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Maximum entropy ensembles for time series inference in economics

Citations

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Cited by:

  1. Hrishikesh D. Vinod, 2013. "Maximum Entropy Bootstrap Algorithm Enhancements," Fordham Economics Discussion Paper Series dp2013-04, Fordham University, Department of Economics.
  2. Na Hou & Jing Pan & Xin-Yi Wang, 2025. "Time-varying effects of U.S. military expenditure on economic growth: a disaggregated data analysis," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
  3. N Peter Reeves & Victor Giancarlo Sal y Rosas Celi & Anne N Lutomia & John William Medendorp & Julia Bello-Bravo & Barry Pittendrigh, 2024. "Agricultural education in Africa using YouTube multilingual animations: A retrospective feasibility study assessing costs to reach language-diverse populations," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-13, April.
  4. Hrishikesh D. Vinod, 2008. "Heteroscedasticity and Autocorrelation Efficient (HAE) Estimation and Pivots for Jointly Evolving Series," Fordham Economics Discussion Paper Series dp2008-15, Fordham University, Department of Economics.
  5. Benchimol, Jonathan & Palumbo, Luigi, 2024. "Sanctions and Russian online prices," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 483-521.
  6. Hrishikesh Vinod & Lekha S. Chakraborty & Honey Karun, 2014. "If Deficits Are Not the Culprit, What Determines Indian Interest Rates? An Evaluation Using the Maximum Entropy Bootstrap Method," Economics Working Paper Archive wp_811, Levy Economics Institute.
  7. Rohin Anhal, 2013. "Causality between GDP, Energy and Coal Consumption in India, 1970-2011: A Non-parametric Bootstrap Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 434-446.
  8. Vacca, Gianmarco & Zoia, Maria Grazia & Bagnato, Luca, 2022. "Forecasting in GARCH models with polynomially modified innovations," International Journal of Forecasting, Elsevier, vol. 38(1), pages 117-141.
  9. Alptekin, Aynur & Broadstock, David C. & Chen, Xiaoqi & Wang, Dong, 2019. "Time-varying parameter energy demand functions: Benchmarking state-space methods against rolling-regressions," Energy Economics, Elsevier, vol. 82(C), pages 26-41.
  10. A. Talha Yalta, 2013. "Small Sample Bootstrap Inference of Level Relationships in the Presence of Autocorrelated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Working Papers 1301, TOBB University of Economics and Technology, Department of Economics.
  11. Aqil Khan & Mumtaz Ahmed & Salma Bibi, 2019. "Financial development and economic growth nexus for Pakistan: a revisit using maximum entropy bootstrap approach," Empirical Economics, Springer, vol. 57(4), pages 1157-1169, October.
  12. B. L. S. Prakasa Rao & T. Krishna Kumar, 2021. "On Some Characterizations of Probability Distributions with Applications in Econometrics: A Centennial Tribute to CR Rao," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 181-205, June.
  13. Xu, Qifa & Niu, Xufeng & Jiang, Cuixia & Huang, Xue, 2015. "The Phillips curve in the US: A nonlinear quantile regression approach," Economic Modelling, Elsevier, vol. 49(C), pages 186-197.
  14. A. Talha Yalta, 2013. "The Dynamics of Road Energy Demand and Illegal Fuel Activity in Turkey: A Rolling Window Analysis," Working Papers 1304, TOBB University of Economics and Technology, Department of Economics, revised Jul 2013.
  15. A. Yasemin Yalta, 2011. "New Evidence on FDI-Led Growth: The Case of China," Working Papers 1107, TOBB University of Economics and Technology, Department of Economics.
  16. Yalta, A. Talha & Yalta, A. Yasemin, 2016. "The dynamics of fuel demand and illegal fuel activity in Turkey," Energy Economics, Elsevier, vol. 54(C), pages 144-158.
  17. Zanjani, Zeinab & Soares, Isabel & Macedo, Pedro, 2023. "Investigating CO2 emissions from aviation in oil producing countries using a two-stage maximum entropy approach," Energy, Elsevier, vol. 278(PA).
  18. E. Ramos-P'erez & P. J. Alonso-Gonz'alez & J. J. N'u~nez-Vel'azquez, 2020. "Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network," Papers 2006.16383, arXiv.org, revised Aug 2020.
  19. Arisara Romyen & Chukiat Chaiboonsri & Satawat Wannapan & Songsak Sriboonchitta, 2019. "Multi-Process-Based Maximum Entropy Bootstrapping Estimator: Application for Net Foreign Direct Investment in ASEAN," Economies, MDPI, vol. 7(3), pages 1-13, July.
  20. Chakraborty, Lekha, 2012. "Determination of Interest Rate in India: Empirical Evidence on Fiscal Deficit-Interest Links and Financial Crowding Out," Working Papers 12/110, National Institute of Public Finance and Policy.
  21. H.D. Vinod, 2016. "New bootstrap inference for spurious regression problems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(2), pages 317-335, February.
  22. Zeinab Zanjani & Pedro Macedo & Isabel Soares, 2021. "Investigating Carbon Emissions from Electricity Generation and GDP Nexus Using Maximum Entropy Bootstrap: Evidence from Oil-Producing Countries in the Middle East," Energies, MDPI, vol. 14(12), pages 1-22, June.
  23. Lekha S. Chakraborty, 2012. "Interest Rate Determination in India: Empirical Evidence on Fiscal Deficit--Interest Rate Linkages and Financial Crowding Out," Economics Working Paper Archive wp_744, Levy Economics Institute.
  24. Yalta, A. Yasemin, 2013. "Revisiting the FDI-led growth Hypothesis: The case of China," Economic Modelling, Elsevier, vol. 31(C), pages 335-343.
  25. Tian, Renfang & Xu, Jingjing & Feng, Hui & McFarlane, Adian, 2024. "A maximum entropy bootstrap approach to financial development and economic growth in China," Economic Systems, Elsevier, vol. 48(4).
  26. Samuele Ialenti & Guido Pialli, 2024. "The increase in the elasticity of substitution between capital and labour: a repeated cross-country investigation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 33(3), pages 380-400, April.
  27. Lundholm, Michael, 2010. "Are Inflation Forecasts from Major Swedish Forecasters Biased?," Research Papers in Economics 2010:10, Stockholm University, Department of Economics.
  28. Jan Hajek & Jan Frait & Miroslav Plasil, 2017. "The countercyclical capital buffer in the Czech Republic," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2016/2017, chapter 0, pages 106-114, Czech National Bank, Research and Statistics Department.
  29. Miroslav Plašil, 2011. "Potenciální produkt, mezera výstupu a míra nejistoty spojená s jejich určením při použití Hodrick-Prescottova filtru [Potential Product, Output Gap and Uncertainty Rate Associated with Their Determination while Using the Hodrick-Prescott Filter]," Politická ekonomie, Prague University of Economics and Business, vol. 2011(4), pages 490-507.
  30. A. Talha Yalta, 2016. "Bootstrap Inference of Level Relationships in the Presence of Serially Correlated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 339-366, August.
  31. Pedro Macedo & Mara Madaleno, 2022. "Global Temperature and Carbon Dioxide Nexus: Evidence from a Maximum Entropy Approach," Energies, MDPI, vol. 16(1), pages 1-13, December.
  32. Galip Altinay & A. Talha Yalta, 2016. "Estimating the evolution of elasticities of natural gas demand: the case of Istanbul, Turkey," Empirical Economics, Springer, vol. 51(1), pages 201-220, August.
  33. Meira, Erick & Cyrino Oliveira, Fernando Luiz & de Menezes, Lilian M., 2022. "Forecasting natural gas consumption using Bagging and modified regularization techniques," Energy Economics, Elsevier, vol. 106(C).
  34. repec:jss:jstsof:29:i05 is not listed on IDEAS
  35. Hazem Krichene & Thomas Vogt & Franziska Piontek & Tobias Geiger & Christof Schötz & Christian Otto, 2023. "The social costs of tropical cyclones," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  36. Sella Lisa, 2008. "Old and New Spectral Techniques for Economic Time Series," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200809, University of Turin.
  37. Maria Grazia Zoia & Gianmarco Vacca & Laura Barbieri, 2020. "Modeling Multivariate Financial Series and Computing Risk Measures via Gram–Charlier-Like Expansions," Risks, MDPI, vol. 8(4), pages 1-21, November.
  38. Yang Peng & Xianliang Yu & Hongxiang Yan & Jipeng Zhang, 2020. "Stochastic Simulation of Daily Suspended Sediment Concentration Using Multivariate Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3913-3932, September.
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