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Information and Entropy Econometrics--Editor's View

Citations

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Cited by:

  1. Giacomini, Raffaella & Ragusa, Giuseppe, 2011. "Incorporating theoretical restrictions into forecasting by projection methods," CEPR Discussion Papers 8604, C.E.P.R. Discussion Papers.
  2. Arndt, Channing & Simler, Kenneth R., 2005. "Estimating utility-consistent poverty lines," FCND briefs 189, International Food Policy Research Institute (IFPRI).
  3. Herrmann-Pillath, Carsten, 2015. "Energy, growth, and evolution: Towards a naturalistic ontology of economics," Ecological Economics, Elsevier, vol. 119(C), pages 432-442.
  4. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2013. "A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500," JRFM, MDPI, vol. 6(1), pages 1-25, October.
  5. Balcombe, Kelvin, 2006. "Cross-Entropy Estimation of Linear Cointegrated Equations," MPRA Paper 15100, University Library of Munich, Germany.
  6. repec:ebl:ecbull:v:30:y:2010:i:1:p:587-596 is not listed on IDEAS
  7. David E Allen & Michael McAleer & Abhay K Singh, 2017. "An entropy-based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Applied Economics, Taylor & Francis Journals, vol. 49(7), pages 677-692, February.
  8. Jongeneel, Roelof A. & Tonini, Axel, 2008. "Dairy Quota and Farm Structural Change: A Case Study on the Netherlands," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6692, European Association of Agricultural Economists.
  9. Wang, Zitian & Wang, Lili & Tan, Shaohua, 2008. "Emergent and spontaneous computation of factor relationships from a large factor set," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3939-3959, December.
  10. Herrmann-Pillath, Carsten, 2011. "The evolutionary approach to entropy: Reconciling Georgescu-Roegen's natural philosophy with the maximum entropy framework," Ecological Economics, Elsevier, vol. 70(4), pages 606-616, February.
  11. Nikolaus A. Siegfried, 2002. "An information-theoretic extension to structural VAR modelling," Quantitative Macroeconomics Working Papers 20203, Hamburg University, Department of Economics.
  12. Marco Capasso & Alessio Moneta, 2016. "Macroeconomic responses to an independent monetary policy shock: a (more) agnostic identification procedure," LEM Papers Series 2016/36, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  13. M. Laura Donnet & Dave D. Weatherspoon & Charles B. Moss, 2010. "Measuring Food Product Differentiation by Quality Ratings: A Cross‐Entropy Analysis of Specialty Coffee e‐Auctions," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 122-137, February.
  14. Giacomini, Raffaella & Ragusa, Giuseppe, 2014. "Theory-coherent forecasting," Journal of Econometrics, Elsevier, vol. 182(1), pages 145-155.
  15. Somwaru, Agapi & Dirkse, Steve, 2012. "Dynamic PEATSim Model: Documenting Its Use in Analyzing Global Commodity Markets," Technical Bulletins 129359, United States Department of Agriculture, Economic Research Service.
  16. Golan Amos, 2003. "An Information Theoretic Approach for Estimating Nonlinear Dynamic Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-26, December.
  17. Pedro Macedo & Elvira Silva, 2010. "A stochastic production frontier model with a translog specification using the generalized maximum entropy estimator," Economics Bulletin, AccessEcon, vol. 30(1), pages 587-596.
  18. Golan, Amos & Perloff, Jeffrey M., 2002. "Comparison of maximum entropy and higher-order entropy estimators," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 195-211, March.
  19. Paulo Ferreira & Andreia Dionísio & Cesaltina Pires, 2010. "Adopt the euro? The GME approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 231-247, December.
  20. Channing Arndt & Kenneth R. Simler, 2007. "Consistent poverty comparisons and inference," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 133-139, September.
  21. Alexander Veremyev & Peter Tsyurmasto & Stan Uryasev & R. Rockafellar, 2014. "Calibrating probability distributions with convex-concave-convex functions: application to CDO pricing," Computational Management Science, Springer, vol. 11(4), pages 341-364, October.
  22. E. Ciavolino & A. Calcagnì, 2015. "Generalized cross entropy method for analysing the SERVQUAL model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(3), pages 520-534, March.
  23. Moreno, Blanca & García-Álvarez, María Teresa & Ramos, Carmen & Fernández-Vázquez, Esteban, 2014. "A General Maximum Entropy Econometric approach to model industrial electricity prices in Spain: A challenge for the competitiveness," Applied Energy, Elsevier, vol. 135(C), pages 815-824.
  24. Chu, Ba, 2011. "Recovering copulas from limited information and an application to asset allocation," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1824-1842, July.
  25. Wang, Zhuo & Shang, Pengjian, 2021. "Generalized entropy plane based on multiscale weighted multivariate dispersion entropy for financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
  26. Ba Chu & Stephen Satchell, 2016. "Recovering the Most Entropic Copulas from Preliminary Knowledge of Dependence," Econometrics, MDPI, vol. 4(2), pages 1-21, March.
  27. Lindsay N. Amiel & Steven Deller & Judith I. Stallman, 2012. "Economic Growth and Tax and Expenditure Limitations," The Review of Regional Studies, Southern Regional Science Association, vol. 42(3), pages 185-206, Winter.
  28. Jangho Yang, 2018. "Information Theoretic Approaches In Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 940-960, July.
  29. 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.
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