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Farshid Vahid

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Farshid Vahid & Pushkar Maitra, 2006. "The effect of household characteristics on living standards in South Africa 1993-1998: a quantile regression analysis with sample attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 999-1018.

    Mentioned in:

    1. The effect of household characteristics on living standards in South Africa 1993–1998: a quantile regression analysis with sample attrition (Journal of Applied Econometrics 2006) in ReplicationWiki ()

Working papers

  1. Heather M. Anderson & Jiti Gao & Guido Turnip & Farshid Vahid & Wei Wei, 2022. "Estimating the Effect of an EU-ETS Type Scheme in Australia Using a Synthetic Treatment Approach," Monash Econometrics and Business Statistics Working Papers 12/22, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Pan, Xian & Yu, Lihong, 2024. "Do China's pilot emissions trading schemes lead to domestic carbon leakage? Perspective from the firm relocation," Energy Economics, Elsevier, vol. 132(C).
    2. Richard S.J. Tol, 2023. "The fiscal implications of stringent climate policy," Working Paper Series 0523, Department of Economics, University of Sussex Business School.

  2. Heather Anderson & Giovanni Caggiano & Farshid Vahid & Benjamin Wong, 2020. "Sectoral employment dynamics in Australia," CAMA Working Papers 2020-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Ssebulime, Kurayish & Okumu, Ibrahim Mike & Bbaale, Edward, 2023. "The Changing Employment Landscape in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 11(4), September.

  3. Li Chen & Jiti Gao & Farshid Vahid, 2019. "Global Temperatures and Greenhouse Gases: A Common Features Approach," Monash Econometrics and Business Statistics Working Papers 23/19, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. C. Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2024. "Temperature in the Iberian Peninsula: Trend, seasonality, and heterogeneity," Papers 2406.14145, arXiv.org.
    2. Chen, Liang & Ramos Ramirez, Andrey David, 2023. "Heterogeneous Predictive Association of CO2 with Global Warming," UC3M Working papers. Economics 36451, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Maria Dolores Gadea & Jesus Gonzalo & Andrey Ramos, 2023. "Trends in Temperature Data: Micro-foundations of Their Nature," Papers 2312.06379, arXiv.org.
    4. Yu, Deshui & Huang, Difang & Chen, Li & Li, Luyang, 2023. "Forecasting dividend growth: The role of adjusted earnings yield," Economic Modelling, Elsevier, vol. 120(C).
    5. Anderson, Heather M. & Gao, Jiti & Turnip, Guido & Vahid, Farshid & Wei, Wei, 2023. "Estimating the effect of an EU-ETS type scheme in Australia using a synthetic treatment approach," Energy Economics, Elsevier, vol. 125(C).
    6. Yu, Deshui & Huang, Difang & Chen, Li, 2023. "Stock return predictability and cyclical movements in valuation ratios," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 36-53.

  4. Timur Behlul & Anastasios Panagiotelis & George Athanasopoulos & Rob J Hyndman & Farshid Vahid, 2017. "The Australian Macro Database: An online resource for macroeconomic research in Australia," CAMA Working Papers 2017-15, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Bin Jiang & George Athanasopoulos & Rob J Hyndman & Anastasios Panagiotelis & Farshid Vahid, 2017. "Macroeconomic forecasting for Australia using a large number of predictors," Monash Econometrics and Business Statistics Working Papers 2/17, Monash University, Department of Econometrics and Business Statistics.

  5. Bin Jiang & George Athanasopoulos & Rob J Hyndman & Anastasios Panagiotelis & Farshid Vahid, 2017. "Macroeconomic forecasting for Australia using a large number of predictors," Monash Econometrics and Business Statistics Working Papers 2/17, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Özen, Kadir & Yıldırım, Dilem, 2021. "Application of bagging in day-ahead electricity price forecasting and factor augmentation," Energy Economics, Elsevier, vol. 103(C).
    2. Bantis, Evripidis & Clements, Michael P. & Urquhart, Andrew, 2023. "Forecasting GDP growth rates in the United States and Brazil using Google Trends," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1909-1924.
    3. Fereydooni, Ali & Barak, Sasan & Asaad Sajadi, Seyed Mehrzad, 2024. "A novel online portfolio selection approach based on pattern matching and ESG factors," Omega, Elsevier, vol. 123(C).
    4. Hartigan, Luke & Morley, James, 2019. "A Factor Model Analysis of the Australian Economy and the Effects of Inflation Targeting," Working Papers 2019-10, University of Sydney, School of Economics, revised Nov 2019.
    5. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    6. Zhang, Bo & Nguyen, Bao H., 2020. "Real-time forecasting of the Australian macroeconomy using Bayesian VARs," Working Papers 2020-12, University of Tasmania, Tasmanian School of Business and Economics.
    7. Chenghan Hou & Bao Nguyen & Bo Zhang, 2023. "Real‐time forecasting of the Australian macroeconomy using flexible Bayesian VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 418-451, March.
    8. De Gooijer, Jan G. & Zerom, Dawit, 2019. "Semiparametric quantile averaging in the presence of high-dimensional predictors," International Journal of Forecasting, Elsevier, vol. 35(3), pages 891-909.
    9. Jeronymo Marcondes Pinto & Jennifer L. Castle, 2022. "Machine Learning Dynamic Switching Approach to Forecasting in the Presence of Structural Breaks," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 129-157, July.
    10. George Athanasopoulos & Puwasala Gamakumara & Anastasios Panagiotelis & Rob J Hyndman & Mohamed Affan, 2019. "Hierarchical Forecasting," Monash Econometrics and Business Statistics Working Papers 2/19, Monash University, Department of Econometrics and Business Statistics.
    11. George Milunovich, 2020. "Forecasting Australia's real house price index: A comparison of time series and machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1098-1118, November.
    12. Christiana Anaxagorou & Nicoletta Pashourtidou, 2022. "Forecasting economic activity using preselected predictors: the case of Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 16(1), pages 11-36, June.
    13. Luke Hartigan & Tom Rosewall, 2024. "Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator," RBA Research Discussion Papers rdp2024-04, Reserve Bank of Australia.
    14. Jan G. De Gooijer, 2023. "Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 407-424, June.
    15. De Gooijer Jan G. & Zerom Dawit, 2020. "Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts," Journal of Time Series Econometrics, De Gruyter, vol. 12(1), pages 1-15, January.

  6. George Athanasopoulos & D.S. Poskitt & Farshid Vahid & Wenying Yao, 2014. "Determination of long-run and short-run dynamics in EC-VARMA models via canonical correlations," Monash Econometrics and Business Statistics Working Papers 22/14, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

  7. Taya Dumrongrittikul & Heather Anderson & Farshid Vahid, 2014. "The Effects of Productivity Gains in Asian Emerging Economies: A Global Perspective," Monash Econometrics and Business Statistics Working Papers 23/14, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Bhattarai, Keshab & Mallick, Sushanta K. & Yang, Bo, 2021. "Are global spillovers complementary or competitive? Need for international policy coordination," Journal of International Money and Finance, Elsevier, vol. 110(C).
    2. Gnangnon, Sèna Kimm, 2020. "Aid for Trade flows and Poverty Reduction in Recipient-Countries," EconStor Preprints 213807, ZBW - Leibniz Information Centre for Economics.
    3. Hongyi Chen & Andrew Tsang, 2016. "The Impact of US Monetary Policy and Other External Shocks on the Hong Kong Economy: A Factor-augmented VAR Approach," Working Papers 092016, Hong Kong Institute for Monetary Research.

  8. Terence Chai Cheng & Farshid Vahid, 2011. "Demand for Hospital Care and Private Health Insurance in a Mixed Public–Private System: Empirical Evidence Using a Simultaneous Equation Modeling Approach," Melbourne Institute Working Paper Series wp2011n22, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    Cited by:

    1. Damien Eldridge & Catagay Koc & Ilke Onur & Malathi Velamuri, 2011. "The Impact of Private Hospital Insurance on Utilization of Hospital Care in Australia: Evidence from the National Health Survey," Working Papers 2011.01, School of Economics, La Trobe University, revised Jan 2011.
    2. Fabbri, Daniele & Monfardini, Chiara, 2011. "Opt Out or Top Up? Voluntary Healthcare Insurance and the Public vs. Private Substitution," IZA Discussion Papers 5952, Institute of Labor Economics (IZA).
    3. Gang Chen & Gordon Liu & Fei Xu, 2014. "The Impact of the Urban Resident Basic Medical Insurance on Health Services Utilisation in China," PharmacoEconomics, Springer, vol. 32(3), pages 277-292, March.
    4. Nathan Kettlewell, 2019. "Utilization and Selection in an Ancillaries Health Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 86(4), pages 989-1017, December.
    5. Sandra Hopkins & Michael P. Kidd & Aydogan Ulker, 2013. "Private Health Insurance Status and Utilisation of Dental Services in Australia," The Economic Record, The Economic Society of Australia, vol. 89(285), pages 194-206, June.
    6. Denise Doiron & Nathan Kettlewell, 2020. "Family formation and the demand for health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 523-533, April.
    7. Terence Chai Cheng, 2011. "Measuring the Effects of Removing Subsidies for Private Insurance on Public Expenditure for Health Care," Melbourne Institute Working Paper Series wp2011n26, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    8. Cheng, Terence Chai, 2014. "Measuring the effects of reducing subsidies for private insurance on public expenditure for health care," Journal of Health Economics, Elsevier, vol. 33(C), pages 159-179.
    9. Damien S.Eldridge & Ilke Onur & Malathi Velamuri & Cagatay Koc, 2013. "The Impact of Private Hospital Insurance on the Utilization of Hospital Care In Australia," Working Papers 2013.03, School of Economics, La Trobe University.
    10. Denise Doiron & Denzil G Fiebig & Agne Suziedelyte, 2013. "Hips and hearts: the variation in incentive effects of insurance across hospital procedures," Discussion Papers 2013-14, School of Economics, The University of New South Wales.
    11. Denise Doiron & Nathan Kettlewell, 2018. "The Effect of Health Insurance on the Substitution between Public and Private Hospital Care," The Economic Record, The Economic Society of Australia, vol. 94(305), pages 135-154, June.
    12. Trinh, Cong Tam & Chao, Chi-Chur & Ho, Nhut Quang, 2023. "Private health insurance consumption and public health-care provision in OECD countries: Impact of culture, finance, and the pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    13. Geraci Andrea & Fabbri Daniele & Monfardini Chiara, 2018. "Testing Exogeneity of Multinomial Regressors in Count Data Models: Does Two-stage Residual Inclusion Work?," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-19, January.
    14. Nathan Kettlewell, 2016. "Policy Choice and Product Bundling in a Complicated Health Insurance Market: Do People get it Right?," Discussion Papers 2016-16, School of Economics, The University of New South Wales.
    15. BURNEY, Nadeem A. & ALENEZI, Mohammad & HAMADA, Salwa & AL-MUSALLAM, Nadia, 2019. "The Demand for Public and Private Medical Care Services: Evidence from Kuwait," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(1), pages 107-138.

  9. Heather M. Anderson & Mardi Dungey & Denise R Osborn & Farshid Vahid, 2010. "Financial Integration and the Construction of Historical Financial Data for the Euro Area," Centre for Growth and Business Cycle Research Discussion Paper Series 152, Economics, The University of Manchester.

    Cited by:

    1. Masahiro Inoguchi, 2020. "Factors driving International Capital Flows and the Change after the Global Financial Crisis," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 16(2), pages 163-196, February.
    2. Dumrongrittikul, Taya & Anderson, Heather M., 2016. "How do shocks to domestic factors affect real exchange rates of Asian developing countries?," Journal of Development Economics, Elsevier, vol. 119(C), pages 67-85.
    3. Jing Zeng, 2015. "Combining Country-Specific Forecasts when Forecasting Euro Area Macroeconomic Aggregates," Working Paper Series of the Department of Economics, University of Konstanz 2015-11, Department of Economics, University of Konstanz.
    4. Mardi Dungey & Denise R Osborn, 2009. "Modelling International Linkages for Large Open Economies: US and Euro Area," Centre for Growth and Business Cycle Research Discussion Paper Series 121, Economics, The University of Manchester.
    5. Alastair R. Hall & Denise R. Osborn & Nikolaos Sakkas, 2013. "Inference on Structural Breaks using Information Criteria," Manchester School, University of Manchester, vol. 81, pages 54-81, October.
    6. Ralf Brüggemann & Jing Zeng, 2015. "Forecasting Euro-Area Macroeconomic Variables Using a Factor Model Approach for Backdating," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 22-39, February.
    7. Mardi Dungey & Denise Osborn & Mala Raghavan, 2014. "International Transmissions to Australia: The Roles of the USA and Euro Area," The Economic Record, The Economic Society of Australia, vol. 90(291), pages 421-446, December.
    8. Gram, Dennis & Karapanagiotis, Pantelis & Krzyzanowski, Jan & Liebald, Marius & Walz, Uwe, 2021. "An extensible model for historical financial data with an application to German company and stock market data," SAFE Working Paper Series 300, Leibniz Institute for Financial Research SAFE.
    9. Jing Zeng, 2016. "Combining country-specific forecasts when forecasting Euro area macroeconomic aggregates," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 415-444, May.

  10. George Athanasopoulos & Osmani Teixeira de Carvalho Guillén & João Victor Issler & Farshid Vahid, 2010. "Model selection, Estimation and Forecasting in VAR Models with Short-run and Long-run Restrictions," Working Papers Series 205, Central Bank of Brazil, Research Department.

    Cited by:

    1. David Hendry & Andrew B. Martinez, 2016. "Evaluating Multi-Step System Forecasts with Relatively Few Forecast-Error Observations," Economics Series Working Papers 784, University of Oxford, Department of Economics.
    2. Tu, Yundong & Yi, Yanping, 2017. "Forecasting cointegrated nonstationary time series with time-varying variance," Journal of Econometrics, Elsevier, vol. 196(1), pages 83-98.
    3. Guillen, Osmani Teixeira Carvalho & Hecq, Alain & Issler, João Victor & Saraiva, Diogo Vinícius Menezes, 2013. "Forecasting multivariate time series under present-value-model short- and long-run co-movement restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 742, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    4. Hecq, Alain & Issler, João Victor, 2012. "A Common-feature approach for testing present-value restrictions with financial data," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 728, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    5. Phillips, Peter C.B. & Li, Degui & Gao, Jiti, 2017. "Estimating smooth structural change in cointegration models," Journal of Econometrics, Elsevier, vol. 196(1), pages 180-195.
    6. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
    7. Liao, Zhipeng & Phillips, Peter C. B., 2015. "Automated Estimation Of Vector Error Correction Models," Econometric Theory, Cambridge University Press, vol. 31(3), pages 581-646, June.
    8. Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
    9. Jukka Ruohonen & Sami Hyrynsalmi, 2017. "Evaluating the use of internet search volumes for time series modeling of sales in the video game industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 351-370, November.
    10. Tu, Yundong & Yao, Qiwei & Zhang, Rongmao, 2020. "Error-correction factor models for high-dimensional cointegrated time series," LSE Research Online Documents on Economics 106994, London School of Economics and Political Science, LSE Library.
    11. Alain Hecq & Sébastien Laurent & Franz C. Palm, 2011. "Common Intraday Periodicity," Journal of Financial Econometrics, Oxford University Press, vol. 10(2), pages 325-353, 2012 20 1.
    12. Warsono Warsono & Edwin Russel & Almira Rizka Putri & Wamiliana Wamiliana & Widiarti Widiarti & Mustofa Usman, 2020. "Dynamic Modeling Using Vector Error-correction Model: Studying the Relationship among Data Share Price of Energy PGAS Malaysia, AKRA, Indonesia, and PTT PCL-Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 360-373.
    13. Neri, Marcelo Côrtes, 2014. "Brazil's middle classes," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 759, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    14. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    15. Zhao, Yuan & Zhang, Weiguo & Gong, Xue & Wang, Chao, 2021. "A novel method for online real-time forecasting of crude oil price," Applied Energy, Elsevier, vol. 303(C).
    16. Gaglianone, Wagner Piazza & Issler, João Victor, 2019. "Microfounded forecasting," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 813, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    17. Angelo Mont’Alverne Duarte & Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & João Victor Issler, 2020. "Commodity Prices and Global Economic Activity: a derived-demand approach," Working Papers Series 539, Central Bank of Brazil, Research Department.
    18. Justyna Wróblewska, 2015. "Common Trends and Common Cycles – Bayesian Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 91-110, June.
    19. 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.
    20. Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2013. "Testing for common cycles in non-stationary VARs with varied frecquency data," Research Memorandum 002, Maastricht University, Graduate School of Business and Economics (GSBE).
    21. Lebotsa Daniel Metsileng & Ntebogang Dinah Moroke & Johannes Tshepiso Tsoku, 2018. "Modelling the BRICS Exchange Rates Using the Vector Autoregressive (VAR) Model," Journal of Economics and Behavioral Studies, AMH International, vol. 10(5), pages 220-229.
    22. Poskitt, D.S., 2016. "Vector autoregressive moving average identification for macroeconomic modeling: A new methodology," Journal of Econometrics, Elsevier, vol. 192(2), pages 468-484.
    23. de Mendonça, Helder Ferreira & Baca, Adriana Cabrera, 2022. "Fiscal opacity and reduction of income inequality through taxation: Effects on economic growth," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 69-82.
    24. Heather M Anderson & Farshid Vahid, 2010. "VARs, Cointegration and Common Cycle Restrictions," Monash Econometrics and Business Statistics Working Papers 14/10, Monash University, Department of Econometrics and Business Statistics.
    25. Osmani Teixeira de Carvalho Guillén & Alain Hecq & João Victor Issler & Diogo Saraiva, 2013. "Time Series under Present-Value-Model Short- and Long-run Co-movement Restrictions," Working Papers Series 330, Central Bank of Brazil, Research Department.

  11. Heather M Anderson & Farshid Vahid, 2010. "VARs, Cointegration and Common Cycle Restrictions," Monash Econometrics and Business Statistics Working Papers 14/10, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Guillen, Osmani Teixeira Carvalho & Hecq, Alain & Issler, João Victor & Saraiva, Diogo Vinícius Menezes, 2013. "Forecasting multivariate time series under present-value-model short- and long-run co-movement restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 742, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. Bicu, A.C. & Candelon, B., 2012. "Government bond market dynamics and sovereign risk: systemic or idiosyncratic?," Research Memorandum 032, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    3. Justyna Wróblewska, 2012. "Bayesian Analysis of Weak Form Polynomial Reduced Rank Structures in VEC Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(4), pages 253-267, December.
    4. Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2013. "Testing for common cycles in non-stationary VARs with varied frecquency data," Research Memorandum 002, Maastricht University, Graduate School of Business and Economics (GSBE).
    5. Osmani Teixeira de Carvalho Guillén & Alain Hecq & João Victor Issler & Diogo Saraiva, 2013. "Time Series under Present-Value-Model Short- and Long-run Co-movement Restrictions," Working Papers Series 330, Central Bank of Brazil, Research Department.

  12. Yin Liao & Heather Anderson & Farshid Vahid, 2010. "Do Jumps Matter? Forecasting Multivariate Realized Volatility Allowing for Common Jumps," ANU Working Papers in Economics and Econometrics 2010-520, Australian National University, College of Business and Economics, School of Economics.

    Cited by:

    1. Yin Liao, 2012. "Does Modeling Jumps Help? A Comparison of Realized Volatility Models for Risk Prediction," CAMA Working Papers 2012-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Jin, Xiaoye, 2015. "Volatility transmission and volatility impulse response functions among the Greater China stock markets," Journal of Asian Economics, Elsevier, vol. 39(C), pages 43-58.
    3. Worapree Maneesoonthorn & Catherine S. Forbes & Gael M. Martin, 2013. "Inference on Self-Exciting Jumps in Prices and Volatility using High Frequency Measures," Monash Econometrics and Business Statistics Working Papers 28/13, Monash University, Department of Econometrics and Business Statistics.
    4. Liao, Yin, 2013. "The benefit of modeling jumps in realized volatility for risk prediction: Evidence from Chinese mainland stocks," Pacific-Basin Finance Journal, Elsevier, vol. 23(C), pages 25-48.
    5. Yin Liao & Heather M. Anderson, 2011. "Testing for co-jumps in high-frequency financial data: an approach based on first-high-low-last prices," Monash Econometrics and Business Statistics Working Papers 9/11, Monash University, Department of Econometrics and Business Statistics.
    6. Yuta Koike, 2014. "An estimator for the cumulative co-volatility of asynchronously observed semimartingales with jumps," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(2), pages 460-481, June.
    7. Mohammad Abu Sayeed & Mardi Dungey & Wenying Yao, 2018. "High-frequency Characterisation of Indian Banking Stocks," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 213-238, August.

  13. Trevor Breusch & Farshid Vahid, 2008. "Global Temperature Trends," ANU Working Papers in Economics and Econometrics 2008-495, Australian National University, College of Business and Economics, School of Economics.

    Cited by:

    1. Li Chen & Jiti Gao & Farshid Vahid, 2019. "Global Temperatures and Greenhouse Gases: A Common Features Approach," Monash Econometrics and Business Statistics Working Papers 23/19, Monash University, Department of Econometrics and Business Statistics.
    2. Matthew T. Holt & Timo Teräsvirta, 2017. "Global Hemispheric Temperatures and Co–Shifting: A Vector Shifting–Mean Autoregressive Analysis," CREATES Research Papers 2017-05, Department of Economics and Business Economics, Aarhus University.
    3. Matthew T. Holt & Timo Teräsvirta, 2012. "Global Hemispheric Temperature Trends and Co–Shifting: A Shifting Mean Vector Autoregressive Analysis," CREATES Research Papers 2012-54, Department of Economics and Business Economics, Aarhus University.

  14. Heather Anderson & Mardi Dungey & Denise R. Osborn & Farshid Vahid, 2007. "Constructing Historical Euro Area Data," CAMA Working Papers 2007-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Mardi Dungey, 2010. "Discussion of The Economic Consequences of Oil Shocks: Differences across Countries and Time," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    2. Michael Ehrmann & Marcel Fratzscher & Roberto Rigobon, 2011. "Stocks, bonds, money markets and exchange rates: measuring international financial transmission," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 948-974, September.
    3. P. Siklos & M. Bohl, 2006. "Asset Prices as Indicators of Euro Area Monetary Policy: An Empirical Assessment of Their Role in a Taylor Rule," Working Papers eg0053, Wilfrid Laurier University, Department of Economics, revised 2006.
    4. Lütkepohl Helmut, 2011. "Forecasting Nonlinear Aggregates and Aggregates with Time-varying Weights," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 107-133, February.
    5. Heather M Anderson, 2010. "Discussion of Key Elements of Global Inflation," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    6. Jean-Sébastien Pentecôte & Marilyne Huchet, 2009. "Shock asymmetries and distance to the Euro Area," Post-Print hal-00730072, HAL.
    7. Helmut Luetkepohl, 2009. "Forecasting Aggregated Time Series Variables: A Survey," Economics Working Papers ECO2009/17, European University Institute.
    8. Joan Paredes & Diego J. Pedregal & Javier J. Pérez, 2009. "A quarterly fiscal database for the euro area based on intra-annual fiscal information," Working Papers 0935, Banco de España.
    9. Paredes, Joan & Pedregal, Diego J. & Pérez, Javier J., 2014. "Fiscal policy analysis in the euro area: Expanding the toolkit," Journal of Policy Modeling, Elsevier, vol. 36(5), pages 800-823.

  15. George Athanasopoulos & D.S. Poskitt & Farshid Vahid, 2007. "Two canonical VARMA forms: Scalar component models vis-à-vis the Echelon form," Monash Econometrics and Business Statistics Working Papers 10/07, Monash University, Department of Econometrics and Business Statistics, revised May 2009.

    Cited by:

    1. Gustavo Fruet Dias & George Kapetanios, 2014. "Estimation and Forecasting in Vector Autoregressive Moving Average Models for Rich Datasets," CREATES Research Papers 2014-37, Department of Economics and Business Economics, Aarhus University.
    2. Joshua C.C. Chan & Eric Eisenstat, 2015. "Efficient estimation of Bayesian VARMAs with time-varying coefficients," CAMA Working Papers 2015-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. George Athanasopoulos & Donald S. Poskitt & Farshid Vahid & Wenying Yao, 2016. "Determination of Long‐run and Short‐run Dynamics in EC‐VARMA Models via Canonical Correlations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1100-1119, September.
    4. D.S. Poskitt, 2009. "Vector Autoregresive Moving Average Identification for Macroeconomic Modeling: Algorithms and Theory," Monash Econometrics and Business Statistics Working Papers 12/09, Monash University, Department of Econometrics and Business Statistics.
    5. Abhimanyu Mukerji & Sushant More & Ashwin Viswanathan Kannan & Lakshmi Ravi & Hua Chen & Naman Kohli & Chris Khawand & Dinesh Mandalapu, 2024. "Valuing an Engagement Surface using a Large Scale Dynamic Causal Model," Papers 2408.11967, arXiv.org.
    6. Luis A. Gil-Alana & Rangan Gupta & Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2015. "Time Series Analysis of Persistence in Crude Oil Price Volatility across Bull and Bear Regimes," Working Papers 201580, University of Pretoria, Department of Economics.
    7. Mendoza, Daniel E. & Ochoa-Sánchez, Ana & Samaniego, Esteban P., 2022. "Forecasting of a complex phenomenon using stochastic data-based techniques under non-conventional schemes: The SARS-CoV-2 virus spread case," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    8. Athanasopouolos, George & Poskitt, Don & Vahid, Farshid & Yao, Wenying, 2014. "Forecasting with EC-VARMA models," Working Papers 2014-07, University of Tasmania, Tasmanian School of Business and Economics, revised 22 Feb 2014.
    9. Siva R Venna & Satya Katragadda & Vijay Raghavan & Raju Gottumukkala, 2021. "River Stage Forecasting using Enhanced Partial Correlation Graph," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4111-4126, September.

  16. George Athanasopoulos & Farshid Vahid, 2006. "A Complete VARMA Modelling Methodology Based on Scalar Components," Monash Econometrics and Business Statistics Working Papers 2/06, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2017. "On weak identification in structural VARMA models," Economics Letters, Elsevier, vol. 156(C), pages 1-6.
    2. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2013. "Canadian Monetary Policy Analysis using a Structural VARMA Model," Monash Econometrics and Business Statistics Working Papers 4/13, Monash University, Department of Econometrics and Business Statistics.
    3. Raghavan, Mala, 2019. "An analysis of the global oil market using SVARMA models," Working Papers 2019-01, University of Tasmania, Tasmanian School of Business and Economics.
    4. Jean-Marie Dufour & Tarek Jouini, 2011. "Asymptotic Distributions for Some Quasi-Efficient Estimators in Echelon VARMA Models," CIRANO Working Papers 2011s-25, CIRANO.
    5. Athanasopoulos, George & Vahid, Farshid, 2008. "VARMA versus VAR for Macroeconomic Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 237-252, April.
    6. Mélard, Guy, 2022. "An indirect proof for the asymptotic properties of VARMA model estimators," Econometrics and Statistics, Elsevier, vol. 21(C), pages 96-111.
    7. Gustavo Fruet Dias & George Kapetanios, 2014. "Estimation and Forecasting in Vector Autoregressive Moving Average Models for Rich Datasets," CREATES Research Papers 2014-37, Department of Economics and Business Economics, Aarhus University.
    8. Bernd Funovits, 2019. "Identification and Estimation of SVARMA models with Independent and Non-Gaussian Inputs," Papers 1910.04087, arXiv.org.
    9. Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2014. "VAR(MA), what is it good for? more bad news for reduced-form estimation and inference," Working Papers 2014-14, University of Tasmania, Tasmanian School of Business and Economics.
    10. George Athanasopoulos & D. Poskitt & Farshid Vahid, 2012. "Two Canonical VARMA Forms: Scalar Component Models Vis-à-Vis the Echelon Form," Econometric Reviews, Taylor & Francis Journals, vol. 31(1), pages 60-83.
    11. Marie-Christine Duker & David S. Matteson & Ruey S. Tsay & Ines Wilms, 2024. "Vector AutoRegressive Moving Average Models: A Review," Papers 2406.19702, arXiv.org.
    12. Raghavan, Mala & Athanasopoulos, George, 2019. "Analysis of shock transmissions to a small open emerging economy using a SVARMA model," Economic Modelling, Elsevier, vol. 77(C), pages 187-203.
    13. Pestano-Gabino, Celina & González-Concepción, Concepción & Gil-Fariña, María Candelaria, 2010. "An algebraic analysis using Matrix Padé Approximation to improve the choice of certain parameter in Scalar Component Models," DES - Working Papers. Statistics and Econometrics. WS ws100803, Universidad Carlos III de Madrid. Departamento de Estadística.
    14. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2009. "VARMA models for Malaysian Monetary Policy Analysis," Monash Econometrics and Business Statistics Working Papers 6/09, Monash University, Department of Econometrics and Business Statistics.
    15. BRATU SIMIONESCU, Mihaela, 2012. "Two Quantitative Forecasting Methods For Macroeconomic Indicators In Czech Republic," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 3(1), pages 71-87.
    16. Athanasopouolos, George & Poskitt, Don & Vahid, Farshid & Yao, Wenying, 2014. "Forecasting with EC-VARMA models," Working Papers 2014-07, University of Tasmania, Tasmanian School of Business and Economics, revised 22 Feb 2014.
    17. Mihaela Bratu, 2011. "The Assessement Of Uncertainty In Predictions Determined By The Variables Aggregation," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(13), pages 1-31.
    18. Funovits, Bernd, 2024. "Identifiability and estimation of possibly non-invertible SVARMA Models: The normalised canonical WHF parametrisation," Journal of Econometrics, Elsevier, vol. 241(2).
    19. Guy Melard, 2020. "An Indirect Proof for the Asymptotic Properties of VARMA Model Estimators," Working Papers ECARES 2020-10, ULB -- Universite Libre de Bruxelles.
    20. Poskitt, D.S., 2016. "Vector autoregressive moving average identification for macroeconomic modeling: A new methodology," Journal of Econometrics, Elsevier, vol. 192(2), pages 468-484.
    21. Mihaela BRATU, 2012. "Econometric Models For Determing The Exchange Rate," Romanian Statistical Review, Romanian Statistical Review, vol. 60(4), pages 49-64, May.

  17. George Athanasopoulos & Farshid Vahid, 2006. "VARMA versus VAR for Macroeconomic Forecasting," Monash Econometrics and Business Statistics Working Papers 4/06, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Athanasopoulos, George & Guillen, Osmani Teixeira Carvalho & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 713, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. André Klein & Guy Melard, 2020. "Invertibility Condition of the Fisher Information Matrix of a VARMAX Process and the Tensor Sylvester Matrix," Working Papers ECARES 2020-11, ULB -- Universite Libre de Bruxelles.
    3. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2013. "Canadian Monetary Policy Analysis using a Structural VARMA Model," Monash Econometrics and Business Statistics Working Papers 4/13, Monash University, Department of Econometrics and Business Statistics.
    4. Cengiz KARATAS & Gazanfer UNAL & Adil YILMAZ, 2017. "Co-movement and Forecasting Analysis of Major Real Estate Markets by Wavelet Coherence and Multiple Wavelet Coherence," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-18, June.
    5. Zolfaghari, Mehdi, 2023. "How does US tariff policy affect the relationship among crude oil, the US dollar and metal markets?," Resources Policy, Elsevier, vol. 85(PB).
    6. George Athanasopoulos & Farshid Vahid, 2008. "A complete VARMA modelling methodology based on scalar components," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(3), pages 533-554, May.
    7. Raghavan, Mala, 2019. "An analysis of the global oil market using SVARMA models," Working Papers 2019-01, University of Tasmania, Tasmanian School of Business and Economics.
    8. Chan, Joshua C.C. & Eisenstat, Eric & Koop, Gary, 2014. "Large Bayesian VARMAs," SIRE Discussion Papers 2015-06, Scottish Institute for Research in Economics (SIRE).
    9. Jean-Marie Dufour & Tarek Jouini, 2011. "Asymptotic Distributions for Some Quasi-Efficient Estimators in Echelon VARMA Models," CIRANO Working Papers 2011s-25, CIRANO.
    10. Jiti Gao & Bin Peng & Wei Biao Wu & Yayi Yan, 2022. "Time-Varying Multivariate Causal Processes," Papers 2206.00409, arXiv.org.
    11. Dufour, Jean-Marie & Jouini, Tarek, 2014. "Asymptotic distributions for quasi-efficient estimators in echelon VARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 73(C), pages 69-86.
    12. Mélard, Guy, 2022. "An indirect proof for the asymptotic properties of VARMA model estimators," Econometrics and Statistics, Elsevier, vol. 21(C), pages 96-111.
    13. Gustavo Fruet Dias & George Kapetanios, 2014. "Estimation and Forecasting in Vector Autoregressive Moving Average Models for Rich Datasets," CREATES Research Papers 2014-37, Department of Economics and Business Economics, Aarhus University.
    14. George Athanasopoulos & Donald S. Poskitt & Farshid Vahid & Wenying Yao, 2016. "Determination of Long‐run and Short‐run Dynamics in EC‐VARMA Models via Canonical Correlations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1100-1119, September.
    15. Xu Xiaojie, 2018. "Using Local Information to Improve Short-Run Corn Price Forecasts," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(1), pages 1-15, January.
    16. Christian Kascha & Carsten Trenkler, 2011. "Cointegrated VARMA models and forecasting US interest rates," ECON - Working Papers 033, Department of Economics - University of Zurich.
    17. Adil Yilmaz & Gazanfer Unal, 2016. "Co-movement analysis of Asian stock markets against FTSE100 and S&P 500: Wavelet-based approach," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-19, December.
    18. George Athanasopoulos & Rob J Hyndman & Haiyan Song & Doris C Wu, 2008. "The tourism forecasting competition," Monash Econometrics and Business Statistics Working Papers 10/08, Monash University, Department of Econometrics and Business Statistics, revised Oct 2009.
    19. Neri, Marcelo Côrtes & Soares, Wagner Lopes, 2008. "Turismo sustentável e alivio a pobreza: avaliação de impacto," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 689, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    20. Tu, Yundong & Yao, Qiwei & Zhang, Rongmao, 2020. "Error-correction factor models for high-dimensional cointegrated time series," LSE Research Online Documents on Economics 106994, London School of Economics and Political Science, LSE Library.
    21. Emrah Oral & Gazanfer Unal, 2017. "Co-movement of precious metals and forecasting using scale by scale wavelet transform," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-21, March.
    22. Chan, Joshua C.C., 2013. "Moving average stochastic volatility models with application to inflation forecast," Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
    23. George Athanasopoulos & D. Poskitt & Farshid Vahid, 2012. "Two Canonical VARMA Forms: Scalar Component Models Vis-à-Vis the Echelon Form," Econometric Reviews, Taylor & Francis Journals, vol. 31(1), pages 60-83.
    24. Marie-Christine Duker & David S. Matteson & Ruey S. Tsay & Ines Wilms, 2024. "Vector AutoRegressive Moving Average Models: A Review," Papers 2406.19702, arXiv.org.
    25. Luis A. Gil-Alana & Rangan Gupta & Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2015. "Time Series Analysis of Persistence in Crude Oil Price Volatility across Bull and Bear Regimes," Working Papers 201580, University of Pretoria, Department of Economics.
    26. Raghavan, Mala & Athanasopoulos, George, 2019. "Analysis of shock transmissions to a small open emerging economy using a SVARMA model," Economic Modelling, Elsevier, vol. 77(C), pages 187-203.
    27. Fresoli, Diego & Ruiz, Esther & Pascual, Lorenzo, 2015. "Bootstrap multi-step forecasts of non-Gaussian VAR models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 834-848.
    28. Prasad S Bhattacharya & Dimitrios D Thomakos, 2011. "Improving forecasting performance by window and model averaging," CAMA Working Papers 2011-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    29. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2009. "VARMA models for Malaysian Monetary Policy Analysis," Monash Econometrics and Business Statistics Working Papers 6/09, Monash University, Department of Econometrics and Business Statistics.
    30. Dimitrios D. Thomakos & Konstantinos Nikolopoulos, 2013. "Forecasting multivariate time series with the Theta Method," Working Papers 13004, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    31. Nyberg, Henri & Saikkonen, Pentti, 2012. "Forecasting with a noncausal VAR model," Bank of Finland Research Discussion Papers 33/2012, Bank of Finland.
    32. Yilmaz, Adil & Unal, Gazanfer & Karatasoglu, Cengiz, 2016. "Wavelet Based Analysis Of Major Real Estate Markets," MPRA Paper 74083, University Library of Munich, Germany.
    33. Peter Brockwell & Alexander Lindner & Bernd Vollenbröker, 2012. "Strictly stationary solutions of multivariate ARMA equations with i.i.d. noise," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(6), pages 1089-1119, December.
    34. Pesaran, M. Hashem & Pick, Andreas & Timmermann, Allan, 2011. "Variable selection, estimation and inference for multi-period forecasting problems," Journal of Econometrics, Elsevier, vol. 164(1), pages 173-187, September.
    35. Donayre, Luiggi, 2014. "Estimated Thresholds In The Response Of Output To Monetary Policy: Are Large Policy Changes Less Effective?," Macroeconomic Dynamics, Cambridge University Press, vol. 18(1), pages 41-64, January.
    36. Joshua C.C. Chan & Eric Eisenstat, 2013. "Gibbs Samplers for VARMA and Its Extensions," ANU Working Papers in Economics and Econometrics 2013-604, Australian National University, College of Business and Economics, School of Economics.
    37. Funovits, Bernd, 2024. "Identifiability and estimation of possibly non-invertible SVARMA Models: The normalised canonical WHF parametrisation," Journal of Econometrics, Elsevier, vol. 241(2).
    38. Guy Melard, 2020. "An Indirect Proof for the Asymptotic Properties of VARMA Model Estimators," Working Papers ECARES 2020-10, ULB -- Universite Libre de Bruxelles.
    39. He, Kaijian & Yu, Lean & Tang, Ling, 2015. "Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology," Energy, Elsevier, vol. 91(C), pages 601-609.

  18. Heather M. Anderson & George Athanasopoulos & Farshid Vahid, 2006. "Nonlinear autoregressive leading indicator models of output in G-7 countries," CAMA Working Papers 2006-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    2. Moid U. Ahmad, 2015. "Does CRR and Repo Change Affect Corporate Output?," Jindal Journal of Business Research, , vol. 4(1-2), pages 115-125, June.
    3. Ubilava, David, 2014. "On the Relationship between Financial Instability and Economic Performance: Stressing the Business of Nonlinear Modelling," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170222, Agricultural and Applied Economics Association.
    4. Nidhaleddine Ben Cheikh & Sami Ben Naceur & Oussama Kanaan & Christophe Rault, 2021. "Investigating the asymmetric impact of oil prices on GCC stock markets," Post-Print hal-03529868, HAL.
    5. Markku Lanne & Henri Nyberg, 2014. "Generalized Forecast Error Variance Decomposition for Linear and Nonlinear Multivariate Models," CREATES Research Papers 2014-17, Department of Economics and Business Economics, Aarhus University.
    6. Boonsoo Koo & Myung Hwan Seo, 2013. "Structural-break models under mis-specification: implications for forecasting," Monash Econometrics and Business Statistics Working Papers 11/13, Monash University, Department of Econometrics and Business Statistics.
    7. John G Powell & Sirimon Treepongkaruna, 2012. "Recession fears as self-fulfilling prophecies? Influence on stock returns and output," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 231-260, August.
    8. Nidhaleddine Ben Cheikh & Younes Ben Zaied & Pascal Nguyen, 2018. "Nonlinear Exchange Rate Transmission in the Euro Area: A Multivariate Smooth Transition Regression Approach," Economics Bulletin, AccessEcon, vol. 38(3), pages 1590-1602.
    9. NIDHALEDDINE BEN CHEIKH & SAMI BEN NACEUR & OUSSAMA KANAAN & Christophe RAULT, 2019. "Oil Prices and GCC Stock Markets: New Evidence from Vector Smooth Transition Models," LEO Working Papers / DR LEO 2697, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    10. Maksim Isakin & Phuong V. Ngo, 2020. "Variance Decomposition Analysis for Nonlinear Economic Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1362-1374, December.
    11. Kheifets, Igor L., 2018. "Multivariate specification tests based on a dynamic Rosenblatt transform," Computational Statistics & Data Analysis, Elsevier, vol. 124(C), pages 1-14.
    12. Igor L. Kheifets & Pentti J. Saikkonen, 2020. "Stationarity and ergodicity of vector STAR models," Econometric Reviews, Taylor & Francis Journals, vol. 39(4), pages 407-414, April.
    13. Ralf Becker & Denise Osborn, 2007. "Weighted smooth transition regressions," Economics Discussion Paper Series 0724, Economics, The University of Manchester.

  19. Farshid Vahid & Pushkar Maitra, 2005. "The Effect of Household Characteristics on Living Standards in South Africa 1993 - 98: A Quantile Regression Analysis with Sample Attrition," ANU Working Papers in Economics and Econometrics 2005-452, Australian National University, College of Business and Economics, School of Economics.

    Cited by:

    1. Martine Mariotti & Juergen Meinecke, 2009. "Nonparametric Bounds on Returns to Education in South Africa: Overcoming Ability and Selection Bias," ANU Working Papers in Economics and Econometrics 2009-510, Australian National University, College of Business and Economics, School of Economics.
    2. Essama-Nssah, B. & Bassole, Leandre, 2010. "A counterfactual analysis of the poverty impact of economic growth in Cameroon," Policy Research Working Paper Series 5249, The World Bank.

  20. Heather Anderson & Fashid Vahid, 2005. "Forecasting the Volatility of Australian Stock Returns: Do Common Factors Help?," ANU Working Papers in Economics and Econometrics 2005-451, Australian National University, College of Business and Economics, School of Economics.

    Cited by:

    1. Yin Liao & Heather M. Anderson & Farshid Vahid, 2010. "Do Jumps Matter? Forecasting Multivariate Realized Volatility allowing for Common Jumps," Monash Econometrics and Business Statistics Working Papers 11/10, Monash University, Department of Econometrics and Business Statistics.
    2. Yin Liao, 2012. "Does Modeling Jumps Help? A Comparison of Realized Volatility Models for Risk Prediction," CAMA Working Papers 2012-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Yang Gao & Bianxia Sun, 2018. "Impacts of Introducing Index Futures on Stock Market Volatilities: New Evidences from China," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-23, December.
    4. Bauwens, Luc & Chevillon, Guillaume & Laurent, Sébastien, 2023. "We modeled long memory with just one lag!," Journal of Econometrics, Elsevier, vol. 236(1).
    5. Megaritis, Anastasios & Vlastakis, Nikolaos & Triantafyllou, Athanasios, 2021. "Stock market volatility and jumps in times of uncertainty," Journal of International Money and Finance, Elsevier, vol. 113(C).
    6. Alain Hecq & Franz C. Palm & Sébastien Laurent, 2016. "On the Univariate Representation of BEKK Models with Common Factors," Post-Print hal-01440307, HAL.
    7. Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2017. "A vector heterogeneous autoregressive index model for realized volatility measures," International Journal of Forecasting, Elsevier, vol. 33(2), pages 337-344.
    8. Isabel Ruiz, 2007. "Common Volatility across Latin American Foreign Exchange Markets," Working Papers 0702, Sam Houston State University, Department of Economics and International Business.
    9. Eichengreen, Barry & Mody, Ashoka & Nedeljkovic, Milan & Sarno, Lucio, 2012. "How the Subprime Crisis went global: Evidence from bank credit default swap spreads," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1299-1318.
    10. G.C. Lim & Viet Hoang Nguyen, 2015. "Alternative Weighting Approaches To Computing Indexes Of Economic Activity," Journal of Economic Surveys, Wiley Blackwell, vol. 29(2), pages 287-300, April.
    11. Andersen, Torben G. & Bollerslev, Tim & Huang, Xin, 2011. "A reduced form framework for modeling volatility of speculative prices based on realized variation measures," Journal of Econometrics, Elsevier, vol. 160(1), pages 176-189, January.
    12. Heather M. Anderson & Farshid Vahid, 2013. "Common non-linearities in multiple series of stock market volatility," Monash Econometrics and Business Statistics Working Papers 1/13, Monash University, Department of Econometrics and Business Statistics.
    13. Gael M. Martin & Andrew Reidy & Jill Wright, 2009. "Does the option market produce superior forecasts of noise-corrected volatility measures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 77-104.
    14. Yang, Ke & Tian, Fengping & Chen, Langnan & Li, Steven, 2017. "Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 276-291.
    15. Andreou, Elena & Ghysels, Eric, 2021. "Predicting the VIX and the volatility risk premium: The role of short-run funding spreads Volatility Factors," Journal of Econometrics, Elsevier, vol. 220(2), pages 366-398.
    16. Elena Andreou & Eric Ghysels, 2014. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 168-171, April.
    17. Gael M. Martin & Andrew Reidy & Jill Wright, 2006. "Assessing the Impact of Market Microstructure Noise and Random Jumps on the Relative Forecasting Performance of Option-Implied and Returns-Based Volatility," Monash Econometrics and Business Statistics Working Papers 10/06, Monash University, Department of Econometrics and Business Statistics.
    18. Gianluca Cubadda & Alain Hecq & Antonio Riccardo, 2018. "Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector," CEIS Research Paper 445, Tor Vergata University, CEIS, revised 30 Oct 2018.
    19. Bruno Deschamps & Tianlun Fei & Ying Jiang & Xiaoquan Liu, 2022. "Procyclical volatility in Chinese stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1117-1144, April.
    20. Chevillon, G. & Hecq, A.W. & Laurent, S.F.J.A., 2015. "Long memory through marginalization of large systems and hidden cross-section dependence," Research Memorandum 014, Maastricht University, Graduate School of Business and Economics (GSBE).
    21. Jiahe Lin & George Michailidis, 2019. "Approximate Factor Models with Strongly Correlated Idiosyncratic Errors," Papers 1912.04123, arXiv.org.
    22. Ghysels, Eric & Andreou, Elena, 2014. "Predicting the VIX and the Volatility Risk Premium: What's Credit and Commodity Volatility Risk Got To Do With It?," CEPR Discussion Papers 10236, C.E.P.R. Discussion Papers.
    23. Jian Zhou, 2017. "Forecasting REIT volatility with high-frequency data: a comparison of alternative methods," Applied Economics, Taylor & Francis Journals, vol. 49(26), pages 2590-2605, June.
    24. Ghysels, Eric, 2014. "Factor Analysis with Large Panels of Volatility Proxies," CEPR Discussion Papers 10034, C.E.P.R. Discussion Papers.
    25. Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
    26. Riza Erdugan & Nada Kulendran & Riccardo Natoli, 2019. "Incorporating financial market volatility to improve forecasts of directional changes in Australian share market returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 417-445, December.
    27. Wang, Xunxiao & Wu, Chongfeng & Xu, Weidong, 2015. "Volatility forecasting: The role of lunch-break returns, overnight returns, trading volume and leverage effects," International Journal of Forecasting, Elsevier, vol. 31(3), pages 609-619.
    28. Le, Van & Zurbruegg, Ralf, 2010. "The role of trading volume in volatility forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 533-555, December.
    29. Bodnar, Taras & Reiß, Markus, 2016. "Exact and asymptotic tests on a factor model in low and large dimensions with applications," Journal of Multivariate Analysis, Elsevier, vol. 150(C), pages 125-151.
    30. J. Piplack & M. Beine & B. Candelon, 2009. "Comovements of Returns and Volatility in International Stock Markets: A High-Frequency Approach," Working Papers 09-10, Utrecht School of Economics.
    31. Vyacheslav Abramov & Fima Klebaner, 2007. "Estimation and Prediction of a Non-Constant Volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(1), pages 1-23, March.
    32. Tianlun Fei & Xiaoquan Liu & Conghua Wen, 2023. "Forecasting stock return volatility: Realized volatility‐type or duration‐based estimators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1594-1621, November.
    33. Kai Wu & Yi Liu & Weiyang Feng, 2022. "The Effect of Index Option Trading on Stock Market Volatility in China: An Empirical Investigation," JRFM, MDPI, vol. 15(4), pages 1-19, March.
    34. Abramov, Vyacheslav & Klebaner, Fima, 2006. "Forecasting and testing a non-constant volatility," MPRA Paper 207, University Library of Munich, Germany.
    35. Fei, Tianlun & Liu, Xiaoquan & Wen, Conghua, 2019. "Cross-sectional return dispersion and volatility prediction," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).

  21. Phillip Gould & Anne B. Koehler & Farshid Vahid-Araghi & Ralph D. Snyder & J. Keith Ord & Rob J. Hyndman, 2004. "Forecasting Time-Series with Correlated Seasonality," Monash Econometrics and Business Statistics Working Papers 28/04, Monash University, Department of Econometrics and Business Statistics, revised Oct 2005.

    Cited by:

    1. Masseran, Nurulkamal, 2016. "Modeling the fluctuations of wind speed data by considering their mean and volatility effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 777-784.

  22. Heather Anderson & Farshid Vahid, 2003. "The Decline in Income Growth Volatility in the United States: Evidence from Regional Data," Monash Econometrics and Business Statistics Working Papers 21/03, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Gerald A. Carlino & Robert Defina & Keith Sill, 2013. "The Long and Large Decline in State Employment Growth Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2‐3), pages 521-534, March.
    2. Owyang, Michael T. & Piger, Jeremy & Wall, Howard J., 2008. "A state-level analysis of the Great Moderation," Regional Science and Urban Economics, Elsevier, vol. 38(6), pages 578-589, November.

  23. Heather M. Anderson & Farshid Vahid, 2003. "Nonlinear Correlograms and Partial Autocorrelograms," Monash Econometrics and Business Statistics Working Papers 19/03, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Luca Bagnato & Lucio De Capitani & Antonio Punzo, 2018. "Testing for Serial Independence: Beyond the Portmanteau Approach," The American Statistician, Taylor & Francis Journals, vol. 72(3), pages 219-238, July.
    2. Luca Bagnato & Lucio De Capitani & Antonio Punzo, 2017. "A diagram to detect serial dependencies: an application to transport time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 581-594, March.
    3. Yoon, Gawon, 2010. "Do real exchange rates really follow threshold autoregressive or exponential smooth transition autoregressive models?," Economic Modelling, Elsevier, vol. 27(2), pages 605-612, March.

  24. George Athanasopoulos & Farshid Vahid, 2002. "Statistical Inference on Changes in Income Inequality in Australia," Monash Econometrics and Business Statistics Working Papers 9/02, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Jill Wright & Ma. Rebecca Valenzuela & Duangkamon Chotikapanich, 2011. "Measuring Poverty and Inequality from Highly Aggregated Small Area Data: The Changing Fortunes of Latrobe Valley Households," Monash Econometrics and Business Statistics Working Papers 4/12, Monash University, Department of Econometrics and Business Statistics.
    2. Bönke Timm & Schröder Carsten, 2011. "Poverty in Germany – Statistical Inference and Decomposition," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(2), pages 178-209, April.
    3. Stéphane Mussard & Pi Alperin María Noel, 2006. "Measuring Significance of Inequalities with Heterogeneous Groups and Income Sources," Cahiers de recherche 06-13, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    4. Luis Ayala & Javier Martín-Román & Juan Vicente, 2020. "The Contribution of the Spatial Dimension to Inequality: A Counterfactual Analysis for OECD Countries," LIS Working papers 784, LIS Cross-National Data Center in Luxembourg.
    5. Roger Wilkins, 2013. "Evaluating the Evidence on Income Inequality in Australia in the 2000s," Melbourne Institute Working Paper Series wp2013n26, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Jeff Borland & Michael Coelli, 2016. "Labour Market Inequality in Australia," The Economic Record, The Economic Society of Australia, vol. 92(299), pages 517-547, December.
    7. Timm Bönke & Carsten Schröder, 2010. "Country Inequality Rankings and Conversion Schemes," Discussion Papers of DIW Berlin 1068, DIW Berlin, German Institute for Economic Research.
    8. Lawrence Dacuycuy & Connie Dacuycuy, 2012. "Decomposing temporal changes in covariate contributions to wage inequality," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1279-1283, September.
    9. Mukhopadhyay, Jyoti Prasad, 2014. "Does access to microfinance affect consumption inequality? :evidence from a randomized controlled trial in Andhra Pradesh, India," MPRA Paper 58674, University Library of Munich, Germany.
    10. Bönke Timm & Schröder Carsten & Schulte Katharina, 2010. "Incomes and Inequality in the Long Run: The Case of German Elderly," German Economic Review, De Gruyter, vol. 11(4), pages 487-510, December.
    11. Rubiana Chamarbagwala, 2010. "Economic liberalization and urban–rural inequality in India: a quantile regression analysis," Empirical Economics, Springer, vol. 39(2), pages 371-394, October.
    12. Guglielmo D’Amico & Giuseppe Di Biase & Raimondo Manca, 2011. "Immigration Effects On Economic Systems Through Dynamic Inequality Indices," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 5(5), pages 11-25.
    13. Paul Gregg & Rosanna Scutella & Claudia Vittori, 2012. "Earnings Mobility and Inequality: An Integrated Framework," Melbourne Institute Working Paper Series wp2012n26, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    14. Carsten Schröder, 2011. "Cowell, F.: Measuring Inequality. London School of Economics Perspectives in Economic Analysis," Journal of Economics, Springer, vol. 104(3), pages 281-285, November.
    15. Hooi Hooi Lean & Ma. Rebecca Valenzuela, 2012. "Inequality in Australia 1983-2004: A Stochastic Dominance Approach," Monash Economics Working Papers 06-12, Monash University, Department of Economics.
    16. D'Amico, Guglielmo & Di Biase, Giuseppe & Manca, Raimondo, 2012. "Income inequality dynamic measurement of Markov models: Application to some European countries," Economic Modelling, Elsevier, vol. 29(5), pages 1598-1602.
    17. Guglielmo D’Amico & Giuseppe Di Biase & Raimondo Manca, 2015. "Measuring Income Inequality: An Application Of The Population Dynamic Theil'S Entropy," Accounting & Taxation, The Institute for Business and Finance Research, vol. 7(1), pages 103-114.
    18. Timm Bönke & Carsten Schröder & Katharina Schulte, 2011. "Zur Entwicklung der Einkommensverteilung unter älteren Menschen in Deutschland seit der Wiedervereinigung," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 80(2), pages 81-99.
    19. Ana Suárez Álvarez & Ana Jesús López Menéndez, 2018. "Assessing Changes Over Time in Inequality of Opportunity: The Case of Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 989-1014, October.
    20. Francisco Azpitarte & Olga Alonso-Villar, 2012. "A Dominance Criterion for Measuring Income Inequality from a Centrist View: The Case of Australia," Melbourne Institute Working Paper Series wp2012n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

  25. Issler, João Victor & Vahid, Farshid, 2002. "The missing link: using the NBER recession indicator to construct coincident and leading indices economic activity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 445, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. Osmani Teixeira de Carvalho Guillén & João Victor Issler & George Athanasopoulos, 2005. "Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 15/05, Monash University, Department of Econometrics and Business Statistics.
    2. João Victor Issler & Hilton Hostalacio Notini & Claudia Fontoura Rodrigues, 2013. "Constructing coincident and leading indices of economic activity for the Brazilian economy," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 43-65.
    3. Izabel Cristina de Lima & Sueli Moro & Frederico Gonzaga Jayme Junior, 2006. "Ciclos E Previsão Cíclica: Um Modelo De Indicadores Antecedentes Para A Economia Brasileira," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 13, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. G.C. Lim & Viet Hoang Nguyen, 2015. "Alternative Weighting Approaches To Computing Indexes Of Economic Activity," Journal of Economic Surveys, Wiley Blackwell, vol. 29(2), pages 287-300, April.
    5. Issler, João Victor & Notini, Hilton Hostalácio, 2015. "Estimating Brazilian monthly GDP: a state-space approach," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 774, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    6. Rachidi Kotchoni & Dalibor Stevanovic, 2020. "GDP Forecast Accuracy During Recessions," Working Papers 20-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    7. Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2013. "A general to specific approach for constructing composite business cycle indicators," Economic Modelling, Elsevier, vol. 33(C), pages 367-374.
    8. Aaron H. Anglin & Aaron F. McKenny & Jeremy C. Short, 2018. "The Impact of Collective Optimism on New Venture Creation and Growth: A Social Contagion Perspective," Entrepreneurship Theory and Practice, , vol. 42(3), pages 390-425, May.
    9. Rachidi Kotchoni & Dalibor Stevanovic, 2013. "Probability and Severity of Recessions," Cahiers de recherche 1341, CIRPEE.
    10. Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," Working Papers hal-04141569, HAL.
    11. Issler, Joao Victor & Notini, Hilton & Rodrigues, Claudia & Soares, Ana Flávia, 2013. "Constructing coincident indices of economic activity for the Latin American economy," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    12. Delalibera, Bruno Ricardo & Issler, João Victor & Branco, Roberto da Cunha Castello, 2017. "Using common features to investigate common growth cycles for BRICS Countries," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 784, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    13. Agne Reklaite, 2011. "Coincident, leading and recession indexes for the Lithuanian economy," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(1), pages 91-108, July.
    14. Fabio Araujo & Joao Victor Issler, 2005. "Estimating the Stochastic Discount Factor without a Utility Function," Computing in Economics and Finance 2005 202, Society for Computational Economics.
    15. Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner Piazza Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Artur Brasil Fialho Rodrigues, 2023. "Predicting Recessions in (almost) Real Time in a Big-data Setting," Working Papers Series 587, Central Bank of Brazil, Research Department.
    16. Matta Samer, 2015. "New Coincident and Leading Indexes for the Lebanese Economy," Review of Middle East Economics and Finance, De Gruyter, vol. 11(3), pages 277-303, December.
    17. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    18. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 650, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    19. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    20. Edda Claus & Chew Lian Chua & G. C. Lim, 2011. "Regional Indexes of Activity: Combining the Old with the New," Melbourne Institute Working Paper Series wp2011n15, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    21. Gaglianone, Wagner Piazza & Issler, João Victor, 2019. "Microfounded forecasting," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 813, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    22. Angelo Mont’Alverne Duarte & Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & João Victor Issler, 2020. "Commodity Prices and Global Economic Activity: a derived-demand approach," Working Papers Series 539, Central Bank of Brazil, Research Department.
    23. Ham, Hyuna & Ryu, Doojin & Webb, Robert I., 2022. "The effects of overnight events on daytime trading sessions," International Review of Financial Analysis, Elsevier, vol. 83(C).
    24. Cubadda, Gianluca & Hecq, Alain, 2003. "The Role of Common Cyclical Features for Coincident and Leading Indexes Building," Economics & Statistics Discussion Papers esdp03002, University of Molise, Department of Economics.
    25. Alain Hecq, 2005. "Should we really care about building business cycle coincident indexes!," Applied Economics Letters, Taylor & Francis Journals, vol. 12(3), pages 141-144.
    26. 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.
    27. He, Qing & Guo, Yongxiu & Yu, Jishuang, 2020. "Nonlinear dynamics of gold and the dollar," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    28. Issler, João Victor & Notini, Hilton Hostalácio & Rodrigues, Claudia Oliveira da Fontoura, 2009. "Um indicador coincidente e antecedente da atividade econômica brasileira," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 695, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    29. Heij, C., 2007. "Improved forecasting with leading indicators: the principal covariate index," Econometric Institute Research Papers EI 2007-23, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  26. Anderson, H.M. & Vahid, F., 2001. "Market Architecture and Nonlinear Dynamics of Australian Stock and Future Indices," Monash Econometrics and Business Statistics Working Papers 3/01, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Canto, Bea & Kräussl, Roman, 2007. "Electronic trading systems and intraday non-linear dynamics: An examination of the FTSE 100 cash and futures returns," CFS Working Paper Series 2007/20, Center for Financial Studies (CFS).
    2. Assaf, Ata, 2006. "The stochastic volatility in mean model and automation: Evidence from TSE," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 241-253, May.
    3. Nowak, Sylwia & Anderson, Heather M., 2014. "How does public information affect the frequency of trading in airline stocks?," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 26-38.
    4. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    5. Gourishankar S Hiremath & Bandi Kamaiah, 2010. "Nonlinear Dependence in Stock Returns: Evidences from India," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(1), pages 69-85, January.
    6. Sylwia Nowak, 2008. "How Do Public Announcements Affect The Frequency Of Trading In U.S. Airline Stocks?," CAMA Working Papers 2008-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

  27. Vahid, F. & Sarin, R., 2001. "Strategy Similarity and Coordination," Monash Econometrics and Business Statistics Working Papers 8/01, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Ralph-C. Bayer & Elke Renner & Rupert Sausgruber, 2013. "Confusion and learning in the voluntary contributions game," Experimental Economics, Springer;Economic Science Association, vol. 16(4), pages 478-496, December.
    2. Dürsch, Peter & Kolb, Albert & Oechssler, Jörg & Schipper, Burkhard C., 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 63, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    3. Mohlin, Erik & Östling, Robert & Wang, Joseph Tao-yi, 2020. "Learning by similarity-weighted imitation in winner-takes-all games," Games and Economic Behavior, Elsevier, vol. 120(C), pages 225-245.
    4. Brit Grosskopf & Rajiv Sarin & Elizabeth Watson, 2015. "An experiment on case-based decision making," Theory and Decision, Springer, vol. 79(4), pages 639-666, December.
    5. Beggs Alan, 2009. "Learning in Bayesian Games with Binary Actions," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 9(1), pages 1-30, September.
    6. Ralph-C. Bayer & Elke Renner & Rupert Sausgruber, 2009. "Confusion and Reinforcement Learning in Experimental Public Goods Games," Working Papers 2009-22, Faculty of Economics and Statistics, Universität Innsbruck.
    7. Oyarzun, Carlos & Ruf, Johannes, 2014. "Convergence in models with bounded expected relative hazard rates," Journal of Economic Theory, Elsevier, vol. 154(C), pages 229-244.
    8. Omar A. Guerrero & Gonzalo Casta~neda & Florian Ch'avez-Ju'arez, 2019. "How do governments determine policy priorities? Studying development strategies through spillover networks," Papers 1902.00432, arXiv.org.
    9. Hu Sun & Yun Wang, 2019. "Do On-lookers See Most of the Game? Evaluating Job-seekers' Competitiveness of Oneself versus of Others in a Labor Market Experiment," Working Papers 2019-07-11, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    10. Teck H. Ho & Xin Wang & Colin F. Camerer, 2008. "Individual Differences in EWA Learning with Partial Payoff Information," Economic Journal, Royal Economic Society, vol. 118(525), pages 37-59, January.
    11. Wu, Hang & Bayer, Ralph-C, 2015. "Learning from inferred foregone payoffs," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 445-458.
    12. Peter Duersch & Albert Kolb & Jörg Oechssler & Burkhard Schipper, 2010. "Rage against the machines: how subjects play against learning algorithms," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 43(3), pages 407-430, June.

  28. Vahid, Farshid & Issler, João Victor, 2001. "The importance of common cyclical features in VAR analysis: a Monte-Carlo study," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 417, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. David Hendry & Andrew B. Martinez, 2016. "Evaluating Multi-Step System Forecasts with Relatively Few Forecast-Error Observations," Economics Series Working Papers 784, University of Oxford, Department of Economics.
    2. Athanasopoulos, George & Guillen, Osmani Teixeira Carvalho & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 713, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    3. Guillen, Osmani Teixeira Carvalho & Hecq, Alain & Issler, João Victor & Saraiva, Diogo Vinícius Menezes, 2013. "Forecasting multivariate time series under present-value-model short- and long-run co-movement restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 742, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    4. Osmani Teixeira de Carvalho Guillén & João Victor Issler & George Athanasopoulos, 2005. "Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 15/05, Monash University, Department of Econometrics and Business Statistics.
    5. João Victor Issler & Hilton Hostalacio Notini & Claudia Fontoura Rodrigues, 2013. "Constructing coincident and leading indices of economic activity for the Brazilian economy," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 43-65.
    6. Hecq, Alain & Issler, João Victor, 2012. "A Common-feature approach for testing present-value restrictions with financial data," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 728, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    7. Paresh Kumar Narayan & Seema Narayan, 2008. "Do Permanent Shocks Explain Income Levels? A Common Cycle–Common Trend Analysis Of Regional Income Levels For China," Pacific Economic Review, Wiley Blackwell, vol. 13(5), pages 656-662, December.
    8. Gutierrez, Carlos Enrique Carrasco & Souza, Reinaldo Castro & Guillén, Osmani Teixeira de Carvalho, 2009. "Selection of Optimal Lag Length in Cointegrated VAR Models with Weak Form of Common Cyclical Features," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
    9. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
    10. Narayan, Paresh Kumar, 2008. "Estimating exchange rate responsiveness to shocks," Review of Financial Economics, Elsevier, vol. 17(4), pages 338-351, December.
    11. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2000. "Testing for Common Cyclical Features in Nonstationary Panel Data Models," CESifo Working Paper Series 248, CESifo.
    12. Issler, Joao Victor & Vahid, Farshid, 2001. "Common cycles and the importance of transitory shocks to macroeconomic aggregates," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 449-475, June.
    13. Narayan, Paresh Kumar, 2008. "Understanding the importance of permanent and transitory shocks at business cycle horizons for the UK," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2879-2888.
    14. Paresh Kumar Narayan, 2008. "Estimating exchange rate responsiveness to shocks," Review of Financial Economics, John Wiley & Sons, vol. 17(4), pages 338-351, December.
    15. Neri, Marcelo Côrtes & Soares, Wagner Lopes, 2008. "Turismo sustentável e alivio a pobreza: avaliação de impacto," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 689, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    16. Franchi, Massimo & Paruolo, Paolo, 2011. "A characterization of vector autoregressive processes with common cyclical features," Journal of Econometrics, Elsevier, vol. 163(1), pages 105-117, July.
    17. Tu, Yundong & Yao, Qiwei & Zhang, Rongmao, 2020. "Error-correction factor models for high-dimensional cointegrated time series," LSE Research Online Documents on Economics 106994, London School of Economics and Political Science, LSE Library.
    18. Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2006. "VARs, common factors and the empirical validation of equilibrium business cycle models," Journal of Econometrics, Elsevier, vol. 132(1), pages 257-279, May.
    19. Issler, Joao Victor & Notini, Hilton & Rodrigues, Claudia & Soares, Ana Flávia, 2013. "Constructing coincident indices of economic activity for the Latin American economy," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    20. OGAWA, Eiji & 小川, 英治 & WANG, Zhiqian, 2014. "How Did the Global Financial Crisis Misalign East Asian Currencies?," Working Paper Series G-1-8, Hitotsubashi University Center for Financial Research.
    21. Delalibera, Bruno Ricardo & Issler, João Victor & Branco, Roberto da Cunha Castello, 2017. "Using common features to investigate common growth cycles for BRICS Countries," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 784, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    22. Fabio Araujo & Joao Victor Issler, 2005. "Estimating the Stochastic Discount Factor without a Utility Function," Computing in Economics and Finance 2005 202, Society for Computational Economics.
    23. Yin-Wong Cheung & Frank Westermann, 2003. "Sectoral trends and cycles in Germany," Empirical Economics, Springer, vol. 28(1), pages 141-156, January.
    24. Fitzgibbon, L.J., 2006. "On sampling stationary autoregressive model parameters uniformly in r2 value," Statistics & Probability Letters, Elsevier, vol. 76(4), pages 349-352, February.
    25. Heather Anderson & Fashid Vahid, 2005. "Forecasting the Volatility of Australian Stock Returns: Do Common Factors Help?," ANU Working Papers in Economics and Econometrics 2005-451, Australian National University, College of Business and Economics, School of Economics.
    26. Narayan, Paresh Kumar & Narayan, Seema & Smyth, Russell, 2011. "Energy consumption at business cycle horizons: The case of the United States," Energy Economics, Elsevier, vol. 33(2), pages 161-167, March.
    27. Trenkler, Carsten & Weber, Enzo, 2012. "Codependent VAR Models and the Pseudo-Structural Form," Working Papers 12-10, University of Mannheim, Department of Economics.
    28. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 650, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    29. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    30. Gaglianone, Wagner Piazza & Issler, João Victor, 2019. "Microfounded forecasting," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 813, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    31. Angelo Mont’Alverne Duarte & Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & João Victor Issler, 2020. "Commodity Prices and Global Economic Activity: a derived-demand approach," Working Papers Series 539, Central Bank of Brazil, Research Department.
    32. Carrasco Gutierrez, Carlos Enrique & Castro Souza, Reinaldo & Teixeira de Carvalho Guillén, Osmani, 2009. "Selection of optimal lag length in cointegrated VAR models with weak form of common cyclical features," MPRA Paper 22550, University Library of Munich, Germany.
    33. Marco Centoni & Gianluca Cubadda, 2011. "Modelling Comovements of Economic Time Series: A Selective Survey," CEIS Research Paper 215, Tor Vergata University, CEIS, revised 26 Oct 2011.
    34. Jorge Herrera Hernández, 2004. "Business cycles in Mexico and the United States: Do they share common movements?," Journal of Applied Economics, Universidad del CEMA, vol. 7, pages 303-323, November.
    35. Athanasopouolos, George & Poskitt, Don & Vahid, Farshid & Yao, Wenying, 2014. "Forecasting with EC-VARMA models," Working Papers 2014-07, University of Tasmania, Tasmanian School of Business and Economics, revised 22 Feb 2014.
    36. Sun, Wenbin & Price, Joseph & Ding, Yuan, 2019. "The longitudinal effects of internationalization on firm performance: The moderating role of marketing capability," Journal of Business Research, Elsevier, vol. 95(C), pages 326-337.
    37. Cubadda, Gianluca & Hecq, Alain, 2003. "The Role of Common Cyclical Features for Coincident and Leading Indexes Building," Economics & Statistics Discussion Papers esdp03002, University of Molise, Department of Economics.
    38. Narayan, Paresh Kumar, 2008. "An investigation of the behaviour of Australia's business cycle," Economic Modelling, Elsevier, vol. 25(4), pages 676-683, July.
    39. Tim M Christensen & Stan Hurn & Adrian Pagan, 2009. "Detecting Common Dynamics in Transitory Components," NCER Working Paper Series 49, National Centre for Econometric Research.
    40. Paresh Narayan, 2008. "Common Trends and Common Cycles in Per Capita GDP: The Case of the G7 Countries, 1870–2001," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(3), pages 280-290, August.
    41. Carsten Trenkler & Enzo Weber, 2020. "Identifying shocks to business cycles with asynchronous propagation," Empirical Economics, Springer, vol. 58(4), pages 1815-1836, April.
    42. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2001. "Testing for Common Cyclical Features in Var Models with Cointegration," CESifo Working Paper Series 451, CESifo.
    43. Justyna Wróblewska, 2015. "Common Trends and Common Cycles – Bayesian Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 91-110, June.
    44. Vahid, Farshid & Issler, Joao Victor, 2002. "The importance of common cyclical features in VAR analysis: a Monte-Carlo study," Journal of Econometrics, Elsevier, vol. 109(2), pages 341-363, August.
    45. Burak Alparslan Eroğlu & Deniz İkizlerli & Numan Ülkü, 2024. "A mixed-frequency VAR application to studying joint dynamics of foreign investor trading and stock market returns," Empirical Economics, Springer, vol. 67(1), pages 47-73, July.
    46. Alasdair Scott & George Kapetanios & Adrian Pagan, 2005. "Making a match: combining theory and evidence in policy-oriented macroeconomic modelling," Computing in Economics and Finance 2005 462, Society for Computational Economics.
    47. 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.
    48. Valentina Corradi & Norman R. Swanson, 2003. "The Effect of Data Transformation on Common Cycle, Cointegration and Unit Root Tests: Monte Carlo Results and a Simple Test," Departmental Working Papers 200322, Rutgers University, Department of Economics.
    49. Gaolu Zou & Kwong Wing Chau, 2020. "Effects of International Crude Oil Prices on Energy Consumption in China," Energies, MDPI, vol. 13(15), pages 1-17, July.
    50. Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2013. "Testing for common cycles in non-stationary VARs with varied frecquency data," Research Memorandum 002, Maastricht University, Graduate School of Business and Economics (GSBE).
    51. OGAWA Eiji & Zhiqian WANG, 2013. "How Did the Global Financial Crisis Misalign East Asian Currencies?," Discussion papers 13096, Research Institute of Economy, Trade and Industry (RIETI).
    52. Heather M Anderson & Farshid Vahid, 2010. "VARs, Cointegration and Common Cycle Restrictions," Monash Econometrics and Business Statistics Working Papers 14/10, Monash University, Department of Econometrics and Business Statistics.

  29. Athanasopoulos, G. & Anderson, H.M. & Vahid, F., 2001. "Capturing the Shape of Business Cycles with Nonlinear Autoregressive Leading Indicator Models," Monash Econometrics and Business Statistics Working Papers 7/01, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Harding, Don & Pagan, Adrian, 2001. "Extracting, Using and Analysing Cyclical Information," MPRA Paper 15, University Library of Munich, Germany.
    2. Elalaoui, Aicha, 2014. "Identifying and characterizing the business cycle: the case of Morocco," MPRA Paper 56811, University Library of Munich, Germany, revised May 2014.

  30. Issler, João Victor & Vahid, Farshid, 2001. "The missing link: using the NBER recessions indicator to construct coincident and leading indices of economic activity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 429, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. Osmani Teixeira de Carvalho Guillén & João Victor Issler & George Athanasopoulos, 2005. "Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 15/05, Monash University, Department of Econometrics and Business Statistics.
    2. João Victor Issler & Hilton Hostalacio Notini & Claudia Fontoura Rodrigues, 2013. "Constructing coincident and leading indices of economic activity for the Brazilian economy," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 43-65.
    3. Izabel Cristina de Lima & Sueli Moro & Frederico Gonzaga Jayme Junior, 2006. "Ciclos E Previsão Cíclica: Um Modelo De Indicadores Antecedentes Para A Economia Brasileira," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 13, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. G.C. Lim & Viet Hoang Nguyen, 2015. "Alternative Weighting Approaches To Computing Indexes Of Economic Activity," Journal of Economic Surveys, Wiley Blackwell, vol. 29(2), pages 287-300, April.
    5. Issler, João Victor & Notini, Hilton Hostalácio, 2015. "Estimating Brazilian monthly GDP: a state-space approach," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 774, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    6. Rachidi Kotchoni & Dalibor Stevanovic, 2020. "GDP Forecast Accuracy During Recessions," Working Papers 20-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    7. Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2013. "A general to specific approach for constructing composite business cycle indicators," Economic Modelling, Elsevier, vol. 33(C), pages 367-374.
    8. Aaron H. Anglin & Aaron F. McKenny & Jeremy C. Short, 2018. "The Impact of Collective Optimism on New Venture Creation and Growth: A Social Contagion Perspective," Entrepreneurship Theory and Practice, , vol. 42(3), pages 390-425, May.
    9. Rachidi Kotchoni & Dalibor Stevanovic, 2013. "Probability and Severity of Recessions," Cahiers de recherche 1341, CIRPEE.
    10. Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," Working Papers hal-04141569, HAL.
    11. Issler, Joao Victor & Notini, Hilton & Rodrigues, Claudia & Soares, Ana Flávia, 2013. "Constructing coincident indices of economic activity for the Latin American economy," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    12. Delalibera, Bruno Ricardo & Issler, João Victor & Branco, Roberto da Cunha Castello, 2017. "Using common features to investigate common growth cycles for BRICS Countries," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 784, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    13. Agne Reklaite, 2011. "Coincident, leading and recession indexes for the Lithuanian economy," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(1), pages 91-108, July.
    14. Fabio Araujo & Joao Victor Issler, 2005. "Estimating the Stochastic Discount Factor without a Utility Function," Computing in Economics and Finance 2005 202, Society for Computational Economics.
    15. Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner Piazza Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Artur Brasil Fialho Rodrigues, 2023. "Predicting Recessions in (almost) Real Time in a Big-data Setting," Working Papers Series 587, Central Bank of Brazil, Research Department.
    16. Matta Samer, 2015. "New Coincident and Leading Indexes for the Lebanese Economy," Review of Middle East Economics and Finance, De Gruyter, vol. 11(3), pages 277-303, December.
    17. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    18. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 650, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    19. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    20. Edda Claus & Chew Lian Chua & G. C. Lim, 2011. "Regional Indexes of Activity: Combining the Old with the New," Melbourne Institute Working Paper Series wp2011n15, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    21. Gaglianone, Wagner Piazza & Issler, João Victor, 2019. "Microfounded forecasting," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 813, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    22. Angelo Mont’Alverne Duarte & Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & João Victor Issler, 2020. "Commodity Prices and Global Economic Activity: a derived-demand approach," Working Papers Series 539, Central Bank of Brazil, Research Department.
    23. Ham, Hyuna & Ryu, Doojin & Webb, Robert I., 2022. "The effects of overnight events on daytime trading sessions," International Review of Financial Analysis, Elsevier, vol. 83(C).
    24. Cubadda, Gianluca & Hecq, Alain, 2003. "The Role of Common Cyclical Features for Coincident and Leading Indexes Building," Economics & Statistics Discussion Papers esdp03002, University of Molise, Department of Economics.
    25. Alain Hecq, 2005. "Should we really care about building business cycle coincident indexes!," Applied Economics Letters, Taylor & Francis Journals, vol. 12(3), pages 141-144.
    26. 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.
    27. He, Qing & Guo, Yongxiu & Yu, Jishuang, 2020. "Nonlinear dynamics of gold and the dollar," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    28. Issler, João Victor & Notini, Hilton Hostalácio & Rodrigues, Claudia Oliveira da Fontoura, 2009. "Um indicador coincidente e antecedente da atividade econômica brasileira," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 695, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    29. Heij, C., 2007. "Improved forecasting with leading indicators: the principal covariate index," Econometric Institute Research Papers EI 2007-23, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  31. Farshid Vahid, 2000. "Clustering Regression Functions in a Panel," Econometric Society World Congress 2000 Contributed Papers 0251, Econometric Society.

    Cited by:

    1. Enrica De Cian & Elisa Lanzi & Roberto Roson, 2013. "Seasonal temperature variations and energy demand," Climatic Change, Springer, vol. 116(3), pages 805-825, February.

  32. Anderson, H.M. & Vahid, F., 2000. "Predicting the Probability of a Recession with Nonlinear Autoregressive Leading Indicator Models," Monash Econometrics and Business Statistics Working Papers 3/00, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    2. Michael P. Clements & David I. Harvey, 2010. "Forecast encompassing tests and probability forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 1028-1062.
    3. D R Osborn & P J Perez & M Sensier, 2005. "Business Cycle Linkages for the G7 Countries:Does the US Lead the World?," Centre for Growth and Business Cycle Research Discussion Paper Series 50, Economics, The University of Manchester.
    4. Huang, MeiChi, 2014. "Bubble-like housing boom–bust cycles: Evidence from the predictive power of households’ expectations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 2-16.
    5. Rachidi Kotchoni & Dalibor Stevanovic, 2020. "GDP Forecast Accuracy During Recessions," Working Papers 20-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    6. Aslanidis, Nektarios & Cipollini, Andrea, 2010. "Leading indicator properties of US high-yield credit spreads," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 145-156, March.
    7. Schrimpf, Andreas & Wang, Qingwei, 2010. "A reappraisal of the leading indicator properties of the yield curve under structural instability," International Journal of Forecasting, Elsevier, vol. 26(4), pages 836-857, October.
    8. Heather M. Anderson & George Athanasopoulos & Farshid Vahid, 2006. "Nonlinear autoregressive leading indicator models of output in G-7 countries," CAMA Working Papers 2006-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Laurent L. Pauwels & Andrey L. Vasnev, 2017. "Forecast combination for discrete choice models: predicting FOMC monetary policy decisions," Empirical Economics, Springer, vol. 52(1), pages 229-254, February.
    10. Rachidi Kotchoni & Dalibor Stevanovic, 2013. "Probability and Severity of Recessions," Cahiers de recherche 1341, CIRPEE.
    11. Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," Working Papers hal-04141569, HAL.
    12. Kevin Moran & Simplice Aime Nono, 2016. "Using Confidence Data to Forecast the Canadian Business Cycle," Cahiers de recherche 1606, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    13. Bruinshoofd, Allard & Candelon, Bertrand, 2005. "Nonlinear monetary policy in Europe: fact or myth?," Economics Letters, Elsevier, vol. 86(3), pages 399-403, March.
    14. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    15. Heather M. Anderson, 2002. "Choosing Lag Lengths in Nonlinear Dynamic Models," Monash Econometrics and Business Statistics Working Papers 21/02, Monash University, Department of Econometrics and Business Statistics.
    16. Lazzarini, S. G. & Madalozzo, R. C & Artes, R. & Siqueira, J. O., 2004. "Measuring trust: An experiment in Brazil," Insper Working Papers wpe_42, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    17. Adrian Pagan, 2013. "Patterns and Their Uses," NCER Working Paper Series 96, National Centre for Econometric Research.
    18. Clements, Michael P. & Galvao, Ana Beatriz, 2004. "A comparison of tests of nonlinear cointegration with application to the predictability of US interest rates using the term structure," International Journal of Forecasting, Elsevier, vol. 20(2), pages 219-236.
    19. Clements, Michael P. & Harvey, David I., 2011. "Combining probability forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 208-223, April.
    20. Nektarios Aslanidis & Andrea Cipollini, 2007. "Leading indicator properties of the US corporate spreads," Money Macro and Finance (MMF) Research Group Conference 2006 115, Money Macro and Finance Research Group.
    21. Adrian Pagan & Don Harding, 2011. "Econometric Analysis and Prediction of Recurrent Events," CREATES Research Papers 2011-33, Department of Economics and Business Economics, Aarhus University.
    22. Duarte, Agustin & Venetis, Ioannis A. & Paya, Ivan, 2005. "Predicting real growth and the probability of recession in the Euro area using the yield spread," International Journal of Forecasting, Elsevier, vol. 21(2), pages 261-277.
    23. Taylor, Larry W., 2009. "Using the Haar wavelet transform in the semiparametric specification of time series," Economic Modelling, Elsevier, vol. 26(2), pages 392-403, March.
    24. Aslanidis, Nektarios & Hartigan, Luke, 2021. "Is the assumption of constant factor loadings too strong in practice?," Economic Modelling, Elsevier, vol. 98(C), pages 100-108.
    25. M Sensier & D R Osborn & N Öcal, 2002. "Asymmetric Interest Rate Effects for the UK Real Economy," Centre for Growth and Business Cycle Research Discussion Paper Series 10, Economics, The University of Manchester.
    26. Eraslan, Sercan & Nöller, Marvin, 2020. "Recession probabilities falling from the STARs," Discussion Papers 08/2020, Deutsche Bundesbank.
    27. Donayre, Luiggi, 2014. "Estimated Thresholds In The Response Of Output To Monetary Policy: Are Large Policy Changes Less Effective?," Macroeconomic Dynamics, Cambridge University Press, vol. 18(1), pages 41-64, January.
    28. Todd Henry & Peter C.B. Phillips, 2020. "Forecasting Economic Activity Using the Yield Curve: Quasi-Real-Time Applications for New Zealand, Australia and the US," Cowles Foundation Discussion Papers 2259, Cowles Foundation for Research in Economics, Yale University.
    29. Ana Beatriz C. Galvão, 2006. "Structural break threshold VARs for predicting US recessions using the spread," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 463-487, May.
    30. Ralf Becker & Denise Osborn, 2007. "Weighted smooth transition regressions," Economics Discussion Paper Series 0724, Economics, The University of Manchester.
    31. Dalu Zhang & Peter Moffatt, 2013. "Time series non-linearity in the real growth / recession-term spread relationship," University of East Anglia Applied and Financial Economics Working Paper Series 047, School of Economics, University of East Anglia, Norwich, UK..
    32. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
    33. Jamie L. Cross & Aubrey Poon & Wenying Yao & Dan Zhu, 2024. "A Constrained Dynamic Nelson-Siegel Model for Monetary Policy Analysis," Working Papers No 06/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

  33. Sarin, R. & Vahid, F., 1999. "Predicting how People Play Games: a Simple Dynamic Model of Choice," Monash Econometrics and Business Statistics Working Papers 12/99, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Anna Gunnthorsdottir & Amnon Rapoport, 2003. "The effect of sharing rules on group competition," Experimental 0307003, University Library of Munich, Germany.
    2. Ho, Teck H. & Camerer, Colin F. & Chong, Juin-Kuan, 2007. "Self-tuning experience weighted attraction learning in games," Journal of Economic Theory, Elsevier, vol. 133(1), pages 177-198, March.
    3. Nick Feltovich, 2000. "Reinforcement-Based vs. Belief-Based Learning Models in Experimental Asymmetric-Information," Econometrica, Econometric Society, vol. 68(3), pages 605-642, May.
    4. Mosquera, M.A. & Borm, P.E.M. & Fiestras-Janeiro, G. & Garcia-Jurado, I. & Voorneveld, M., 2005. "Characterizing Cautious Choice," Other publications TiSEM aeb14f8d-ebb8-4655-93d6-d, Tilburg University, School of Economics and Management.
    5. Ed Hopkins, 2000. "Two Competing Models of How People Learn in Games," Edinburgh School of Economics Discussion Paper Series 51, Edinburgh School of Economics, University of Edinburgh.
    6. Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2019. "Algorithmic Pricing What Implications for Competition Policy?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 155-171, August.
    7. Oechssler, Jörg & Schipper, Burkhard C., 2000. "Can You Guess the Game You're Playing?," Bonn Econ Discussion Papers 11/2000, University of Bonn, Bonn Graduate School of Economics (BGSE).
    8. Erev, Ido & Roth, Alvin E. & Slonim, Robert L. & Barron, Greg, 2002. "Predictive value and the usefulness of game theoretic models," International Journal of Forecasting, Elsevier, vol. 18(3), pages 359-368.
    9. Erhao Xie, 2019. "Monetary Payoff and Utility Function in Adaptive Learning Models," Staff Working Papers 19-50, Bank of Canada.
    10. Waltman, Ludo & Kaymak, Uzay, 2008. "Q-learning agents in a Cournot oligopoly model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3275-3293, October.
    11. Naoki Funai, 2013. "An Adaptive Learning Model in Coordination Games," Discussion Papers 13-14, Department of Economics, University of Birmingham.
    12. Alexander Smajgl, 2007. "Modelling evolving rules for the use of common-pool resources in an agent-based model," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 5(2), pages 56-80.
    13. Alexander Smajgl, 2004. "Modelling the effect of learning and evolving rules on the use of common-pool resources," Computing in Economics and Finance 2004 178, Society for Computational Economics.
    14. Ido Erev & Alvin Roth & Robert Slonim & Greg Barron, 2007. "Learning and equilibrium as useful approximations: Accuracy of prediction on randomly selected constant sum games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(1), pages 29-51, October.
    15. Pangallo, Marco & Heinrich, Torsten & Jang, Yoojin & Scott, Alex & Tarbush, Bassel & Wiese, Samuel & Mungo, Luca, 2021. "Best-Response Dynamics, Playing Sequences, And Convergence To Equilibrium In Random Games," INET Oxford Working Papers 2021-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    16. Gunnthorsdottir, Anna & Rapoport, Amnon, 2006. "Embedding social dilemmas in intergroup competition reduces free-riding," Organizational Behavior and Human Decision Processes, Elsevier, vol. 101(2), pages 184-199, November.
    17. Xie, Erhao, 2021. "Empirical properties and identification of adaptive learning models in behavioral game theory," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 798-821.
    18. Michele Lombardi & Kaname Miyagishima & Roberto Veneziani, 2016. "Liberal Egalitarianism and the Harm Principle," Economic Journal, Royal Economic Society, vol. 126(597), pages 2173-2196, November.
    19. Apesteguia, Jose, 2006. "Does information matter in the commons?: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 55-69, May.
    20. Rapoport, Amnon & Stein, William E. & Parco, James E. & Nicholas, Thomas E., 2003. "Equilibrium play and adaptive learning in a three-person centipede game," Games and Economic Behavior, Elsevier, vol. 43(2), pages 239-265, May.
    21. Aaron Foote & Maryam Gooyabadi & Nikhil Addleman, 2023. "Factors in Learning Dynamics Influencing Relative Strengths of Strategies in Poker Simulation," Games, MDPI, vol. 14(6), pages 1-16, November.
    22. David Cooper & Nick Feltovich & Alvin Roth & Rami Zwick, 2003. "Relative versus Absolute Speed of Adjustment in Strategic Environments: Responder Behavior in Ultimatum Games," Experimental Economics, Springer;Economic Science Association, vol. 6(2), pages 181-207, October.
    23. Rutstrom, E. Elizabet & Wilcox, Nathaniel, 2008. "Stated versus inferred beliefs: A methodological inquiry and experimental test," MPRA Paper 11852, University Library of Munich, Germany.
    24. Rutström, E. Elisabet & Wilcox, Nathaniel T., 2009. "Stated beliefs versus inferred beliefs: A methodological inquiry and experimental test," Games and Economic Behavior, Elsevier, vol. 67(2), pages 616-632, November.
    25. Dana Heller, 2000. "Parametric Adaptive Learning," Econometric Society World Congress 2000 Contributed Papers 1496, Econometric Society.
    26. Yechiam, Eldad & Busemeyer, Jerome R., 2008. "Evaluating generalizability and parameter consistency in learning models," Games and Economic Behavior, Elsevier, vol. 63(1), pages 370-394, May.
    27. Naoki Funai, 2019. "Convergence results on stochastic adaptive learning," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 68(4), pages 907-934, November.
    28. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    29. Naoki Funai, 2013. "An Adaptive Learning Model in Coordination Games," Games, MDPI, vol. 4(4), pages 1-22, November.
    30. Sarin, Rajiv, 1999. "Simple play in the Prisoner's Dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 40(1), pages 105-113, September.
    31. Vostroknutov, Alexander, 2012. "Non-probabilistic decision making with memory constraints," Economics Letters, Elsevier, vol. 117(1), pages 303-305.
    32. Farokhi, Farhad & Johansson, Karl H., 2015. "A piecewise-constant congestion taxing policy for repeated routing games," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 123-143.
    33. Stefano Balietti & Brennan Klein & Christoph Riedl, 2021. "Optimal design of experiments to identify latent behavioral types," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 772-799, September.
    34. Camerer, Colin F. & Ho, Teck-Hua & Chong, Juin-Kuan, 2002. "Sophisticated Experience-Weighted Attraction Learning and Strategic Teaching in Repeated Games," Journal of Economic Theory, Elsevier, vol. 104(1), pages 137-188, May.
    35. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.
    36. Semeshenko, Viktoriya & Gordon, Mirta B. & Nadal, Jean-Pierre, 2008. "Collective states in social systems with interacting learning agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(19), pages 4903-4916.

  34. Anderson, H.M. & Kwark, N.-S. & Vahid, F., 1999. "Does International Trade Synchronize Business Cycles?," Monash Econometrics and Business Statistics Working Papers 8/99, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Brian M. Doyle & Jon Faust, 2003. "Breaks in the variability and co-movement of G-7 economic growth," International Finance Discussion Papers 786, Board of Governors of the Federal Reserve System (U.S.).
    2. Spiliopoulos, Leonidas, 2010. "The determinants of macroeconomic volatility: A Bayesian model averaging approach," MPRA Paper 26832, University Library of Munich, Germany.
    3. Maria Bejan, 2007. "Some Business Cycle Consequences of Trade Agreements:The Case of the North American Free Trade Agreement," RSCAS Working Papers 2007/03, European University Institute.
    4. Herrera Hernandez, Jorge, 2004. "Business cycles in Mexico and the United States: Do they share common movements?," Journal of Applied Economics, Universidad del CEMA, vol. 7(2), pages 1-21, November.
    5. Mejía-Reyes, Pablo & Rendón-Rojas, Liliana & Vergara-González, Reyna & Aroca, Patricio, 2018. "International synchronization of the Mexican states business cycles: Explaining factors," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 278-288.
    6. Hou, Jia & Knaze, Jakub, 2019. "The Effect of Exchange Rate Regimes on Business Cycle Synchronization: A Robust Analysis," MPRA Paper 95182, University Library of Munich, Germany.
    7. Vatsa, Puneet, 2021. "Have Business Cycles Become More Synchronous After NAFTA?," American Business Review, Pompea College of Business, University of New Haven, vol. 24(1), pages 54-66, May.
    8. Norbert Fiess, "undated". "Business Cycle Synchronization and Regional Integration: A Case Study for Central America," Working Papers 2005_14, Business School - Economics, University of Glasgow.
    9. Lee, Hyun-Hoon & Huh, Hyeon-Seung & Harris, David, 2003. "The relative impact of the US and Japanese business cycles on the Australian economy," Japan and the World Economy, Elsevier, vol. 15(1), pages 111-129, January.
    10. Ioannis Tsamourgelis & Persa Paflioti & Thomas Vitsounis, 2013. "Seaports Activity (A)synchronicity, Trade Intensity and Business Cycle Convergence: A Panel Data Analysis," International Journal of Maritime, Trade & Economic Issues (IJMTEI), International Journal of Maritime, Trade & Economic Issues (IJMTEI), vol. 0(1), pages 67-92.
    11. Montalbano, Pierluigi, 2011. "Trade Openness and Developing Countries' Vulnerability: Concepts, Misconceptions, and Directions for Research," World Development, Elsevier, vol. 39(9), pages 1489-1502, September.
    12. Ferdinand Fichtner, 2003. "Germany and the European Business Cycle - An Analysis of Causal Relations in an International Real Business Cycle Model," IWP Discussion Paper Series 01/2003, Institute for Economic Policy, Cologne, Germany.
    13. Jorge Herrera Hernández, 2004. "Business cycles in Mexico and the United States: Do they share common movements?," Journal of Applied Economics, Universidad del CEMA, vol. 7, pages 303-323, November.
    14. Kose, M. Ayhan & Yi, Kei-Mu, 2006. "Can the standard international business cycle model explain the relation between trade and comovement?," Journal of International Economics, Elsevier, vol. 68(2), pages 267-295, March.
    15. Herrera Hernandez, Jorge, 2004. "Business cycles in Mexico and the United States: Do they share common movements?," Journal of Applied Economics, Universidad del CEMA, vol. 7(2), pages 1-21, November.
    16. Chiquiar Daniel & Ramos Francia Manuel, 2004. "Bilateral Trade and Business Cycle Synchronization: Evidence from Mexico and United States Manufacturing Industries," Working Papers 2004-05, Banco de México.
    17. M. Ayhan Kose & Kei-Mu Yi, 2002. "The trade comovement problem in international macroeconomics," Staff Reports 155, Federal Reserve Bank of New York.
    18. Marek Lubiński, 2007. "International Business Cycle," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 1(2), June.
    19. Maria Bejan, 2011. "Trade Agreements and International Comovements: the Case of NAFTA (North American Free Trade Agreement)," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(4), pages 667-685, October.
    20. Jia Hou & Jakub Knaze, 2022. "Exchange Rate Regimes and Business Cycle Synchronization," Open Economies Review, Springer, vol. 33(3), pages 523-564, July.

  35. Vahid, Farshid & Issler, João Victor, 1994. "Common cycles in macroeconomic aggregates," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 233, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2000. "Testing for Common Cyclical Features in Nonstationary Panel Data Models," CESifo Working Paper Series 248, CESifo.
    2. Ana María Cerro & José Pineda, 2002. "Latin American growth cycles. Empirical evidence: 1960 - 2000," Estudios de Economia, University of Chile, Department of Economics, vol. 29(1 Year 20), pages 89-108, June.
    3. Michel Beine & Bertrand Candelon & Alain Hecq, 2000. "Assessing a Perfect European Optimum Currency Area: A Common Cycles Approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(2), pages 115-132, June.
    4. Engle, Robert F. & Issler, Joao Victor, 1995. "Estimating common sectoral cycles," Journal of Monetary Economics, Elsevier, vol. 35(1), pages 83-113, February.

Articles

  1. Anderson, Heather M. & Gao, Jiti & Turnip, Guido & Vahid, Farshid & Wei, Wei, 2023. "Estimating the effect of an EU-ETS type scheme in Australia using a synthetic treatment approach," Energy Economics, Elsevier, vol. 125(C).
    See citations under working paper version above.
  2. Chen, Li & Gao, Jiti & Vahid, Farshid, 2022. "Global temperatures and greenhouse gases: A common features approach," Journal of Econometrics, Elsevier, vol. 230(2), pages 240-254.
    See citations under working paper version above.
  3. Heather Anderson & Giovanni Caggiano & Farshid Vahid & Benjamin Wong, 2020. "Sectoral Employment Dynamics in Australia and the COVID‐19 Pandemic," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 53(3), pages 402-414, September.

    Cited by:

    1. Ssebulime, Kurayish & Okumu, Ibrahim Mike & Bbaale, Edward, 2023. "The Changing Employment Landscape in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 11(4), September.

  4. Dumrongrittikul, Taya & Anderson, Heather & Vahid, Farshid, 2019. "The global effects of productivity gains in Asian emerging economies," Economic Modelling, Elsevier, vol. 83(C), pages 127-140.

    Cited by:

    1. Gnangnon, Sèna Kimm, 2020. "Aid for Trade flows and Poverty Reduction in Recipient-Countries," EconStor Preprints 213807, ZBW - Leibniz Information Centre for Economics.

  5. Panagiotelis, Anastasios & Athanasopoulos, George & Hyndman, Rob J. & Jiang, Bin & Vahid, Farshid, 2019. "Macroeconomic forecasting for Australia using a large number of predictors," International Journal of Forecasting, Elsevier, vol. 35(2), pages 616-633.
    See citations under working paper version above.
  6. Han Li & Colin O'hare & Farshid Vahid, 2017. "A Flexible Functional Form Approach To Mortality Modeling: Do We Need Additional Cohort Dummies?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(4), pages 357-367, 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.

  7. Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2017. "On weak identification in structural VARMA models," Economics Letters, Elsevier, vol. 156(C), pages 1-6.

    Cited by:

    1. Funovits, Bernd, 2024. "Identifiability and estimation of possibly non-invertible SVARMA Models: The normalised canonical WHF parametrisation," Journal of Econometrics, Elsevier, vol. 241(2).

  8. George Athanasopoulos & Donald S. Poskitt & Farshid Vahid & Wenying Yao, 2016. "Determination of Long‐run and Short‐run Dynamics in EC‐VARMA Models via Canonical Correlations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1100-1119, September.
    See citations under working paper version above.
  9. Shuping Shi & Abbas Valadkhani & Russell Smyth & Farshid Vahid, 2016. "Dating the Timeline of House Price Bubbles in Australian Capital Cities," The Economic Record, The Economic Society of Australia, vol. 92(299), pages 590-605, December.

    Cited by:

    1. Jean-Louis Bago & Koffi Akakpo & Imad Rherrad & Ernest Ouédraogo, 2021. "Volatility Spillover and International Contagion of Housing Bubbles," JRFM, MDPI, vol. 14(7), pages 1-14, June.
    2. Ye Chen & Peter C.B. Phillips & Shuping Shi, 2020. "Common Bubble Detection in Large Dimensional Financial Systems," Cowles Foundation Discussion Papers 2251, Cowles Foundation for Research in Economics, Yale University.
    3. Hjalmarsson, Erik & Österholm, Pär, 2019. "Heterogeneity in Households’ Expectations of Housing Prices – Evidence from Micro Data," Working Papers 2019:11, Örebro University, School of Business.
    4. Yang Hu, 2023. "A review of Phillips‐type right‐tailed unit root bubble detection tests," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 141-158, February.
    5. Pedersen, Thomas Quistgaard & Schütte, Erik Christian Montes, 2020. "Testing for explosive bubbles in the presence of autocorrelated innovations," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 207-225.
    6. Shuping Shi & Peter C.B. Phillips, 2020. "Diagnosing Housing Fever with an Econometric Thermometer," Cowles Foundation Discussion Papers 2248, Cowles Foundation for Research in Economics, Yale University.
    7. Zheng Zheng Li & Chi-Wei Su, 2023. "How does real estate market react to the iron ore boom in Australian capital cities?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 517-537, October.
    8. Esteve Vicente & Prats Maria A., 2021. "Structural Breaks and Explosive Behavior in the Long-Run: The Case of Australian Real House Prices, 1870–2020," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 72-84, January.
    9. Gomis-Porqueras, Pedro & Shi, Shuping & Tan, David, 2022. "Gold as a financial instrument," Journal of Commodity Markets, Elsevier, vol. 27(C).
    10. Peter C. B. Phillips & Shuping Shi, 2019. "Detecting Financial Collapse and Ballooning Sovereign Risk," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(6), pages 1336-1361, December.
    11. Shuping Shi & Arafat Rahman & Ben Zhe Wang, 2020. "Australian Housing Market Booms: Fundamentals or Speculation?☆," The Economic Record, The Economic Society of Australia, vol. 96(315), pages 381-401, December.
    12. Mikhail Stolbov & Maria Shchepeleva, 2023. "Sentiment-based indicators of real estate market stress and systemic risk: international evidence," Annals of Finance, Springer, vol. 19(3), pages 355-382, September.
    13. Yang Hu & Les Oxley, 2017. "Bubble Contagion: Evidence from Japan's Asset Price Bubble of the 1980-90s," Working Papers in Economics 17/20, University of Waikato.
    14. Wei-Fong Pan, 2019. "Detecting bubbles in China’s regional housing markets," Empirical Economics, Springer, vol. 56(4), pages 1413-1432, April.
    15. Andria C. Evripidou & David I. Harvey & Stephen J. Leybourne & Robert Sollis, 2022. "Testing for Co‐explosive Behaviour in Financial Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 624-650, June.
    16. Yang Hu & Les Oxley, 2016. "Are there Bubbles in Exchange Rates? Some New Evidence from G10 and Emerging Markets Countries," Working Papers in Economics 16/05, University of Waikato.
    17. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2019. "Asymmetric adjustment, non-linearity and housing price bubbles: New international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    18. Hansen, Jacob H. & Møller, Stig V. & Pedersen, Thomas Q. & Schütte, Christian M., 2024. "House price bubbles under the COVID-19 pandemic," Journal of Empirical Finance, Elsevier, vol. 75(C).
    19. Konstantin A. Kholodilin & Sebastian Kohl & Florian Müller, 2023. "Government-Made House Price Bubbles? Austerity, Homeownership, Rental, and Credit Liberalization Policies and the “Irrational Exuberance” on Housing Markets," Discussion Papers of DIW Berlin 2061, DIW Berlin, German Institute for Economic Research.
    20. Philip Inyeob Ji & Glenn Otto, 2015. "Explosive Behaviour in Australian Housing Markets: Rational Bubbles or Not?," Discussion Papers 2015-27, School of Economics, The University of New South Wales.
    21. Janusz Sobieraj & Dominik Metelski, 2021. "Testing Housing Markets for Episodes of Exuberance: Evidence from Different Polish Cities," JRFM, MDPI, vol. 14(9), pages 1-29, September.
    22. Benjamas Jirasakuldech & Riza Emekter & Thuy Bui, 2023. "Non-linear structures, chaos, and bubbles in U.S. regional housing markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 63-93, March.
    23. Vicente Esteve & María A. Prats, 2021. "Testing for rational bubbles in Australian housing market from a long-term perspective," Working Papers 2113, Department of Applied Economics II, Universidad de Valencia.
    24. Ye Chen & Jian Li & Qiyuan Li, 2023. "Seemingly Unrelated Regression Estimation for VAR Models with Explosive Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 910-937, August.
    25. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96847, University Library of Munich, Germany.
    26. Yang Hu & Les Oxley, 2018. "Bubbles in US regional house prices: evidence from house price–income ratios at the State level," Applied Economics, Taylor & Francis Journals, vol. 50(29), pages 3196-3229, June.
    27. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96705, University Library of Munich, Germany.
    28. Marek Bryx & Janusz Sobieraj & Dominik Metelski & Izabela Rudzka, 2021. "Buying vs. Renting a Home in View of Young Adults in Poland," Land, MDPI, vol. 10(11), pages 1-31, November.
    29. Song Shi & Vince Mangioni & Xin Janet Ge & Shanaka Herath & Fethi Rabhi & Rachida Ouysse, 2021. "House Price Forecasting from Investment Perspectives," Land, MDPI, vol. 10(10), pages 1-17, September.
    30. Chowdhury, Md Shahedur R. & Damianov, Damian S., 2024. "Uncertainty and bubbles in cryptocurrencies: Evidence from newly developed uncertainty indices," International Review of Financial Analysis, Elsevier, vol. 91(C).
    31. Glenn Otto, 2021. "Accounting for Longer‐Run Changes in Australian House Prices," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(3), pages 362-374, September.
    32. Baur, Dirk G. & Heaney, Richard, 2017. "Bubbles in the Australian housing market," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 113-126.
    33. Geoffrey Poitras & Giovanna Zanotti, 2018. "Housing Market Bubbles and Mortgage Contract Design: Implications for Mortgage Lenders and Households," JRFM, MDPI, vol. 11(3), pages 1-18, July.

  10. Valadkhani, Abbas & Smyth, Russell & Vahid, Farshid, 2015. "Asymmetric pricing of diesel at its source," Energy Economics, Elsevier, vol. 52(PA), pages 183-194.

    Cited by:

    1. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2018. "U.S. Diesel Fuel Price Responses To The Global Crude Oil Supply And Demand," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 1-25, December.
    2. Dugan, Michael T. & Turner, Elizabeth H. & Thompson, Mark A. & Murray, Susan M., 2017. "Measuring the financial impact of environmental regulations on the trucking industry," Research in Accounting Regulation, Elsevier, vol. 29(2), pages 152-158.
    3. Claudiu Tiberiu Albulescu & Mihai Ioan Mutascu, 2021. "Fuel price co-movements among France, Germany and Italy: A time-frequency investigation," Post-Print hal-03529585, HAL.
    4. Valadkhani, Abbas & Ghazanfari, Arezoo & Nguyen, Jeremy & Moradi-Motlagh, Amir, 2021. "The asymmetric effects of COVID19 on wholesale fuel prices in Australia," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 255-266.
    5. Valadkhani, Abbas & Smyth, Russell, 2017. "How do daily changes in oil prices affect US monthly industrial output?," Energy Economics, Elsevier, vol. 67(C), pages 83-90.
    6. Bragoudakis, Zacharias & Degiannakis, Stavros & Filis, George, 2020. "Oil and pump prices: Testing their asymmetric relationship in a robust way," Energy Economics, Elsevier, vol. 88(C).
    7. D. O. Olayungbo & T. A. Ojeyinka, 2022. "Crude oil prices pass-through to retail petroleum product prices in Nigeria: evidence from hidden cointegration approach," Economic Change and Restructuring, Springer, vol. 55(2), pages 951-972, May.
    8. Valadkhani, Abbas & Smyth, Russell, 2018. "Asymmetric responses in the timing, and magnitude, of changes in Australian monthly petrol prices to daily oil price changes," Energy Economics, Elsevier, vol. 69(C), pages 89-100.
    9. Zacharias Bragoudakis & Stavros Degiannakis & George Filis, 2019. "Oil and pump prices: is there any asymmetry in the Greek oil downstream sector?," Working Papers 268, Bank of Greece.
    10. Zhang, Wenbei & Luckert, Marty & Qiu, Feng, 2023. "Asymmetric price transmission and impulse responses from U.S. crude oil to jet fuel and diesel markets," Energy, Elsevier, vol. 283(C).
    11. Yan, Zichun & Tian, Fangzhu & Sun, Yuying & Wang, Shouyang, 2024. "A time-frequency-based interval decomposition ensemble method for forecasting gasoil prices under the trend of low-carbon development," Energy Economics, Elsevier, vol. 134(C).
    12. Cook, Steven & Fosten, Jack, 2019. "Replicating rockets and feathers," Energy Economics, Elsevier, vol. 82(C), pages 139-151.

  11. George Athanasopoulos & D. Poskitt & Farshid Vahid, 2012. "Two Canonical VARMA Forms: Scalar Component Models Vis-à-Vis the Echelon Form," Econometric Reviews, Taylor & Francis Journals, vol. 31(1), pages 60-83.
    See citations under working paper version above.
  12. Choe, Kwang-il & Choi, Pilsun & Nam, Kiseok & Vahid, Farshid, 2012. "Testing financial contagion on heteroskedastic asset returns in time-varying conditional correlation," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 271-291.

    Cited by:

    1. Mobeen Ur Rehman, 2016. "Financial Contagion in EFA Markets in Crisis Periods: A Multivariate GARCH Dynamic Conditional Correlation Framework," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 21(2), pages 121-151, July-Dec.
    2. Priya Malhotra & Pankaj Sinha, 2024. "Balanced Funds in India Amid COVID-19 Crisis: Spreader of Financial Contagion?," IIM Kozhikode Society & Management Review, , vol. 13(1), pages 7-24, January.
    3. EnDer Su & Ving-Vunk Mak & Po-Yuk So, 2024. "Exploring Three-style Return Comovements and Contagion Using a Correlation Decomposition GARCH Model," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2271-2305, June.
    4. Renée Fry-McKibbin & Cody Hsiao & Chrismin Tang, 2014. "Contagion and Global Financial Crises: Lessons from Nine Crisis Episodes," Open Economies Review, Springer, vol. 25(3), pages 521-570, July.
    5. Liu, Hsiang-Hsi & Wang, Teng-Kun & Li, Weny, 2019. "Dynamical Volatility and Correlation among US Stock and Treasury Bond Cash and Futures Markets in Presence of Financial Crisis: A Copula Approach," Research in International Business and Finance, Elsevier, vol. 48(C), pages 381-396.
    6. Chen, Wang & Wei, Yu & Lang, Qiaoqi & Lin, Yu & Liu, Maojuan, 2014. "Financial market volatility and contagion effect: A copula–multifractal volatility approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 289-300.
    7. Ahmad, Wasim & Sehgal, Sanjay & Bhanumurthy, N.R., 2013. "Eurozone crisis and BRIICKS stock markets: Contagion or market interdependence?," Economic Modelling, Elsevier, vol. 33(C), pages 209-225.
    8. Wasim Ahmad & N.R. Bhanumurthy & Sanjay Sehgal, 2014. "The Eurozone crisis and its contagion effects on the European stock markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 31(3), pages 325-352, July.
    9. Wang, Haiying & Yuan, Ying & Li, Yiou & Wang, Xunhong, 2021. "Financial contagion and contagion channels in the forex market: A new approach via the dynamic mixture copula-extreme value theory," Economic Modelling, Elsevier, vol. 94(C), pages 401-414.
    10. Jana Vychytilová, 2014. "Intermarket Technical Research of the U.S. Capital Markets and the Czech Stock Market Performance," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 62(6), pages 1509-1519.
    11. Zhang, Yi & Zhou, Long & Chen, Yajiao & Liu, Fang, 2022. "The contagion effect of jump risk across Asian stock markets during the Covid-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).

  13. Athanasopoulos, George & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," Journal of Econometrics, Elsevier, vol. 164(1), pages 116-129, September.
    See citations under working paper version above.
  14. Anderson, Heather M. & Dungey, Mardi & Osborn, Denise R. & Vahid, Farshid, 2011. "Financial integration and the construction of historical financial data for the Euro Area," Economic Modelling, Elsevier, vol. 28(4), pages 1498-1509, July.
    See citations under working paper version above.
  15. Masha F. Somi & James R. G. Butler & Farshid Vahid & Joseph D. Njau & Salim Abdulla, 2009. "Household responses to health risks and shocks: A study from rural Tanzania raises some methodological issues," Journal of International Development, John Wiley & Sons, Ltd., vol. 21(2), pages 200-211.

    Cited by:

    1. Séverin Aimé Blanchard Ouadika, 2020. "Health shocks and vulnerability to poverty in Congo," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-8, December.
    2. Kumara, Ajantha Sisira & Samaratunge, Ramanie, 2017. "Impact of ill-health on household consumption in Sri Lanka: Evidence from household survey data," Social Science & Medicine, Elsevier, vol. 195(C), pages 68-76.
    3. sowmya, 2015. "Health Shocks and Short-Term Consumption GrowthAuthor-Name: Sowmya Dhanaraj," Working Papers 2015-112, Madras School of Economics,Chennai,India.
    4. Subhalaxmi Mohapatra, 2022. "Health Expenditures, Health Infrastructure and Health Status in SAARC Countries: A Panel Data Analysis," Vikalpa: The Journal for Decision Makers, , vol. 47(3), pages 205-216, September.
    5. Jacob Novignon & Solomon Olakojo & Justice Nonvignon, 2012. "The effects of public and private health care expenditure on health status in sub-Saharan Africa: new evidence from panel data analysis," Health Economics Review, Springer, vol. 2(1), pages 1-8, December.
    6. Esso-Hanam Atake, 2018. "Health shocks in Sub-Saharan Africa: are the poor and uninsured households more vulnerable?," Health Economics Review, Springer, vol. 8(1), pages 1-13, December.
    7. Xiaoyu Wang & Chunan Wang, 2020. "How Does Health Status Affect Marginal Utility of Consumption? Evidence from China," IJERPH, MDPI, vol. 17(7), pages 1-20, March.
    8. Anushree S. Panikkassery, 2020. "Impact of Out of Pocket Health Expenditure on Consumption Pattern of Below Poverty Line Households in India," Millennial Asia, , vol. 11(1), pages 27-53, April.
    9. Pheeha Morudu & Umakrishnan Kollamparambil, 2020. "Health shocks, medical insurance and household vulnerability: Evidence from South Africa," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-17, February.
    10. Rama Pal, 2013. "Out-of-Pocket Health Expenditure: Impact on the Consumption of Indian Households," Oxford Development Studies, Taylor & Francis Journals, vol. 41(2), pages 258-279, June.
    11. Manoj K. Pandey, 2013. "Elderly's Health Shocks and Household's Ex-ante Poverty in India," ASARC Working Papers 2013-01, The Australian National University, Australia South Asia Research Centre.
    12. Rolle Ahuru Remi & Osaze Daniel & Henry Akpojubaro Efegbere, 2020. "What Role Does Health Play in Enhancing Labour Productivity in Nigeria?," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 6(2), pages 102-111, June.
    13. Zhaohua Zhang & Yuxi Luo & Derrick Robinson, 2018. "Reducing Food Poverty and Vulnerability among the Rural Elderly with Chronic Diseases: The Role of the New Rural Pension Scheme in China," IJERPH, MDPI, vol. 15(6), pages 1-20, June.
    14. Subhalaxmi Mohapatra, 2017. "Health inequity and health outcome: a causal linkage study of low and middle income countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2475-2488, November.
    15. Taha Zaghdoudi & Abdelaziz Hakimi, 2017. "Does external debt- poverty relationship confirm the debtoverhang hypothesis for developing counties?," Economics Bulletin, AccessEcon, vol. 37(2), pages 653-665.
    16. Sophie Mitra & Michael Palmer & Daniel Mont & Nora Groce, 2016. "Can Households Cope with Health Shocks in Vietnam?," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 888-907, July.
    17. Hilaire Gbodja Houeninvo & Venant Cossi Celestin Quenum & Melain Modeste Senou, 2023. "Out- Of- Pocket health expenditure and household consumption patterns in Benin: Is there a crowding out effect?," Health Economics Review, Springer, vol. 13(1), pages 1-20, December.

  16. Gould, Phillip G. & Koehler, Anne B. & Ord, J. Keith & Snyder, Ralph D. & Hyndman, Rob J. & Vahid-Araghi, Farshid, 2008. "Forecasting time series with multiple seasonal patterns," European Journal of Operational Research, Elsevier, vol. 191(1), pages 207-222, November.

    Cited by:

    1. Huanyin Su & Shanglin Mo & Shuting Peng, 2023. "Short-Term Prediction of Time-Varying Passenger Flow for Intercity High-Speed Railways: A Neural Network Model Based on Multi-Source Data," Mathematics, MDPI, vol. 11(16), pages 1-16, August.
    2. Taylor, James W. & Snyder, Ralph D., 2012. "Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing," Omega, Elsevier, vol. 40(6), pages 748-757.
    3. Barrow, Devon & Kourentzes, Nikolaos, 2018. "The impact of special days in call arrivals forecasting: A neural network approach to modelling special days," European Journal of Operational Research, Elsevier, vol. 264(3), pages 967-977.
    4. Reisen, Valdério A. & Zamprogno, Bartolomeu & Palma, Wilfredo & Arteche, Josu, 2014. "A semiparametric approach to estimate two seasonal fractional parameters in the SARFIMA model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 98(C), pages 1-17.
    5. Arora, Siddharth & Taylor, James W., 2016. "Forecasting electricity smart meter data using conditional kernel density estimation," Omega, Elsevier, vol. 59(PA), pages 47-59.
    6. Luis Fernando Melo Velandia & Daniel Parra Amado, 2014. "Efectos calendario sobre la producción industrial en Colombia," Borradores de Economia 820, Banco de la Republica de Colombia.
    7. Shukur, Osamah Basheer & Lee, Muhammad Hisyam, 2015. "Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA," Renewable Energy, Elsevier, vol. 76(C), pages 637-647.
    8. Moreno, Manuel & Novales, Alfonso & Platania, Federico, 2019. "Long-term swings and seasonality in energy markets," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1011-1023.
    9. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2022. "Enhancing capacity planning through forecasting: An integrated tool for maintenance of complex product systems," International Journal of Forecasting, Elsevier, vol. 38(1), pages 178-192.
    10. Corberán-Vallet, Ana & Bermúdez, José D. & Vercher, Enriqueta, 2011. "Forecasting correlated time series with exponential smoothing models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 252-265.
    11. Chethana Dharmawardane & Ville Sillanpää & Jan Holmström, 2021. "High-frequency forecasting for grocery point-of-sales: intervention in practice and theoretical implications for operational design," Operations Management Research, Springer, vol. 14(1), pages 38-60, June.
    12. Huanyin Su & Shanglin Mo & Huizi Dai & Jincong Shen, 2024. "Short-Term Prediction of Origin–Destination Passenger Flow in Urban Rail Transit Systems with Multi-Source Data: A Deep Learning Method Fusing High-Dimensional Features," Mathematics, MDPI, vol. 12(20), pages 1-21, October.
    13. Sharifzadeh, Mahdi & Sikinioti-Lock, Alexandra & Shah, Nilay, 2019. "Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 513-538.
    14. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    15. Pramesti Getut, 2023. "Parameter least-squares estimation for time-inhomogeneous Ornstein–Uhlenbeck process," Monte Carlo Methods and Applications, De Gruyter, vol. 29(1), pages 1-32, March.
    16. Andrew Harvey & Alessandra Luati, 2014. "Filtering With Heavy Tails," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1112-1122, September.
    17. Kim, Myung Suk, 2013. "Modeling special-day effects for forecasting intraday electricity demand," European Journal of Operational Research, Elsevier, vol. 230(1), pages 170-180.
    18. Behm, Svenia & Haupt, Harry, 2020. "Predictability of hourly nitrogen dioxide concentration," Ecological Modelling, Elsevier, vol. 428(C).
    19. Nystrup, Peter & Lindström, Erik & Møller, Jan K. & Madsen, Henrik, 2021. "Dimensionality reduction in forecasting with temporal hierarchies," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1127-1146.
    20. Jose Juan Caceres-Hernandez & Gloria Martin-Rodriguez & Jonay Hernandez-Martin, 2022. "A proposal for measuring and comparing seasonal variations in hourly economic time series," Empirical Economics, Springer, vol. 62(4), pages 1995-2021, April.
    21. Hong Wang & Guangyu Long & Jianxing Liao & Yan Xu & Yan Lv, 2022. "A new hybrid method for establishing point forecasting, interval forecasting, and probabilistic forecasting of landslide displacement," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 1479-1505, March.
    22. Zhang, Bohan & Kang, Yanfei & Panagiotelis, Anastasios & Li, Feng, 2023. "Optimal reconciliation with immutable forecasts," European Journal of Operational Research, Elsevier, vol. 308(2), pages 650-660.
    23. Arora, Siddharth & Taylor, James W., 2018. "Rule-based autoregressive moving average models for forecasting load on special days: A case study for France," European Journal of Operational Research, Elsevier, vol. 266(1), pages 259-268.
    24. Mauro Bernardi & Francesco Lisi, 2020. "Point and Interval Forecasting of Zonal Electricity Prices and Demand Using Heteroscedastic Models: The IPEX Case," Energies, MDPI, vol. 13(23), pages 1-34, November.
    25. Kong, Xiangyu & Li, Chuang & Wang, Chengshan & Zhang, Yusen & Zhang, Jian, 2020. "Short-term electrical load forecasting based on error correction using dynamic mode decomposition," Applied Energy, Elsevier, vol. 261(C).
    26. Barrow, Devon K., 2016. "Forecasting intraday call arrivals using the seasonal moving average method," Journal of Business Research, Elsevier, vol. 69(12), pages 6088-6096.
    27. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    28. Lin, Yao-San & Li, Der-Chiang, 2010. "The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems," European Journal of Operational Research, Elsevier, vol. 207(1), pages 121-130, November.
    29. Lazos, Dimitris & Sproul, Alistair B. & Kay, Merlinde, 2014. "Optimisation of energy management in commercial buildings with weather forecasting inputs: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 587-603.
    30. Ramli, Azizul Azhar & Watada, Junzo & Pedrycz, Witold, 2011. "Real-time fuzzy regression analysis: A convex hull approach," European Journal of Operational Research, Elsevier, vol. 210(3), pages 606-617, May.
    31. Jang-yeop Kim & Kyung Sup Kim, 2018. "Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand," Sustainability, MDPI, vol. 10(7), pages 1-27, July.
    32. Xu, Paiheng & Zhang, Rong & Deng, Yong, 2017. "A novel weight determination method for time series data aggregation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 42-55.
    33. Oscar Trull & J. Carlos Garc'ia-D'iaz & Angel Peir'o-Signes, 2024. "mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters," Papers 2402.10982, arXiv.org.
    34. Grzegorz Dudek, 2021. "Short-Term Load Forecasting Using Neural Networks with Pattern Similarity-Based Error Weights," Energies, MDPI, vol. 14(11), pages 1-18, May.
    35. Taylor, James W., 2010. "Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles," International Journal of Forecasting, Elsevier, vol. 26(4), pages 627-646, October.
    36. Carrizosa, Emilio & Olivares-Nadal, Alba V. & Ramírez-Cobo, Pepa, 2013. "Time series interpolation via global optimization of moments fitting," European Journal of Operational Research, Elsevier, vol. 230(1), pages 97-112.
    37. Aviral Kumar Tiwari & Claudiu T Albulescu & Phouphet Kyophilavong, 2014. "A comparison of different forecasting models of the international trade in India," Economics Bulletin, AccessEcon, vol. 34(1), pages 420-429.
    38. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
    39. Taylor, James W., 2010. "Triple seasonal methods for short-term electricity demand forecasting," European Journal of Operational Research, Elsevier, vol. 204(1), pages 139-152, July.
    40. Corberán-Vallet, Ana & Bermúdez, José D. & Vercher, Enriqueta, 2011. "Forecasting correlated time series with exponential smoothing models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 252-265, April.
    41. Ding, Jia & Wang, Maolin & Ping, Zuowei & Fu, Dongfei & Vassiliadis, Vassilios S., 2020. "An integrated method based on relevance vector machine for short-term load forecasting," European Journal of Operational Research, Elsevier, vol. 287(2), pages 497-510.
    42. Mauro Bernardi & Lea Petrella, 2015. "Multiple seasonal cycles forecasting model: the Italian electricity demand," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 671-695, November.
    43. Posch, Konstantin & Truden, Christian & Hungerländer, Philipp & Pilz, Jürgen, 2022. "A Bayesian approach for predicting food and beverage sales in staff canteens and restaurants," International Journal of Forecasting, Elsevier, vol. 38(1), pages 321-338.
    44. Taylor, James W., 2008. "An evaluation of methods for very short-term load forecasting using minute-by-minute British data," International Journal of Forecasting, Elsevier, vol. 24(4), pages 645-658.
    45. Adam Clements & Stan Hurn & Zili Li, 2014. "Forecasting day-ahead electricity load using a multiple equation time series approach," NCER Working Paper Series 103, National Centre for Econometric Research, revised 06 May 2015.

  17. Athanasopoulos, George & Vahid, Farshid, 2008. "VARMA versus VAR for Macroeconomic Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 237-252, April.
    See citations under working paper version above.
  18. George Athanasopoulos & Farshid Vahid, 2008. "A complete VARMA modelling methodology based on scalar components," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(3), pages 533-554, May.
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  19. Choe, Kwang-Il & Nam, Kiseok & Vahid, Farshid, 2007. "Necessity of negative serial correlation for mean-reversion of stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(4), pages 576-583, September.

    Cited by:

    1. Kauko, Karlo, 2010. "The feasibility of through-the-cycle ratings," Bank of Finland Research Discussion Papers 14/2010, Bank of Finland.

  20. George Athanasopoulos & Heather M. Anderson & Farshid Vahid, 2007. "Nonlinear autoregressive leading indicator models of output in G-7 countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 63-87.
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  21. Anderson, Heather M. & Vahid, Farshid, 2007. "Forecasting the Volatility of Australian Stock Returns: Do Common Factors Help?," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 76-90, January.
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  22. Anderson, Heather M. & Victor Issler, Joao & Vahid, Farshid, 2006. "Common features," Journal of Econometrics, Elsevier, vol. 132(1), pages 1-5, May.

    Cited by:

    1. Osmani Teixeira de Carvalho Guillén & João Victor Issler & George Athanasopoulos, 2005. "Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 15/05, Monash University, Department of Econometrics and Business Statistics.
    2. Fabio Araujo & Joao Victor Issler, 2005. "Estimating the Stochastic Discount Factor without a Utility Function," Computing in Economics and Finance 2005 202, Society for Computational Economics.
    3. Narayan, Paresh Kumar & Narayan, Seema & Smyth, Russell, 2011. "Energy consumption at business cycle horizons: The case of the United States," Energy Economics, Elsevier, vol. 33(2), pages 161-167, March.
    4. Hecq, Alain & Palm, Franz C. & Urbain, Jean-Pierre, 2006. "Common cyclical features analysis in VAR models with cointegration," Journal of Econometrics, Elsevier, vol. 132(1), pages 117-141, May.
    5. Håvard Hungnes, 2012. "Testing for co-non-linearity," Discussion Papers 699, Statistics Norway, Research Department.

  23. Issler, Joao Victor & Vahid, Farshid, 2006. "The missing link: using the NBER recession indicator to construct coincident and leading indices of economic activity," Journal of Econometrics, Elsevier, vol. 132(1), pages 281-303, May.
    See citations under working paper version above.
  24. Farshid Vahid & Pushkar Maitra, 2006. "The effect of household characteristics on living standards in South Africa 1993-1998: a quantile regression analysis with sample attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 999-1018.

    Cited by:

    1. Graham J. McKee & Steven G. Rivkin & Katharine R.E. Sims, 2010. "Disruption, Achievement and the Heterogeneous Benefits of Smaller Classes," NBER Working Papers 15812, National Bureau of Economic Research, Inc.
    2. Martine Mariotti & Juergen Meinecke, 2009. "Nonparametric Bounds on Returns to Education in South Africa: Overcoming Ability and Selection Bias," ANU Working Papers in Economics and Econometrics 2009-510, Australian National University, College of Business and Economics, School of Economics.
    3. Matthew Harding & Carlos Lamarche, 2018. "A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment," Papers 1808.03364, arXiv.org.
    4. Quang Tran, Tuyen & Anh Tran, Tai & The Tran, Nu & Thi Nguyen, Hai, 2018. "Education and the livelihood of households in the Northwest Region, Vietnam," MPRA Paper 90414, University Library of Munich, Germany, revised 17 May 2018.
    5. Bassol3, Leandre & Essama-Nssah, B. & Paul,Saumik, 2010. "Accounting for heterogeneity in growth incidence in Cameroon," Policy Research Working Paper Series 5464, The World Bank.
    6. Essama-Nssah, B. & Bassole, Leandre, 2010. "A counterfactual analysis of the poverty impact of economic growth in Cameroon," Policy Research Working Paper Series 5249, The World Bank.

  25. Heather M. Anderson & Farshid Vahid, 2005. "Nonlinear Correlograms and Partial Autocorrelograms," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 957-982, December.
    See citations under working paper version above.
  26. Rajiv Sarin & Farshid Vahid, 2004. "Strategy Similarity and Coordination," Economic Journal, Royal Economic Society, vol. 114(497), pages 506-527, July.
    See citations under working paper version above.
  27. George Athanasopoulos & Farshid Vahid, 2003. "Statistical Inference and Changes in Income Inequality in Australia," The Economic Record, The Economic Society of Australia, vol. 79(247), pages 412-424, December.
    See citations under working paper version above.
  28. Vahid, Farshid & Issler, Joao Victor, 2002. "The importance of common cyclical features in VAR analysis: a Monte-Carlo study," Journal of Econometrics, Elsevier, vol. 109(2), pages 341-363, August.
    See citations under working paper version above.
  29. Issler, Joao Victor & Vahid, Farshid, 2001. "Common cycles and the importance of transitory shocks to macroeconomic aggregates," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 449-475, June.

    Cited by:

    1. Athanasopoulos, George & Guillen, Osmani Teixeira Carvalho & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 713, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. Guillen, Osmani Teixeira Carvalho & Hecq, Alain & Issler, João Victor & Saraiva, Diogo Vinícius Menezes, 2013. "Forecasting multivariate time series under present-value-model short- and long-run co-movement restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 742, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    3. Osmani Teixeira de Carvalho Guillén & João Victor Issler & George Athanasopoulos, 2005. "Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 15/05, Monash University, Department of Econometrics and Business Statistics.
    4. James M. Nason & Byron G. Scott & Elizabeth C. Wakerly, 2004. "Common trends and common cycles in Canada: who knew so much has been going on?," FRB Atlanta Working Paper 2004-5, Federal Reserve Bank of Atlanta.
    5. Hecq, Alain & Issler, João Victor, 2012. "A Common-feature approach for testing present-value restrictions with financial data," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 728, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    6. Granger, Clive W. J. & Terasvirta, Timo & Patton, Andrew J., 2003. "Common factors in conditional distributions for Bivariate time series," LSE Research Online Documents on Economics 24854, London School of Economics and Political Science, LSE Library.
    7. Granger, Clive W.J. & Teräsvirta, Timo & Patton, Andrew J, 2002. "Common Factors in Conditional Distributions," University of California at San Diego, Economics Working Paper Series qt3bd1n1x5, Department of Economics, UC San Diego.
    8. James M. Nason & George A. Slotsve, 2004. "Along the New Keynesian Phillips curve with nominal and real rigidities," FRB Atlanta Working Paper 2004-9, Federal Reserve Bank of Atlanta.
    9. Balcilar, Mehmet & Gupta, Rangan & Wohar, Mark E., 2017. "Common cycles and common trends in the stock and oil markets: Evidence from more than 150years of data," Energy Economics, Elsevier, vol. 61(C), pages 72-86.
    10. Giorgio Calcagnini & Germana Giombini & Giuseppe Travaglini, 2021. "The Productivity Gap Among Major European Countries, USA and Japan," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 59-78, March.
    11. Paresh Kumar Narayan & Seema Narayan, 2008. "Do Permanent Shocks Explain Income Levels? A Common Cycle–Common Trend Analysis Of Regional Income Levels For China," Pacific Economic Review, Wiley Blackwell, vol. 13(5), pages 656-662, December.
    12. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
    13. Narayan, Paresh Kumar, 2008. "Estimating exchange rate responsiveness to shocks," Review of Financial Economics, Elsevier, vol. 17(4), pages 338-351, December.
    14. Alain W. HECQ, 2005. "Common Trends and Common Cycles in Latin America: A 2-step vs an Iterative Approach," Computing in Economics and Finance 2005 258, Society for Computational Economics.
    15. Gianluca Cubadda & Alain Hecq & Elisa Voisin, 2022. "Detecting common bubbles in multivariate mixed causal-noncausal models," Papers 2207.11557, arXiv.org.
    16. Gianluca Cubadda & Alain Hecq & Sean Telg, 2018. "Detecting Co-Movements in Noncausal Time Series," CEIS Research Paper 430, Tor Vergata University, CEIS, revised 23 Apr 2018.
    17. Paresh Kumar Narayan & Seema Narayan, 2008. "The role of permanent and transitory shocks in explaining international health expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1171-1186, October.
    18. Narayan, Paresh Kumar, 2008. "Understanding the importance of permanent and transitory shocks at business cycle horizons for the UK," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2879-2888.
    19. María de Lourdes RODRÍGUEZ-ESPINOSA & Ramón A. CASTILLO-PONCE, 2017. "Synchronization of Economic Activity between Dollarized Economies and the United States. The cases of Ecuador and El Salvador," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 17(1), pages 89-100.
    20. Herrera Hernandez, Jorge, 2004. "Business cycles in Mexico and the United States: Do they share common movements?," Journal of Applied Economics, Universidad del CEMA, vol. 7(2), pages 1-21, November.
    21. Paresh Kumar Narayan, 2008. "Estimating exchange rate responsiveness to shocks," Review of Financial Economics, John Wiley & Sons, vol. 17(4), pages 338-351, December.
    22. Osmani Teixeira de Carvalho de Guillén & Carlos Hamilton Vasconcelos Araújo, 2005. "O Mecanismo De Transmissão Da Taxa De Câmbio Para Índices De Preços: Uma Análise Vecm Para O Brasil," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 034, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    23. Jun Ma & Mark E. Wohar, 2013. "An Unobserved Components Model that Yields Business and Medium‐Run Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(7), pages 1351-1373, October.
    24. Tu, Yundong & Yao, Qiwei & Zhang, Rongmao, 2020. "Error-correction factor models for high-dimensional cointegrated time series," LSE Research Online Documents on Economics 106994, London School of Economics and Political Science, LSE Library.
    25. Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2006. "VARs, common factors and the empirical validation of equilibrium business cycle models," Journal of Econometrics, Elsevier, vol. 132(1), pages 257-279, May.
    26. Gomes, Fábio Augusto Reis & Issler, João Victor, 2014. "Testing consumption optimality using aggregate data," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 752, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    27. Issler, João Victor & Vahid, Farshid, 2002. "The missing link: using the NBER recession indicator to construct coincident and leading indices economic activity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 450, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    28. Delalibera, Bruno Ricardo & Issler, João Victor & Branco, Roberto da Cunha Castello, 2017. "Using common features to investigate common growth cycles for BRICS Countries," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 784, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    29. Fabio Araujo & Joao Victor Issler, 2005. "Estimating the Stochastic Discount Factor without a Utility Function," Computing in Economics and Finance 2005 202, Society for Computational Economics.
    30. Guillén, Osmani Teixeira de Carvalho & Issler, João Victor & Franco-Neto, Afonso Arinos de Mello, 2014. "On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century and beyond," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 62-78.
    31. Alain Hecq & Elisa Voisin, 2019. "Predicting crashes in oil prices during the COVID-19 pandemic with mixed causal-noncausal models," Papers 1911.10916, arXiv.org, revised May 2022.
    32. Chen, Xiaoshan & Mills, Terence C., 2009. "Evaluating growth cycle synchronisation in the EU," Economic Modelling, Elsevier, vol. 26(2), pages 342-351, March.
    33. Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner Piazza Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Artur Brasil Fialho Rodrigues, 2023. "Predicting Recessions in (almost) Real Time in a Big-data Setting," Working Papers Series 587, Central Bank of Brazil, Research Department.
    34. Neri, Marcelo Côrtes, 2014. "Brazil's middle classes," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 759, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    35. Narayan, Paresh Kumar & Narayan, Seema & Smyth, Russell, 2011. "Energy consumption at business cycle horizons: The case of the United States," Energy Economics, Elsevier, vol. 33(2), pages 161-167, March.
    36. Hecq, Alain & Palm, Franz C. & Urbain, Jean-Pierre, 2006. "Common cyclical features analysis in VAR models with cointegration," Journal of Econometrics, Elsevier, vol. 132(1), pages 117-141, May.
    37. Castillo, Ramón & Flores, Carlos & Rodríguez, María, 2013. "The relative importance of the service sector in the mexican economy: A time series Analysis," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 80, pages 133-151, June.
    38. Franco Neto, Afonso Arinos de Mello & Issler, João Victor & Guillen, Osmani Teixeira Carvalho, 2006. "The welfare cost of macroeconomic uncertainty in the post-war period," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 624, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    39. Ana María Cerro & José Pineda, 2002. "Latin American growth cycles. Empirical evidence: 1960 - 2000," Estudios de Economia, University of Chile, Department of Economics, vol. 29(1 Year 20), pages 89-108, June.
    40. Carlos Hamilton Vasconcelos Araújo & Osmani Teixeira de Carvalho de Guillén, 2002. "Componentes de Curto e Longo Prazo das Taxas de Juros no Brasil," Working Papers Series 55, Central Bank of Brazil, Research Department.
    41. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 650, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    42. Gutierrez, Carlos Enrique Carrasco & Gomes, Fábio Augusto Reis, 2009. "Evidence on Common Features and Business Cycle Synchronization in Mercosur," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
    43. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    44. Osmani Teixeira de Carvalho Guillény & João Victor Issler & Afonso Arinos de Mello Franco-Neto, 2012. "On the Welfare Costs of Business-Cycle Fluctuations and Economic-Growth Variation in the 20th Century," Working Papers Series 284, Central Bank of Brazil, Research Department.
    45. Jorge Herrera Hernández & Ramón A. Castillo Ponce, 2003. "Trends and cycles: How important are long- and short-run restictions? The case of Mexico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 18(1), pages 133-155.
    46. Gomes, Fábio Augusto Reis & Issler, João Victor & Salvato, Márcio Antônio, 2005. "Principais Características do Consumo de Duráveis no Brasil e Testes de Separabilidade entre Duráveis e Não-Duráveis," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 59(1), January.
    47. Ramon A. CASTILLO-PONCE & Maria de Lourdes RODRIGUEZ-ESPINOSA & Erika GARCIA-MENESES, 2011. "The Importance Of Macroeconomic Conditions On Remittances In The Long-Run And In The Short-Run: The Case Of Mexico," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 11(1).
    48. Gaglianone, Wagner Piazza & Issler, João Victor, 2019. "Microfounded forecasting," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 813, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    49. Angelo Mont’Alverne Duarte & Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & João Victor Issler, 2020. "Commodity Prices and Global Economic Activity: a derived-demand approach," Working Papers Series 539, Central Bank of Brazil, Research Department.
    50. James M. Nason & Donald G. Paterson & Ronald A. Shearer, 2003. "Bulk commodities and the Liverpool and London markets of the mid-19th century," FRB Atlanta Working Paper 2003-29, Federal Reserve Bank of Atlanta.
    51. Marco Centoni & Gianluca Cubadda, 2011. "Modelling Comovements of Economic Time Series: A Selective Survey," CEIS Research Paper 215, Tor Vergata University, CEIS, revised 26 Oct 2011.
    52. Gomes, Fábio Augusto Reis & Issler, João Victor, 2009. "Testing the optimality of aggregate consumption decisions: is there rule-of-thumb behavior?," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 682, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    53. Paresh Kumar Narayan, 2011. "Are shocks to tourism transitory at business cycle horizons?," Applied Economics, Taylor & Francis Journals, vol. 43(16), pages 2071-2077.
    54. Christoph Schleicher & Francisco Barillas, 2005. "Common Trends and Common Cycles in Canadian Sectoral Output," Computing in Economics and Finance 2005 214, Society for Computational Economics.
    55. Jorge Herrera Hernández, 2004. "Business cycles in Mexico and the United States: Do they share common movements?," Journal of Applied Economics, Universidad del CEMA, vol. 7, pages 303-323, November.
    56. Ramon A. CASTILLO PONCE & Ramon de Jesus RAMIREZ ACOSTA, 2008. "Economic Integration In North America," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(2), pages 111-122.
    57. 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.
    58. Narayan, Paresh Kumar, 2008. "An investigation of the behaviour of Australia's business cycle," Economic Modelling, Elsevier, vol. 25(4), pages 676-683, July.
    59. Herrera Hernandez, Jorge, 2004. "Business cycles in Mexico and the United States: Do they share common movements?," Journal of Applied Economics, Universidad del CEMA, vol. 7(2), pages 1-21, November.
    60. Paresh Narayan, 2008. "Common Trends and Common Cycles in Per Capita GDP: The Case of the G7 Countries, 1870–2001," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(3), pages 280-290, August.
    61. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2001. "Testing for Common Cyclical Features in Var Models with Cointegration," CESifo Working Paper Series 451, CESifo.
    62. Cesar R. Sobrino, 2021. "Analyzing the Role of the Permanent and Temporary Shocks in Peru Using the Co-Movements Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(11), pages 111-111, November.
    63. Vahid, Farshid & Issler, Joao Victor, 2002. "The importance of common cyclical features in VAR analysis: a Monte-Carlo study," Journal of Econometrics, Elsevier, vol. 109(2), pages 341-363, August.
    64. Márcio Antônio Salvato & João Victor Issler & Angelo Mont'alverne Duarte, 2005. "Are Business Cycles All Alike In Europe?," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 031, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    65. 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.
    66. Justyna Wróblewska, 2012. "Bayesian Analysis of Weak Form Polynomial Reduced Rank Structures in VEC Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(4), pages 253-267, December.
    67. Ramón A. Castillo Ponce & Jorge Herrera Hernández, 2005. "Efecto del gasto público sobre el gasto privado en México," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 20(2), pages 173-196.
    68. Valentina Corradi & Norman R. Swanson, 2003. "The Effect of Data Transformation on Common Cycle, Cointegration and Unit Root Tests: Monte Carlo Results and a Simple Test," Departmental Working Papers 200322, Rutgers University, Department of Economics.
    69. Calcagnini, Giorgio & Travaglini, Giuseppe, 2014. "A time series analysis of labor productivity. Italy versus the European countries and the U.S," Economic Modelling, Elsevier, vol. 36(C), pages 622-628.
    70. Carlos Enrique Carrasco Gutierrez & Fábio Augusto Reis Gomes, 2006. "Evidence About Mercosur’S Business Cycle," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 179, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    71. Matos, Paulo Rogério Faustino & Bueno, Amadeus & Trompieri, Nicolino, 2014. "Análise de Integração Financeira na América do Sul," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(2), June.
    72. Issler, João Victor & Vahid, Farshid, 2001. "The missing link: using the NBER recessions indicator to construct coincident and leading indices of economic activity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 429, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    73. Ivo da Rocha Lima Filho, Roberto, 2019. "Does PPI lead CPI IN Brazil?," International Journal of Production Economics, Elsevier, vol. 214(C), pages 73-79.
    74. Bilgili, Faik, 2006. "Random walk, excess smoothness or excess sensitivity? Evidence from literature and an application for Turkish economy," MPRA Paper 24086, University Library of Munich, Germany, revised 14 Jul 2010.
    75. Issler, João Victor & Guillen, Osmani Teixeira Carvalho, 2003. "On the welfare costs of business cycles in the 20th century," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 481, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    76. Rita D'Ecclesia & Mauro Costantini, 2006. "Comovements and correlations in international stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 567-582.
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    78. Osmani Teixeira de Carvalho Guillén & Alain Hecq & João Victor Issler & Diogo Saraiva, 2013. "Time Series under Present-Value-Model Short- and Long-run Co-movement Restrictions," Working Papers Series 330, Central Bank of Brazil, Research Department.

  30. Sarin, Rajiv & Vahid, Farshid, 2001. "Predicting How People Play Games: A Simple Dynamic Model of Choice," Games and Economic Behavior, Elsevier, vol. 34(1), pages 104-122, January.
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  31. Heather M. Anderson & Farshid Vahid, 2001. "Market Architecture and Nonlinear Dynamics of Australian Stock and Futures Indices," Australian Economic Papers, Wiley Blackwell, vol. 40(4), pages 541-566, December.
    See citations under working paper version above.
  32. Anderson, Heather M. & Vahid, Farshid, 2001. "Predicting The Probability Of A Recession With Nonlinear Autoregressive Leading-Indicator Models," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 482-505, September.
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    1. Steffen Huck & Rajiv Sarin, 2000. "Players with Limited Memory," Econometric Society World Congress 2000 Contributed Papers 1645, Econometric Society.
    2. Sarin, R. & Vahid, F., 1999. "Predicting how People Play Games: a Simple Dynamic Model of Choice," Monash Econometrics and Business Statistics Working Papers 12/99, Monash University, Department of Econometrics and Business Statistics.
    3. Philippe Jehiel & Aviman Satpathy, 2024. "Learning to be Indifferent in Complex Decisions: A Coarse Payoff-Assessment Model," Papers 2412.09321, arXiv.org, revised Dec 2024.
    4. N. Williams, 2002. "Stability and Long Run Equilibrium in Stochastic Fictitious Play," Princeton Economic Theory Working Papers cbeeeb49cc8afc83f125df5a8, David K. Levine.
    5. Chris Papageorgiou & Nick Feltovich, 2001. "An Experimental Study of Statistical Discrimination by Employers," Departmental Working Papers 2001-07, Department of Economics, Louisiana State University.
    6. Grimm, Veronika & Mengel, Friederike, 2012. "An experiment on learning in a multiple games environment," Journal of Economic Theory, Elsevier, vol. 147(6), pages 2220-2259.
    7. Maxwell Pak & Bing Xu, 2016. "Generalized reinforcement learning in perfect-information games," International Journal of Game Theory, Springer;Game Theory Society, vol. 45(4), pages 985-1011, November.
    8. Philippe Jehiel & Dov Samet, 2001. "Learning To Play Games In Extensive Form By Valuation," Levine's Working Paper Archive 391749000000000010, David K. Levine.
    9. Yan Chen & Robert Gazzale, 2004. "When Does Learning in Games Generate Convergence to Nash Equilibria? The Role of Supermodularity in an Experimental Setting," American Economic Review, American Economic Association, vol. 94(5), pages 1505-1535, December.
    10. Chen, Yan & Takeuchi, Kan, 2010. "Multi-object auctions with package bidding: An experimental comparison of Vickrey and iBEA," Games and Economic Behavior, Elsevier, vol. 68(2), pages 557-579, March.
    11. Mosquera, M.A. & Borm, P.E.M. & Fiestras-Janeiro, G. & Garcia-Jurado, I. & Voorneveld, M., 2005. "Characterizing Cautious Choice," Other publications TiSEM aeb14f8d-ebb8-4655-93d6-d, Tilburg University, School of Economics and Management.
    12. Yan Chen & Laura Razzolini & Theodore Turocy, 2007. "Congestion allocation for distributed networks: an experimental study," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(1), pages 121-143, October.
    13. Ralph-C. Bayer & Hang Wu, 2013. "Do We Learn from Our Own Experience or from Observing Others?," School of Economics and Public Policy Working Papers 2013-21, University of Adelaide, School of Economics and Public Policy.
    14. Thomas Brenner & Nicolaas J. Vriend, 2003. "On the Behavior of Proposers in Ultimatum Games," CEEL Working Papers 0304, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    15. Erhao Xie, 2019. "Monetary Payoff and Utility Function in Adaptive Learning Models," Staff Working Papers 19-50, Bank of Canada.
    16. Ed Hopkins, 2002. "Adaptive Learning Models of Consumer Behaviour (first version)," Edinburgh School of Economics Discussion Paper Series 80, Edinburgh School of Economics, University of Edinburgh.
    17. Scott E. Carrell & Mark Hoekstra & James E. West, 2015. "The Impact of Intergroup Contact on Racial Attitudes and Revealed Preferences," NBER Working Papers 20940, National Bureau of Economic Research, Inc.
    18. Waltman, Ludo & Kaymak, Uzay, 2008. "Q-learning agents in a Cournot oligopoly model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3275-3293, October.
    19. Naoki Funai, 2013. "An Adaptive Learning Model in Coordination Games," Discussion Papers 13-14, Department of Economics, University of Birmingham.
    20. Williams, Noah, 2022. "Learning and equilibrium transitions: Stochastic stability in discounted stochastic fictitious play," Journal of Economic Dynamics and Control, Elsevier, vol. 145(C).
    21. Schuster, Stephan, 2010. "Network Formation with Adaptive Agents," MPRA Paper 27388, University Library of Munich, Germany.
    22. Ed Hopkins, 2006. "Adaptive Learning Models of Consumer Behaviour," Levine's Bibliography 122247000000000658, UCLA Department of Economics.
    23. Oyarzun, Carlos & Sarin, Rajiv, 2012. "Mean and variance responsive learning," Games and Economic Behavior, Elsevier, vol. 75(2), pages 855-866.
    24. Brit Grosskopf & Rajiv Sarin & Elizabeth Watson, 2015. "An experiment on case-based decision making," Theory and Decision, Springer, vol. 79(4), pages 639-666, December.
    25. Xie, Erhao, 2021. "Empirical properties and identification of adaptive learning models in behavioral game theory," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 798-821.
    26. Ed Hopkins & Martin Posch, 2003. "Attainability of Boundary Points under Reinforcement Learning," Levine's Working Paper Archive 506439000000000350, David K. Levine.
    27. Chen, Yan & Khoroshilov, Yuri, 2003. "Learning under limited information," Games and Economic Behavior, Elsevier, vol. 44(1), pages 1-25, July.
    28. Alanyali, Murat, 2010. "A note on adjusted replicator dynamics in iterated games," Journal of Mathematical Economics, Elsevier, vol. 46(1), pages 86-98, January.
    29. Alina Ferecatu & Arnaud De Bruyn, 2022. "Understanding Managers’ Trade-Offs Between Exploration and Exploitation," Marketing Science, INFORMS, vol. 41(1), pages 139-165, January.
    30. Rajiv Sarin & Hyun Chang Yi, 2020. "A Model of Satisficing Behaviour," Working Papers 2020-21, Economic Research Institute, Bank of Korea.
    31. Sawa, Ryoji & Wu, Jiabin, 2018. "Prospect dynamics and loss dominance," Games and Economic Behavior, Elsevier, vol. 112(C), pages 98-124.
    32. Ralph-C. Bayer & Elke Renner & Rupert Sausgruber, 2009. "Confusion and Reinforcement Learning in Experimental Public Goods Games," Working Papers 2009-22, Faculty of Economics and Statistics, Universität Innsbruck.
    33. Funai Naoki, 2014. "An Adaptive Learning Model with Foregone Payoff Information," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 14(1), pages 149-176, January.
    34. Aaron Foote & Maryam Gooyabadi & Nikhil Addleman, 2023. "Factors in Learning Dynamics Influencing Relative Strengths of Strategies in Poker Simulation," Games, MDPI, vol. 14(6), pages 1-16, November.
    35. Brit Grosskopf & Ido Erev & Eldad Yechiam, 2006. "Foregone with the Wind: Indirect Payoff Information and its Implications for Choice," International Journal of Game Theory, Springer;Game Theory Society, vol. 34(2), pages 285-302, August.
    36. Dana Heller, 2000. "Parametric Adaptive Learning," Econometric Society World Congress 2000 Contributed Papers 1496, Econometric Society.
    37. Yechiam, Eldad & Busemeyer, Jerome R., 2008. "Evaluating generalizability and parameter consistency in learning models," Games and Economic Behavior, Elsevier, vol. 63(1), pages 370-394, May.
    38. Cho, In-Koo & Matsui, Akihiko, 2005. "Learning aspiration in repeated games," Journal of Economic Theory, Elsevier, vol. 124(2), pages 171-201, October.
    39. Naoki Funai, 2019. "Convergence results on stochastic adaptive learning," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 68(4), pages 907-934, November.
    40. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    41. Naoki Funai, 2013. "An Adaptive Learning Model in Coordination Games," Games, MDPI, vol. 4(4), pages 1-22, November.
    42. John Duffy & Ed Hopkins, 2001. "Learning, Information and Sorting in Market Entry Games: Theory and Evidence," Edinburgh School of Economics Discussion Paper Series 78, Edinburgh School of Economics, University of Edinburgh.
    43. Chen, Yan, 2003. "An experimental study of serial and average cost pricing mechanisms," Journal of Public Economics, Elsevier, vol. 87(9-10), pages 2305-2335, September.
    44. Iris Lorscheid & Bernd-Oliver Heine & Matthias Meyer, 2012. "Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 22-62, March.
    45. Sarin, Rajiv, 1999. "Simple play in the Prisoner's Dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 40(1), pages 105-113, September.
    46. Vostroknutov, Alexander, 2012. "Non-probabilistic decision making with memory constraints," Economics Letters, Elsevier, vol. 117(1), pages 303-305.
    47. Atanasios Mitropoulos, 2001. "On the Measurement of the Predictive Success of Learning Theories in Repeated Games," Experimental 0110001, University Library of Munich, Germany.
    48. Vostroknutov, Alexander, 2005. "Non-Probabilistic Decision Making with Memory Constraints," MPRA Paper 2653, University Library of Munich, Germany, revised Jul 2007.
    49. Sobel, Joel, 2000. "Economists' Models of Learning," Journal of Economic Theory, Elsevier, vol. 94(2), pages 241-261, October.
    50. Funai, Naoki, 2022. "Reinforcement learning with foregone payoff information in normal form games," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 638-660.
    51. Friedman, Eric & Shor, Mikhael & Shenker, Scott & Sopher, Barry, 2004. "An experiment on learning with limited information: nonconvergence, experimentation cascades, and the advantage of being slow," Games and Economic Behavior, Elsevier, vol. 47(2), pages 325-352, May.
    52. Sarin, Rajiv, 2000. "Decision Rules with Bounded Memory," Journal of Economic Theory, Elsevier, vol. 90(1), pages 151-160, January.
    53. Kirman, Alan P. & Vriend, Nicolaas J., 2001. "Evolving market structure: An ACE model of price dispersion and loyalty," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 459-502, March.
    54. Mitropoulos, Atanasios, 2001. "Learning under minimal information: An experiment on mutual fate control," Journal of Economic Psychology, Elsevier, vol. 22(4), pages 523-557, August.
    55. Wu, Hang & Bayer, Ralph-C, 2015. "Learning from inferred foregone payoffs," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 445-458.
    56. John A. List & Michael K. Price (ed.), 2013. "Handbook on Experimental Economics and the Environment," Books, Edward Elgar Publishing, number 12964.
    57. Atanasios Mitropoulos, 2001. "Little Information, Efficiency, and Learning - An Experimental Study," Game Theory and Information 0110002, University Library of Munich, Germany.
    58. Marco Sahm & Robert K. von Weizsäcker & Robert K. von Weizsäcker, 2014. "Reason, Intuition, and Time," CESifo Working Paper Series 5134, CESifo.
    59. Stephan Kroll & John A. List & Charles F. Mason, 2013. "The prisoner’s dilemma as intergroup game: an experimental investigation," Chapters, in: John A. List & Michael K. Price (ed.), Handbook on Experimental Economics and the Environment, chapter 16, pages 458-481, Edward Elgar Publishing.
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  34. Anderson, Heather M. & Vahid, Farshid, 1998. "Testing multiple equation systems for common nonlinear components," Journal of Econometrics, Elsevier, vol. 84(1), pages 1-36, May.

    Cited by:

    1. Christian Gourieroux & Joann Jasiak, 1999. "Nonlinear Persistence and Copersistence," Working Papers 2000_1, York University, Department of Economics.
    2. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    3. Aparicio, Felipe M. & García, Ana, 2004. "A range unit root test," DES - Working Papers. Statistics and Econometrics. WS ws041104, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Athanasopoulos, George & Guillen, Osmani Teixeira Carvalho & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 713, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    5. Bonciani, Dario, 2015. "Estimating the effects of uncertainty over the business cycle," MPRA Paper 65921, University Library of Munich, Germany.
    6. Danilo Leiva-Leon & Luis Uzeda, 2020. "Endogenous Time Variation in Vector Autoregressions," Staff Working Papers 20-16, Bank of Canada.
    7. David Harvey & Terence Mills, 2005. "Evidence for common features in G7 macroeconomic time series," Applied Economics, Taylor & Francis Journals, vol. 37(2), pages 165-175.
    8. Kiani, K.M., 2009. "Neural Networks to Detect Nonlinearities in Time Series: Analysis of Business Cycle in France and the United Kingdom," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 9(1).
    9. Ubilava, David, 2014. "On the Relationship between Financial Instability and Economic Performance: Stressing the Business of Nonlinear Modelling," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170222, Agricultural and Applied Economics Association.
    10. George Athanasopoulos & Farshid Vahid, 2008. "A complete VARMA modelling methodology based on scalar components," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(3), pages 533-554, May.
    11. Anderson, Heather M. & Ramsey, James B., 2002. "U.S. and Canadian industrial production indices as coupled oscillators," Journal of Economic Dynamics and Control, Elsevier, vol. 26(1), pages 33-67, January.
    12. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
    13. Nachatchapong Kaewsompong & Songsak Sriboonchitta & Prasert Chaitip & Pathairat Pastpipatkul, 2012. "Econometric modeling of the relationship among macroeconomic variables of Thailand: Smooth transition autoregressive regression model," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 1(4), pages 21-38, December.
    14. Franses Philip Hans & Paap Richard, 2013. "Common large innovations across nonlinear time series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 251-263, May.
    15. Omay, Tolga & Takay Araz, Bahar & Ilalan, Deniz, 2011. "The effects of terrorist activities on foreign direct investment: nonlinear Evidence," MPRA Paper 31015, University Library of Munich, Germany.
    16. Bahar Araz-Takay & K. Peren Arin & Tolga Omay, 2009. "The Endogenous And Non-Linear Relationship Between Terrorism And Economic Performance: Turkish Evidence," Defence and Peace Economics, Taylor & Francis Journals, vol. 20(1), pages 1-10.
    17. Bildirici, Melike & Alp, Aykaç, 2008. "The Relationship Between Wages and Productivity: TAR Unit Root and TAR Cointegration Approach," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 5(1), pages 93-110.
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    19. Nowak, Sylwia & Anderson, Heather M., 2014. "How does public information affect the frequency of trading in airline stocks?," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 26-38.
    20. D R Osborn & P J Perez & M Sensier, 2005. "Business Cycle Linkages for the G7 Countries:Does the US Lead the World?," Centre for Growth and Business Cycle Research Discussion Paper Series 50, Economics, The University of Manchester.
    21. Javier Ordóñez & Hector Sala & José I. Silva, 2010. "Oil price shocks and labor market fluctuations," Working Papers wpdea1005, Department of Applied Economics at Universitat Autonoma of Barcelona.
    22. Richards, Gordon R., 2000. "Reconciling econophysics with macroeconomic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 282(1), pages 325-335.
    23. Mehmet Balcilar & David Roubaud & Ojonugwa Usman & Mark E. Wohar, 2021. "Testing the asymmetric effects of exchange rate pass‐through in BRICS countries: Does the state of the economy matter?," The World Economy, Wiley Blackwell, vol. 44(1), pages 188-233, January.
    24. Khurshid M. Kiani, 2007. "Asymmetric Business Cycle Fluctuations and Contagion Effects in G7 Countries," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(3), pages 237-253, December.
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    37. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Fed’s unconventional monetary policy and risk spillover in the US financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 42-52.
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    45. Bucci, Andrea & Palomba, Giulio & Rossi, Eduardo, 2023. "The role of uncertainty in forecasting volatility comovements across stock markets," Economic Modelling, Elsevier, vol. 125(C).
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    59. M. J. Herrerias & Javier Ordoñez, 2011. "If the Unites States sneezes, does the world need paracetamol?," Working Papers 2011/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    60. Tim M Christensen & Stan Hurn & Adrian Pagan, 2009. "Detecting Common Dynamics in Transitory Components," NCER Working Paper Series 49, National Centre for Econometric Research.
    61. Markku Lanne, 2006. "Nonlinear dynamics of interest rate and inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1157-1168.
    62. Khurshid M. Kiani, 2009. "Asymmetries in Macroeconomic Time Series in Eleven Asian Economies," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(1), pages 37-54, April.
    63. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2001. "Testing for Common Cyclical Features in Var Models with Cointegration," CESifo Working Paper Series 451, CESifo.
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    66. Demetrescu, Matei & Leppin, Julian Sebastian & Reitz, Stefan, 2017. "Homogenous vs. heterogenous transition functions in smooth transition regressions: A LM-type test," Kiel Working Papers 2094, Kiel Institute for the World Economy (IfW Kiel).
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    68. Engle, Robert F. & Marcucci, Juri, 2006. "A long-run Pure Variance Common Features model for the common volatilities of the Dow Jones," Journal of Econometrics, Elsevier, vol. 132(1), pages 7-42, May.
    69. Mehmet Balcilar & David Roubaud & Ojonugwa Usman & Mark E. Wohar, 2019. "Testing the Asymmetric Effects of Exchange Rate and Oil Price Pass-Through in BRICS Countries: Does the state of the economy matter?," Working Papers 15-49, Eastern Mediterranean University, Department of Economics.
    70. Michel Beine & Bertrand Candelon & Alain Hecq, 2000. "Assessing a Perfect European Optimum Currency Area: A Common Cycles Approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(2), pages 115-132, June.
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    74. Issler, João Victor & Vahid, Farshid, 2001. "The missing link: using the NBER recessions indicator to construct coincident and leading indices of economic activity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 429, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    75. Li, Dao & He, Changli, 2012. "Testing Common Nonlinear Features in Nonlinear Vector Autoregressive Models," Working Papers 2012:7, Örebro University, School of Business.
    76. Heather M Anderson & Farshid Vahid, 2010. "VARs, Cointegration and Common Cycle Restrictions," Monash Econometrics and Business Statistics Working Papers 14/10, Monash University, Department of Econometrics and Business Statistics.
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    78. Candelon, Bertrand & Hecq, Alain & Verschoor, Willem F.C., 2005. "Measuring common cyclical features during financial turmoil: Evidence of interdependence not contagion," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1317-1334, December.
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  35. Anderson, Heather M. & Vahid, Farshid, 1998. "On the pooling of cross-sectional and time-series data in the presence of heteroskedasticity," Economics Letters, Elsevier, vol. 60(3), pages 291-296, September.

    Cited by:

    1. Wan, Zijing & Wei, Fulong & Peng, Jiale & Deng, Chao & Ding, Siqi & Xu, Dongwei & Luo, Xiaobing, 2023. "Application of physical model-based machine learning to the temperature prediction of electronic device in oil-gas exploration logging," Energy, Elsevier, vol. 282(C).

  36. Anderson, Heather M & Vahid, Farshid, 1997. "On the Correspondence between Individual and Aggregate Food Consumption Functions: Evidence from the USA and the Netherlands: Reply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(5), pages 503-507, Sept.-Oct.

    Cited by:

    1. Bruce W. Hamilton, 2001. "Using Engel's Law to Estimate CPI Bias," American Economic Review, American Economic Association, vol. 91(3), pages 619-630, June.
    2. Wang, Zijun & Bessler, David A, 2002. "The Homogeneity Restriction and Forecasting Performance of VAR-Type Demand Systems: An Empirical Examination of US Meat Consumption," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(3), pages 193-206, April.
    3. Anderson, Heather M. & Vahid, Farshid, 1998. "On the pooling of cross-sectional and time-series data in the presence of heteroskedasticity," Economics Letters, Elsevier, vol. 60(3), pages 291-296, September.
    4. Bernt P. Stigum, 2000. "Rationality in Econometrics," Econometric Society World Congress 2000 Contributed Papers 0747, Econometric Society.
    5. Giorgio Fagiolo, 2001. "Engel Curves Specification in an Artificial Model of Consumption Dynamics with Socially Evolving Preferences," LEM Papers Series 2001/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  37. Ramanathan, Ramu & Engle, Robert & Granger, Clive W. J. & Vahid-Araghi, Farshid & Brace, Casey, 1997. "Shorte-run forecasts of electricity loads and peaks," International Journal of Forecasting, Elsevier, vol. 13(2), pages 161-174, June.

    Cited by:

    1. Elamin, Niematallah & Fukushige, Mototsugu, 2018. "Modeling and forecasting hourly electricity demand by SARIMAX with interactions," Energy, Elsevier, vol. 165(PB), pages 257-268.
    2. Ohtsuka, Yoshihiro & Oga, Takashi & Kakamu, Kazuhiko, 2010. "Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2721-2735, November.
    3. Rob J Hyndman & Shu Fan, 2008. "Density forecasting for long-term peak electricity demand," Monash Econometrics and Business Statistics Working Papers 6/08, Monash University, Department of Econometrics and Business Statistics.
    4. Harding, Matthew & Kettler, Kyle & Lamarche, Carlos & Ma, Lala, 2023. "The (alleged) environmental and social benefits of dynamic pricing," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 574-593.
    5. Hasnain Iftikhar & Josue E. Turpo-Chaparro & Paulo Canas Rodrigues & Javier Linkolk López-Gonzales, 2023. "Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique," Energies, MDPI, vol. 16(18), pages 1-23, September.
    6. Arthur Thomas & Olivier Massol & Benoît Sévi, 2020. "How are Day-Ahead Prices Informative for Predicting the Next Day’s Consumption of Natural Gas ?," Working Papers hal-03178474, HAL.
    7. Roulston, M.S. & Kaplan, D.T. & Hardenberg, J. & Smith, L.A., 2003. "Using medium-range weather forcasts to improve the value of wind energy production," Renewable Energy, Elsevier, vol. 28(4), pages 585-602.
    8. Cho, Haeran & Goude, Yannig & Brossat, Xavier & Yao, Qiwei, 2013. "Modeling and forecasting daily electricity load curves: a hybrid approach," LSE Research Online Documents on Economics 49634, London School of Economics and Political Science, LSE Library.
    9. Rong Chen & John L. Harris & Jun M. Liu & Lon-Mu Liu, 2006. "A semi-parametric time series approach in modeling hourly electricity loads," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(8), pages 537-559.
    10. Do, Linh Phuong Catherine & Lin, Kuan-Heng & Molnár, Peter, 2016. "Electricity consumption modelling: A case of Germany," Economic Modelling, Elsevier, vol. 55(C), pages 92-101.
    11. Tristan Launay & Anne Philippe & Sophie Lamarche, 2015. "Construction of an informative hierarchical prior for a small sample with the help of historical data and application to electricity load forecasting," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(2), pages 361-385, June.
    12. Webel, Karsten & Smyk, Anna, 2023. "Towards seasonal adjustment of infra-monthly time series with JDemetra+," Discussion Papers 24/2023, Deutsche Bundesbank.
    13. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    14. Jahanpour, Ehsan & Ko, Hoo Sang & Nof, Shimon Y., 2016. "Collaboration protocols for sustainable wind energy distribution networks," International Journal of Production Economics, Elsevier, vol. 182(C), pages 496-507.
    15. Nuno Ornelas Martins & Ricardo Morais, 2015. "The influence of critical realism on managerial prediction," Working Papers de Gestão (Management Working Papers) 02, Católica Porto Business School, Universidade Católica Portuguesa.
    16. Soares, Lacir Jorge & Souza, Leonardo Rocha, 2006. "Forecasting electricity demand using generalized long memory," International Journal of Forecasting, Elsevier, vol. 22(1), pages 17-28.
    17. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
    18. Darbellay, Georges A. & Slama, Marek, 2000. "Forecasting the short-term demand for electricity: Do neural networks stand a better chance?," International Journal of Forecasting, Elsevier, vol. 16(1), pages 71-83.
    19. Wang, Pu & Liu, Bidong & Hong, Tao, 2016. "Electric load forecasting with recency effect: A big data approach," International Journal of Forecasting, Elsevier, vol. 32(3), pages 585-597.
    20. Torgeir Ericson, 2006. "Time-differentiated pricing and direct load control of residential electricity consumption," Discussion Papers 461, Statistics Norway, Research Department.
    21. Haldrup, Niels & Nielsen, Morten Orregaard, 2006. "A regime switching long memory model for electricity prices," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 349-376.
    22. Ismail Shah & Hasnain Iftikhar & Sajid Ali & Depeng Wang, 2019. "Short-Term Electricity Demand Forecasting Using Components Estimation Technique," Energies, MDPI, vol. 12(13), pages 1-17, July.
    23. Møller, Niels Framroze & Møller Andersen, Frits, 2015. "An econometric analysis of electricity demand response to price changes at the intra-day horizon: The case of manufacturing industry in West Denmark," MPRA Paper 66178, University Library of Munich, Germany, revised 15 Aug 2015.
    24. A. Smyk & K. Webel, 2024. "Vers une désaisonnalisation des séries temporelles infra-mensuelles avec JDemetra+," Documents de Travail de l'Insee - INSEE Working Papers m2024-04, Institut National de la Statistique et des Etudes Economiques.
    25. Kamal Chapagain & Somsak Kittipiyakul, 2018. "Performance Analysis of Short-Term Electricity Demand with Atmospheric Variables," Energies, MDPI, vol. 11(4), pages 1-34, April.
    26. Kisi, Ozgur & Shiri, Jalal & Karimi, Sepideh & Shamshirband, Shahaboddin & Motamedi, Shervin & Petković, Dalibor & Hashim, Roslan, 2015. "A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 731-743.
    27. Caston Sigauke & Murendeni Maurel Nemukula & Daniel Maposa, 2018. "Probabilistic Hourly Load Forecasting Using Additive Quantile Regression Models," Energies, MDPI, vol. 11(9), pages 1-21, August.
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    42. Matthew Harding & Carlos Lamarche, 2018. "A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment," Papers 1808.03364, arXiv.org.
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    44. Alves da Silva, Alexandre P. & Ferreira, Vitor H. & Velasquez, Roberto M.G., 2008. "Input space to neural network based load forecasters," International Journal of Forecasting, Elsevier, vol. 24(4), pages 616-629.
    45. Jaume Rosselló Nadal & Mohcine Bakhat, 2009. "A new approach to estimating tourism-induced electricity consumption," CRE Working Papers (Documents de treball del CRE) 2009/6, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
    46. Souza, Leonardo Rocha & Soares, Lacir Jorge, 2003. "Forecasting electricity load demand: analysis of the 2001 rationing period in Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 491, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    47. Gould, Phillip G. & Koehler, Anne B. & Ord, J. Keith & Snyder, Ralph D. & Hyndman, Rob J. & Vahid-Araghi, Farshid, 2008. "Forecasting time series with multiple seasonal patterns," European Journal of Operational Research, Elsevier, vol. 191(1), pages 207-222, November.
    48. Clements, Adam & Hurn, Stan & Volkov, Vladimir, 2021. "A simple linear alternative to multiplicative error models with an application to trading volume," Working Papers 2021-06, University of Tasmania, Tasmanian School of Business and Economics.
    49. Matteo Manera & Angelo Marzullo, 2003. "Modelling the Load Curve of Aggregate Electricity Consumption Using Principal Components," Working Papers 2003.95, Fondazione Eni Enrico Mattei.
    50. Fezzi, Carlo & Fanghella, Valeria, 2021. "Tracking GDP in real-time using electricity market data: Insights from the first wave of COVID-19 across Europe," European Economic Review, Elsevier, vol. 139(C).
    51. Andreas V. Stokke & Gerard L. Doorman & Torgeir Ericson, 2009. "An Analysis of a Demand Charge Electricity Grid Tariff in the Residential Sector," Discussion Papers 574, Statistics Norway, Research Department.
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    54. Soares, Lacir J. & Medeiros, Marcelo C., 2008. "Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data," International Journal of Forecasting, Elsevier, vol. 24(4), pages 630-644.
    55. Phillip Gould & Anne B. Koehler & Farshid Vahid-Araghi & Ralph D. Snyder & J. Keith Ord & Rob J. Hyndman, 2004. "Forecasting Time-Series with Correlated Seasonality," Monash Econometrics and Business Statistics Working Papers 28/04, Monash University, Department of Econometrics and Business Statistics, revised Oct 2005.
    56. Haldrup; Niels & Morten Oerregaard Nielsen, 2005. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Economics Working Papers 2005-18, Department of Economics and Business Economics, Aarhus University.
    57. Torgeir Ericson, 2006. "Direct load control of residential water heaters," Discussion Papers 479, Statistics Norway, Research Department.
    58. Fan, Shu & Hyndman, Rob J., 2011. "The price elasticity of electricity demand in South Australia," Energy Policy, Elsevier, vol. 39(6), pages 3709-3719, June.
    59. Bell, William, 2012. "The impact of climate change on electricity demand in the Australian national electricity market," MPRA Paper 38110, University Library of Munich, Germany, revised 29 Feb 2012.
    60. Mestekemper, Thomas & Kauermann, Göran & Smith, Michael S., 2013. "A comparison of periodic autoregressive and dynamic factor models in intraday energy demand forecasting," International Journal of Forecasting, Elsevier, vol. 29(1), pages 1-12.
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    63. Khanna, Abhishek & Kaur, Sanmeet, 2023. "An empirical analysis on adoption of precision agricultural techniques among farmers of Punjab for efficient land administration," Land Use Policy, Elsevier, vol. 126(C).
    64. Takeda, Hisashi & Tamura, Yoshiyasu & Sato, Seisho, 2016. "Using the ensemble Kalman filter for electricity load forecasting and analysis," Energy, Elsevier, vol. 104(C), pages 184-198.
    65. Luo, Jian & Hong, Tao & Fang, Shu-Cherng, 2018. "Benchmarking robustness of load forecasting models under data integrity attacks," International Journal of Forecasting, Elsevier, vol. 34(1), pages 89-104.
    66. Deihimi, Ali & Orang, Omid & Showkati, Hemen, 2013. "Short-term electric load and temperature forecasting using wavelet echo state networks with neural reconstruction," Energy, Elsevier, vol. 57(C), pages 382-401.
    67. Rocha Souza, Leonardo & Jorge Soares, Lacir, 2007. "Electricity rationing and public response," Energy Economics, Elsevier, vol. 29(2), pages 296-311, March.
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    71. Charlton, Nathaniel & Singleton, Colin, 2014. "A refined parametric model for short term load forecasting," International Journal of Forecasting, Elsevier, vol. 30(2), pages 364-368.
    72. Lacir J. Soares & Marcelo Cunha Medeiros, 2005. "Modelling and forecasting short-term electricity load: a two step methodology," Textos para discussão 495, Department of Economics PUC-Rio (Brazil).
    73. Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number hsbook0601, December.
    74. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
    75. Hippert, H.S. & Bunn, D.W. & Souza, R.C., 2005. "Large neural networks for electricity load forecasting: Are they overfitted?," International Journal of Forecasting, Elsevier, vol. 21(3), pages 425-434.
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    77. Ben Taieb, Souhaib & Hyndman, Rob J., 2014. "A gradient boosting approach to the Kaggle load forecasting competition," International Journal of Forecasting, Elsevier, vol. 30(2), pages 382-394.
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    79. Dordonnat, V. & Koopman, S.J. & Ooms, M. & Dessertaine, A. & Collet, J., 2008. "An hourly periodic state space model for modelling French national electricity load," International Journal of Forecasting, Elsevier, vol. 24(4), pages 566-587.
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    81. Kahvecioğlu, Gökçe & Morton, David P. & Wagner, Michael J., 2022. "Dispatch optimization of a concentrating solar power system under uncertain solar irradiance and energy prices," Applied Energy, Elsevier, vol. 326(C).
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    83. Zia, Hina & Devadas, V., 2007. "Energy management in Lucknow city," Energy Policy, Elsevier, vol. 35(10), pages 4847-4868, October.
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  38. Anderson, Heather M & Vahid, Farshid, 1997. "On the Correspondence between Individual and Aggregate Food Consumption Functions: Evidence from the USA and the Netherlands," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(5), pages 477-498, Sept.-Oct.

    Cited by:

    1. Bruce W. Hamilton, 2001. "Using Engel's Law to Estimate CPI Bias," American Economic Review, American Economic Association, vol. 91(3), pages 619-630, June.
    2. Wang, Zijun & Bessler, David A, 2002. "The Homogeneity Restriction and Forecasting Performance of VAR-Type Demand Systems: An Empirical Examination of US Meat Consumption," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(3), pages 193-206, April.
    3. Anderson, Heather M. & Vahid, Farshid, 1998. "On the pooling of cross-sectional and time-series data in the presence of heteroskedasticity," Economics Letters, Elsevier, vol. 60(3), pages 291-296, September.
    4. Bernt P. Stigum, 2000. "Rationality in Econometrics," Econometric Society World Congress 2000 Contributed Papers 0747, Econometric Society.
    5. Giorgio Fagiolo, 2001. "Engel Curves Specification in an Artificial Model of Consumption Dynamics with Socially Evolving Preferences," LEM Papers Series 2001/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  39. Vahid, Farshid & Engle, Robert F., 1997. "Codependent cycles," Journal of Econometrics, Elsevier, vol. 80(2), pages 199-221, October.

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    1. Christian Gourieroux & Joann Jasiak, 1999. "Nonlinear Persistence and Copersistence," Working Papers 2000_1, York University, Department of Economics.
    2. Thomas A. Knetsch, 2004. "Evaluating the German Inventory Cycle – Using Data from the Ifo Business Survey," CESifo Working Paper Series 1202, CESifo.
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    4. Osmani Teixeira de Carvalho Guillén & João Victor Issler & George Athanasopoulos, 2005. "Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 15/05, Monash University, Department of Econometrics and Business Statistics.
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    24. de Silva, Ashton, 2007. "A multivariate innovations state space Beveridge Nelson decomposition," MPRA Paper 5431, University Library of Munich, Germany.
    25. Cubadda, Gianluca & Hecq, Alain & Palm, Franz C., 2008. "Macro-panels and reality," Economics Letters, Elsevier, vol. 99(3), pages 537-540, June.
    26. Issler, João Victor & Vahid, Farshid, 2002. "The missing link: using the NBER recession indicator to construct coincident and leading indices economic activity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 450, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
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    40. Trenkler, Carsten & Weber, Enzo, 2012. "Codependent VAR Models and the Pseudo-Structural Form," Working Papers 12-10, University of Mannheim, Department of Economics.
    41. Yin-wong Cheung & Jude Yuen, 2005. "An Output Perspective on a Northeast Asia Currency Union," Working Papers 162005, Hong Kong Institute for Monetary Research.
    42. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 650, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    43. Gianluca Cubadda, 2001. "Common Features In Time Series With Both Deterministic And Stochastic Seasonality," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 201-216.
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    53. Zuzana Kucerova & Jitka Pomenkova, 2014. "Financial and Trade Integration of Selected EU Regions: Dynamic Correlation and Wavelet Approach," MENDELU Working Papers in Business and Economics 2014-45, Mendel University in Brno, Faculty of Business and Economics.
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    5. Kamil, Nazrol & Masih, Mansur, 2016. "Shari’ah (islamic)compliant investments in Malaysia: influences of selected stock indices and their trend/cycle decomposition equity," MPRA Paper 100955, University Library of Munich, Germany.
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    7. Cribari-Neto, Francisco, 1996. "On time series econometrics," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(Supplemen), pages 37-60.
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    9. Osmani Teixeira de Carvalho Guillén & João Victor Issler & George Athanasopoulos, 2005. "Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 15/05, Monash University, Department of Econometrics and Business Statistics.
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    39. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2000. "Testing for Common Cyclical Features in Nonstationary Panel Data Models," CESifo Working Paper Series 248, CESifo.
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    41. Loureiro, André Soares & Barbosa, Fernando de Holanda, 2003. "The risk premium on brazilian government debt, 1996-2002," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 485, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    42. Issler, Joao Victor & Vahid, Farshid, 2001. "Common cycles and the importance of transitory shocks to macroeconomic aggregates," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 449-475, June.
    43. Francisco Corona & Graciela González-Farías & Pedro Orraca, 2017. "A dynamic factor model for the Mexican economy: are common trends useful when predicting economic activity?," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-35, December.
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    45. Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
    46. Gianluca Cubadda & Alain Hecq & Elisa Voisin, 2022. "Detecting common bubbles in multivariate mixed causal-noncausal models," Papers 2207.11557, arXiv.org.
    47. Carvalho, Vasco M. & Harvey, Andrew C., 2005. "Growth, cycles and convergence in US regional time series," International Journal of Forecasting, Elsevier, vol. 21(4), pages 667-686.
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