "The economic cost of environmental laws: Volatility transmission mechanism and remedies," Resources Policy, Elsevier, vol. 79(C).
    308. Lao, Jiashun & Nie, He & Jiang, Yonghong, 2018. "Revisiting the investor sentiment–stock returns relationship: A multi-scale perspective using wavelets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 420-427.
    309. Dilip M. Nachane & Amlendu Dubey, 2021. "The Spectral Envelope: An Application to the Decoupling Problem in Economics," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 287-308, December.
    310. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2021. "How do Artificial Intelligence and Robotics Stocks co-move with traditional and alternative assets in the age of the 4th industrial revolution? Implications and Insights for the COVID-19 period," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    311. Umar, Zaghum & Gubareva, Mariya & Yousaf, Imran & Ali, Shoaib, 2021. "A tale of company fundamentals vs sentiment driven pricing: The case of GameStop," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    312. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara, 2021. "The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels," Resources Policy, Elsevier, vol. 73(C).
    313. Mao, Xuegeng & Shang, Pengjian, 2018. "Extended AIC model based on high order moments and its application in the financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 264-275.
    314. el Alaoui, AbdelKader Ouatik & Bacha, Obiyathulla Ismath & Masih, Mansur & Asutay, Mehmet, 2016. "Shari’ah screening, market risk and contagion: A multi-country analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 93-112.
    315. Rahim, Adam Mohamed & Masih, Mansur, 2016. "Portfolio diversification benefits of Islamic investors with their major trading partners: Evidence from Malaysia based on MGARCH-DCC and wavelet approaches," Economic Modelling, Elsevier, vol. 54(C), pages 425-438.
    316. M. Kannadhasan & Debojyoti Das, 2019. "Has Co-Movement Dynamics in Brazil, Russia, India, China and South Africa (BRICS) Markets Changed After Global Financial Crisis? New Evidence from Wavelet Analysis," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 15(1), pages 1-26.
    317. Jach, Agnieszka, 2017. "International stock market comovement in time and scale outlined with a thick pen," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 115-129.
    318. George Tzagkarakis & Juliana Caicedo-Llano & Thomas Dionysopoulos, 2016. "Time-Frequency Adapted Market Integration Measure Based on Hough Transformed Multiscale Decompositions," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 1-27, June.
    319. Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Multiscale spillovers, connectedness, and portfolio management among precious and industrial metals, energy, agriculture, and livestock futures," Resources Policy, Elsevier, vol. 74(C).
    320. Tian, Shuairu & Gao, Xiang & Cai, Xiaojing, 2023. "The interactive CNY-CNH relationship: A wavelet analysis," Journal of International Money and Finance, Elsevier, vol. 133(C).
    321. Kyriaki Begiazi & Dimitrios Asteriou & Keith Pilbeam, 2016. "A multivariate analysis of United States and global real estate investment trusts," International Economics and Economic Policy, Springer, vol. 13(3), pages 467-482, July.
    322. Chuluun, Tuugi, 2017. "Global portfolio investment network and stock market comovement," Global Finance Journal, Elsevier, vol. 33(C), pages 51-68.
    323. Pui Sun Tam & Pui I Tam, 2012. "Rethinking stock market integration: Globalization, valuation and convergence," SFB 649 Discussion Papers SFB649DP2012-052, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    324. Mensi, Walid & Rehman, Mobeen Ur & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2023. "Frequency dependence between oil futures and international stock markets and the role of gold, bonds, and uncertainty indices: Evidence from partial and multivariate wavelet approaches," Resources Policy, Elsevier, vol. 80(C).
    325. Agyemang, Abraham & Chowdhury, Iftekhar & Balli, Faruk, 2021. "Quantifying Return Spillovers in Global Real Estate Markets," Journal of Housing Economics, Elsevier, vol. 52(C).
    326. Meng, Xiangcai & Huang, Chia-Hsing, 2021. "The time-frequency analysis of conventional and unconventional monetary policy: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 59(C).
    327. Daniela Castro Camilo & Miguel de Carvalho & Jennifer Wadsworth, 2017. "Time-Varying Extreme Value Dependence with Application to Leading European Stock Markets," Papers 1709.01198, arXiv.org.
    328. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Wen, Shaobo & Hao, Xiaoqing, 2017. "The multiscale impact of exchange rates on the oil-stock nexus: Evidence from China and Russia," Applied Energy, Elsevier, vol. 194(C), pages 667-678.
    329. Yue-Jun Zhang & Shu-Hui Li, 2019. "The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1357-1371, August.
    330. Robert Akunga & Ahmad Hassan Ahmad & Simeon Coleman, 2023. "Financial market integration in sub‐Saharan Africa: How important is contagion?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3637-3653, October.
    331. Jian Zhou, 2012. "Multiscale Analysis of International Linkages of REIT Returns and Volatilities," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1062-1087, November.
    332. Kim Hiang Liow & Xiaoxia Zhou & Qiang Li & Yuting Huang, 2019. "Co-movement between the US and the securitised real estate markets of the Asian-Pacific economies," Journal of Property Research, Taylor & Francis Journals, vol. 36(1), pages 27-58, January.
    333. Sousa, Rita & Aguiar-Conraria, Luís & Soares, Maria Joana, 2014. "Carbon financial markets: A time–frequency analysis of CO2 prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 118-127.
    334. Yang, Lu & Hamori, Shigeyuki, 2015. "Interdependence between the bond markets of CEEC-3 and Germany: A wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 124-138.
    335. Hau, Liya & Zhu, Huiming & Yu, Yang & Yu, Dongwei, 2022. "Time-frequency coherence and quantile causality between trade policy uncertainty and rare earth prices: Evidence from China and the US," Resources Policy, Elsevier, vol. 75(C).
    336. Marcin Koltuniak, 2016. "Examination of the directions of spillover effects between the real estate and stock prices in Poland using wavelet analysis," Bank i Kredyt, Narodowy Bank Polski, vol. 47(3), pages 251-266.
    337. Upadhyay, Shashankaditya & Mukherjee, Indranil & Panigrahi, Prasanta K., 2023. "Inner composition alignment networks reveal financial impacts of COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    338. Ftiti, Zied & Fatnassi, Ibrahim & Tiwari, Aviral Kumar, 2016. "Neoclassical finance, behavioral finance and noise traders: Assessment of gold–oil markets," Finance Research Letters, Elsevier, vol. 17(C), pages 33-40.

  13. António José Morgado & Luis Catela Nunes & Susana Salvado, 2007. "Nowcasting an Economic Aggregate with Disaggregate Dynamic Factors: An Application to Portuguese GDP," GEE Papers 0002, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Feb 2007.

    Cited by:

    1. Daniel Hopp, 2022. "Benchmarking Econometric and Machine Learning Methodologies in Nowcasting," Papers 2205.03318, arXiv.org.
    2. Daniel Hopp, 2021. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Papers 2106.08901, arXiv.org.
    3. Daniel Hopp, 2022. "Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis," Papers 2203.11872, arXiv.org.
    4. Hopp Daniel, 2022. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Journal of Official Statistics, Sciendo, vol. 38(3), pages 847-873, September.

  14. Luis C. Nunes & Jose Oscátegui, 2006. "Determinants of FDI in Latin America," Documentos de Trabajo / Working Papers 2006-252, Departamento de Economía - Pontificia Universidad Católica del Perú.

    Cited by:

    1. Huadong Chang & Guozhi An, 2019. "Leviathan is in Action? The Political Motivation behind the Outbound Investments of SWFs," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 9(5), pages 1-4.
    2. Folorunso S. Ayadi, 2010. "Sectoral analysis of Foreign Direct Investment and economic growth in Nigeria," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 3(4), pages 327-340.
    3. Pamela Coke Hamilton & Yvonne Tsikata & Emmanuel Pinto Moreira, 2009. "Accelerating Trade and Integration in the Caribbean : Policy Options for Sustained Growth, Job Creation, and Poverty Reduction," World Bank Publications - Books, The World Bank Group, number 2652, December.
    4. Azam, Muhammad & Khan, Hashim & Hunjra, Ahmed Imran & Ahmad, H. Mushtaq & Chani, Muhammad Irfan, 2011. "Institutions, macroeconomic policy and foreign direct investment: South Asian countries case," MPRA Paper 32480, University Library of Munich, Germany.
    5. Mumtaz Hussain Shah & Saba Qayyum, 2015. "Impact of Double Taxation Treaties on Inward FDI in Latin American and Caribbean Developing Countries," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 7(1), pages 1-18, April.
    6. Hsiang-Hsi Liu & Pitprapha Dejphanomporn, 2022. "Main Determinants Influencing Inward and Outward Foreign Direct Investments in Thailand: Comparisons and Vital Implications," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(1), pages 1-1.

  15. Luis C. Nunes, 2004. "LM-Type tests for a Unit Root Allowing for a Break in Trend," Econometric Society 2004 Australasian Meetings 190, Econometric Society.

    Cited by:

    1. Pui Sun Tam & University of Macau, 2006. "Breaking trend panel unit root tests," Computing in Economics and Finance 2006 341, Society for Computational Economics.
    2. Chou, Win Lin, 2007. "Performance of LM-type unit root tests with trend break: A bootstrap approach," Economics Letters, Elsevier, vol. 94(1), pages 76-82, January.
    3. Chou, Win Lin, 2007. "Explaining China's regional health expenditures using LM-type unit root tests," Journal of Health Economics, Elsevier, vol. 26(4), pages 682-698, July.

  16. Jorge Braga de Macedo & Luis Catela Nunes & Luis Brites Pereira, 2003. "Central bank intervenyion under target zones: the portuguese escudo in the ERM," Nova SBE Working Paper Series wp435, Universidade Nova de Lisboa, Nova School of Business and Economics.

    Cited by:

    1. Lopes, José Mário & Nunes, Luis C., 2012. "A Markov regime switching model of crises and contagion: The case of the Iberian countries in the EMS," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1141-1153.
    2. Jorge Braga de Macedo, 2007. "A mudança do regime cambial português: Um balanço 15 anos depois de Maastricht," Nova SBE Working Paper Series wp502, Universidade Nova de Lisboa, Nova School of Business and Economics.
    3. Jorge Braga de Macedo & Luis Pereira & Afonso Reis, 2009. "Comparing Exchange Market Pressure across Five African Countries," Open Economies Review, Springer, vol. 20(5), pages 645-682, November.
    4. Jorge Braga de Macedo & José Braz & Luis Brites Pereira & Luis C. Nunes, 2006. "Exchange market pressure and the credibility of Macau's currency Board," Nova SBE Working Paper Series wp492, Universidade Nova de Lisboa, Nova School of Business and Economics.

  17. Luís Catela Nunes, 2003. "Forecasting Euro Area Aggregates with Bayesian VAR and VECM Models," Working Papers w200304, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Branimir, Jovanovic & Magdalena, Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," MPRA Paper 43162, University Library of Munich, Germany.
    2. Saker Sabkha & Christian de Peretti & Dorra Mezzez Hmaied, 2019. "International risk spillover in the sovereign credit markets: An empirical analysis," Post-Print hal-01652526, HAL.
    3. Ahmed, Abdullahi D. & Huo, Rui, 2019. "Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence, information transmission and market co-movement," Economic Modelling, Elsevier, vol. 79(C), pages 28-46.
    4. Branimir Jovanovic & Magdalena Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," Working Papers 2010-02, National Bank of the Republic of North Macedonia, revised Aug 2010.
    5. Ashwin Madhou & Tayushma Sewak & Imad Moosa & Vikash Ramiah, 2017. "GDP nowcasting: application and constraints in a small open developing economy," Applied Economics, Taylor & Francis Journals, vol. 49(38), pages 3880-3890, August.

  18. António Rua & Luís Catela Nunes, 2003. "Coincident and Leading Indicators for the Euro Area: A Frequency Band Approach," Working Papers w200307, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Jens J. Krüger, 2021. "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 293-319, December.
    2. Gazi Salah Uddin & Mohamed Arouri & Aviral Kumar Tiwari, 2014. "Co-movements between Germany and International Stock Markets: Some New Evidence from DCC-GARCH and Wavelet Approaches," Working Papers 2014-143, Department of Research, Ipag Business School.
    3. de Carvalho, Miguel & Rua, António, 2017. "Real-time nowcasting the US output gap: Singular spectrum analysis at work," International Journal of Forecasting, Elsevier, vol. 33(1), pages 185-198.
    4. Luc Dresse & Christophe Van Nieuwenhuyze, 2008. "Do survey indicators let us see the business cycle ? A frequency decomposition," Working Paper Research 131, National Bank of Belgium.
    5. Cravo, Túlio A., 2011. "Are small employers more cyclically sensitive? Evidence from Brazil," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 754-769.
    6. Rua, António, 2010. "Measuring comovement in the time-frequency space," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 685-691, June.
    7. Abberger, Klaus & Graff, Michael & Siliverstovs, Boriss & Sturm, Jan-Egbert, 2018. "Using rule-based updating procedures to improve the performance of composite indicators," Economic Modelling, Elsevier, vol. 68(C), pages 127-144.
    8. Éric Dubois, 2006. "Présentation générale," Économie et Prévision, Programme National Persée, vol. 172(1), pages 1-9.
    9. António Rua & Artur Silva Lopes, 2012. "Cohesion within the euro area and the U. S.: a wavelet-based view," Working Papers w201204, Banco de Portugal, Economics and Research Department.
    10. Soh, Ann-Ni, 2020. "A Review on the Leading Indicator Approach towards Economic Forecasting," MPRA Paper 103854, University Library of Munich, Germany.
    11. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2007. "Consumer confidence in Europe : United in diversity," Other publications TiSEM ea8c3268-2c0b-4fcc-9d4a-6, Tilburg University, School of Economics and Management.
    12. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    13. Ftiti, Zied & Guesmi, Khaled & Abid, Ilyes, 2016. "Oil price and stock market co-movement: What can we learn from time-scale approaches?," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 266-280.
    14. Gallegati, Marco & Delli Gatti, Domenico, 2018. "Macrofinancial imbalances in historical perspective: A global crisis index," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 190-205.
    15. Junyi Shi, 2020. "Re-Measurement Of Short-Term International Capital Flows And Its Application: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(06), pages 1645-1665, December.
    16. Kosei Fukuda, 2008. "Differentiating between business cycles and growth cycles: evidence from 15 developed countries," Applied Economics, Taylor & Francis Journals, vol. 40(7), pages 875-883.

  19. Marcia A. Rosado & Maria A. Cunha-e-Sa & Maria M. Ducla-Soares & Luis C. Nunes, 2000. "Combining averting behavior and contingent valuation data: an application to drinking water treatment," Nova SBE Working Paper Series wp392, Universidade Nova de Lisboa, Nova School of Business and Economics.

    Cited by:

    1. Ian Bateman & Georgina Mace & Carlo Fezzi & Giles Atkinson & Kerry Turner, 2011. "Economic Analysis for Ecosystem Service Assessments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(2), pages 177-218, February.

  20. Braga de Macedo, Jorge & Catela Nunes, Luís & Covas, Francisco, 1999. "Moving the Escudo into the Euro," CEPR Discussion Papers 2248, C.E.P.R. Discussion Papers.

    Cited by:

    1. Lopes, José Mário & Nunes, Luis C., 2012. "A Markov regime switching model of crises and contagion: The case of the Iberian countries in the EMS," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1141-1153.

Articles

  1. Otrachshenko, Vladimir & Nunes, Luis C., 2022. "Fire takes no vacation: impact of fires on tourism," Environment and Development Economics, Cambridge University Press, vol. 27(1), pages 86-101, February.
    See citations under working paper version above.
  2. Pedro Luis Silva & Luis Catela Nunes & Carmo Seabra & Ana Balcao Reis & Miguel Alves, 2020. "Student selection and performance in higher education: admission exams vs. high school scores," Education Economics, Taylor & Francis Journals, vol. 28(5), pages 437-454, September.

    Cited by:

    1. Silva, Pedro Luís, 2022. "Specialists or All-Rounders: How Best to Select University Students?," IZA Discussion Papers 15271, Institute of Labor Economics (IZA).
    2. Silva, Pedro Luís & Sá, Carla & Biscaia, Ricardo & Teixeira, Pedro N., 2022. "High School and Exam Scores: Does Their Predictive Validity for Academic Performance Vary with Programme Selectivity?," IZA Discussion Papers 15350, Institute of Labor Economics (IZA).
    3. Karlsson, Linn & Wikström, Magnus, 2021. "Admission groups and academic performance: A study of marginal entrants in the selection to higher education," Umeå Economic Studies 1000, Umeå University, Department of Economics.

  3. Ana Paula Barreira & Luís Catela Nunes & Maria Helena Guimarães & Thomas Panagopoulos, 2019. "Satisfied but thinking about leaving: the reasons behind residential satisfaction and residential attractiveness in shrinking Portuguese cities," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 23(1), pages 67-87, January.

    Cited by:

    1. Catarina De Sousa Silva & Inês Viegas & Τhomas Panagopoulos & Simon Bell, 2018. "Environmental Justice in Accessibility to Green Infrastructure in Two European Cities," Land, MDPI, vol. 7(4), pages 1-23, November.
    2. Krzysztof Herman & Madalina Sbarcea & Thomas Panagopoulos, 2018. "Creating Green Space Sustainability through Low-Budget and Upcycling Strategies," Sustainability, MDPI, vol. 10(6), pages 1-15, June.
    3. Mihaela Preda & Iuliana Vijulie & Ana-Irina Lequeux-Dincă & Marta Jurchescu & Alina Mareci & Alexandru Preda, 2022. "How Do the New Residential Areas in Bucharest Satisfy Population Demands, and Where Do They Fall Short?," Land, MDPI, vol. 11(6), pages 1-28, June.

  4. Luis Catela Nunes & Ana Balcão Reis & Carmo Seabra, 2018. "Is retention beneficial to low-achieving students? Evidence from Portugal," Applied Economics, Taylor & Francis Journals, vol. 50(40), pages 4306-4317, August.

    Cited by:

    1. Joana Pipa & Francisco Peixoto, 2022. "One Step Back or One Step Forward? Effects of Grade Retention and School Retention Composition on Portuguese Students’ Psychosocial Outcomes Using PISA 2018 Data," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    2. Javier Valbuena & Mauro Mediavilla & Álvaro Choi & María Gil, 2021. "Effects Of Grade Retention Policies: A Literature Review Of Empirical Studies Applying Causal Inference," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 408-451, April.
    3. Martins, Pedro S., 2023. "The Wage Effects of Employers' Associations: A Case Study of the Private Schools Sector," IZA Discussion Papers 16476, Institute of Labor Economics (IZA).

  5. Ribeiro, Paulo Flores & Nunes, Luís Catela & Beja, Pedro & Reino, Luís & Santana, Joana & Moreira, Francisco & Santos, José Lima, 2018. "A Spatially Explicit Choice Model to Assess the Impact of Conservation Policy on High Nature Value Farming Systems," Ecological Economics, Elsevier, vol. 145(C), pages 331-338.

    Cited by:

    1. Costanza Fiorentino & Paola D’Antonio & Francesco Toscano & Angelo Donvito & Felice Modugno, 2023. "New Technique for Monitoring High Nature Value Farmland (HNVF) in Basilicata," Sustainability, MDPI, vol. 15(10), pages 1-13, May.
    2. Friederike Lehn & Enno Bahrs, 2018. "Land-Use Competition or Compatibility between Nature Conservation and Agriculture? The Impact of Protected Areas on German Standard Farmland Values," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    3. Niskanen, Olli & Tienhaara, Annika & Haltia, Emmi & Pouta, Eija, 2021. "Farmers’ heterogeneous preferences towards results-based environmental policies," Land Use Policy, Elsevier, vol. 102(C).
    4. Šumrada, Tanja & Vreš, Branko & Čelik, Tatjana & Šilc, Urban & Rac, Ilona & Udovč, Andrej & Erjavec, Emil, 2021. "Are result-based schemes a superior approach to the conservation of High Nature Value grasslands? Evidence from Slovenia," Land Use Policy, Elsevier, vol. 111(C).
    5. Pacheco de Castro Flores Ribeiro, Paulo & Osório de Barros de Lima e Santos, José Manuel & Prudêncio Rafael Canadas, Maria João & Contente de Vinha Novais, Ana Maria & Ribeiro Ferraria Moreira, Franci, 2021. "Explaining farming systems spatial patterns: A farm-level choice model based on socioeconomic and biophysical drivers," Agricultural Systems, Elsevier, vol. 191(C).
    6. Ernst-August Nuppenau, 2022. "Central and Decentral Aspects of Land Use: Optimizing Public Finance and Payments for Nature in Space by Control Theory," SN Operations Research Forum, Springer, vol. 3(3), pages 1-36, September.

  6. Nuno Sobreira & Luis C. Nunes, 2016. "Tests for Multiple Breaks in the Trend with Stationary or Integrated Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 394-411, June.
    See citations under working paper version above.
  7. Maria Helena Guimarães & Luis Catela Nunes & Ana Paula Barreira & Thomas Panagopoulos, 2016. "What makes people stay in or leave shrinking cities? An empirical study from Portugal," European Planning Studies, Taylor & Francis Journals, vol. 24(9), pages 1684-1708, September.
    See citations under working paper version above.
  8. Nunes, Luis C. & Reis, Ana Balcão & Seabra, Carmo, 2015. "The publication of school rankings: A step toward increased accountability?," Economics of Education Review, Elsevier, vol. 49(C), pages 15-23.

    Cited by:

    1. Fritz Schiltz & Paolo Sestito & Tommaso Agasisti & Kristof De Witte, 2019. "The added value of more accurate predictions for school rankings," Temi di discussione (Economic working papers) 1209, Bank of Italy, Economic Research and International Relations Area.
    2. Lazaretti, Lauana Rossetto & Aniceto França, Marco Túlio, 2020. "School competition and performance indicators: evidence from the creation of federal education institutions in Brazil," International Journal of Educational Development, Elsevier, vol. 77(C).
    3. João Pereira dos Santos & José Tavares & José Mesquita, 2021. "Leave them kids alone! National exams as a political tool," Public Choice, Springer, vol. 189(3), pages 405-426, December.
    4. Trinidad, Jose Eos, 2022. "Meaning-Making, Negotiation, and Change: Reviewing the Organization and Ecology of School Accountability," SocArXiv ywm8b, Center for Open Science.
    5. Yuta Kuroda, 2022. "What does the disclosure of school quality information bring? The effect through the housing market," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 125-149, January.

  9. Guimarães, Maria Helena & Nunes, Luís Catela & Madureira, Lívia & Santos, José Lima & Boski, Tomasz & Dentinho, Tomaz, 2015. "Measuring birdwatchers preferences: A case for using online networks and mixed-mode surveys," Tourism Management, Elsevier, vol. 46(C), pages 102-113.

    Cited by:

    1. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
    2. Frontuto, Vito & Dalmazzone, Silvana & Vallino, Elena & Giaccaria, Sergio, 2017. "Earmarking conservation: Further inquiry on scope effects in stated preference methods applied to nature-based tourism," Tourism Management, Elsevier, vol. 60(C), pages 130-139.
    3. Juan Carlos Martín & Concepción Román & Cira Mendoza, 2018. "Determinants for sun-and-beach self-catering accommodation selection," Tourism Economics, , vol. 24(3), pages 319-336, May.
    4. Guimarães, Mª. Helena & Madureira, Lívia & Nunes, Luís Catela & Santos, José Lima & Sousa, Carlos & Boski, Tomasz & Dentinho, Tomaz, 2014. "Using Choice Modeling to estimate the effects of environmental improvements on local development: When the purpose modifies the tool," Ecological Economics, Elsevier, vol. 108(C), pages 79-90.
    5. George Halkos & Aikaterini Leonti & Eleni Sardianou, 2020. "Assessing the Preservation of Parks and Natural Protected Areas: A Review of Contingent Valuation Studies," Sustainability, MDPI, vol. 12(11), pages 1-24, June.

  10. Maria A. Cunha-e-Sá & Luis C. Nunes & Vladimir Otrachshenko, 2015. "Accounting for Response Biases in Latent-Class Models for Choices and Attitudes," Land Economics, University of Wisconsin Press, vol. 91(3), pages 586-603.

    Cited by:

    1. Otrachshenko, Vladimir & Tyurina, Elena & Nagapetyan, Artur, 2022. "The economic value of the Glass Beach: Contingent valuation and life satisfaction approaches," Ecological Economics, Elsevier, vol. 198(C).
    2. Ulrich J Frey & Frauke Pirscher, 2019. "Distinguishing protest responses in contingent valuation: A conceptualization of motivations and attitudes behind them," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-20, January.

  11. Miguel Lebre de Freitas & Luis Nunes & Rui Neves & Susana Salvado, 2015. "Productive experience and specialization opportunities for Portugal: an empirical assessment," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 14(1), pages 5-30, December.
    See citations under working paper version above.
  12. Guimarães, Mª. Helena & Madureira, Lívia & Nunes, Luís Catela & Santos, José Lima & Sousa, Carlos & Boski, Tomasz & Dentinho, Tomaz, 2014. "Using Choice Modeling to estimate the effects of environmental improvements on local development: When the purpose modifies the tool," Ecological Economics, Elsevier, vol. 108(C), pages 79-90.

    Cited by:

    1. Cheng Zong & Kun Cheng & Chun-Hung Lee & Nai-Lun Hsu, 2017. "Capturing Tourists’ Preferences for the Management of Community-Based Ecotourism in a Forest Park," Sustainability, MDPI, vol. 9(9), pages 1-16, September.
    2. Han-Shen Chen & Chu-Wei Chen, 2019. "Economic Valuation of Green Island, Taiwan: A Choice Experiment Method," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    3. Chun-Lin Lee & Chiung-Hsin Wang & Chun-Hung Lee & Supasit Sriarkarin, 2019. "Evaluating the Public’s Preferences toward Sustainable Planning under Climate and Land Use Change in Forest Parks," Sustainability, MDPI, vol. 11(11), pages 1-18, June.
    4. Maria Salvo & Giuseppe Cucuzza & Giovanni Signorello, 2022. "Using discrete choice experiments to explore how bioecological attributes of sites drive birders’ preferences and willingness to travel," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(2), pages 119-146, April.
    5. Chun-Hung Lee & Chiung-Hsin Wang, 2017. "Estimating Residents’ Preferences of the Land Use Program Surrounding Forest Park, Taiwan," Sustainability, MDPI, vol. 9(4), pages 1-19, April.

  13. Inês Viegas & Luís Catela Nunes & Lívia Madureira & Magda Aguiar Fontes & José Lima Santos, 2014. "Beef Credence Attributes: Implications of Substitution Effects on Consumers’ WTP," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(3), pages 600-615, September.

    Cited by:

    1. Akinwehinmi, Oluwagbenga & Ogundari, Kolawole & Amos, Taiwo, 2021. "Consumers' Food Control Risk Perception and Preference for Government-Controlled Safety Certification in Emerging Food Markets," 2021 Conference, August 17-31, 2021, Virtual 315312, International Association of Agricultural Economists.
    2. Lingling Xu & Xixi Yang & Linhai Wu & Xiujuan Chen & Lu Chen & Fu-Sheng Tsai, 2019. "Consumers’ Willingness to Pay for Food with Information on Animal Welfare, Lean Meat Essence Detection, and Traceability," IJERPH, MDPI, vol. 16(19), pages 1-22, September.
    3. Vincenzina Caputo & Riccardo Scarpa & Rodlofo M. Nayga & David L. Ortega, 2017. "Are Preferences for Food Quality Attributes Really Normally Distributed? An Analysis Using Flexible Mixing Distributions," Working Papers in Economics 17/27, University of Waikato.
    4. Stephane Bergeron & Maurice Doyon & Laurent Muller, 2019. "Strategic response: A key to understand how cheap talk works," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 75-83, March.
    5. Gibson, Fiona & Pannell, David & Boxall, Peter & Burton, Michael & Johnston, Robert & Kragt, Marit & Rogers, Abbie & Rolfe, John, 2016. "Non-market valuation in the economic analysis of natural hazards," Working Papers 236941, University of Western Australia, School of Agricultural and Resource Economics.
    6. Baoubadi Atozou & Lota D. Tamini & Maurice Doyon, 2022. "Bargaining power and risk from substitutability between products attributes the case of specialty eggs in Canada," Agricultural Economics, International Association of Agricultural Economists, vol. 53(1), pages 155-169, January.
    7. Marco Lerro & Riccardo Vecchio & Francesco Caracciolo & Stefano Pascucci & Luigi Cembalo, 2018. "Consumers' heterogeneous preferences for corporate social responsibility in the food industry," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 25(6), pages 1050-1061, November.
    8. Faical Akaichi & Klaus Glenk & Cesar Revoredo‐Giha, 2022. "Bundling food labels: What role could the labels “Organic,” “Local” and “Low Fat” play in fostering the demand for animal‐friendly meat," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 349-370, April.
    9. Santeramo, Fabio Gaetano & Lamonaca, Emilia, 2020. "Objective risk and subjective risk: The role of information in food supply chains," MPRA Paper 104515, University Library of Munich, Germany.

  14. Nuno Sobreira & Luis C. Nunes & Paulo M. M. Rodrigues, 2014. "Characterizing Economic Growth Paths Based On New Structural Change Tests," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 845-861, April.
    See citations under working paper version above.
  15. Rua, António & Nunes, Luis C., 2012. "A wavelet-based assessment of market risk: The emerging markets case," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 84-92.
    See citations under working paper version above.
  16. Lopes, José Mário & Nunes, Luis C., 2012. "A Markov regime switching model of crises and contagion: The case of the Iberian countries in the EMS," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1141-1153.

    Cited by:

    1. Oscar V. De la Torre-Torres & José Álvarez-García & María de la Cruz del Río-Rama, 2024. "An EM/MCMC Markov-Switching GARCH Behavioral Algorithm for Random-Length Lumber Futures Trading," Mathematics, MDPI, vol. 12(3), pages 1-21, February.
    2. Ji, Qiang & Liu, Bing-Yue & Cunado, Juncal & Gupta, Rangan, 2020. "Risk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching: Evidence from over a century of data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    3. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2020. "Markov-Switching Stochastic Processes in an Active Trading Algorithm in the Main Latin-American Stock Markets," Mathematics, MDPI, vol. 8(6), pages 1-22, June.
    4. Oscar V. De la Torre-Torres & Dora Aguilasocho-Montoya & María de la Cruz del Río-Rama, 2020. "A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures," Mathematics, MDPI, vol. 8(6), pages 1-19, June.
    5. Kangogo, Moses & Volkov, Vladimir, 2022. "Detecting signed spillovers in global financial markets: A Markov-switching approach," International Review of Financial Analysis, Elsevier, vol. 82(C).
    6. 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.

  17. Maria Cunha-e-Sá & Lívia Madureira & Luis Nunes & Vladimir Otrachshenko, 2012. "Protesting and Justifying: A Latent Class Model for Contingent Valuation with Attitudinal Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(4), pages 531-548, August.

    Cited by:

    1. Otrachshenko, Vladimir & Tyurina, Elena & Nagapetyan, Artur, 2022. "The economic value of the Glass Beach: Contingent valuation and life satisfaction approaches," Ecological Economics, Elsevier, vol. 198(C).
    2. Galina Williams, 2015. "Households Willingness to Pay for the Emissions Reduction Policy, Queensland, Australia," SAGE Open, , vol. 5(3), pages 21582440156, September.
    3. Maria A. Cunha-e-Sa & Luis C. Nunes & Vladimir Otrachshenko, 2012. "Protest attitudes and stated preferences: evidence on scale usage heterogeneity," Nova SBE Working Paper Series wp569, Universidade Nova de Lisboa, Nova School of Business and Economics.
    4. Lewis, David J. & Provencher, Bill & Beardmore, Ben, 2015. "Using an intervention framework to value salient ecosystem services in a stated preference experiment," Ecological Economics, Elsevier, vol. 114(C), pages 141-151.
    5. Victor Champonnois, 2019. "How does trust in institutions affect protest responses in environmental valuation surveys?," Post-Print hal-02965274, HAL.
    6. Peter A. Groothuis & Tanga M. Mohr & John C. Whitehead & Kristan Cockerill, 2015. "Payment and Policy Consequentiality in Contingent Valuation," Working Papers 15-04, Department of Economics, Appalachian State University.
    7. Mohammad Abu-Zaineh & Olivier Chanel & Khaled Makhloufi, 2022. "Estimating willingness to pay for public health insurance while accounting for protest responses: A further step towards universal health coverage in Tunisia?," Post-Print hal-03684923, HAL.
    8. Rosenberger, Randall S. & Needham, Mark D. & Morzillo, Anita T. & Moehrke, Caitlin, 2012. "Attitudes, willingness to pay, and stated values for recreation use fees at an urban proximate forest," Journal of Forest Economics, Elsevier, vol. 18(4), pages 271-281.
    9. Egan, Kevin J. & Corrigan, Jay R. & Dwyer, Daryl F., 2015. "Three reasons to use annual payments in contingent valuation surveys: Convergent validity, discount rates, and mental accounting," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 123-136.
    10. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum probability: A new method for modelling travel behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 165-198.

  18. Edviges Coelho & Luis C. Nunes, 2011. "Forecasting mortality in the event of a structural change," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 713-736, July.

    Cited by:

    1. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    2. Blake, David & El Karoui, Nicole & Loisel, Stéphane & MacMinn, Richard, 2018. "Longevity risk and capital markets: The 2015–16 update," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 157-173.
    3. Schinzinger, Edo & Denuit, Michel M. & Christiansen, Marcus C., 2016. "A multivariate evolutionary credibility model for mortality improvement rates," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 70-81.
    4. Suryo Adi Rakhmawan & M. Hafidz Omar & Muhammad Riaz & Nasir Abbas, 2023. "Hotelling T 2 Control Chart for Detecting Changes in Mortality Models Based on Machine-Learning Decision Tree," Mathematics, MDPI, vol. 11(3), pages 1-14, January.
    5. Börger, Matthias & Schupp, Johannes, 2018. "Modeling trend processes in parametric mortality models," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 369-380.
    6. F. Peters & J. P. Mackenbach & W. J. Nusselder, 2016. "Does the Impact of the Tobacco Epidemic Explain Structural Changes in the Decline of Mortality?," European Journal of Population, Springer;European Association for Population Studies, vol. 32(5), pages 687-702, December.
    7. Fanny Janssen & Leo Wissen & Anton Kunst, 2013. "Including the Smoking Epidemic in Internationally Coherent Mortality Projections," Demography, Springer;Population Association of America (PAA), vol. 50(4), pages 1341-1362, August.
    8. Ekheden, Erland & Hössjer, Ola, 2015. "Multivariate time series modeling, estimation and prediction of mortalities," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 156-171.
    9. O'Hare, Colin & Li, Youwei, 2016. "Modelling mortality: Are we heading in the right direction?," MPRA Paper 71392, University Library of Munich, Germany.
    10. Li, Johnny Siu-Hang & Liu, Yanxin, 2021. "Recent declines in life expectancy: Implication on longevity risk hedging," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 376-394.
    11. Sixian Tang & Jackie Li & Leonie Tickle, 2022. "A New Fourier Approach under the Lee-Carter Model for Incorporating Time-Varying Age Patterns of Structural Changes," Risks, MDPI, vol. 10(8), pages 1-24, July.
    12. Tim J. Boonen & Hong Li, 2017. "Modeling and Forecasting Mortality With Economic Growth: A Multipopulation Approach," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1921-1946, October.
    13. Beutner, Eric & Reese, Simon & Urbain, Jean-Pierre, 2017. "Identifiability issues of age–period and age–period–cohort models of the Lee–Carter type," Insurance: Mathematics and Economics, Elsevier, vol. 75(C), pages 117-125.
    14. Börger, Matthias & Russ, Jochen & Schupp, Johannes, 2021. "It takes two: Why mortality trend modeling is more than modeling one mortality trend," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 222-232.
    15. Cadena, Meitner & Denuit, Michel, 2016. "Semi-parametric accelerated hazard relational models with applications to mortality projections," Insurance: Mathematics and Economics, Elsevier, vol. 68(C), pages 1-16.
    16. S⊘ren Kjærgaard & Yunus Emre Ergemen & Marie‐Pier Bergeron‐Boucher & Jim Oeppen & Malene Kallestrup‐Lamb, 2020. "Longevity forecasting by socio‐economic groups using compositional data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1167-1187, June.
    17. Hong Li & Johnny Siu-Hang Li, 2017. "Optimizing the Lee-Carter Approach in the Presence of Structural Changes in Time and Age Patterns of Mortality Improvements," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 1073-1095, June.
    18. Li, Johnny Siu-Hang & Liu, Yanxin, 2020. "The heat wave model for constructing two-dimensional mortality improvement scales with measures of uncertainty," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 1-26.
    19. Flici, Farrid, 2016. "Projection des taux de mortalité par âges pour la population algérienne [Forecasting The Age Specific Mortality Rates For The Algerian Population]," MPRA Paper 98784, University Library of Munich, Germany, revised Dec 2016.
    20. Christina Bohk-Ewald & Marcus Ebeling & Roland Rau, 2017. "Lifespan Disparity as an Additional Indicator for Evaluating Mortality Forecasts," Demography, Springer;Population Association of America (PAA), vol. 54(4), pages 1559-1577, August.
    21. Péter Vékás, 2020. "Rotation of the age pattern of mortality improvements in the European Union," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 1031-1048, September.
    22. Gisou Díaz-Rojo & Ana Debón & Jaime Mosquera, 2020. "Multivariate Control Chart and Lee–Carter Models to Study Mortality Changes," Mathematics, MDPI, vol. 8(11), pages 1-17, November.
    23. O'Hare, Colin & Li, Youwei, 2014. "Identifying structural breaks in stochastic mortality models," MPRA Paper 62994, University Library of Munich, Germany.

  19. Luis C. Nunes & Paulo M. M. Rodrigues, 2011. "On LM‐type tests for seasonal unit roots in the presence of a break in trend," Journal of Time Series Analysis, Wiley Blackwell, vol. 32(2), pages 108-134, March.
    See citations under working paper version above.
  20. Madureira, Lívia & Nunes, Luis C. & Borges, José G. & Falcão, André O., 2011. "Assessing forest management strategies using a contingent valuation approach and advanced visualisation techniques: A Portuguese case study," Journal of Forest Economics, Elsevier, vol. 17(4), pages 399-414.

    Cited by:

    1. Ruggiero Sardaro & Vincenzo Fucilli & Claudio Acciani, 2015. "Measuring the Value of Rural Landscape in Support of Preservation Policies," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(2), pages 125-138.
    2. Sangare Moussa, 2017. "How to Restore Forest Areas in a Smallholder Agriculture-Dominated Country?," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 7(1), pages 40-53, March.
    3. Ildephonse, Musafili, 2015. "An Economic Analysis Of Farmers’ Preferences For Participatory Management Of Volcanoes National Park In Rwanda," Research Theses 265680, Collaborative Masters Program in Agricultural and Applied Economics.
    4. Paula Simões & Luís Cruz & Eduardo Barata, 2012. "Non-market Recreational Value of a National Forest: Survey Design and Results," GEMF Working Papers 2012-09, GEMF, Faculty of Economics, University of Coimbra.
    5. Hoogstra-Klein, Marjanke A. & Hengeveld, Geerten M. & de Jong, Rutger, 2017. "Analysing scenario approaches for forest management — One decade of experiences in Europe," Forest Policy and Economics, Elsevier, vol. 85(P2), pages 222-234.
    6. Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Using virtual environments to improve the realism of choice experiments: A case study about coastal erosion management," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 193-208.
    7. Ildephonse, Musafili & Oluoch-Kosura, Willis & Otieno, Jakinda, 2016. "Assessing the value farmers attach to Volcanoes National Park management atrtributes in Rwanda: a choice experiment approach," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246273, African Association of Agricultural Economists (AAAE).
    8. Krawczyk, Michał, 2012. "Testing for hypothetical bias in willingness to support a reforestation program," Journal of Forest Economics, Elsevier, vol. 18(4), pages 282-289.

  21. Barros, Pedro Pita & Nunes, Luis C., 2010. "The impact of pharmaceutical policy measures: An endogenous structural-break approach," Social Science & Medicine, Elsevier, vol. 71(3), pages 440-450, August.

    Cited by:

    1. Mats A. Bergman & David Granlund & Niklas Rudholm, 2016. "Reforming the Swedish pharmaceuticals market: consequences for costs per defined daily dose," International Journal of Health Economics and Management, Springer, vol. 16(3), pages 201-214, September.
    2. Michael Berger & Markus Pock & Miriam Reiss & Gerald Röhrling & Thomas Czypionka, 2023. "Exploring the effectiveness of demand-side retail pharmaceutical expenditure reforms," International Journal of Health Economics and Management, Springer, vol. 23(1), pages 149-172, March.
    3. Dominik J. Wettstein & Stefan Boes, 2019. "Effectiveness of National Pricing Policies for Patent-Protected Pharmaceuticals in the OECD: A Systematic Literature Review," Applied Health Economics and Health Policy, Springer, vol. 17(2), pages 143-162, April.

  22. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    See citations under working paper version above.
  23. Rosado, Marcia A. & Cunha-E-Sã , Maria A. & Ducla-Soares, Maria M. & Nunes, Luis C., 2006. "Combining averting behavior and contingent valuation data: an application to drinking water treatment in Brazil," Environment and Development Economics, Cambridge University Press, vol. 11(6), pages 729-746, December.

    Cited by:

    1. Bruno Lanz & Allan Provins, 2016. "Using averting expenditures to estimate the demand for public goods: Combining objective and perceived quality," IRENE Working Papers 16-06, IRENE Institute of Economic Research.
    2. Louis Hotte, 2010. "Democracy, inequality and the environment when citizens can mitigate privately or act collectively," Working Papers 1007E, University of Ottawa, Department of Economics.
    3. Zhang, Fan & Fogarty, James, 2015. "Nonmarket Valuation of Water Sensitive Cities: Current Knowledge and Issues," Working Papers 207694, University of Western Australia, School of Agricultural and Resource Economics.
    4. Bruno Lanz & Allan Provins, 2014. "The demand for tap water quality: Survey evidence on water hardness and aesthetic quality," CIES Research Paper series 23-2014, Centre for International Environmental Studies, The Graduate Institute.
    5. Perrings, Charles, 2014. "Environment and development economics 20 years on," Environment and Development Economics, Cambridge University Press, vol. 19(3), pages 333-366, June.
    6. Patrick Lloyd-Smith & Craig Schram & Wiktor Adamowicz & Diane Dupont, 2018. "Endogeneity of Risk Perceptions in Averting Behavior Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 217-246, February.
    7. Louis Hotte & Stanley L. Winer, 2008. "The Demands for Environmental Regulation and for Trade in the Presence of Private Mitigation," CESifo Working Paper Series 2509, CESifo.
    8. William F. Vásquez & Pallab Mozumder & Dina Franceschi, 2015. "Water Quality, Household Perceptions and Averting Behavior: Evidence from Nicaragua," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 1(04), pages 1-21, December.
    9. Bernard, Sophie & Hotte, Louis & Winer, Stanley L., 2014. "Democracy, inequality and the environment when citizens can mitigate health consequences of pollution privately or act collectively," European Journal of Political Economy, Elsevier, vol. 34(C), pages 142-156.
    10. Hotte, Louis & Winer, Stanley L., 2012. "Environmental regulation and trade openness in the presence of private mitigation," Journal of Development Economics, Elsevier, vol. 97(1), pages 46-57.
    11. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2005. "Combining Revealed and Stated Preference Data to Estimate the Nonmarket Value of Ecological Services: An Assessment of the State of the Science," Working Papers 05-19, Department of Economics, Appalachian State University, revised 2007.
    12. Bilgic, Abdulbaki & Eren, Gunes & Florkowski, Wojciech J., 2008. "Willingness to Pay for Potable Water in the Southeastern Turkey: An Application of both Stated and Revealed Preferences Valuation Method," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6755, Southern Agricultural Economics Association.
    13. Shan Liu & Mingxia Yang & Yuling Mou & Yanrong Meng & Xiaolu Zhou & Changhui Peng, 2020. "Effect of Urbanization on Ecosystem Service Values in the Beijing-Tianjin-Hebei Urban Agglomeration of China from 2000 to 2014," Sustainability, MDPI, vol. 12(24), pages 1-15, December.
    14. Orgill-Meyer, Jennifer & Jeuland, Marc & Albert, Jeff & Cutler, Nathan, 2018. "Comparing Contingent Valuation and Averting Expenditure Estimates of the Costs of Irregular Water Supply," Ecological Economics, Elsevier, vol. 146(C), pages 250-264.

  24. Rua, Antonio & Nunes, Luis C., 2005. "Coincident and leading indicators for the euro area: A frequency band approach," International Journal of Forecasting, Elsevier, vol. 21(3), pages 503-523.
    See citations under working paper version above.
  25. Luis C. Nunes, 2005. "Nowcasting quarterly GDP growth in a monthly coincident indicator model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(8), pages 575-592.

    Cited by:

    1. Luci Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon M. Potter, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Staff Reports 680, Federal Reserve Bank of New York.
    2. Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
    3. Helena Rodríguez, 2014. "Un indicador de la evolución del PIB uruguayo en tiempo real," Documentos de trabajo 2014009, Banco Central del Uruguay.
    4. John W. Galbraith & Greg Tkacz, 2013. "Nowcasting GDP: Electronic Payments, Data Vintages and the Timing of Data Releases," CIRANO Working Papers 2013s-25, CIRANO.
    5. David Havrlant & Peter Tóth & Julia Wörz, 2016. "On the optimal number of indicators – nowcasting GDP growth in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 54-72.
    6. Peter Fuleky & Carl Bonham, 2010. "Forecasting Based on Common Trends in Mixed Frequency Samples," Working Papers 2010-17R1, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jul 2013.
    7. John Galbraith & Greg Tkacz, 2007. "Electronic Transactions as High-Frequency Indicators of Economic Activity," Staff Working Papers 07-58, Bank of Canada.
    8. Peter Fuleky & Carl S. Bonham, 2013. "Forecasting with Mixed Frequency Samples: The Case of Common Trends," Working Papers 201305, University of Hawaii at Manoa, Department of Economics.
    9. Elena Andreou & Patrick Gagliardini & Eric Ghysels & Mirco Rubin, 2016. "Is Industrial Production Still the Dominant Factor for the US Economy?," Swiss Finance Institute Research Paper Series 16-11, Swiss Finance Institute.
    10. Evren Erdogan Cosar & Sevim Kosem & Cagri Sarikaya, 2013. "Do We Really Need Filters In Estimating Output Gap? : Evidence From Turkey," Working Papers 1333, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    11. Klaus Wohlrabe, 2009. "Macroeconomic forecasting with mixed frequencies," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(21), pages 22-33, November.
    12. Namwon Hyung & Clive W.J. Granger, 2008. "Linking series generated at different frequencies This work is part of a PhD dissertation presented at the University of California, San Diego (1999)," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 95-108.
    13. José Casals & Miguel Jerez & Sonia Sotoca, 2009. "Modelling and forecasting time series sampled at different frequencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 316-342.
    14. Ghysels, Eric & Ball, Ryan, 2017. "Automated Earnings Forecasts:- Beat Analysts or Combine and Conquer?," CEPR Discussion Papers 12179, C.E.P.R. Discussion Papers.
    15. Abdić Ademir & Resić Emina & Abdić Adem & Rovčanin Adnan, 2020. "Nowcasting GDP of Bosnia and Herzegovina: A Comparison of Forecast Accuracy Models," South East European Journal of Economics and Business, Sciendo, vol. 15(2), pages 1-14, December.
    16. Ghysels, Eric, 2016. "Macroeconomics and the reality of mixed frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 294-314.
    17. Anna Norin, 2011. "Nowcasting of the Gross Regional Product," ERSA conference papers ersa10p768, European Regional Science Association.
    18. Galbraith, John W. & Tkacz, Greg, 2018. "Nowcasting with payments system data," International Journal of Forecasting, Elsevier, vol. 34(2), pages 366-376.
    19. Kosei Fukuda, 2009. "Related-variables selection in temporal disaggregation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 343-357.
    20. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    21. Rocio Alvarez & Maximo Camacho & Gabriel Perez-Quiros, 2012. "Finite sample performance of small versus large scale dynamic factor models," Working Papers 1204, Banco de España.
    22. Schumacher, Christian & Breitung, Jörg, 2008. "Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data," International Journal of Forecasting, Elsevier, vol. 24(3), pages 386-398.
    23. Ryan T. Ball & Eric Ghysels, 2018. "Automated Earnings Forecasts: Beat Analysts or Combine and Conquer?," Management Science, INFORMS, vol. 64(10), pages 4936-4952, October.
    24. Alvarez, Rocio & Camacho, Maximo & Perez-Quiros, Gabriel, 2016. "Aggregate versus disaggregate information in dynamic factor models," International Journal of Forecasting, Elsevier, vol. 32(3), pages 680-694.
    25. Galbraith, John W. & Tkacz, Greg, 2015. "Nowcasting GDP with electronic payments data," Statistics Paper Series 10, European Central Bank.
    26. Yun-Yeong Kim, 2016. "Dynamic Analyses Using VAR Model with Mixed Frequency Data through Observable Representation," Korean Economic Review, Korean Economic Association, vol. 32, pages 41-75.

  26. Maria A. Cunha-e-Sá & Maria M. Ducla-Soares & Luís C. Nunes & Philippe Polomé, 2004. "Consistency in Mixed Demand Systems: Contingent Valuation and Travel Cost Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 444-454.

    Cited by:

    1. Beaumais, Olivier & Appéré, Gildas, 2010. "Recreational shellfish harvesting and health risks: A pseudo-panel approach combining revealed and stated preference data with correction for on-site sampling," Ecological Economics, Elsevier, vol. 69(12), pages 2315-2322, October.
    2. Hoyos, David & Riera, Pere, 2013. "Convergent validity between revealed and stated recreation demand data: Some empirical evidence from the Basque Country, Spain," Journal of Forest Economics, Elsevier, vol. 19(3), pages 234-248.
    3. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2005. "Combining Revealed and Stated Preference Data to Estimate the Nonmarket Value of Ecological Services: An Assessment of the State of the Science," Working Papers 05-19, Department of Economics, Appalachian State University, revised 2007.

  27. Vasco De & A. Gabriel & Artur C. B. Da Silva Lopes & Luis Nunes, 2003. "Instability in cointegration regressions: a brief review with an application to money demand in Portugal," Applied Economics, Taylor & Francis Journals, vol. 35(8), pages 893-900.

    Cited by:

    1. Josep Lluís Carrion‐i‐Silvestre & Andreu Sansó, 2006. "Testing the Null of Cointegration with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(5), pages 623-646, October.
    2. Ming-Chih Lee & Chien-Liang Chiu & Wan-Hsiu Cheng, 2007. "Enhancing Forecast Accuracy By Using Long Estimation Periods," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 1(2), pages 1-9.
    3. Amir Kia, 2006. "Economic policies and demand for money: evidence from Canada," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1389-1407.
    4. R. Scott Hacker & Abdulnasser Hatemi-J, 2005. "The effect of regime shifts on the long-run relationships for Swedish money demand," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1731-1736.
    5. Carlos Andrés Perilla Castro, 2001. "Capitales mínimos de los establecimientos de crédito," Monetaria, CEMLA, vol. 0(3), pages 271-353, julio-sep.
    6. Voronkova, Svitlana, 2004. "Equity market integration in Central European emerging markets: A cointegration analysis with shifting regimes," International Review of Financial Analysis, Elsevier, vol. 13(5), pages 633-647.
    7. Luis A. Rivas & José de Jesús Rojas, 2001. "Precios relativos, inflación subyacente y metas de inflación: un análisis para Nicaragua," Monetaria, CEMLA, vol. 0(3), pages 355-380, julio-sep.
    8. Daniel G. Garcés Díaz, 2003. "Agregados monetarios, inflación y actividad económica en México," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 18(1), pages 37-78.
    9. Daniel G. Garcés Díaz, 2001. "Determinación del nivel de precios y la dinámica inflacionaria en México," Monetaria, CEMLA, vol. 0(3), pages 241-269, julio-sep.
    10. Nikolas Stege & Christoph Wegener & Tobias Basse & Frederik Kunze, 2021. "Mapping swap rate projections on bond yields considering cointegration: an example for the use of neural networks in stress testing exercises," Annals of Operations Research, Springer, vol. 297(1), pages 309-321, February.

  28. Nunes, Luis C. & Cunha-e-Sa, Maria A. & Ducla-Soares, Maria M. & Rosado, Marcia A. & Day, Brett H., 2001. "Identifying non-consistent choice behavior in recreation demand models," Economics Letters, Elsevier, vol. 72(3), pages 403-410, September.

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    1. Bruno Larue & Gale E. West & Carole Gendron & Rémy Lambert, 2004. "Consumer response to functional foods produced by conventional, organic, or genetic manipulation," Agribusiness, John Wiley & Sons, Ltd., vol. 20(2), pages 155-166.

  29. Nunes, Luis C. & Cunha-e-Sa, Maria & Ducla-Soares, Maria, 1998. "Testing for rationality: the case of discrete choice data," Economics Letters, Elsevier, vol. 60(3), pages 255-261, September.

    Cited by:

    1. Nunes, Luis C. & Cunha-e-Sa, Maria A. & Ducla-Soares, Maria M. & Rosado, Marcia A. & Day, Brett H., 2001. "Identifying non-consistent choice behavior in recreation demand models," Economics Letters, Elsevier, vol. 72(3), pages 403-410, September.

  30. Nunes, Luis C & Newbold, Paul & Kuan, Chung-Ming, 1997. "Testing for Unit Roots with Breaks: Evidence on the Great Crash and the Unit Root Hypothesis Reconsidered," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 435-448, November.

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    1. Thomas Barnay & Olivier Damette, 2012. "What drives Health Care Expenditure in France since 1950?," Working Papers hal-00717435, HAL.
    2. Prakash Singh & Manoj K. Pandey, 2009. "Structural Break, Stability and Demand for Money in India," ASARC Working Papers 2009-07, The Australian National University, Australia South Asia Research Centre.
    3. Pan, Guochen & Chang, Hsu-Ling & Su, Chi-Wei, 2012. "Regional differences in development of life insurance markets in China," Emerging Markets Review, Elsevier, vol. 13(4), pages 548-558.
    4. Jewell, Todd & Lee, Junsoo & Tieslau, Margie & Strazicich, Mark C., 2003. "Stationarity of health expenditures and GDP: evidence from panel unit root tests with heterogeneous structural breaks," Journal of Health Economics, Elsevier, vol. 22(2), pages 313-323, March.
    5. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    6. Junsoo Lee & John A. List & Mark Strazicich, 2005. "Nonrenewable Resource Prices: Deterministic or Stochastic Trends?," NBER Working Papers 11487, National Bureau of Economic Research, Inc.
    7. Mohsen Bahmani-Oskooee & Tsangyao Chang & Kuei-Chiu Lee, 2014. "Purchasing Power Parity in the BRICS and the MIST Countries: Sequential Panel Selection Method," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 1-12, Feburary.
    8. Rishika Nayyar & Jaydeep Mukherjee, 2018. "Outward FDI from India: A macro level examination in the presence of structural breaks," Working Papers 1833, Indian Institute of Foreign Trade.
    9. Chi-Wei Su & Yu-Shao Liu & Meng-Nan Zhu & Kuei-Chiu Lee, 2012. "Purchasing power parity in major OPEC countries: flexible Fourier stationary test," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 19-24, January.
    10. Payne, James & Lee, Junsoo & Hofler, Richard, 2005. "Purchasing power parity: Evidence from a transition economy," Journal of Policy Modeling, Elsevier, vol. 27(6), pages 665-672, September.
    11. Vasco De & A. Gabriel & Artur C. B. Da Silva Lopes & Luis Nunes, 2003. "Instability in cointegration regressions: a brief review with an application to money demand in Portugal," Applied Economics, Taylor & Francis Journals, vol. 35(8), pages 893-900.
    12. Chakraborty, Debashis & Mukherjee, Jaydeep & Lee, Jaewook, 2016. "Do FDI Inflows influence Merchandise Exports? Causality Analysis on India over 1991-2016," MPRA Paper 74851, University Library of Munich, Germany.
    13. Ranajoy Bhattacharyya & Jaydeep Mukherjee, 2014. "Do Exchange Rates Affect Exports in India?," South Asian Journal of Macroeconomics and Public Finance, , vol. 3(2), pages 175-193, December.
    14. Paresh Kumar Narayan, 2005. "New evidence on purchasing power parity from 17 OECD countries," Applied Economics, Taylor & Francis Journals, vol. 37(9), pages 1063-1071.
    15. Amélie Charles & Olivier Darné, 2012. "Trends and random walks in macroeconomic time series: A reappraisal," Post-Print hal-00956937, HAL.
    16. Kim, Dukpa & Perron, Pierre, 2009. "Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses," Journal of Econometrics, Elsevier, vol. 148(1), pages 1-13, January.
    17. Fantazzini, Dean & Toktamysova, Zhamal, 2015. "Forecasting German Car Sales Using Google Data and Multivariate Models," MPRA Paper 67110, University Library of Munich, Germany.
    18. Popp, Stephan, 2007. "Identification of the true break date in innovational outlier unit root tests," IBES Diskussionsbeiträge 152, University of Duisburg-Essen, Institute of Business and Economic Studie (IBES).
    19. Chor Foon Tang and Eu Chye Tan, 2012. "Electricity Consumption and Economic Growth in Portugal: Evidence from a Multivariate Framework Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    20. Ghoshray, Atanu & Kejriwal, Mohitosh & Wohar, Mark E., 2011. "Breaking Trends and the Prebisch-Singer Hypothesis: A Further Investigation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 120387, European Association of Agricultural Economists.
    21. Nithin K, 2015. "The Case of Revenue versus Expenditure Optimization in India," Working Papers 1528, Indian Institute of Foreign Trade.
    22. Thanh Dat Nguyen & Sandy Suardi & Chew Lian Chua, 2017. "The Behavior Of U.S. Public Debt And Deficits During The Global Financial Crisis," Contemporary Economic Policy, Western Economic Association International, vol. 35(1), pages 201-215, January.
    23. Chakraborty Debashis & Mukherjee Jaydeep & Lee Jaewook, 2017. "FDI Inflows Influence Merchandise Exports? Causality Analysis for India over 1991-2016 : Causality Analysis for India Over 1991–2016," Global Economy Journal, De Gruyter, vol. 17(3), pages 1-10, September.
    24. Lean, Hooi Hooi & Smyth, Russell, 2013. "Are fluctuations in US production of renewable energy permanent or transitory?," Applied Energy, Elsevier, vol. 101(C), pages 483-488.
    25. Brian W. Sloboda, 2003. "Assessing the Effects of Terrorism on Tourism by Use of Time Series Methods," Tourism Economics, , vol. 9(2), pages 179-190, June.
    26. Strazicich, Mark C. & Lee, Junsoo & Day, Edward, 2004. "Are incomes converging among OECD countries? Time series evidence with two structural breaks," Journal of Macroeconomics, Elsevier, vol. 26(1), pages 131-145, March.
    27. Lin, Chien-Hsiu, 2012. "The comovement between exchange rates and stock prices in the Asian emerging markets," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 161-172.
    28. Acaravici, Ali, 2010. "Structural Breaks, Electricity Consumption and Economic Growth: Evidence from Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 140-154, July.
    29. Felmingham, Bruce & Mansfield, Peter, 2003. "A note on the stability of real interest rates in Australia," International Review of Economics & Finance, Elsevier, vol. 12(4), pages 517-524.
    30. Cook, Steven, 2005. "The stationarity of consumption-income ratios: Evidence from minimum LM unit root testing," Economics Letters, Elsevier, vol. 89(1), pages 55-60, October.
    31. Craig A. Depken & Peter A. Groothuis & Mark C. Strazicich, 2020. "Evolution Of Community Deterrence: Evidence From The National Hockey League," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 289-303, April.
    32. Ghoshray, Atanu, 2011. "A reexamination of trends in primary commodity prices," Journal of Development Economics, Elsevier, vol. 95(2), pages 242-251, July.
    33. John Dawson & Steven Millsaps & Mark Strazicich, 2004. "Trend Breaks and Seasonality in the Yugoslav Black Market for Dollars, 1974-1987," Working Papers 04-04, Department of Economics, Appalachian State University, revised 2005.
    34. Surajit Deb, 2003. "Terms of Trade and Supply Response of Indian Agriculture: Analysis in Cointegration Framework," Working papers 115, Centre for Development Economics, Delhi School of Economics.
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    38. Franco Bevilacqua & Adriaan van Zon, 2004. "Random walks and non-linear paths in macroeconomic time series: some evidence and implications," Chapters, in: John Foster & Werner Hölzl (ed.), Applied Evolutionary Economics and Complex Systems, chapter 3, Edward Elgar Publishing.
    39. Hsu-Ling Chang & De-Chih Liu & Chi-Wei Su, 2012. "Purchasing power parity with flexible Fourier stationary test for Central and Eastern European countries," Applied Economics, Taylor & Francis Journals, vol. 44(32), pages 4249-4256, November.
    40. El-Shazly, Alaa, 2016. "Structural breaks and monetary dynamics: A time series analysis," Economic Modelling, Elsevier, vol. 53(C), pages 133-143.
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    42. Lean, Hooi Hooi & Smyth, Russell, 2014. "Will initiatives to promote hydroelectricity consumption be effective? Evidence from univariate and panel LM unit root tests with structural breaks," Energy Policy, Elsevier, vol. 68(C), pages 102-115.
    43. Amit Sen, 2004. "Are US macroeconomic series difference stationary or trend-break stationary?," Applied Economics, Taylor & Francis Journals, vol. 36(18), pages 2025-2029.
    44. Thomas Barnay & Olivier Damette, 2012. "What drives Health Care Expenditure in France since 1950? A time-series study with structural breaks and nonlinearity approaches," Working Papers halshs-00856117, HAL.
    45. Chatterji, Monojit & Choudhury, Homagni, 2010. "Growth Rate Estimation in the presence of Unit Roots," SIRE Discussion Papers 2010-92, Scottish Institute for Research in Economics (SIRE).
    46. John W. Dawson & John Seater, 2002. "Regulation and the Macroeconomy," Working Papers 02-07, Department of Economics, Appalachian State University.
    47. Chi-Wei Su & Hsu-Ling Chang, 2013. "Is income converging in China?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(2), pages 341-356, April.
    48. Jennifer C. H. MIN & Hsien-Hung KUNG & Tsangyao CHANG, 2019. "Testing the Structural Break of Taiwan Inbound Tourism Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 117-130, June.
    49. Astrid Ayala & Szabolcs Blazsek, 2012. "How has the financial crisis affected the fiscal convergence of Central and Eastern Europe to the Eurozone?," Applied Economics Letters, Taylor & Francis Journals, vol. 19(5), pages 471-476, March.
    50. Ozturk, Ilhan & Acaravci, Ali, 2011. "Electricity consumption and real GDP causality nexus: Evidence from ARDL bounds testing approach for 11 MENA countries," Applied Energy, Elsevier, vol. 88(8), pages 2885-2892, August.
    51. Vasco J. Gabriel & Luis F. Martins, 2000. "The Forecast Performance of Long Memory and Markov Switching Models," NIPE Working Papers 2/2000, NIPE - Universidade do Minho.
    52. Junsoo Lee & Mark C. Strazicich, 2013. "Minimum LM unit root test with one structural break," Economics Bulletin, AccessEcon, vol. 33(4), pages 2483-2492.
    53. Arghyrou, Michael G & Gregoriou, Andros & Kontonikas, Alexandros, 2007. "Do real interest rates converge? Evidence from the European Union," Cardiff Economics Working Papers E2007/26, Cardiff University, Cardiff Business School, Economics Section.
    54. Issa ALI & Reetu VERMA, 2012. "Economic Development and Structural Breaks: An Application of the Lee and Strazicich(2003) Lagrange Multiplier Test to the Libyan Economy, 1970-2007," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 12(1).
    55. Erwin Bulte & John A. List & Mark C. Strazicich, 2004. "Regulatory Federalism and the Distribution of Air Pollutant Emissions," Working Papers 04-16, Department of Economics, Appalachian State University.
    56. Nag, Biswajit & Mukherjee, Jaydeep, 2012. "The sustainability of trade deficits in the presence of endogenous structural breaks: Evidence from the Indian economy," Journal of Asian Economics, Elsevier, vol. 23(5), pages 519-526.
    57. Craig A. Depken II & Peter A. Groothuis & Mark C. Strazicich, 2016. "The Rise and Fall of the Enforcer in the National Hockey League," Working Papers 16-12, Department of Economics, Appalachian State University.
    58. Rodney Fort & Young Hoon Lee, 2006. "Stationarity and Major League Baseball Attendance Analysis," Journal of Sports Economics, , vol. 7(4), pages 408-415, November.
    59. Yousef Makhlouf, 2018. "Trends in income inequality," NBS Discussion Papers in Economics 2018/01, Economics, Nottingham Business School, Nottingham Trent University.
    60. Cunado, J. & Perez de Gracia, F., 2006. "Real convergence in Africa in the second-half of the 20th century," Journal of Economics and Business, Elsevier, vol. 58(2), pages 153-167.
    61. Joseph P. Byrne & Roger Perman, 2006. "Unit Roots and Structural Breaks: A Survey of the Literature," Working Papers 2006_10, Business School - Economics, University of Glasgow.
    62. Svetlana Maslyuk & Russell Smyth, 2007. "Unit Root Properties of Crude Oil Spot and Futures Prices," Monash Economics Working Papers 40-07, Monash University, Department of Economics.
    63. John W. Dawson & Mark C. Strazicich, 2006. "Time Series Tests of Income Convergence with Two Structural Breaks: An Update and Extension," Working Papers 06-01, Department of Economics, Appalachian State University.
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    65. Bilgili, Faik, 2011. "City price convergence in Turkey with structural breaks," MPRA Paper 54295, University Library of Munich, Germany.
    66. Li-gang Liu & Laurent Pauwels & Andrew Tsang, 2007. "How Large is the Wealth Effect on Hong Kong¡¦s Consumption? Evidence from a Habit Formation Model of Consumption," Working Papers 0720, Hong Kong Monetary Authority.
    67. Yousef Makhlouf, 2023. "Trends in Income Inequality: Evidence from Developing and Developed Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 213-243, January.
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    69. Stephen Clayton & Michael Nieswiadomy & Mark C. Strazicich, 2010. "Was There a Structural Break in Barry Bonds’ Bat?," Working Papers 10-13, Department of Economics, Appalachian State University.
    70. Homagni Choudhury & Zoltan Laszlo Kopacsi & Gunjan Saxena & Nishikant Mishra, 2021. "The Ethical Dimension in Political Market Orientation: A Framework for Evaluating the Impact of India’s Look East Policy on Regional Income Convergence," Journal of Business Ethics, Springer, vol. 168(2), pages 353-372, January.
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    94. Mishra, Ankita & Moosa, Imad A. & Tawadros, George B. & Mishra, Vinod, 2023. "The effect of political and bureaucratic regime changes on Australia's real interest rate," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 124-136.
    95. Ali Acaravci & Ilhan Ozturk, 2010. "Testing Purchasing Power Parity in Transition Countries: Evidence from Structural Breaks," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 12(27), pages 190-198, February.
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    97. Chun-Ping Chang & Chien-Chiang Lee, 2010. "A Re-examination of German Government Approval and Economic Performance: Is There a Stable Relationship between Them?," International Economic Journal, Taylor & Francis Journals, vol. 24(1), pages 25-43.
    98. Lee, Chien-Chiang & Chang, Chun-Ping, 2008. "Unemployment hysteresis in OECD countries: Centurial time series evidence with structural breaks," Economic Modelling, Elsevier, vol. 25(2), pages 312-325, March.
    99. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Do stock returns in India exhibit a mean reverting tendency? Evidence from multiple structural breaks test," MPRA Paper 46502, University Library of Munich, Germany.
    100. Costantini, Mauro & Lupi, Claudio, 2007. "An analysis of inflation and interest rates. New panel unit root results in the presence of structural breaks," Economics Letters, Elsevier, vol. 95(3), pages 408-414, June.
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    104. Narayan Paresh K & Prasad Biman Chand, 2005. "The Validity of Purchasing Power Parity Hypothesis for Eleven Middle Eastern Countries," Review of Middle East Economics and Finance, De Gruyter, vol. 3(2), pages 44-58, August.
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    106. De Vita, Glauco & Trachanas, Emmanouil, 2016. "‘Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India’ — A failed replication (negative Type 1 and Type 2)," Energy Economics, Elsevier, vol. 56(C), pages 150-160.
    107. Aviral Tiwari, 2014. "Unemployment hysteresis in Australia: evidence using nonlinear and stationarity tests with breaks," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 681-695, March.
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  31. Nunes, Luis C. & Newbold, Paul & Chung-Ming Kuan, 1996. "Spurious number of breaks," Economics Letters, Elsevier, vol. 50(2), pages 175-178, February.

    Cited by:

    1. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Todd E. Clark, 2003. "Disaggregate evidence on the persistence of consumer price inflation," Research Working Paper RWP 03-11, Federal Reserve Bank of Kansas City.
    3. Hyung, Namwon & Franses, Philip Hans & Penm, Jack, 2006. "Structural breaks and long memory in US inflation rates: Do they matter for forecasting?," Research in International Business and Finance, Elsevier, vol. 20(1), pages 95-110, March.
    4. Magnus Gustavsson & Pär Österholm, 2007. "Does Unemployment Hysteresis Equal Employment Hysteresis?," The Economic Record, The Economic Society of Australia, vol. 83(261), pages 159-173, June.
    5. 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.
    6. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Post-Print halshs-00272867, HAL.
    7. Altissimo, Filippo & Corradi, Valentina, 2003. "Strong rules for detecting the number of breaks in a time series," Journal of Econometrics, Elsevier, vol. 117(2), pages 207-244, December.
    8. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272867, HAL.
    9. Perron, Pierre, 1997. "L’estimation de modèles avec changements structurels multiples," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 457-505, mars-juin.
    10. Jamel JOUINI & Mohamed BOUTAHAR, 2007. "Spuriousness of information criteria when selecting the number of breaks in stationary AR(p) process," Economics Bulletin, AccessEcon, vol. 3(38), pages 1-11.
    11. Jouini, Jamel & Boutahar, Mohamed, 2005. "Evidence on structural changes in U.S. time series," Economic Modelling, Elsevier, vol. 22(3), pages 391-422, May.
    12. Jamel JOUINI & Mohamed BOUTAHAR, 2007. "wrong estimation of the true number of shifts in structural break models: Theoretical and numerical evidence," Economics Bulletin, AccessEcon, vol. 3(3), pages 1-10.
    13. Granger, Clive W. J. & Hyung, Namwon, 2004. "Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 399-421, June.
    14. Kim, In-Moo, 1997. "Detecting the number of structural breaks," Economics Letters, Elsevier, vol. 57(2), pages 145-148, December.

  32. Nunes, Luis C. & Kuan, Chung-Ming & Newbold, Paul, 1995. "Spurious Break," Econometric Theory, Cambridge University Press, vol. 11(4), pages 736-749, August.

    Cited by:

    1. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    2. Wang, Cindy Shin-Huei & Bauwens, Luc & Hsiao, Cheng, 2013. "Forecasting a long memory process subject to structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 171-184.
    3. Todd E. Clark, 2003. "Disaggregate evidence on the persistence of consumer price inflation," Research Working Paper RWP 03-11, Federal Reserve Bank of Kansas City.
    4. Laura Mayoral, 2005. "The persistence of inflation in OECD countries: A fractionally integrated approach," Economics Working Papers 958, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2005.
    5. Bond, Derek & Harrison, Michael J & O’Brien, Edward J., 2006. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Research Technical Papers 2/RT/06, Central Bank of Ireland.
    6. 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.
    7. Kim, Dukpa & Perron, Pierre, 2009. "Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses," Journal of Econometrics, Elsevier, vol. 148(1), pages 1-13, January.
    8. Giuseppe Cavaliere & David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2009. "Testing for unit roots in the presence of a possible break in trend and non-stationary volatility," Discussion Papers 09/05, University of Nottingham, Granger Centre for Time Series Econometrics.
    9. Jin, Hao & Tian, Zheng & Qin, Ruibing, 2009. "Bootstrap tests for structural change with infinite variance observations," Statistics & Probability Letters, Elsevier, vol. 79(19), pages 1985-1995, October.
    10. 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.
    11. Laura Mayoral, 2005. "Is the observed persistence spurious? A test for fractional integration versus short memory and structural breaks," Economics Working Papers 956, Department of Economics and Business, Universitat Pompeu Fabra.
    12. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    13. Marriott, John & Newbold, Paul, 2000. "The strength of evidence for unit autoregressive roots and structural breaks: A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 98(1), pages 1-25, September.
    14. Atiq-ur-Rehman, Atiq-ur-Rehman & Zaman, Asad, 2009. "Impact of Model Specification Decisions on Unit Root Tests," MPRA Paper 19963, University Library of Munich, Germany.
    15. Kim, Tae-Hwan & Leybourne, Stephen & Newbold, Paul, 2002. "Unit root tests with a break in innovation variance," Journal of Econometrics, Elsevier, vol. 109(2), pages 365-387, August.
    16. Altissimo, Filippo & Corradi, Valentina, 2003. "Strong rules for detecting the number of breaks in a time series," Journal of Econometrics, Elsevier, vol. 117(2), pages 207-244, December.
    17. Atiq-ur-Rehman, Atiq-ur-Rehman & Zaman, Asad, 2008. "Model specification, observational equivalence and performance of unit root tests," MPRA Paper 13489, University Library of Munich, Germany.
    18. Lovcha, Yuliya & Pérez Laborda, Àlex, 2016. "Structural shocks and dinamic elasticities in a long memory model of the US gasoline retail market," Working Papers 2072/261538, Universitat Rovira i Virgili, Department of Economics.
    19. David Harris & David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2007. "Testing for a unit root in the presence of a possible break in trend," Discussion Papers 07/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    20. F. Peters & J. P. Mackenbach & W. J. Nusselder, 2016. "Does the Impact of the Tobacco Epidemic Explain Structural Changes in the Decline of Mortality?," European Journal of Population, Springer;European Association for Population Studies, vol. 32(5), pages 687-702, December.
    21. Clive W.J. Granger & Namwon Hyung, 2013. "Occasional Structural Breaks and Long Memory," Annals of Economics and Finance, Society for AEF, vol. 14(2), pages 739-764, November.
    22. Peter C.B. Phillips, 2004. "Challenges of Trending Time Series Econometrics," Cowles Foundation Discussion Papers 1472, Cowles Foundation for Research in Economics, Yale University.
    23. Luis C. Nunes & Paulo M. M. Rodrigues, 2011. "On LM‐type tests for seasonal unit roots in the presence of a break in trend," Journal of Time Series Analysis, Wiley Blackwell, vol. 32(2), pages 108-134, March.
    24. Joseph P. Byrne & Roger Perman, 2006. "Unit Roots and Structural Breaks: A Survey of the Literature," Working Papers 2006_10, Business School - Economics, University of Glasgow.
    25. Krämer Walter, 2002. "Statistische Besonderheiten von Finanzzeitreihen / Statistical Properties of Financial Time Series," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 222(2), pages 210-229, April.
    26. Hsu, Chih-Chiang, 2001. "Change point estimation in regressions with I(d) variables," Economics Letters, Elsevier, vol. 70(2), pages 147-155, February.
    27. Hsu, Yu-Chin & Kuan, Chung-Ming, 2008. "Change-point estimation of nonstationary I(d) processes," Economics Letters, Elsevier, vol. 98(2), pages 115-121, February.
    28. Kurozumi, Eiji, 2002. "Testing for stationarity with a break," Journal of Econometrics, Elsevier, vol. 108(1), pages 63-99, May.
    29. Laura Mayoral, 2005. "Further evidence on the statistical properties of real GNP," Economics Working Papers 955, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2006.
    30. Granger, Clive W. J. & Hyung, Namwon, 2004. "Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 399-421, June.
    31. Kim, In-Moo, 1997. "Detecting the number of structural breaks," Economics Letters, Elsevier, vol. 57(2), pages 145-148, December.
    32. Chen, Gongmeng & Choi, Yoon K. & Zhou, Yong, 2005. "Nonparametric estimation of structural change points in volatility models for time series," Journal of Econometrics, Elsevier, vol. 126(1), pages 79-114, May.
    33. Kuan, Chung-Ming, 1998. "Tests for changes in models with a polynomial trend," Journal of Econometrics, Elsevier, vol. 84(1), pages 75-91, May.

Chapters

  1. Miguel Madeira & Luis Catela-Nunes & Ana Balc?o Reis & Maria do Carmo Seabra, 2018. "Does the Age of Entry in Primary School affect Student’s Achievement?," Investigaciones de Economía de la Educación volume 13, in: Josep-Oriol Escardíbul & Álvaro Choi (ed.), Investigaciones de Economía de la Educación 13, edition 1, volume 13, chapter 7, pages 133-150, Asociación de Economía de la Educación.

    Cited by:

    1. Joao Firmino & Luis C. Nunes & Silvia de Almeida & Susana Batista, 2020. "Student segregation across and within schools. The case of the Portuguese public school system," Nova SBE Working Paper Series wp633, Universidade Nova de Lisboa, Nova School of Business and Economics.

  2. Jorge Braga Macedo & Luís Catela Nunes & Francisco Covas, 2004. "Moving the Escudo into the Euro," Palgrave Macmillan Books, in: Michael A Landesmann & Dariusz K Rosati (ed.), Shaping the New Europe, chapter 9, pages 246-264, Palgrave Macmillan.
    See citations under working paper version above.
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