Information and Entropy Econometrics — A Review and Synthesis
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- E. M. S. Ribeiro & G. A. Prataviera, 2014. "Information theoretic approach for accounting classification," Papers 1401.2954, arXiv.org, revised Sep 2014.
- Andrew Friedson & Thomas Kniesner, 2012.
"Losers and losers: Some demographics of medical malpractice tort reforms,"
Journal of Risk and Uncertainty,
Springer, vol. 45(2), pages 115-133, October.
- Thomas J. Kniesner & Andrew Friedson, 2011. "Losers and Losers: Some Demographics of Medical Malpractice Tort Reforms," Center for Policy Research Working Papers 132, Center for Policy Research, Maxwell School, Syracuse University.
- Friedson, Andrew I. & Kniesner, Thomas J., 2011. "Losers and Losers: Some Demographics of Medical Malpractice Tort Reforms," IZA Discussion Papers 5921, Institute for the Study of Labor (IZA).
- repec:ags:stataj:275945 is not listed on IDEAS
- Laureti, Tiziana & Secondi, Luca & Biggeri, Luigi, 2014. "Measuring the efficiency of teaching activities in Italian universities: An information theoretic approach," Economics of Education Review, Elsevier, vol. 42(C), pages 147-164.
- Enrico Ciavolino & Antonio Calcagnì, 2014. "A generalized maximum entropy (GME) approach for crisp-input/fuzzy-output regression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3401-3414, November.
- repec:taf:emetrv:v:37:y:2018:i:4:p:347-359 is not listed on IDEAS
- Russ, Meir, 2016. "The probable foundations of sustainabilism: Information, energy and entropy based definition of capital, Homo Sustainabiliticus and the need for a “new gold”," Ecological Economics, Elsevier, vol. 130(C), pages 328-338.
- Nancy McCarthy & Heath Henderson, 2014. "The Role of Renewable Energy Laws in Expanding Energy from Non-Traditional Renewables," IDB Publications (Working Papers) 86813, Inter-American Development Bank.
- Giuseppe Ragusa, 2011.
"Minimum Divergence, Generalized Empirical Likelihoods, and Higher Order Expansions,"
Taylor & Francis Journals, vol. 30(4), pages 406-456, August.
- Giuseppe Ragusa, 2008. "Minimum Divergence, Generalized Empirical Likelihoods, and Higher Order Expansions," Working Papers 080906, University of California-Irvine, Department of Economics.
- Corral, Paul & Terbish, Mungo, 2015.
"Generalized maximum entropy estimation of discrete choice models,"
StataCorp LP, vol. 0(Number 2).
- Paul Corral & Mungo Terbish, 2015. "Generalized maximum entropy estimation of discrete choice models," Stata Journal, StataCorp LP, vol. 15(2), pages 512-522, June.
- Henderson, Heath & Golan, Amos & Seabold, Skipper, 2015. "Incorporating prior information when true priors are unknown: An Information-Theoretic approach for increasing efficiency in estimation," Economics Letters, Elsevier, vol. 127(C), pages 1-5.
- Nancy McCarthy & Heath Henderson, 2014. "The Role of Renewable Energy Laws in Expanding Energy from Non-Traditional Renewables," IDB Publications (Working Papers) 6677, Inter-American Development Bank.
- Cinzia Daraio, 2017. "A framework for the Assessment of Research and its impacts," DIAG Technical Reports 2017-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
- Caticha, Ariel & Golan, Amos, 2014. "An entropic framework for modeling economies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 149-163.
- Giacomini, Raffaella & Ragusa, Giuseppe, 2014. "Theory-coherent forecasting," Journal of Econometrics, Elsevier, vol. 182(1), pages 145-155.
- Heath Henderson, 2014. "Structural transformation and smallholder agriculture: an information-theoretic analysis of the Nicaraguan case," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 443-458, July.
- Moriah B. Bostian & Cinzia Daraio & Rolf Fare & Shawna Grosskopf & Maria Grazia Izzo & Luca Leuzzi & Giancarlo Ruocco & William L. Weber, 2018. "Inference for Nonparametric Productivity Networks: A Pseudo-likelihood Approach," DIAG Technical Reports 2018-06, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
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