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George Judge

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. George Judge & Laura Schechter, 2009. "Detecting Problems in Survey Data Using Benford’s Law," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).

    Mentioned in:

    1. Benford's Law
      by Martin Ryan in Geary Behaviour Centre on 2009-09-19 01:47:00

Working papers

  1. Fu, Qiuzi & Villas-Boas, Sofia B & Judge, George, 2019. "Entropy-based China income distributions and inequality measures," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt03n491s7, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. G.-Fivos Sargentis & Theano Iliopoulou & Panayiotis Dimitriadis & Nikolaos Mamassis & Demetris Koutsoyiannis, 2021. "Stratification: An Entropic View of Society’s Structure," World, MDPI, vol. 2(2), pages 1-22, March.

  2. Aurelio F. Bariviera & Angelo Plastino & George Judge, 2018. "Spurious seasonality detection: a non-parametric test proposal," Papers 1801.07941, arXiv.org.

    Cited by:

    1. Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    2. Yasmeen Idilbi-Bayaa & Mahmoud Qadan, 2022. "Tell Me Why I Do Not Like Mondays," Mathematics, MDPI, vol. 10(11), pages 1-22, May.

  3. Judge, George G. & Villas-Boas, Sofia B. & Fu, Quizi, 2017. "An Entropy Based Analysis Of European Micro Income Distributions And Inequality Measures," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2sr9g4n8, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Fu, Qiuzi & Villas-Boas, Sofia B & Judge, George, 2019. "Entropy-based China income distributions and inequality measures," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt03n491s7, Department of Agricultural & Resource Economics, UC Berkeley.

  4. Judge, George G. & Villas-Boas, Sofia B., 2017. "Benford's Law and the FSD Distribution of Economic Behavioral Micro Data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4bb8k9zw, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Dang, Canh Thien & Owens, Trudy, 2020. "Does transparency come at the cost of charitable services? Evidence from investigating British charities," LSE Research Online Documents on Economics 103943, London School of Economics and Political Science, LSE Library.
    2. Katherine M. Anderson & Kevin Dayaratna & Drew Gonshorowski & Steven J. Miller, 2022. "A New Benford Test for Clustered Data with Applications to American Elections," Stats, MDPI, vol. 5(3), pages 1-15, August.
    3. González Fernando Antonio Ignacio, 2019. "Detecting Anomalous Data in Household Surveys: Evidence for Argentina," Journal of Social and Economic Statistics, Sciendo, vol. 8(2), pages 1-10, December.

  5. Villas-Boas, Sofia & Fu, Qiuzi & Judge, George, 2015. "Is Benford's Law a Universal Behavioral Theory?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6x45h2fw, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. González Fernando Antonio Ignacio, 2019. "Detecting Anomalous Data in Household Surveys: Evidence for Argentina," Journal of Social and Economic Statistics, Sciendo, vol. 8(2), pages 1-10, December.

  6. Villas-Boas, Sofia B & Judge, George & Abrantes-Metz, Rosa, 2011. "Tracking the Libor Rate," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0g79j32p, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Donna, Javier & Espin-Sanchez, Jose, 2014. "Complements and Substitutes in Sequential Auctions: The Case of Water Auctions," MPRA Paper 55079, University Library of Munich, Germany.
    2. Ausloos, Marcel & Cerqueti, Roy & Mir, Tariq A., 2017. "Data science for assessing possible tax income manipulation: The case of Italy," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 238-256.
    3. Aurelio F. Bariviera & M. Belen Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2016. "Libor at crossroads: stochastic switching detection using information theory quantifiers," Papers 1603.02874, arXiv.org.
    4. Diehl, Christoph, 2014. "The LIBOR mechanism and Related Games," Center for Mathematical Economics Working Papers 482, Center for Mathematical Economics, Bielefeld University.
    5. Abrantes-Metz, Rosa M. & Kraten, Michael & Metz, Albert D. & Seow, Gim S., 2012. "Libor manipulation?," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 136-150.
    6. Florian El Mouaaouy, 2018. "Financial crime ‘hot spots’ – empirical evidence from the foreign exchange market," The European Journal of Finance, Taylor & Francis Journals, vol. 24(7-8), pages 565-583, May.
    7. Robert Brooks & Brandon N. Cline & Pavel Teterin & Yu You, 2022. "The information in global interest rate futures contracts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(6), pages 1135-1166, June.
    8. Bariviera, Aurelio F. & Martín, María T. & Plastino, Angelo & Vampa, Victoria, 2016. "LIBOR troubles: Anomalous movements detection based on maximum entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 401-407.
    9. Aneta Hryckiewicz & Piotr Mielus & Karolina Skorulska & Malgorzata Snarska, 2018. "Does a bank levy increase frictions on the interbank market?," KAE Working Papers 2018-033, Warsaw School of Economics, Collegium of Economic Analysis.
    10. Theoharry Grammatikos & Nikolaos I. Papanikolaou, 2021. "Applying Benford’s Law to Detect Accounting Data Manipulation in the Banking Industry," Journal of Financial Services Research, Springer;Western Finance Association, vol. 59(1), pages 115-142, April.
    11. Aurelio Fernandez Bariviera & M. Bel'en Guercio & Lisana B. Martinez, 2015. "Data manipulation detection via permutation information theory quantifiers," Papers 1501.04123, arXiv.org.
    12. César Carrera, 2015. "Tracking the Exchange Rate Management in Latin America," Working Papers 28, Peruvian Economic Association.
    13. Alexander Eisl & Rainer Jankowitsch & Marti G. Subrahmanyam, 2017. "The Manipulation Potential of Libor and Euribor," European Financial Management, European Financial Management Association, vol. 23(4), pages 604-647, September.
    14. Rodríguez-López, Araceli & Fernández-Abascal, Hermenegildo & Maté-García, Jorge-Julio & Rodríguez-Fernández, José-Miguel & Rojo-García, José-Luis & Sanz-Gómez, José-Antonio, 2021. "Evaluating Euribor Manipulation: Effects on Mortgage Borrowers," Finance Research Letters, Elsevier, vol. 40(C).
    15. Nicole El Karoui & Stéphane Loisel & Jean-Luc Prigent & Julien Vedani, 2017. "Market inconsistencies of the market-consistent European life insurance economic valuations: pitfalls and practical solutions," Post-Print hal-01242023, HAL.
    16. Garcia Pires, Armando J. & Skjeret, Frode, 2023. "Screening for partial collusion in retail electricity markets," Energy Economics, Elsevier, vol. 117(C).
    17. Marcel Ausloos & Rosella Castellano & Roy Cerqueti, 2016. "Regularities and Discrepancies of Credit Default Swaps: a Data Science approach through Benford's Law," Papers 1603.01103, arXiv.org.
    18. Brown, David P. & Eckert, Andrew & Lin, James, 2018. "Information and Transparency in Wholesale Electricity Markets: Evidence from Alberta," Working Papers 2018-2, University of Alberta, Department of Economics.
    19. Monticini, Andrea & Thornton, Daniel L., 2013. "The effect of underreporting on LIBOR rates," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 345-348.
    20. Tariq Ahmad Mir & Marcel Ausloos & Roy Cerqueti, 2014. "Benford's law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions," Papers 1410.2890, arXiv.org.
    21. Smales, Lee A., 2016. "News sentiment and bank credit risk," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 37-61.
    22. Samà, Danilo, 2016. "Cartel detection and collusion screening: an empirical analysis of the London Metal Exchange," MPRA Paper 103117, University Library of Munich, Germany.
    23. Samà, Danilo, 2014. "Essays on economic analysis of competition law: theory and practice," MPRA Paper 103118, University Library of Munich, Germany.
    24. Aurelio F. Bariviera & M. Bel'en Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2015. "The (in)visible hand in the Libor market: an Information Theory approach," Papers 1508.04748, arXiv.org.
    25. Thomas Stoerk, 2015. "Statistical corruption in Beijing’s air quality data has likely ended in 2012," GRI Working Papers 194, Grantham Research Institute on Climate Change and the Environment.
    26. Lilian Muchimba, 2022. "Connectedness of money market instruments: A time-varying vector autoregression approach," Working Papers in Economics & Finance 2022-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    27. Brooks, Robert & Cline, Brandon N. & Enders, Walter, 2015. "A comparison of the information in the LIBOR and CMT term structures of interest rates," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 239-253.
    28. Aurelio F. Bariviera & M. Belen Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2015. "A permutation Information Theory tour through different interest rate maturities: the Libor case," Papers 1509.00217, arXiv.org.

  7. Grendar, Marian & Judge, George G., 2010. "Revised empirical likelihood," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6gs579r0, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Jaeger, Adam & Lazar, Nicole A., 2020. "Split sample empirical likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 150(C).

  8. Lee, Joanne & Cho, Wendy K. Tam & Judge, George G, 2009. "Stigler's approach to recovering the distribution of first significant digits in natural data sets," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9745m98d, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Henry, Miguel & Mittelhammer, Ron & Loomis, John, 2018. "An Information-Theoretic Approach to Estimating Willingness To Pay for River Recreation Site Attributes," MPRA Paper 89842, University Library of Munich, Germany.
    2. Hürlimann, Werner, 2015. "On the uniform random upper bound family of first significant digit distributions," Journal of Informetrics, Elsevier, vol. 9(2), pages 349-358.
    3. Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123432, Agricultural and Applied Economics Association.

  9. Grendar, Marian & Judge, George G, 2009. "Maximum Empirical Likelihood: Empty Set Problem," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt71v338mh, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Yijie Xue & Nicole Lazar, 2012. "Empirical likelihood-based hot deck imputation methods," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(3), pages 629-646.
    2. Roberto Baragona & Francesco Battaglia & Domenico Cucina, 2017. "Empirical likelihood ratio in penalty form and the convex hull problem," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(4), pages 507-529, November.
    3. Grendar, Marian & Judge, George G., 2010. "Revised empirical likelihood," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6gs579r0, Department of Agricultural & Resource Economics, UC Berkeley.
    4. Grendar, Marian & Judge, George G., 2010. "Maximum Likelihood with Estimating Equations," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt1r45k876, Department of Agricultural & Resource Economics, UC Berkeley.
    5. Varron, Davit, 2016. "Empirical likelihood confidence tubes for functional parameters in plug-in estimation," Journal of Multivariate Analysis, Elsevier, vol. 152(C), pages 100-118.

  10. Grendar, Marian & Judge, George G., 2007. "A Bayesian Large Deviations Probabilistic Interpretation and Justification of Empirical Likelihood," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt1z012014, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Grendar, Marian & Judge, George G. & Niven, R. K., 2007. "Large Deviations Approach to Bayesian Nonparametric Consistency: the Case of Polya Urn Sampling," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2s97t5km, Department of Agricultural & Resource Economics, UC Berkeley.

  11. Judge, George G. & Mittelhammer, Ronald C., 2004. "Estimating the Link Function in Multinomial Response Models under Endogeneity and Quadratic Loss," CUDARE Working Papers 25095, University of California, Berkeley, Department of Agricultural and Resource Economics.

    Cited by:

    1. Villas-Boas, Sofia B., 2006. "Vertical relationships between manufacturers and retailers: inference with limited data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0z26d2v9, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Mittelhammer, Ronald C. & Judge, George G. & Miller, Douglas J. & Cardell, N. Scott, 2005. "Minimum Divergence Moment Based Binary Response Models: Estimation and Inference," CUDARE Working Papers 25020, University of California, Berkeley, Department of Agricultural and Resource Economics.

  12. Judge, George G. & Miller, Douglas J. & Cho, Wendy K. T., 2003. "An Information Theoretic Approach to Ecological Estimation and Inference," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7h03r00q, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Rubiera-Morollón, Fernando & Fernández-Vázquez , Esteban & Aponte-Jaramillo, Elizabeth, 2012. "Estimation and analysis of labor productivity in Spanish cities," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 22, pages 129-151.
    2. Ludo Peeters & Coro Chasco-Yrigoyen, 2005. "Ecological Inference And Spatial Heterogeneity - A New Approach Based On Entropy Econometrics," ERSA conference papers ersa05p705, European Regional Science Association.

  13. Judge, George G. & Mittelhammer, Ron C, 2003. "A Semi-Parametric Basis for Combining Estimation Problems Under Quadratic Loss," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8z25j0w3, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Miller, Douglas J. & Mittelhammer, Ronald C. & Judge, George G., 2004. "Entropy-Based Estimation And Inference In Binary Response Models Under Endogeneity," 2004 Annual meeting, August 1-4, Denver, CO 20319, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Tae-Hwan Kim & Christophe Muller, 2020. "Inconsistency transmission and variance reduction in two-stage quantile regression," Post-Print hal-02084505, HAL.
    3. Judge, George G. & Mittelhammer, Ronald C., 2004. "Estimating the Link Function in Multinomial Response Models under Endogeneity and Quadratic Loss," CUDARE Working Papers 25095, University of California, Berkeley, Department of Agricultural and Resource Economics.
    4. Joshua D. Angrist & Peter D. Hull & Parag A. Pathak & Christopher R. Walters, 2017. "Leveraging Lotteries for School Value-Added: Testing and Estimation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 871-919.
    5. Mittelhammer, Ron C. & Judge, George G., 2005. "Combining estimators to improve structural model estimation and inference under quadratic loss," Journal of Econometrics, Elsevier, vol. 128(1), pages 1-29, September.
    6. Judge, George G. & Mittelhammer, Ron C., 2007. "Estimation and inference in the case of competing sets of estimating equations," Journal of Econometrics, Elsevier, vol. 138(2), pages 513-531, June.
    7. Mittelhammer, Ronald C. & Judge, George G. & Miller, Douglas J. & Cardell, N. Scott, 2005. "Minimum Divergence Moment Based Binary Response Models: Estimation and Inference," CUDARE Working Papers 25020, University of California, Berkeley, Department of Agricultural and Resource Economics.
    8. Grendar, Marian & Judge, George G., 2006. "Large Deviations Theory and Empirical Estimator Choice," CUDARE Working Papers 25084, University of California, Berkeley, Department of Agricultural and Resource Economics.
    9. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
    10. Marchand, Éric & Strawderman, William E., 2020. "On shrinkage estimation for balanced loss functions," Journal of Multivariate Analysis, Elsevier, vol. 175(C).
    11. Shakhawat Hossain & Shahedul A. Khan, 2020. "Shrinkage estimation of the exponentiated Weibull regression model for time‐to‐event data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(4), pages 592-610, November.
    12. Raheem, S.M. Enayetur & Ahmed, S. Ejaz & Doksum, Kjell A., 2012. "Absolute penalty and shrinkage estimation in partially linear models," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 874-891.
    13. Shakhawat Hossain & Trevor Thomson & Ejaz Ahmed, 2018. "Shrinkage estimation in linear mixed models for longitudinal data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 81(5), pages 569-586, July.
    14. Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2020. "Empirical MSE Minimization to Estimate a Scalar Parameter," Papers 2006.14667, arXiv.org.

  14. Mittelhammer, Ron C & Judge, George G. & Schoenberg, Ron, 2003. "Empirical Evidence Concerning the Finite Sample Performance of EL-Type Structural Equation Estimation and Inference Methods," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2xm0n02g, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Miller, Douglas J. & Mittelhammer, Ronald C. & Judge, George G., 2004. "Entropy-Based Estimation And Inference In Binary Response Models Under Endogeneity," 2004 Annual meeting, August 1-4, Denver, CO 20319, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Patrik Guggenberger, 2005. "Monte-carlo evidence suggesting a no moment problem of the continuous updating estimator," Economics Bulletin, AccessEcon, vol. 3(13), pages 1-6.
    3. Naoto Kunitomo & Yukitoshi Matsushita, 2009. "Asymptotic Expansions and Higher Order Properties of Semi-Parametric Estimators in a System of Simultaneous Equations," CIRJE F-Series CIRJE-F-611, CIRJE, Faculty of Economics, University of Tokyo.
    4. Judge, George G. & Mittelhammer, Ronald C., 2004. "Estimating the Link Function in Multinomial Response Models under Endogeneity and Quadratic Loss," CUDARE Working Papers 25095, University of California, Berkeley, Department of Agricultural and Resource Economics.
    5. T. W. Anderson & Naoto Kunitomo & Yukitoshi Matsushita, 2006. "A New Light from Old Wisdoms : Alternative Estimation Methods of Simultaneous Equations with Possibly Many Instruments," CIRJE F-Series CIRJE-F-399, CIRJE, Faculty of Economics, University of Tokyo.
    6. Giuseppe Ragusa, 2011. "Minimum Divergence, Generalized Empirical Likelihoods, and Higher Order Expansions," Econometric Reviews, Taylor & Francis Journals, vol. 30(4), pages 406-456, August.
    7. Umut Oguzoglu & Thanasis Stengos, 2005. "Can Dynamic Panel Data Explain the Finance-Growth Link? An Empirical Likelihood Approach," Working Papers 0502, University of Guelph, Department of Economics and Finance.
    8. Lauren Bin Dong & David E. A. Giles, 2004. "An Empirical Likelihood Ratio Test for Normality," Econometrics Working Papers 0401, Department of Economics, University of Victoria.
    9. Lauren Bin Dong, 2004. "The Behrens-Fisher Problem: An Empirical Likelihood Ratio Approach," Econometrics Working Papers 0404, Department of Economics, University of Victoria.
    10. Grendar, Marian & Judge, George G., 2006. "Large Deviations Theory and Empirical Estimator Choice," CUDARE Working Papers 25084, University of California, Berkeley, Department of Agricultural and Resource Economics.
    11. Susanne M. Schennach, 2007. "Point estimation with exponentially tilted empirical likelihood," Papers 0708.1874, arXiv.org.
    12. T. W. Anderson & Naoto Kunitomo & Yukitoshi Matsushita, 2008. "On Finite Sample Properties of Alternative Estimators of Coefficients in a Structural Equation with Many Instruments," CIRJE F-Series CIRJE-F-577, CIRJE, Faculty of Economics, University of Tokyo.
    13. Richard Smith, 2005. "Local GEL methods for conditional moment restrictions," CeMMAP working papers CWP15/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Patrik Guggenberger, 2006. "Finite-Sample Evidence Suggesting a Heavy Tail Problem of the Generalized Empirical Likelihood Estimator, accepted for publication, Econometric Reviews," UCLA Economics Online Papers 371, UCLA Department of Economics.

  15. George Judge & Marco Van_Akkeren, 2000. "Generalized Moment Based Estimation and Inference," Econometric Society World Congress 2000 Contributed Papers 0073, Econometric Society.

    Cited by:

    1. Alexandre Gohin & Fabienne Féménia, 2009. "Estimating Price Elasticities of Food Trade Functions: How Relevant is the CES‐based Gravity Approach?," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 253-272, June.
    2. Fabienne Féménia & Alexandre Gohin, 2009. "Estimating censored and non homothetic demand systems: the generalized maximum entropy approach," Working Papers SMART 09-12, INRAE UMR SMART.
    3. Femenia, Fabienne & Gohin, Alexandre, 2007. "Estimating price elasticities of food trade functions: How relevant is the gravity approach?," Working Papers 7211, TRADEAG - Agricultural Trade Agreements.

  16. Miller, D. & Golan, Amos & Judge, G., 1998. "Information Recovery in Simultaneous Equation Statistical Models," Staff General Research Papers Archive 1319, Iowa State University, Department of Economics.

    Cited by:

    1. Roozbeh, Mahdi, 2018. "Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion," Computational Statistics & Data Analysis, Elsevier, vol. 117(C), pages 45-61.
    2. Bera, Anil K. & Bilias, Yannis, 2002. "The MM, ME, ML, EL, EF and GMM approaches to estimation: a synthesis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 51-86, March.
    3. Marsh, Thomas L. & Mittelhammer, Ronald C. & Cardell, N. Scott, 1998. "A Structural-Equation Gme Estimator," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20890, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Papalia, Rosa Bernardini, 2003. "Modeling the Learning from Repeated Samples: A Generalized Cross Entropy Approach," SFB 373 Discussion Papers 2003,29, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

  17. Golan, Amos & Judge, G. & Miller, D., 1997. "The Maximum Entropy Approach to Estimation and Inference: An Overview," Staff General Research Papers Archive 1327, Iowa State University, Department of Economics.

    Cited by:

    1. Rosa Bernadini Papalia & Silvia Bertarelli, 2013. "Identification and Estimation of Club Convergence Models with Spatial Dependence," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 37(6), pages 2094-2115, November.
    2. Arndt, Channing, 1999. "Demand For Herbicide In Corn: An Entropy Approach Using Micro-Level Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-18, July.
    3. Bera, Anil K. & Bilias, Yannis, 2002. "The MM, ME, ML, EL, EF and GMM approaches to estimation: a synthesis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 51-86, March.
    4. Rosa Bernardini Papalia & Silvia Bertarelli, 2013. "Nonlinearities in economic growth and club convergence," Empirical Economics, Springer, vol. 44(3), pages 1171-1202, June.
    5. Rosa Bernardini Papalia & Silvia Bertarelli & Carlo Filippucci, 2011. "Human capital, technological spillovers and development across OECD countries," Working Papers 15, AlmaLaurea Inter-University Consortium.
    6. Nevo, Aviv, 2002. "Sample selection and information-theoretic alternatives to GMM," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 149-157, March.
    7. Gokhan Ozkaya & Ayse Demirhan, 2022. "Multi-Criteria Analysis of Sustainable Travel and Tourism Competitiveness in Europe and Eurasia," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    8. Rosa Bernardini Papalia & Silvia Bertarelli, 2010. "Evaluating Total Factor Productivity Differences by a Mapping Structure in Growth Models," International Regional Science Review, , vol. 33(1), pages 31-59, January.
    9. Papalia, Rosa Bernardini, 2003. "Modeling the Learning from Repeated Samples: A Generalized Cross Entropy Approach," SFB 373 Discussion Papers 2003,29, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

  18. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.

    Cited by:

    1. Florian Gunsilius & Susanne M. Schennach, 2017. "A nonlinear principal component decomposition," CeMMAP working papers CWP16/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Esteban Fernandez-Vazquez & Alberto Diaz Dapena & Fernando Rubiera-Morollon & Ana Viñuela, 2020. "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(2), pages 809-821, November.
    3. Marsh, Thomas L. & Mittelhammer, Ronald C., 2001. "Adaptive Truncated Estimaton Applied To Maximum Entropy," 2001 Annual Meeting, July 8-11, 2001, Logan, Utah 36169, Western Agricultural Economics Association.
    4. António Xavier & Maria Belem Freitas & Maria do Socorro Rosário & Rui Fragoso, 2016. "Disaggregating Statistical Data at Field Level: An Entropy Approach," CEFAGE-UE Working Papers 2016_06, University of Evora, CEFAGE-UE (Portugal).
    5. Müller, Marc & Sanfo, Safietou & Laube, Wolfram, 2013. "Impact of Changing Seasonal Rainfall Patterns on Rainy-Season Crop Production in the Guinea Savannah of West Africa," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151208, Agricultural and Applied Economics Association.
    6. Arndt, Channing & Cruz, Antonio & Jensen, Henning Tarp & Robinson, Sherman & Tarp, Finn, 1998. "Social accounting matrices for Mozambique, 1994 and 1995:," TMD discussion papers 28, International Food Policy Research Institute (IFPRI).
    7. Eruygur, H.O. & Cakmak, Erol H., 2008. "EU Integration of Turkey: Implications for Turkish Agriculture," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44213, European Association of Agricultural Economists.
    8. Severini, Simone & Valle, Stefano, 2008. "The Abrogation Of Set Aside And The Increase Of Cereal Prices: Can They Revert The Decline Of Cereal Production Generated By Decoupling?," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44782, European Association of Agricultural Economists.
    9. Nguyen Hoa & Tomoko Hasegawa & Yuzuru Matsuoka, 2014. "Climate change mitigation strategies in agriculture, forestry and other land use sectors in Vietnam," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 19(1), pages 15-32, January.
    10. Ackerman, Adam, 2022. "The effect of combat exposure on sexually transmitted diseases," Economics & Human Biology, Elsevier, vol. 46(C).
    11. Frans Willekens, 1999. "Modeling approaches to the indirect estimation of migration flows: From entropy to EM," Mathematical Population Studies, Taylor & Francis Journals, vol. 7(3), pages 239-278.
    12. Wu, Ximing & Perloff, Jeffrey M., 2005. "China's Income Distribution, 1985-2001," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0zd6m0sf, Department of Agricultural & Resource Economics, UC Berkeley.
    13. Axel Tonini & Roel Jongeneel, 2009. "The distribution of dairy farm size in Poland: a markov approach based on information theory," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 55-69.
    14. Ludo Peeters, 2006. "Job Opportunities, Amenities, and Variable Distance-Deterrence Elasticities: An Empirical Model of Inter-Municipal Migration in Belgium," ERSA conference papers ersa06p585, European Regional Science Association.
    15. Golan, Amos & Moretti, Enrico & Perloff, Jeffrey M., 2001. "A Small-Sample Estimator for the Sample-Selection Model," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4c82d2nv, Department of Agricultural & Resource Economics, UC Berkeley.
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  19. Golan, Amos & Judge, George G. & Perloff, Jeffrey M., 1995. "Estimating the size distribution of firms using government summary statistics," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt14b416tk, Department of Agricultural & Resource Economics, UC Berkeley.

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    1. Ira Horowitz, 2000. "The Impact of Competition on Performance Disparities in Organizational Systems," Journal of Sports Economics, , vol. 1(2), pages 151-176, May.
    2. Adrián Rodríguez Valle & Esteban Fernández-Vázquez, 2023. "Estimating market power for the European manufacturing industry between 2000 and 2014," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 141-172, February.
    3. Wu, Ximing & Perloff, Jeffrey M. & Golan, Amos, 2002. "Effects of Government Policies on Income Distribution and Welfare," Institute for Research on Labor and Employment, Working Paper Series qt6jx7h62v, Institute of Industrial Relations, UC Berkeley.
    4. Preckel, Paul V., 1998. "Least Squares And Entropy As Penalty Functions," Staff Papers 28625, Purdue University, Department of Agricultural Economics.
    5. Rigoberto Lopez & Elena Lopez & Carmen Lirón-España, 2014. "Who Benefits from Industrial Concentration? Evidence from U.S. Manufacturing," Journal of Industry, Competition and Trade, Springer, vol. 14(3), pages 303-317, September.
    6. Martin Bod’a, 2017. "Stochastic sensitivity analysis of concentration measures," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 441-471, June.
    7. I. Brezina & J. Pekár & Z. Čičková & M. Reiff, 2016. "Herfindahl–Hirschman index level of concentration values modification and analysis of their change," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 49-72, March.
    8. LaFrance, J. T. & Beatty, T. K. M. & Pope, R. D. & Agnew, G. K., 2002. "Information theoretic measures of the income distribution in food demand," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 235-257, March.
    9. Yves Léony & Ludo Peeters & Maurice Quinqu & Yves Surry, 1999. "The Use of Maximum Entropy to Estimate Input‐Output Coefficients From Regional Farm Accounting Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 425-439, September.
    10. Msangi, Siwa & Howitt, Richard E., 2006. "Estimating Disaggregate Production Functions: An Application to Northern Mexico," 2006 Annual meeting, July 23-26, Long Beach, CA 21080, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Liron-Espana, Carmen & Lopez, Rigoberto A., 2001. "When is Concentration Beneficial?," Research Reports 25201, University of Connecticut, Food Marketing Policy Center.
    12. Wu, Ximing & Perloff, Jeffrey M., 2005. "GMM Estimation of a Maximum Distribution With Interval Data," Institute for Research on Labor and Employment, Working Paper Series qt7jf5w1ht, Institute of Industrial Relations, UC Berkeley.
    13. Ivan Brezina & Juraj Pekár, 2013. "Analýza citlivosti hodnot Herfidalovho-Hirschmanovho indexu slovenského bankového sektora [Sensitivity Analysis of Herfindahl-Hirschman Index on the Slovak Banking Sector]," Politická ekonomie, Prague University of Economics and Business, vol. 2013(6), pages 735-751.
    14. Dazhong Wu & Michael Tannen & Julius Anyu & Sergey Ivanov & Feng Xu, 2023. "Contract manufacturing, market competition, and labor productivity in US manufacturing industries," Operations Management Research, Springer, vol. 16(1), pages 377-390, March.
    15. Rigoberto Lopez & Azzeddine Azzam & Carmen Lirón-España, 2002. "Market Power and/or Efficiency: A Structural Approach," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 20(2), pages 115-126, March.
    16. Joshua Drucker, 2009. "Trends in Regional Industrial Concentration in the United States," Working Papers 09-06, Center for Economic Studies, U.S. Census Bureau.
    17. Qigang Yuan & Yanping Zhao & Hui Shang & Wei Zhang & Zaghum Umar, 2016. "Financing constraints on the size distribution of industrial firms: the Chinese experience," Applied Economics, Taylor & Francis Journals, vol. 48(41), pages 3899-3911, September.
    18. Miljkovic, Dragan & Jin, Hyun Joung & Paul, Rodney, 2007. "The Role of Productivity Growth and Farmers' Income Protection Policies in the Decline of Relative Farm Prices in the United States," Agribusiness & Applied Economics Report 9368, North Dakota State University, Department of Agribusiness and Applied Economics.
    19. Huettel, Silke & Jongeneel, Roelof A., 2009. "Impact of the EU Milk Quota on Structural Change in the Dairy Sectors of Germany and The Netherlands," 2009 Conference, August 16-22, 2009, Beijing, China 50943, International Association of Agricultural Economists.
    20. Kvartiuk, Vasyl & Herzfeld, Thomas & Bukin, Eduard, 2022. "Decentralized public farmland conveyance: Rental rights auctioning in Ukraine," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 114.
    21. Steven C. Michael, 2009. "Entrepreneurial signaling to attract resources: the case of franchising," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 405-422.
    22. Drucker, Joshua & Feser, Edward, 2012. "Regional industrial structure and agglomeration economies: An analysis of productivity in three manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 1-14.
    23. Farhad Sadeh & Manish Kacker, 2018. "Quality signaling through ex-ante voluntary information disclosure in entrepreneurial networks: evidence from franchising," Small Business Economics, Springer, vol. 50(4), pages 729-748, April.
    24. Rigoberto A. Lopez & Azzeddine M. Azzam & Carmen Liron-Espana, 2001. "Market Power and/or Efficiency: An Application to U.S. Food Processing," Food Marketing Policy Center Research Reports 060, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    25. Howitt, Richard E. & Msangi, Siwa, 2002. "Reconstructing Disaggregate Production Functions," 2002 Annual meeting, July 28-31, Long Beach, CA 19585, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    26. Olga Dodd & Bart Frijns & Robin Kaiji Gong & Shushu Liao, 2024. "Board cultural diversity and firm performance under competitive pressures," The Financial Review, Eastern Finance Association, vol. 59(1), pages 89-111, February.
    27. Sunila George & Raghbendra Jha & Hari K. Nagarajan, 2002. "The Evolution and Structure of the Two-wheeler Industry in India," ASARC Working Papers 2002-02, The Australian National University, Australia South Asia Research Centre.
    28. Bhuyan, Sanjib & Lopez, Rigoberto A., 1998. "What Determines Welfare Losses from Oligopoly Power in the Food and Tobacco Industries?," Agricultural and Resource Economics Review, Cambridge University Press, vol. 27(2), pages 258-265, October.

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    Cited by:

    1. G.-Fivos Sargentis & Theano Iliopoulou & Panayiotis Dimitriadis & Nikolaos Mamassis & Demetris Koutsoyiannis, 2021. "Stratification: An Entropic View of Society’s Structure," World, MDPI, vol. 2(2), pages 1-22, March.
    2. Judge, George, 2023. "Information Recovery in Complex Economic Systems," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4jj70102, Department of Agricultural & Resource Economics, UC Berkeley.

  2. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.

    Cited by:

    1. Vicente J. Bolós & Rafael Benítez & Román Ferrer, 2020. "A New Wavelet Tool to Quantify Non-Periodicity of Non-Stationary Economic Time Series," Mathematics, MDPI, vol. 8(5), pages 1-16, May.
    2. Shahriari, Zahra & Nazarimehr, Fahimeh & Rajagopal, Karthikeyan & Jafari, Sajad & Perc, Matjaž & Svetec, Milan, 2022. "Cryptocurrency price analysis with ordinal partition networks," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    3. Andres M. Kowalski & Mariela Portesi & Victoria Vampa & Marcelo Losada & Federico Holik, 2022. "Entropy-Based Informational Study of the COVID-19 Series of Data," Mathematics, MDPI, vol. 10(23), pages 1-16, December.

  3. Aurelio F. Bariviera & Angelo Plastino & George Judge, 2018. "Spurious Seasonality Detection: A Non-Parametric Test Proposal," Econometrics, MDPI, vol. 6(1), pages 1-15, January.
    See citations under working paper version above.
  4. Villas-Boas, Sofia B. & Fu, Qiuzi & Judge, George, 2017. "Benford’s law and the FSD distribution of economic behavioral micro data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 711-719.
    See citations under working paper version above.
  5. George Judge, 2016. "Some Comments on the Current State of Econometrics," Annual Review of Resource Economics, Annual Reviews, vol. 8(1), pages 1-6, October.

    Cited by:

    1. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.

  6. George Judge, 2016. "Econometric Information Recovery in Behavioral Networks," Econometrics, MDPI, vol. 4(3), pages 1-11, September.

    Cited by:

    1. George Judge, 2018. "Micro-Macro Connected Stochastic Dynamic Economic Behavior Systems," Econometrics, MDPI, vol. 6(4), pages 1-14, December.

  7. Wendy K. Tam Cho & George Judge, 2015. "An information theoretic approach to network tomography," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 1-6, January.

    Cited by:

    1. George Judge, 2015. "Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems," Econometrics, MDPI, vol. 3(1), pages 1-10, February.
    2. Tiziano Squartini & Guido Caldarelli & Giulio Cimini & Andrea Gabrielli & Diego Garlaschelli, 2018. "Reconstruction methods for networks: the case of economic and financial systems," Papers 1806.06941, arXiv.org.

  8. Tiziano Squartini & Enrico Ser-Giacomi & Diego Garlaschelli & George Judge, 2015. "Information Recovery in Behavioral Networks," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-11, May.

    Cited by:

    1. George Judge, 2018. "Micro-Macro Connected Stochastic Dynamic Economic Behavior Systems," Econometrics, MDPI, vol. 6(4), pages 1-14, December.
    2. George Judge, 2016. "Econometric Information Recovery in Behavioral Networks," Econometrics, MDPI, vol. 4(3), pages 1-11, September.
    3. Tiziano Squartini & Guido Caldarelli & Giulio Cimini & Andrea Gabrielli & Diego Garlaschelli, 2018. "Reconstruction methods for networks: the case of economic and financial systems," Papers 1806.06941, arXiv.org.

  9. Douglas J. Miller & George Judge, 2015. "Information Recovery in a Dynamic Statistical Markov Model," Econometrics, MDPI, vol. 3(2), pages 1-12, March.

    Cited by:

    1. Gourieroux, C. & Jasiak, J., 2023. "Time varying Markov process with partially observed aggregate data: An application to coronavirus," Journal of Econometrics, Elsevier, vol. 232(1), pages 35-51.
    2. George Judge, 2018. "Micro-Macro Connected Stochastic Dynamic Economic Behavior Systems," Econometrics, MDPI, vol. 6(4), pages 1-14, December.
    3. Judge, George, 2023. "Information Recovery in Complex Economic Systems," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4jj70102, Department of Agricultural & Resource Economics, UC Berkeley.
    4. Maples, Chellie H. & Hagerman, Amy D. & Lambert, Dayton M., 2022. "Ex-ante effects of the 2018 Agricultural Improvement Act’s grassland initiative," Land Use Policy, Elsevier, vol. 116(C).
    5. George Judge, 2016. "Econometric Information Recovery in Behavioral Networks," Econometrics, MDPI, vol. 4(3), pages 1-11, September.

  10. Sofia B. Villas-Boas & Qiuzi Fu & George Judge, 2015. "Is Benford’s Law a Universal Behavioral Theory?," Econometrics, MDPI, vol. 3(4), pages 1-11, October.
    See citations under working paper version above.
  11. George Judge, 2015. "Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems," Econometrics, MDPI, vol. 3(1), pages 1-10, February.

    Cited by:

    1. George Judge, 2018. "Micro-Macro Connected Stochastic Dynamic Economic Behavior Systems," Econometrics, MDPI, vol. 6(4), pages 1-14, December.
    2. Villas-Boas, Sofia & Fu, Qiuzi & Judge, George, 2015. "Is Benford's Law a Universal Behavioral Theory?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6x45h2fw, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Judge, George, 2023. "Information Recovery in Complex Economic Systems," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4jj70102, Department of Agricultural & Resource Economics, UC Berkeley.
    4. Ellis Scharfenaker & Duncan Foley, 2017. "Maximum Entropy Estimation of Statistical Equilibrium in Economic Quantal Response Models," Working Papers 1710, New School for Social Research, Department of Economics, revised May 2017.

  12. Martín, M.T. & Plastino, A. & Vampa, V. & Judge, G., 2014. "A parametric, information-theory model for predictions in time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 63-69.

    Cited by:

    1. Bariviera, Aurelio F. & Martín, María T. & Plastino, Angelo & Vampa, Victoria, 2016. "LIBOR troubles: Anomalous movements detection based on maximum entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 401-407.

  13. Mittelhammer, Ron C. & Judge, George, 2011. "A family of empirical likelihood functions and estimators for the binary response model," Journal of Econometrics, Elsevier, vol. 164(2), pages 207-217, October.

    Cited by:

    1. Bhat, Chandra R. & Astroza, Sebastian & Hamdi, Amin S., 2017. "A spatial generalized ordered-response model with skew normal kernel error terms with an application to bicycling frequency," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 126-148.
    2. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.
    3. Henry, Miguel & Mittelhammer, Ron & Loomis, John, 2018. "An Information-Theoretic Approach to Estimating Willingness To Pay for River Recreation Site Attributes," MPRA Paper 89842, University Library of Munich, Germany.
    4. Chandra R. Bhat & Patrícia S. Lavieri, 2018. "A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions," Theory and Decision, Springer, vol. 84(2), pages 239-275, March.
    5. Tiziano Squartini & Enrico Ser-Giacomi & Diego Garlaschelli & George Judge, 2015. "Information Recovery in Behavioral Networks," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-11, May.
    6. George Judge, 2015. "Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems," Econometrics, MDPI, vol. 3(1), pages 1-10, February.
    7. George Judge, 2016. "Econometric Information Recovery in Behavioral Networks," Econometrics, MDPI, vol. 4(3), pages 1-11, September.
    8. Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123432, Agricultural and Applied Economics Association.

  14. Rosa Abrantes-Metz & Sofia Villas-Boas & George Judge, 2011. "Tracking the Libor rate," Applied Economics Letters, Taylor & Francis Journals, vol. 18(10), pages 893-899.
    See citations under working paper version above.
  15. Lee, Joanne & Cho, Wendy K. Tam & Judge, George G., 2010. "Stigler's approach to recovering the distribution of first significant digits in natural data sets," Statistics & Probability Letters, Elsevier, vol. 80(2), pages 82-88, January.
    See citations under working paper version above.
  16. George Judge & Laura Schechter, 2009. "Detecting Problems in Survey Data Using Benford’s Law," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).

    Cited by:

    1. Bernhard Rauch & Max Göttsche & Gernot Brähler & Stefan Engel, 2011. "Fact and Fiction in EU‐Governmental Economic Data," German Economic Review, Verein für Socialpolitik, vol. 12(3), pages 243-255, August.
    2. Cheng Zhao & Chong Alex Wang, 2023. "A cross-site comparison of online review manipulation using Benford’s law," Electronic Commerce Research, Springer, vol. 23(1), pages 365-406, March.
    3. Beegle,Kathleen G. & Carletto,Calogero & Kastelic,Kristen Himelein & Beegle,Kathleen G. & Carletto,Calogero & Kastelic,Kristen Himelein, 2011. "Reliability of recall in agricultural data," Policy Research Working Paper Series 5671, The World Bank.
    4. Hatice Uenal & David Hampel, 2017. "Economic Aspects of the Missing Data Problem - the Case of the Patient Registry," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(5), pages 1779-1791.
    5. Villas-Boas, Sofia B. & Fu, Qiuzi & Judge, George, 2017. "Benford’s law and the FSD distribution of economic behavioral micro data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 711-719.
    6. Dominique Geyer & Christoph Drechsler, 2014. "Detecting Cosmetic Debt Management Using Benford's Law," Post-Print hal-01059758, HAL.
    7. M. Jayasree & C. S. Pavana Jyothi & P. Ramya, 2018. "Benford’s Law and Stock Market—The Implications for Investors: The Evidence from India Nifty Fifty," Jindal Journal of Business Research, , vol. 7(2), pages 103-121, December.
    8. Ronelle Burger & Canh Thien Dang & Trudy Owens, 2017. "Better performing NGOs do report more accurately: Evidence from investigating Ugandan NGO financial accounts," Discussion Papers 2017-10, University of Nottingham, CREDIT.
    9. Juan Miguel Campanario & María Angeles Coslado, 2011. "Benford’s law and citations, articles and impact factors of scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 421-432, August.
    10. Ausloos, M. & Herteliu, C. & Ileanu, B., 2015. "Breakdown of Benford’s law for birth data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 736-745.
    11. Stefan Günnel & Karl-Heinz Tödter, 2009. "Does Benford’s Law hold in economic research and forecasting?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(3), pages 273-292, August.
    12. Lin, Fengyi & Lin, Li-Jung & Yeh, Chin-Chen & Wang, Teng-Shih, 2018. "Does the board of directors as Fat Cats exert more earnings management? Evidence from Benford’s law," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 158-170.
    13. Mr. Jesus R Gonzalez-Garcia & Mr. Gonzalo C Pastor Campos, 2009. "Benford’s Law and Macroeconomic Data Quality," IMF Working Papers 2009/010, International Monetary Fund.
    14. Jing Shi & Marcel Ausloos & Tingting Zhu, 2017. "Benford's law first significant digit and distribution distances for testing the reliability of financial reports in developing countries," Papers 1712.00131, arXiv.org.
    15. Abrantes-Metz, Rosa M. & Kraten, Michael & Metz, Albert D. & Seow, Gim S., 2012. "Libor manipulation?," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 136-150.
    16. Wang, Delu & Chen, Fan & Mao, Jinqi & Liu, Nannan & Rong, Fangyu, 2022. "Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries," Energy Economics, Elsevier, vol. 114(C).
    17. Bogdan Vasile Ileanu & Marcel Ausloos & Claudiu Herteliu & Marian Pompiliu Cristescu, 2019. "Intriguing behavior when testing the impact of quotation marks usage in Google search results," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2507-2519, September.
    18. Paulette Clippe & Marcel Ausloos, 2012. "Benford's law and Theil transform of financial data," Papers 1208.5896, arXiv.org.
    19. Chegere, Martin Julius, 2018. "Post-harvest losses reduction by small-scale maize farmers: The role of handling practices," Food Policy, Elsevier, vol. 77(C), pages 103-115.
    20. Arráiz, Irani & Calero, Carla & Jin, Songqing & Peralta, Alexandra, 2015. "Planting the Seeds: The Impact of Training on Mango Producers in Haiti," IDB Publications (Working Papers) 7184, Inter-American Development Bank.
    21. Chen, Yi & Fan, Ziying & Gu, Xiaomin & Zhou, Li-An, 2018. "Arrival of Young Talents: The Send-down Movement and Rural Education in China," GLO Discussion Paper Series 272, Global Labor Organization (GLO).
    22. Hansen, Bradley A. & Hansen, Mary Eschelbach, 2016. "The historian's craft and economics," Journal of Institutional Economics, Cambridge University Press, vol. 12(2), pages 349-370, June.
    23. Neher, Frank, 2012. "Preferences for Redistribution around the World," Working Papers 26/2012, Universidade Portucalense, Centro de Investigação em Gestão e Economia (CIGE).
    24. Auffhammer, Maximilian & Carson, Richard T., 2008. "Forecasting the path of China's CO2 emissions using province-level information," Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 229-247, May.
    25. Ragui Assaad & Caroline Krafft & Shaimaa Yassin, 2018. "Comparing retrospective and panel data collection methods to assess labor market dynamics," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-34, December.
    26. Holz, Carsten, 2013. "The Quality of China's GDP Statistics," MPRA Paper 51864, University Library of Munich, Germany.
    27. Kibrom A. Abay & Leah E. M. Bevis & Christopher B. Barrett, 2021. "Measurement Error Mechanisms Matter: Agricultural Intensification with Farmer Misperceptions and Misreporting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 498-522, March.
    28. Villas-Boas, Sofia B & Judge, George & Abrantes-Metz, Rosa, 2011. "Tracking the Libor Rate," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0g79j32p, Department of Agricultural & Resource Economics, UC Berkeley.
    29. Neher, Frank, 2012. "Preferences for redistribution around the world," Discussion Papers 2012/2, Free University Berlin, School of Business & Economics.
    30. Macours, Karen & Laajaj, Rachid, 2018. "Measuring Skills in Developing Countries," CEPR Discussion Papers 13271, C.E.P.R. Discussion Papers.
    31. Theoharry Grammatikos & Nikolaos I. Papanikolaou, 2021. "Applying Benford’s Law to Detect Accounting Data Manipulation in the Banking Industry," Journal of Financial Services Research, Springer;Western Finance Association, vol. 59(1), pages 115-142, April.
    32. Bernhard Rauch & Max G�ttsche & Stephan Langenegger, 2014. "Detecting Problems in Military Expenditure Data Using Digital Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(2), pages 97-111, April.
    33. McDonald, Bruce D. III & Goodman, Christopher B, 2020. "The Truth about Honesty in the Nonprofit Sector," SocArXiv 48g5c, Center for Open Science.
    34. Montag, Josef, 2017. "Identifying odometer fraud in used car market data," Transport Policy, Elsevier, vol. 60(C), pages 10-23.
    35. Kalaichelvan, Mohandass & Lim Kai Jie, Shawn, 2012. "A Critical Evaluation of the Significance of Round Numbers in European Equity Markets in Light of the Predictions from Benford’s Law," MPRA Paper 40960, University Library of Munich, Germany.
    36. Sammy Zahran & Terrence Iverson & Stephan Weiler & Anthony Underwood, 2014. "Evidence that the accuracy of self-reported lead emissions data improved: A puzzle and discussion," Journal of Risk and Uncertainty, Springer, vol. 49(3), pages 235-257, December.
    37. Matthew A. Cole & David J. Maddison & Liyun Zhang, 2020. "Testing the emission reduction claims of CDM projects using the Benford’s Law," Climatic Change, Springer, vol. 160(3), pages 407-426, June.
    38. Pater, Ciprian Florin & Mazrekaj, Deni, 2020. "Power Laws, Prices and National Accounts: Are There Any Irregularities?," SocArXiv gwha2, Center for Open Science.
    39. Malik, Samreen & Mihm, Benedikt & von Suchodoletz, Antje, 2022. "COVID-19 lockdowns and children’s health and well-being," Journal of Economic Psychology, Elsevier, vol. 93(C).
    40. Marcel Ausloos & Rosella Castellano & Roy Cerqueti, 2016. "Regularities and Discrepancies of Credit Default Swaps: a Data Science approach through Benford's Law," Papers 1603.01103, arXiv.org.
    41. T. Mir, 2016. "The leading digit distribution of the worldwide illicit financial flows," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(1), pages 271-281, January.
    42. Vadim S. Balashov & Yuxing Yan & Xiaodi Zhu, 2020. "Who Manipulates Data During Pandemics? Evidence from Newcomb-Benford Law," Papers 2007.14841, arXiv.org, revised Jan 2021.
    43. Willis A. Jones, 2020. "A Benford Analysis of National Collegiate Athletic Association Division I Finance Data," Journal of Sports Economics, , vol. 21(3), pages 234-255, April.
    44. Price Gregory N. & Elu Juliet U., 2017. "Climate Change and Cross-State Islamist Terrorism in Nigeria," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 23(3), pages 1-13, August.
    45. Bardasi, Elena & Beegle, Kathleen & Dillon, Andrew & Serneels, Pieter, 2010. "Do Labor Statistics Depend on How and to Whom the Questions Are Asked? Results from a Survey Experiment in Tanzania," IZA Discussion Papers 4733, Institute of Labor Economics (IZA).
    46. Tariq Ahmad Mir & Marcel Ausloos & Roy Cerqueti, 2014. "Benford's law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions," Papers 1410.2890, arXiv.org.
    47. Eglė Baltranaitė & Loreta Kelpšaitė-Rimkienė & Ramūnas Povilanskas & Ilona Šakurova & Vitalijus Kondrat, 2021. "Measuring the Impact of Physical Geographical Factors on the Use of Coastal Zones Based on Bayesian Networks," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    48. Masset, Edoardo & García-Hombrados, Jorge & Acharya, Arnab, 2020. "Aiming high and falling low: The SADA-Northern Ghana Millennium Village Project," Journal of Development Economics, Elsevier, vol. 143(C).
    49. Parnes, Dror, 2022. "Banks' off-balance sheet manipulations," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 314-331.
    50. Montag, Josef, 2015. "Identifying Odometer Fraud: Evidence from the Used Car Market in the Czech Republic," MPRA Paper 65182, University Library of Munich, Germany.
    51. Fernando M. Aragon & Diego Restuccia & Juan Pablo Rud, 2024. "Assessing misallocation in agriculture: plots versus farms," Working Papers tecipa-769, University of Toronto, Department of Economics.
    52. Demir, Banu & Javorcik, Beata, 2020. "Trade policy changes, tax evasion and Benford's law," Journal of Development Economics, Elsevier, vol. 144(C).
    53. Ioana Sorina Deleanu, 2017. "Do Countries Consistently Engage in Misinforming the International Community about Their Efforts to Combat Money Laundering? Evidence Using Benford’s Law," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-19, January.
    54. Brähler, Gernot & Bensmann, Markus & Emke, Anna-Lena, 2010. "Der Einsatz mathematisch-statistischer Methoden in der digitalen Betriebsprüfung," Ilmenauer Schriften zur Betriebswirtschaftslehre, Technische Universität Ilmenau, Institut für Betriebswirtschaftslehre, volume 4, number 42010.
    55. Lee, Joanne & Judge, George G., 2008. "Identifying falsified clinical data," CUDARE Working Papers 47001, University of California, Berkeley, Department of Agricultural and Resource Economics.
    56. Sitsofe Tsagbey & Miguel de Carvalho & Garritt L. Page, 2017. "All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing," The American Statistician, Taylor & Francis Journals, vol. 71(3), pages 231-235, July.
    57. Ausloos, Marcel & Cerqueti, Roy & Lupi, Claudio, 2017. "Long-range properties and data validity for hydrogeological time series: The case of the Paglia river," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 39-50.
    58. Adam Chamberlain & Alixandra B. Yanus, 2021. "Evaluating federated voluntary associations’ membership data: An application of Benford's Law," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 1590-1601, July.
    59. David E. Giles, 2012. "Exact Asymptotic Goodness-of-Fit Testing For Discrete Circular Data, With Applications," Econometrics Working Papers 1201, Department of Economics, University of Victoria.
    60. Paul A. Ervin & Lyliana Gayoso de Ervin & Jose R. Molinas Vega & Flavia G. Sacco, 2018. "Multidimensional Poverty in Paraguay: Trends from 2000 to 2015," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 1035-1076, December.
    61. Aldashev, Gani & Guirkinger, Catherine, 2012. "Deadly anchor: Gender bias under Russian colonization of Kazakhstan," Explorations in Economic History, Elsevier, vol. 49(4), pages 399-422.
    62. Mir, T.A., 2014. "The Benford law behavior of the religious activity data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 1-9.
    63. González Fernando Antonio Ignacio, 2019. "Detecting Anomalous Data in Household Surveys: Evidence for Argentina," Journal of Social and Economic Statistics, Sciendo, vol. 8(2), pages 1-10, December.
    64. Faraji Kasidi & H. Chaturvedi & Rahul Singh, 2010. "Detecting Data Error and Inaccuracy," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(4), pages 405-425, November.

  17. Cho, Wendy K. Tam & Judge, George G., 2007. "Information theoretic solutions for correlated bivariate processes," Economics Letters, Elsevier, vol. 97(3), pages 201-207, December.

    Cited by:

    1. George Judge, 2015. "Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems," Econometrics, MDPI, vol. 3(1), pages 1-10, February.
    2. George Judge, 2016. "Econometric Information Recovery in Behavioral Networks," Econometrics, MDPI, vol. 4(3), pages 1-11, September.

  18. Grendar, Marian & Judge, George & Schechter, Laura, 2007. "An empirical non-parametric likelihood family of data-based Benford-like distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 429-438.

    Cited by:

    1. Villas-Boas, Sofia B. & Fu, Qiuzi & Judge, George, 2017. "Benford’s law and the FSD distribution of economic behavioral micro data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 711-719.
    2. Lee, Joanne & Cho, Wendy K. Tam & Judge, George G., 2010. "Stigler's approach to recovering the distribution of first significant digits in natural data sets," Statistics & Probability Letters, Elsevier, vol. 80(2), pages 82-88, January.
    3. Paul Hofmarcher & Kurt Hornik, 2013. "First Significant Digits and the Credit Derivative Market During the Financial Crisis," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    4. George Judge & Laura Schechter, 2009. "Detecting Problems in Survey Data Using Benford’s Law," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    5. Villas-Boas, Sofia & Fu, Qiuzi & Judge, George, 2015. "Is Benford's Law a Universal Behavioral Theory?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6x45h2fw, Department of Agricultural & Resource Economics, UC Berkeley.
    6. Morrow, John, 2014. "Benford's Law, families of distributions and a test basis," LSE Research Online Documents on Economics 60364, London School of Economics and Political Science, LSE Library.
    7. Lee, Joanne & Judge, George G., 2008. "Identifying falsified clinical data," CUDARE Working Papers 47001, University of California, Berkeley, Department of Agricultural and Resource Economics.

  19. Judge, George G. & Mittelhammer, Ron C., 2007. "Estimation and inference in the case of competing sets of estimating equations," Journal of Econometrics, Elsevier, vol. 138(2), pages 513-531, June.

    Cited by:

    1. Francis J. DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 14-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Dec 2014.
    2. Minsu Chang & Francis J. DiTraglia, 2020. "A Generalized Focused Information Criterion for GMM," Papers 2011.07085, arXiv.org.
    3. DiTraglia, Francis J., 2016. "Using invalid instruments on purpose: Focused moment selection and averaging for GMM," Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
    4. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
    5. Francis DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 15-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 10 Aug 2015.

  20. Mittelhammer, Ron C. & Judge, George G., 2005. "Combining estimators to improve structural model estimation and inference under quadratic loss," Journal of Econometrics, Elsevier, vol. 128(1), pages 1-29, September.

    Cited by:

    1. Miller, Douglas J. & Mittelhammer, Ronald C. & Judge, George G., 2004. "Entropy-Based Estimation And Inference In Binary Response Models Under Endogeneity," 2004 Annual meeting, August 1-4, Denver, CO 20319, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Judge, George G. & Mittelhammer, Ronald C., 2004. "Estimating the Link Function in Multinomial Response Models under Endogeneity and Quadratic Loss," CUDARE Working Papers 25095, University of California, Berkeley, Department of Agricultural and Resource Economics.
    3. Breusch, Trevor & Ward, Michael B. & Nguyen, Hoa Thi Minh & Kompas, Tom, 2011. "On the Fixed-Effects Vector Decomposition," Political Analysis, Cambridge University Press, vol. 19(2), pages 123-134, April.
    4. Judge, George G. & Mittelhammer, Ron C., 2007. "Estimation and inference in the case of competing sets of estimating equations," Journal of Econometrics, Elsevier, vol. 138(2), pages 513-531, June.
    5. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
    6. Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2020. "Empirical MSE Minimization to Estimate a Scalar Parameter," Papers 2006.14667, arXiv.org.

  21. Judge G.G. & Mittelhammer R.C., 2004. "A Semiparametric Basis for Combining Estimation Problems Under Quadratic Loss," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 479-487, January.
    See citations under working paper version above.
  22. Mittelhammer R. & Judge G. & van Akkeren M. & Cardell N.S., 2002. "Coordinate Based Empirical Likelihood-Like Estimation in Ill-Conditioned Inverse Problems," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1108-1121, December.

    Cited by:

    1. Thomas Heckelei & Wolfgang Britz, 2000. "Positive Mathematical Programming with Multiple Data Points: A Cross-Sectional Estimation Procedure," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 57, pages 27-50.
    2. Marco van Akkeren, 2003. "An Information Theoretic Approach to Estimation in the Case of Multicollinearity," Computational Economics, Springer;Society for Computational Economics, vol. 22(1), pages 1-22, August.

  23. van Akkeren, Marco & Judge, George & Mittelhammer, Ron, 2002. "Generalized moment based estimation and inference," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 127-148, March.
    See citations under working paper version above.
  24. Harris, R. I. D. & Judge, G., 1998. "Small sample testing for cointegration using the bootstrap approach," Economics Letters, Elsevier, vol. 58(1), pages 31-37, January.

    Cited by:

    1. Trenkler, Carsten, 2004. "Determining p-values for Systems Cointegration Tests With a Prior Adjustment for Deterministic Terms," Papers 2004,37, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    2. 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.
    3. Frederick Wallace, 2013. "Cointegration tests of purchasing power parity," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(4), pages 779-802, December.
    4. Alfredo M. Pereira & Maria de Fátima Pinho, 2006. "Public Investment and Budgetary Consolidation in Portugal," Working Papers 41, Department of Economics, College of William and Mary.
    5. Dimitrios Papaikonomou & Jacinta Pires, 2005. "Are US Output Expectations Unbiased? A Cointegrated VAR Analysis in Real Time," Money Macro and Finance (MMF) Research Group Conference 2005 59, Money Macro and Finance Research Group.
    6. Ahlgren, Niklas & Antell, Jan, 2006. "Bootstrap and Fast Double Bootstrap Tests of Cointegration Rank with Financial Time Series," Working Papers 519, Hanken School of Economics.
    7. Cavaliere, Giuseppe & Rahbek, Anders & Taylor, A.M. Robert, 2010. "Cointegration Rank Testing Under Conditional Heteroskedasticity," Econometric Theory, Cambridge University Press, vol. 26(6), pages 1719-1760, December.
    8. Kirstin Hubrich & Helmut Lutkepohl & Pentti Saikkonen, 2001. "A Review Of Systems Cointegration Tests," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 247-318.
    9. Jaramillo Franco, Miguel & Serván Lozano, Sergio, 2012. "Modeling exchange rate dynamics in Peru: A cointegration approach using the UIP and PPP," MPRA Paper 70772, University Library of Munich, Germany.
    10. Frederick H. Wallace, 2017. "Purchasing power parity in Mexico since 1933," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-18, December.
    11. Joshua Olusegun Ajetomobi, 2015. "Market Power in Nigerian Domestic Cocoa Supply Chain," Working Papers 294, African Economic Research Consortium, Research Department.
    12. Guiseppe Cavaliere & Anders Rahbek & A.M.Robert Taylor, 2010. "Bootstrap Sequential Determination of the Co-integration Rank in VAR Models," CREATES Research Papers 2010-07, Department of Economics and Business Economics, Aarhus University.
    13. Melike E. Bildirici & Sema Yılmaz Genç & Rui Alexandre Castanho, 2022. "Environmental Pollution, Terrorism, and Mortality Rate in China, India, Russia, and Türkiye," Sustainability, MDPI, vol. 14(19), pages 1-11, October.
    14. Trenkler, Carsten, 2009. "Bootstrapping Systems Cointegration Tests With A Prior Adjustment For Deterministic Terms," Econometric Theory, Cambridge University Press, vol. 25(1), pages 243-269, February.
    15. Bergström, Pål, 1999. "Bootstrap Methods and Applications in Econometrics - A Brief Survey," Working Paper Series 1999:2, Uppsala University, Department of Economics.
    16. Giuseppe Cavaliere & Anders Rahbek & A. M. Robert Taylor, 2009. "Co-integration rank tests under conditional heteroskedasticity," Discussion Papers 09/02, University of Nottingham, Granger Centre for Time Series Econometrics.
    17. Kosei Fukuda, 2011. "Cointegration rank switching model: an application to forecasting interest rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(5), pages 509-522, August.

  25. Golan, Amos & Judge, George & Perloff, Jeffrey, 1997. "Estimation and inference with censored and ordered multinomial response data," Journal of Econometrics, Elsevier, vol. 79(1), pages 23-51, July.

    Cited by:

    1. Golan, Amos & Moretti, Enrico & Perloff, Jeffrey M., 2001. "A Small-Sample Estimator for the Sample-Selection Model," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4c82d2nv, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    3. Petsakos, Athanasios & Rozakis, Stelios, 2015. "Calibration of agricultural risk programming models," European Journal of Operational Research, Elsevier, vol. 242(2), pages 536-545.
    4. Wang, Yafeng & Graham, Brett, 2009. "Generalized Maximum Entropy estimation of discrete sequential move games of perfect information," MPRA Paper 21331, University Library of Munich, Germany.
    5. Alexandre Gohin & Fabienne Féménia, 2009. "Estimating Price Elasticities of Food Trade Functions: How Relevant is the CES‐based Gravity Approach?," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 253-272, June.
    6. Balcombe, Kelvin, 2006. "Cross-Entropy Estimation of Linear Cointegrated Equations," MPRA Paper 15100, University Library of Munich, Germany.
    7. Fabienne Féménia & Alexandre Gohin, 2009. "Estimating censored and non homothetic demand systems: the generalized maximum entropy approach," Working Papers SMART 09-12, INRAE UMR SMART.
    8. Karantininis, Kostas, 2001. "Information Based Estimators for the Non-Stationary Transition Probability Matrix: An Application to the Danish Pork Industry," Unit of Economics Working Papers 24198, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
    9. Yves Léony & Ludo Peeters & Maurice Quinqu & Yves Surry, 1999. "The Use of Maximum Entropy to Estimate Input‐Output Coefficients From Regional Farm Accounting Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 425-439, September.
    10. Blanca Moreno & María T García-à lvarez, 2017. "Analyzing the impact of fossil fuel import reliance on electricity prices: The case of the Iberian Electricity Market," Energy & Environment, , vol. 28(7), pages 687-705, November.
    11. 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.
    12. Qiuqiong Huang & Richard Howitt & Scott Rozelle, 2012. "Estimating production technology for policy analysis: trading off precision and heterogeneity," Journal of Productivity Analysis, Springer, vol. 38(2), pages 219-233, October.
    13. R. Carter Hill & Randall C. Campbell, 2001. "Maximum Entropy Estimation in Economic Models with Linear Inequality Restrictions," Departmental Working Papers 2001-11, Department of Economics, Louisiana State University.
    14. Pierre-Alain Jayet & Athanasios Petsakos & Raja Chakir & Anna Lungarska & Stéphane De Cara & Elvire Petel & Pierre Humblot & Caroline Godard & David Leclère & Pierre Cantelaube & Cyril Bourgeois & Mél, 2023. "The European agro-economic model AROPAj," Working Papers hal-04109872, HAL.
    15. Caputo, Michael R. & Paris, Quirino, 2008. "Comparative statics of the generalized maximum entropy estimator of the general linear model," European Journal of Operational Research, Elsevier, vol. 185(1), pages 195-203, February.
    16. Alfons Lansink & Elvira Silva & Spiro Stefanou, 2001. "Inter-Firm and Intra-Firm Efficiency Measures," Journal of Productivity Analysis, Springer, vol. 15(3), pages 185-199, May.
    17. Femenia, Fabienne & Gohin, Alexandre, 2007. "Estimating price elasticities of food trade functions: How relevant is the gravity approach?," Working Papers 7211, TRADEAG - Agricultural Trade Agreements.
    18. Yafeng Wang & Brett Graham, 2013. "Generalized Maximum Entropy Estimation of Discrete Sequential Move Games of Perfect Information," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    19. Meurs, Mieke & Slavchevska, Vanya, 2014. "Doing it all: Women’s employment and reproductive work in Tajikistan," Journal of Comparative Economics, Elsevier, vol. 42(3), pages 786-803.

  26. Golan, Amos & Judge, George & Perloff, Jeffrey M, 1996. "Estimating the Size Distribution of Firms Using Government Summary Statistics," Journal of Industrial Economics, Wiley Blackwell, vol. 44(1), pages 69-80, March.
    See citations under working paper version above.
  27. Golan, Amos & Judge, George & Karp, Larry, 1996. "A maximum entropy approach to estimation and inference in dynamic models or Counting fish in the sea using maximum entropy," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 559-582, April.

    Cited by:

    1. Lisa Baldi & Filippo Arfini & Sara Calzolai & Michele Donati, 2023. "An Impact Assessment of GHG Taxation on Emilia-Romagna Dairy Farms through an Agent-Based Model Based on PMP," Land, MDPI, vol. 12(7), pages 1-24, July.
    2. McCluskey, Jill & Rausser, Gordon C., 2000. "Estimation of perceived risk and its effect on property values," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt46x0r71b, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Kaplan, Jonathan D. & Howitt, Richard E. & Farzin, Y. Hossein, 2003. "An information-theoretical analysis of budget-constrained nonpoint source pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 46(1), pages 106-130, July.
    4. Baerenklau, Kenneth A., 2004. "Simulating the Effects of a Green Payment Program on the Diffusion Rate of a Conservation Technology," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 33(1), pages 1-17, April.
    5. Zheng, Y. & Gohin, A., 2018. "Estimating dynamic stochastic decision models: explore the generalized maximum entropy alternative," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276001, International Association of Agricultural Economists.
    6. Chen, Ming & Karp, Larry, 2001. "Environmental Indices for the Chinese Grain Sector," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt20b782tc, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Zheng, Yu & Alexandre, Gohin, 2018. "Agricultural productivity and price volatility in France: a dynamic stochastic partial equilibrium approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274354, Agricultural and Applied Economics Association.
    8. Smith, Martin D. & Sanchirico, James N. & Wilen, James E., 2009. "The economics of spatial-dynamic processes: Applications to renewable resources," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 104-121, January.
    9. Yves Léony & Ludo Peeters & Maurice Quinqu & Yves Surry, 1999. "The Use of Maximum Entropy to Estimate Input‐Output Coefficients From Regional Farm Accounting Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 425-439, September.
    10. Arndt, Channing, 1999. "Demand For Herbicide In Corn: An Entropy Approach Using Micro-Level Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-18, July.
    11. Baerenklau, Kenneth A., 2005. "Some Simulation Results for a Green Insurance Mechanism," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(1), pages 1-15, April.
    12. Fernandez, Linda, 1997. "Estimation of Wastewater Treatment Objectives through Maximum Entropy," Journal of Environmental Economics and Management, Elsevier, vol. 32(3), pages 293-308, March.
    13. Lisa Baldi & Arfini, Filippo & Calzolai, Sara & Donati, Michele, 2023. "CAP reform and GHG emissions: policy assessment using a PMP agent-based model," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334520, Agricultural Economics Society - AES.
    14. 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.
    15. Samira Shayanmehr & Jana Ivanič Porhajašová & Mária Babošová & Mahmood Sabouhi Sabouni & Hosein Mohammadi & Shida Rastegari Henneberry & Naser Shahnoushi Foroushani, 2022. "The Impacts of Climate Change on Water Resources and Crop Production in an Arid Region," Agriculture, MDPI, vol. 12(7), pages 1-22, July.
    16. Springborn, Michael & Sanchirico, James N., 2013. "A density projection approach for non-trivial information dynamics: Adaptive management of stochastic natural resources," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 609-624.
    17. Luca Zanin, 2021. "On the estimation of Okun’s coefficient in some countries in Latin America: a comparison between OLS and GME estimators," Empirical Economics, Springer, vol. 60(3), pages 1575-1592, March.
    18. 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.
    19. Liu, Weiping & Radmehr, Riza & Zhang, Shichao & Rastegari Henneberry, Shida & Wei, Chaofu, 2020. "Driving mechanism of concentrated rural resettlement in upland areas of Sichuan Basin: A perspective of marketing hierarchy transformation," Land Use Policy, Elsevier, vol. 99(C).
    20. Amjad D. Al-Nasser, 2005. "Customer Satisfaction Measurement Models: Generalised Maximum Entropy Approach," Econometrics 0503013, University Library of Munich, Germany.

  28. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-549, August.

    Cited by:

    1. Klein, Alexander & Crafts, Nicholas, 2023. "Unconditional Convergence in Manufacturing Productivity across U.S. States: What the Long-Run Data Show," CAGE Online Working Paper Series 660, Competitive Advantage in the Global Economy (CAGE).
    2. Carmen Rodríguez Morilla & Gaspar Llanes Díaz-Salazar & Manuel Alejandro Cardenete, "undated". "Estimación anual de matrices de contabilidad social: Aplicación a la economía espanola para los anos 1995 Y 1998," Studies on the Spanish Economy 176, FEDEA.
    3. Arndt, Channing & Cruz, Antonio & Jensen, Henning Tarp & Robinson, Sherman & Tarp, Finn, 1998. "Social accounting matrices for Mozambique, 1994 and 1995:," TMD discussion papers 28, International Food Policy Research Institute (IFPRI).
    4. Chisari, Omar Osvaldo & Mastronardi, Leonardo Javier & Romero, Carlos Adrián, 2012. "Building an input-output Model for Buenos Aires City," MPRA Paper 40028, University Library of Munich, Germany.
    5. Hamasaki, Hiroshi, 2004. "Japanese strategy on climate change to achieve the Kyoto Target with steady economic development -An investigation by using the dynamic version of GTAP-E model," Conference papers 331201, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. CARDENETE M. Alejandro & SANCHO Ferran, 2010. "Sensitivity of Simulation Results to Competing SAM Updates," EcoMod2003 330700031, EcoMod.
    7. V. Kumar & Alok R. Saboo & Amit Agarwal & Binay Kumar, 2020. "Generating Competitive Intelligence with Limited Information: A Case of the Multimedia Industry," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 192-213, January.
    8. Marc Mueller & Emanuele Ferrari, 2012. "Social Accounting Matrices and Satellite Accounts for EU27 on NUTS2 Level (SAMNUTS2)," JRC Research Reports JRC73088, Joint Research Centre.
    9. Masters, William A. & Garcia, Andres F., 2009. "The Political Economy of Agricultural Policy: Global Trends and Future Prospects," Conference papers 331868, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    10. Christophe Gouel & Houssein Guimbard & David Laborde, 2012. "A Foreign Direct Investment database for global CGE models," Working Papers 2012-08, CEPII research center.
    11. Nicholas Crafts & Alexander Klein, 2019. "The Rise and Fall of US Manufacturing: Re-Examination of Long-Run Spatial Trends," Studies in Economics 1910, School of Economics, University of Kent.
    12. Touhami Abdelkhalek & Dorothée Boccanfuso, 2021. "Impact of Tax Reforms in Applied Models: Which Functional Forms Should Be Chosen for the Demand System? Theory and Application for Morocco," CIRANO Working Papers 2021s-07, CIRANO.
    13. Wang, Zhi & Gehlhar, Mark & Yao, Shunli, 2010. "A globally consistent framework for reliability-based trade statistics reconciliation in the presence of an entrepôt," China Economic Review, Elsevier, vol. 21(1), pages 161-189, March.
    14. Noland, Marcus & Robinson, Sherman & Wang, Tao, 2000. "Modeling Korean Unification," Journal of Comparative Economics, Elsevier, vol. 28(2), pages 400-421, June.
    15. Jensen, Henning Tarp & Keogh-Brown, Marcus R. & Shankar, Bhavani & Aekplakorn, Wichai & Basu, Sanjay & Cuevas, Soledad & Dangour, Alan D. & Gheewala, Shabbir H. & Green, Rosemary & Joy, Edward J.M. & , 2019. "Palm oil and dietary change: Application of an integrated macroeconomic, environmental, demographic, and health modelling framework for Thailand," Food Policy, Elsevier, vol. 83(C), pages 92-103.
    16. Nicholas Crafts & Alexander Klein, 2017. "A Long-Run Perspective on the Spatial Concentration of Manufacturing Industries in the United States," Studies in Economics 1715, School of Economics, University of Kent.
    17. Alonso de Gortari, 2019. "Disentangling Global Value Chains," NBER Working Papers 25868, National Bureau of Economic Research, Inc.
    18. Judge, George G. & Miller, Douglas J. & Cho, Wendy K., 2003. "An Information Theoretic Approach to Ecological Estimation and Inference," CUDARE Working Papers 25065, University of California, Berkeley, Department of Agricultural and Resource Economics.
    19. Ferrari, Emanuele & Boulanger, Pierre, 2014. "A regional agricultural SAM for Ireland 2007," MPRA Paper 56270, University Library of Munich, Germany.
    20. McDonald, Scott & Punt, Cecilia, 2005. "General equilibrium modelling in South Africa: What the future holds," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(1), pages 1-39, March.
    21. Amos Golan & Stephen Vogel, 2000. "Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 447-471.
    22. Anthony T. Flegg & Guiseppe R. Lamonica & Francesco M. Chelli & Maria C. Recchioni & Timo Tohmo, 2021. "A new approach to modelling the input–output structure of regional economies using non-survey methods," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-31, December.
    23. Jan A van der Linden & Erik Dietzenbacher, 2000. "The Determinants of Structural Change in the European Union: A New Application of RAS," Environment and Planning A, , vol. 32(12), pages 2205-2229, December.
    24. Andrea Bacilieri & Pablo Austudillo-Estevez, 2023. "Reconstructing firm-level input-output networks from partial information," Papers 2304.00081, arXiv.org.
    25. M. Alejandro Cardenete & M. Carmen Delgado & Patricia D. Fuentes & M. Carmen Lima & Alfredo J. Mainar & Jose M. Rueda-Cantuche & Sébastien Mary & Fabien Santini & Sergio Gomez y Paloma, 2015. "Rural-urban social accounting matrixes for modelling the impact of rural development policies in the EU," JRC Research Reports JRC94394, Joint Research Centre.
    26. Tang, Heiwai & Wang, Fei & Wang, Zhi, 2020. "Domestic segment of global value chains in China under state capitalism✰," Journal of Comparative Economics, Elsevier, vol. 48(4), pages 797-821.
    27. Kaplan, Jonathan D. & Howitt, Richard E., 1997. "Nonpoint Source Pollution, Incomplete Information and Learning : An Entropy Approach," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35777, Western Agricultural Economics Association.
    28. Giorgio Garau & Patrizio Lecca, 2015. "The Impact of Regional R&D Subsidy in a Computable General Equilibrium Model," International Regional Science Review, , vol. 38(4), pages 319-357, October.
    29. Corong, Erwin, 2010. "Global economic crisis, gender and poverty in the Philippines," Conference papers 331939, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    30. Yves Léony & Ludo Peeters & Maurice Quinqu & Yves Surry, 1999. "The Use of Maximum Entropy to Estimate Input‐Output Coefficients From Regional Farm Accounting Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 425-439, September.
    31. Arndt, Channing, 1999. "Demand For Herbicide In Corn: An Entropy Approach Using Micro-Level Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-18, July.
    32. Msangi, Siwa & Howitt, Richard E., 2006. "Estimating Disaggregate Production Functions: An Application to Northern Mexico," 2006 Annual meeting, July 23-26, Long Beach, CA 21080, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    33. Robinson, Sherman & El-Said, Moataz, 1997. "Estimating a social accounting matrix using entropy difference methods:," TMD discussion papers 21, International Food Policy Research Institute (IFPRI).
    34. He, Jianwu & Li, Shantong & Vennemo, Haakon, 2013. "Macroeconomic impacts of carbon capture and storage in China," Conference papers 332321, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    35. Emre Ekinci & Insan Tunah & Berk Yavuzoglu, 2017. "Rescaled Additivity Non-Ignorable (RAN) Model of Generalized Attrition," Working Papers 1702, Nazarbayev University, Department of Economics, revised Mar 2017.
    36. Heiwai Tang & Fei Wang & Zhi Wang, 2016. "Extending the Input-Output Table Based on Firm-level Data," CESifo Working Paper Series 5811, CESifo.
    37. Mueller, Marc & Ferrari, Emanuele, 2011. "Deriving CGE Baselines from Macro-economic Projections," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114638, European Association of Agricultural Economists.
    38. Murat Aslan, 2007. "The Construction of a Financial Social Accounting Matrix forthe Turkish Economy with 1996 Data," Anadolu University Journal of Social Sciences, Anadolu University, vol. 7(1), pages 287-306, June.
    39. Peters, Jeffrey C. & Hertel, Thomas, 2015. "The database-modeling nexus in integrated assessment modeling of electric power generation," Conference papers 332638, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    40. Roberto Roson & Emanuela Ghignoni, 2023. "A Numerical Simulation of Educational Mismatch in the Italian Labor Market," Working Papers in Public Economics 241, University of Rome La Sapienza, Department of Economics and Law.
    41. Sancho, Ferran, 2010. "Double dividend effectiveness of energy tax policies and the elasticity of substitution: A CGE appraisal," Energy Policy, Elsevier, vol. 38(6), pages 2927-2933, June.
    42. Alonso de Gortari, 2018. "Disentangling Global Value Chains," 2018 Meeting Papers 139, Society for Economic Dynamics.
    43. Gouel, Christophe & LaBorde, David, 2017. "The Crucial Role of International Trade in Adaptation to Climate Change," 2017: Globalization Adrift, December 3-5, 2017, Washington, D.C. 266841, International Agricultural Trade Research Consortium.
    44. Lofgren, Hans & Doukkali, Rachid & Serghini, Hassan & Robinson, Sherman, 1997. "Rural development in Morocco: alternative scenarios to the year 2000," TMD discussion papers 17, International Food Policy Research Institute (IFPRI).
    45. Alvarez Herrero, Ruben & Garcia, Ana Salome & Ramos Carvajal, Carmen, 2002. "Spatial projection of input-ouput tables for small areas," ERSA conference papers ersa02p213, European Regional Science Association.
    46. G. Ferrari & G. Garau & P. Lecca, 2009. "Constructing a Social Accounting Matrix for Sardinia," Working Paper CRENoS 200902, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    47. Chulu, Osten & Wobst, Peter, 2001. "A 1998 Social Accounting Matrix for Malawi," TMD discussion papers 69, International Food Policy Research Institute (IFPRI).
    48. M Thissen & H Löfgren, 1998. "A New Approach to SAM Updating with an Application to Egypt," Environment and Planning A, , vol. 30(11), pages 1991-2003, November.
    49. Henning Tarp Jensen & Finn Tarp, 2004. "Trade Liberalization and Spatial Inequality: A Methodological Innovation in Vietnamese Perspective," WIDER Working Paper Series RP2004-35, World Institute for Development Economic Research (UNU-WIDER).
    50. Thakur, Sudhir K., 2008. "Identification of temporal fundamental economic structure (FES) of India: An input-output and cross-entropy analysis," Structural Change and Economic Dynamics, Elsevier, vol. 19(2), pages 132-151, June.
    51. Marcus Noland & Sherman Robinson & Tao Wang, 1999. "Rigorous Speculation: The Collapse and Revival of the North Korean Economy," Working Paper Series WP99-1, Peterson Institute for International Economics.
    52. Nlemfu Mukoko, Jean Blaise, 2015. "Matrice de Comptabilité Sociale de 2013 pour la R.D.Congo [2013 Social Accounting Matrix for the D.R.Congo]," MPRA Paper 72407, University Library of Munich, Germany, revised Jan 2016.
    53. Edgar Towa & Vanessa Zeller & Stefano Merciai & Jannick Schmidt & Wouter M. J. Achten, 2022. "Toward the development of subnational hybrid input–output tables in a multiregional framework," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 88-106, February.
    54. Roberto Roson & Emanuela Ghignoni, 2023. "A Numerical Simulation of Educational Mismatch in the Italian Labor Market," Working Papers 2023: 15, Department of Economics, University of Venice "Ca' Foscari".
    55. Canning, Patrick & Wang, Zhi, 2004. "A flexible modeling framework to estimate interregional trade patterns and input-output accounts," Policy Research Working Paper Series 3359, The World Bank.
    56. Lugovoy, Oleg & Polbin, Andrey & Potashnikov, Vladimir, 2015. "Bayesian Updating of Input-Output Tables," Conference papers 332664, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    57. Ramos Carvajal, Carmen & Fernández Vázquez, Esteban, 2002. "Temporal projection of an input-output tables series for the region of Asturias," ERSA conference papers ersa02p211, European Regional Science Association.
    58. Fontana, Marzia & Wobst, Peter, 2001. "A gendered 1993-94 Social Accounting Matrix for Bangladesh," TMD discussion papers 74, International Food Policy Research Institute (IFPRI).
    59. Darío Debowicz & Paul Dorosh & Hamza Haider & Sherman Robinson, 2013. "A Disaggregated and Macro-consistent Social Accounting Matrix for Pakistan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 2(1), pages 1-25, December.
    60. Bonfiglio, Andrea & Esposti, Roberto, 2014. "Analyzing the Economy-wide Impact of the Supply Chains Activated by a new Biomass Power Plant. The case of cardoon in Sardinia," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183046, European Association of Agricultural Economists.
    61. Eric J. Bartelsman & J. Joseph Beaulieu, 2004. "A consistent accounting of U.S. productivity growth," Finance and Economics Discussion Series 2004-55, Board of Governors of the Federal Reserve System (U.S.).
    62. Noland, Marcus & Robinson, Sherman & Wang, Tao, 2001. "Famine in North Korea: Causes and Cures," Economic Development and Cultural Change, University of Chicago Press, vol. 49(4), pages 741-767, July.
    63. Jensen, Henning Tarp & Tarp, Finn, 2007. "A Vietnam Social Accounting Matrix (SAM) for the Year 2003," MPRA Paper 29822, University Library of Munich, Germany.
    64. Chen, Quanrun & Dietzenbacher, Erik & Los, Bart & Yang, Cuihong, 2016. "Modeling the short-run effect of fiscal stimuli on GDP: A new semi-closed input–output model," Economic Modelling, Elsevier, vol. 58(C), pages 52-63.
    65. Jakub Boratyński, 2016. "A Bayesian Approach to Matrix Balancing: Transformation of Industry-Level Data under NACE Revision," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(4), pages 219-239, December.
    66. Specht, Gabriel & Nuppenau, Ernst-August & Domptail, Stephanie, 2021. "Failing Synergies Among Public Programs: The Economy-Wide Effects of One Rural Credit and Two Social Protection Programs Simultaneously Implemented in Southern Brazil," 2021 Conference, August 17-31, 2021, Virtual 315012, International Association of Agricultural Economists.
    67. Umed Temursho & Manuel Alejandro Cardenete & Krzysztof Wojtowicz & Luis Rey & Matthias Weitzel & Toon Vandyck & Bert Saveyn, 2020. "Projecting input-output tables for model baselines," JRC Research Reports JRC120513, Joint Research Centre.
    68. Canning, Patrick, 2011. "A Revised and Expanded Food Dollar Series: A Better Understanding of Our Food Costs," Economic Research Report 262243, United States Department of Agriculture, Economic Research Service.
    69. Hyongmook Cheong & Boyoung Kim & Ivan Ureta Vaquero, 2023. "A Data Valuation Model to Estimate the Investment Value of Platform Companies: Based on Discounted Cash Flow," JRFM, MDPI, vol. 16(6), pages 1-17, June.
    70. Esteban Fernández & Bart Los & Carmen Carvajal, 2005. "Path Based Shift-Share Analysis -Using Additional Information in Decomposing Regional Economic Changes," ERSA conference papers ersa05p465, European Regional Science Association.
    71. Esteban Fernández-Vázquez & Mònica Serrano, 2017. "Technology of the preferences: linking consumption expenditures to value added with minimal information," UB School of Economics Working Papers 2017/365, University of Barcelona School of Economics.
    72. Howitt, Richard E. & Msangi, Siwa, 2002. "Reconstructing Disaggregate Production Functions," 2002 Annual meeting, July 28-31, Long Beach, CA 19585, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    73. Niemi, Janne, 2009. "Dynamic (GTAP) model and baseline for energy and environment issues," Conference papers 331856, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    74. Casiano Manrique De Lara Peñate & Dolores Santos-Peñate, 2006. "Comparison of Different Updating Procedures and Identification of Temporal Patterns," EcoMod2006 272100059, EcoMod.
    75. Korinek, Jane & Le Cocguic, Jean & Sourdin, Patricia, 2010. "The availability and cost of short-term trade finance and its impact on trade," Conference papers 331989, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    76. Marcus Noland & Sherman Robinson & Ligang Liu, 1999. "The economics of korean unification," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 3(3), pages 255-299.
    77. Debowicz, Dario & Dorosh, Paul A. & Robinson, Sherman & Haider, Syed Hamza, 2012. "A 2007-08 social accounting matrix for Pakistan:," PSSP working papers 1, International Food Policy Research Institute (IFPRI).
    78. Robinson, Sherman & Cattaneo, Andrea & El-Said, Moataz, 2000. "Updating and estimating a Social Accounting Matrix using cross entropy methods," TMD discussion papers 58, International Food Policy Research Institute (IFPRI).
    79. Francois, Joseph, 2001. "Flexible Estimation and Inference within General Equilibrium Systems," Conference papers 330929, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    80. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
    81. Hausner, Ulrich, 1999. "A 1995 social accounting matrix for Zambia:," TMD discussion papers 49, International Food Policy Research Institute (IFPRI).
    82. Morilla, Carmen R. & Cardenete, Manuel Alejandro & Llanes, Gaspar, 2009. "Multiplicadores domésticos “SAMEA” en un modelo multisectorial económico y ambiental de España," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 9(01), pages 1-26.
    83. Ahearn, Mary Clare & Yee, Jet & Ball, V. Eldon & Nehring, Richard F., 1998. "Agricultural Productivity in the United States," Agricultural Information Bulletins 33687, United States Department of Agriculture, Economic Research Service.
    84. Wojtowicz, Krzysztof & Rey, Luis & Temursho, Umed & Saveyn, Bert & Vandyck, Toon & Tamba, Marie & Weitzel, Matthias, 2019. "PIRAMID: a new methodology to build baselines for CGE models," Conference papers 333023, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    85. Mastronardi, Leonardo Javier & Romero, Carlos Adrián, 2012. "Estimación de matrices de insumo producto regionales mediante métodos indirectos. Una aplicación para la ciudad de Buenos Aires [A non-survey estimation for regional input-output tables. An applica," MPRA Paper 37006, University Library of Munich, Germany.
    86. Bonfiglio, Andrea & Esposti, Roberto, 2011. "Assessing the Economic Impact of an Agricultural Project in a Petroleum-Exporting Country. The Case of Palm Oil in the Republic of Congo," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114260, European Association of Agricultural Economists.
    87. Lugovoy, Oleg (Луговой, Олег) & Polbin, Andrey Vladimirovich (Полбин, Андрей Владимирович) & Potashnikоv, Vladimir Yurievich (Поташников, Владимир Юрьевич), 2015. "Bayesian Approach to the Extension of 'Input-Output' Tables [Байесовский Подход К Продлению Таблиц «Затраты–Выпуск»]," Published Papers om31, Russian Presidential Academy of National Economy and Public Administration.
    88. Noland, Marcus & Robinson, Sherman & Scatasta, Monica, 1997. "Modeling economic reform in North Korea," Journal of Asian Economics, Elsevier, vol. 8(1), pages 15-38.
    89. Wang, Sun Ling & Somwaru, Agapi & Ball, Eldon, 2015. "Education, Labor Quality and U.S. Agricultural Growth," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205351, Agricultural and Applied Economics Association.
    90. Rim Chatti & Faycel Zidi, 2010. "The Impact of Trade Liberalization on Regional Growth and Poverty in Tunisia," Working Papers 563, Economic Research Forum, revised 11 Jan 2010.
    91. Mohamed Abdelbasset Chemingui & Chokri Thabet, 2008. "Agricultural Trade Liberalization and Poverty in Tunisia: Micro-Simulation in a General Equilibrium Framework," Working Papers 402, Economic Research Forum, revised 03 Jan 2008.
    92. Casiano A. Manrique-de-Lara-Peñate & Dolores R. Santos-Peñate, 2017. "SAM updating using multi-objective optimization techniques," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 647-667, August.
    93. Jing Yi & Samantha Cohen & Sarah Rehkamp & Patrick Canning & Miguel I. Gómez & Houtian Ge, 2023. "Overcoming data barriers in spatial agri‐food systems analysis: A flexible imputation framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 686-701, September.
    94. Rosa Bernardini Papalia, 2011. "An information theoretic approach to ecological inference in presence of spatial heterogeneity and dependence," ERSA conference papers ersa11p317, European Regional Science Association.
    95. Torlak, Elvisa, 2004. "Foreign Direct Investment, Technology Transfer and Productivity Growth. Empirical Evidence for Hungary, Poland, Romania, Bulgaria and the Czech Republic," Conference papers 331189, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    96. Persson, Maria, 2007. "Trade Facilitation and the EU-ACP Economic Partnership Agreements: Who Has the Most to Gain?," Conference papers 331619, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    97. Stefania Lovo & Paola De Agostini & Francesco Pecci & Paola De Agostini & Federico Perali, 2000. "Analyzing the Impact of Alternative Management Scenarios For Natural Areas Using a Local Sam," Regional and Urban Modeling 283600058, EcoMod.
    98. Jeffrey C. Peters & Thomas W. Hertel, 2016. "Matrix balancing with unknown total costs: preserving economic relationships in the electric power sector," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 1-20, March.
    99. Devarajan, Shantayanan & Robinson, Sherman, 2002. "The influence of computable general equilibrium models on policy," TMD discussion papers 98, International Food Policy Research Institute (IFPRI).
    100. Paroussos, Leonidas & Tsani, Stella & Vrontisi, Zoi, 2013. "Economic and Structural Database for the MEDPRO Project," CEPS Papers 8087, Centre for European Policy Studies.

  29. Griffiths, William & Judge, George, 1992. "Testing and estimating location vectors when the error covariance matrix is unknown," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 121-138.

    Cited by:

    1. Frank, Richard G. & Lamiraud, Karine, 2009. "Choice, price competition and complexity in markets for health insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 550-562, August.
    2. Sanjay Ramchander & Marc Simpson & Mukesh Chaudhry, 2003. "The impact of inflationary news on money market yields and volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 85-101, March.
    3. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.

  30. Judge, G. G. & Hill, R. Carter & Bock, M. E., 1990. "An adaptive empirical Bayes estimator of the multivariate normal mean under quadratic loss," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 189-213.

    Cited by:

    1. Golan, Amos & Judge, George & Perloff, Jeffrey, 1997. "Estimation and inference with censored and ordered multinomial response data," Journal of Econometrics, Elsevier, vol. 79(1), pages 23-51, July.
    2. R. Carter Hill & Randall C. Campbell, 2001. "Maximum Entropy Estimation in Economic Models with Linear Inequality Restrictions," Departmental Working Papers 2001-11, Department of Economics, Louisiana State University.
    3. Campbell, Randall C. & Hill, R. Carter, 2005. "A Monte Carlo study of the effect of design characteristics on the inequality restricted maximum entropy estimator," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 1(1), pages 1-30, June.
    4. Pensky, Marianna, 1999. "Nonparametric Empirical Bayes Estimation of the Matrix Parameter of the Wishart Distribution," Journal of Multivariate Analysis, Elsevier, vol. 69(2), pages 242-260, May.
    5. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.
    6. Papalia, Rosa Bernardini, 2003. "Modeling the Learning from Repeated Samples: A Generalized Cross Entropy Approach," SFB 373 Discussion Papers 2003,29, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

  31. Hill, R.Carter & Judge, George G, 1990. "Improved estimation under collinearity and squared error loss," Journal of Multivariate Analysis, Elsevier, vol. 32(2), pages 296-312, February.

    Cited by:

    1. Wan, Alan T. K. & Chaturvedi, Anoop, 2001. "Double k-Class Estimators in Regression Models with Non-spherical Disturbances," Journal of Multivariate Analysis, Elsevier, vol. 79(2), pages 226-250, November.
    2. Eric Hillebrand & Tae-Hwy Lee, 2012. "Stein-Rule Estimation and Generalized Shrinkage Methods for Forecasting Using Many Predictors," Advances in Econometrics, in: 30th Anniversary Edition, pages 171-196, Emerald Group Publishing Limited.

  32. Yi, Gang & Judge, George, 1988. "Statistical model selection criteria," Economics Letters, Elsevier, vol. 28(1), pages 47-51.

    Cited by:

    1. Medel, Carlos A., 2012. "¿Akaike o Schwarz? ¿Cuál elegir para predecir el PIB chileno? [Akaike or Schwarz? Which One is a Better Predictor of Chilean GDP?]," MPRA Paper 35950, University Library of Munich, Germany.
    2. Yi, Gang, 1990. "Inflation and price instability : An empirical study of the People's Republic of China," China Economic Review, Elsevier, vol. 1(2), pages 155-165.
    3. Erdal Atukeren, 2010. "The relationship between the F-test and the Schwarz criterion: Implications for Granger-causality tests," Economics Bulletin, AccessEcon, vol. 30(1), pages 494-499.
    4. Fisher, Douglas & Fleissig, Adrian R. & Serletis, Apostolos, 1998. "Monetary aggregation, rational expectations, and the demand for money in the United States," The North American Journal of Economics and Finance, Elsevier, vol. 9(1), pages 1-13.
    5. Javier Pereda, 2011. "Estimación de la tasa natural de interés para Perú: un enfoque financiero," Monetaria, CEMLA, vol. 0(4), pages 429-459, octubre-d.
    6. Carlos A. Medel Vera, 2011. "¿Akaike o Schwarz? ¿Cuál utilizar para predecir el PIB chileno?," Monetaria, CEMLA, vol. 0(4), pages 591-615, octubre-d.
    7. Carlos A. Medel & Sergio C. Salgado, 2013. "Does the Bic Estimate and Forecast Better than the Aic?," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 28(1), pages 47-64, April.
    8. Fleissig, Adrian R. & Strauss, Jack, 1997. "Unit root tests on real wage panel data for the G7," Economics Letters, Elsevier, vol. 56(2), pages 149-155, October.
    9. Roy H. Webb, 1988. "Commodity prices as predictors of aggregate price change," Economic Review, Federal Reserve Bank of Richmond, vol. 74(Nov), pages 3-11.
    10. Daniel Fernández, 2011. "Suficiencia del capital y previsiones de la banca uruguaya por su exposición al sector industrial," Monetaria, CEMLA, vol. 0(4), pages 517-589, octubre-d.
    11. Tamara Burdisso & Eduardo Ariel Corso, 2011. "Incertidumbre y dolarización de cartera: el caso argentino en el último medio siglo," Monetaria, CEMLA, vol. 0(4), pages 461-515, octubre-d.

  33. Carter Hill, R. & Judge, George, 1987. "Improved prediction in the presence of multicollinearity," Journal of Econometrics, Elsevier, vol. 35(1), pages 83-100, May.

    Cited by:

    1. Cao, Ming-Xiang & He, Dao-Jiang, 2017. "Admissibility of linear estimators of the common mean parameter in general linear models under a balanced loss function," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 246-254.
    2. Wenxing Guo & Xiaohui Liu & Shangli Zhang, 2016. "The principal correlation components estimator and its optimality," Statistical Papers, Springer, vol. 57(3), pages 755-779, September.
    3. Wan, Alan T. K. & Chaturvedi, Anoop, 2001. "Double k-Class Estimators in Regression Models with Non-spherical Disturbances," Journal of Multivariate Analysis, Elsevier, vol. 79(2), pages 226-250, November.
    4. Eric Hillebrand & Tae-Hwy Lee, 2012. "Stein-Rule Estimation and Generalized Shrinkage Methods for Forecasting Using Many Predictors," Advances in Econometrics, in: 30th Anniversary Edition, pages 171-196, Emerald Group Publishing Limited.
    5. Zhang, Xinyu & Chen, Ti & Wan, Alan T.K. & Zou, Guohua, 2009. "Robustness of Stein-type estimators under a non-scalar error covariance structure," Journal of Multivariate Analysis, Elsevier, vol. 100(10), pages 2376-2388, November.

  34. Judge, George & Yi, Gang & Yancey, Thomas & Terasvirta, Timo, 1987. "The extended Stein procedure for simultaneous model selection and parameter estimation," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 375-391, July.

    Cited by:

    1. Golan, Amos, 2001. "A simultaneous estimation and variable selection rule," Journal of Econometrics, Elsevier, vol. 101(1), pages 165-193, March.

  35. Judge, George & Miyazaki, Shigetaka & Yancey, Thomas, 1985. "Minimax Estimators for the Location Vectors of Spherically Symmetric Densities," Econometric Theory, Cambridge University Press, vol. 1(3), pages 409-417, December.

    Cited by:

    1. Akio Namba, 2001. "MSE performance of the 2SHI estimator in a regression model with multivariate t error terms," Statistical Papers, Springer, vol. 42(1), pages 81-96, January.
    2. Akio Namba & Kazuhiro Ohtani, 2007. "Risk comparison of the Stein-rule estimator in a linear regression model with omitted relevant regressors and multivariatet errors under the Pitman nearness criterion," Statistical Papers, Springer, vol. 48(1), pages 151-162, January.

  36. Chi, Xie Wen & Judge, George, 1985. "On assessing the precision of Stein's estimator," Economics Letters, Elsevier, vol. 18(2-3), pages 143-148.

    Cited by:

    1. Akio Namba & Kazuhiro Ohtani, 2018. "MSE performance of the weighted average estimators consisting of shrinkage estimators," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(5), pages 1204-1214, March.
    2. Helen X. H. Bao & Alan T. K. Wan, 2007. "Improved Estimators of Hedonic Housing Price Models," Journal of Real Estate Research, American Real Estate Society, vol. 29(3), pages 267-302.
    3. Ohtani, Kazuhiro, 2000. "Bootstrapping R2 and adjusted R2 in regression analysis," Economic Modelling, Elsevier, vol. 17(4), pages 473-483, December.

  37. Bock, M.E. & Judge, G.G. & Yancey, T.A., 1984. "A simple form for the inverse moments of non-central [chi]2 andF random variables and certain confluent hypergeometric functions," Journal of Econometrics, Elsevier, vol. 25(1-2), pages 217-234.

    Cited by:

    1. Grant Hillier & Raymond Kan & Xiaolu Wang, 2008. "Generating functions and short recursions, with applications to the moments of quadratic forms in noncentral normal vectors," CeMMAP working papers CWP14/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Cribari-Neto, Francisco & Garcia, Nancy Lopes & Vasconcellos, Klaus L. P., 2000. "A Note on Inverse Moments of Binomial Variates," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 20(2), November.

  38. Judge, G.G. & Yancey, T.A. & Bock, M.E. & Bohrer, R., 1984. "The non-optimality of the inequality restricted estimator under squared error loss," Journal of Econometrics, Elsevier, vol. 25(1-2), pages 165-177.

    Cited by:

    1. Kuriki, Satoshi & Takemura, Akimichi, 2000. "Shrinkage Estimation towards a Closed Convex Set with a Smooth Boundary," Journal of Multivariate Analysis, Elsevier, vol. 75(1), pages 79-111, October.
    2. Yancey, T.A. & Judge, G.G. & Bohrer, Robert, 1988. "Sampling Performance of Some Joint One-Sided Preliminary Test Estimators Under Square Error Loss," CUDARE Working Papers 198472, University of California, Berkeley, Department of Agricultural and Resource Economics.
    3. Fan, Yanqin & Shi, Xuetao, 2023. "Wald, QLR, and score tests when parameters are subject to linear inequality constraints," Journal of Econometrics, Elsevier, vol. 235(2), pages 2005-2026.

  39. Yancey, T.A. & Judge, G.G. & Miyazaki, S., 1984. "Some improved estimators in the case of possible heteroscedasticity," Journal of Econometrics, Elsevier, vol. 25(1-2), pages 133-150.

    Cited by:

    1. Ozcam, Ahmet & Judge, George, 1988. "The Analytical Risk of a Two Stage Pretest Estimator in the Case of Possible Heteroscedasticity," CUDARE Working Papers 198478, University of California, Berkeley, Department of Agricultural and Resource Economics.

  40. Yancey, Thomas A. & Bohrer, Robert & Judge, George G., 1982. "Power function comparisons in inequality hypothesis testing," Economics Letters, Elsevier, vol. 9(2), pages 161-167.

    Cited by:

    1. Yancey, T.A. & Judge, G.G. & Bohrer, Robert, 1988. "Sampling Performance of Some Joint One-Sided Preliminary Test Estimators Under Square Error Loss," CUDARE Working Papers 198472, University of California, Berkeley, Department of Agricultural and Resource Economics.

  41. Yancey, T. A. & Judge, G. G. & Bock, M. E., 1981. "Testing multiple equality and inequality hypothesis in economics," Economics Letters, Elsevier, vol. 7(3), pages 249-255.

    Cited by:

    1. Antonis Demos & Enrique Sentana, 1996. "Testing for GARCH Effects: A One-Sided Approach," Working Papers wp1996_9611, CEMFI.
    2. Hillier, Grant, 1986. "Joint Tests for Zero Restrictions on Non-negative Regression Coefficients," MPRA Paper 15804, University Library of Munich, Germany.
    3. Yancey, T.A. & Judge, G.G. & Bohrer, Robert, 1988. "Sampling Performance of Some Joint One-Sided Preliminary Test Estimators Under Square Error Loss," CUDARE Working Papers 198472, University of California, Berkeley, Department of Agricultural and Resource Economics.
    4. Silvapulle, Mervyn J., 1996. "On an F-type statistic for testing one-sided hypotheses and computation of chi-bar-squared weights," Statistics & Probability Letters, Elsevier, vol. 28(2), pages 137-141, June.
    5. Shaun Bond & Stephen Satchell, 2006. "Asymmetry and downside risk in foreign exchange markets," The European Journal of Finance, Taylor & Francis Journals, vol. 12(4), pages 313-332.
    6. Giannis Karagiannis & Suzanna M. Paleologou, 2021. "A regression-based improvement to the multiple criteria ABC inventory classification analysis," Annals of Operations Research, Springer, vol. 306(1), pages 369-382, November.

  42. Judge, George G. & Yancey, Thomas A., 1981. "Sampling properties of an inequality restricted estimator," Economics Letters, Elsevier, vol. 7(4), pages 327-333.

    Cited by:

    1. Zhu, Rong & Zhou, Sherry Z.F., 2011. "Estimating the error variance after a pre-test for an interval restriction on the coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2312-2323, July.
    2. Paul Knottnerus, 2016. "On new variance approximations for linear models with inequality constraints," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(1), pages 26-46, February.
    3. Dorfman, Jeffrey H. & McIntosh, Christopher S., 2001. "Imposing inequality restrictions: efficiency gains from economic theory," Economics Letters, Elsevier, vol. 71(2), pages 205-209, May.
    4. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    5. Ulrike Grömping & Sabine Landau, 2010. "Do not adjust coefficients in Shapley value regression," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(2), pages 194-202, March.
    6. Sebastian M. Blanc & Thomas Setzer, 2020. "Bias–Variance Trade-Off and Shrinkage of Weights in Forecast Combination," Management Science, INFORMS, vol. 66(12), pages 5720-5737, December.

  43. Aigner, Dennis J & Judge, George G, 1977. "Application of Pre-Test and Stein Estimators to Economic Data," Econometrica, Econometric Society, vol. 45(5), pages 1279-1288, July.

    Cited by:

    1. Attiea Marie & Ananth Rao & Hossein Kashani, 2009. "Cost efficiency and value driver analysis of insurers in an emerging economy," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 265-280.

  44. Judge, George G & Bock, M E, 1976. "A Comparison of Traditional and Stein-Rule Estimators under Weighted Squared Error Loss," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(1), pages 234-240, February.

    Cited by:

    1. Ullah, A. & Vinod, H. D. & Kadiyala, R. K., 1978. "A Family Of Improved Ordinary Ridge Estimators," Econometric Institute Archives 272169, Erasmus University Rotterdam.
    2. Jennifer Castle & David Hendry & Jurgen A. Doornik, 2010. "Evaluating Automatic Model Selection," Economics Series Working Papers 474, University of Oxford, Department of Economics.

  45. Yancey, Thomas A. & Judge, George G., 1976. "A Monte Carlo comparison of traditional and Stein-rule estimators under squared error loss," Journal of Econometrics, Elsevier, vol. 4(3), pages 285-294, August.

    Cited by:

    1. Jennifer Castle & David Hendry & Jurgen A. Doornik, 2010. "Evaluating Automatic Model Selection," Economics Series Working Papers 474, University of Oxford, Department of Economics.
    2. Ohtani, Kazuhiro & Kozumi, Hideo, 1996. "The exact general formulae for the moments and the MSE dominance of the Stein-rule and positive-part Stein-rule estimators," Journal of Econometrics, Elsevier, vol. 74(2), pages 273-287, October.
    3. Julia Campos & Neil R. Ericsson & David F. Hendry, 2005. "General-to-specific modeling: an overview and selected bibliography," International Finance Discussion Papers 838, Board of Governors of the Federal Reserve System (U.S.).

  46. Judge, G G & Bock, M E & Yancey, T A, 1974. "Post Data Model Evaluation," The Review of Economics and Statistics, MIT Press, vol. 56(2), pages 245-253, May.

    Cited by:

    1. J. Denis Sargan, 2001. "Model Building And Data Mining," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 159-170.
    2. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    3. V. Kerry Smith, 1980. "Some Comments on the Evaluation of Informal Models," NBER Chapters, in: Evaluation of Econometric Models, pages 123-131, National Bureau of Economic Research, Inc.
    4. Martin Williams & Ronald L. Moomaw, 1989. "Capital and Labour Efficiencies: A Regional Analysis," Urban Studies, Urban Studies Journal Limited, vol. 26(6), pages 573-585, December.
    5. Ladd, George W., 1976. "Evaluating Econometric Models And Forecasts," ISU General Staff Papers 197604010800001032, Iowa State University, Department of Economics.

  47. Yancey, T A & Judge, G G & Bock, M E, 1973. "Wallace's Weak Mean Square Error Criterion for Testing Linear Restrictions in Regression: A Tighter Bound," Econometrica, Econometric Society, vol. 41(6), pages 1203-1206, November.

    Cited by:

    1. Weaver, Robert D., 1979. "Survey of Promising Developments in Supply Response: Pre- and Post-Data Econometric Methods for Integration of Neo-Classical Theory with Sample Evidence," Staff Paper Series 256836, Pennsylvania State University, Department of Agricultural Economics and Rural Sociology.
    2. Min, Aleksey & Holzmann, Hajo & Czado, Claudia, 2010. "Model selection strategies for identifying most relevant covariates in homoscedastic linear models," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3194-3211, December.
    3. Lee C. Adkins & R. Carter Hill & Bob Russell, 1991. "A Primer on the Use of Canonical Forms and Transformations in the Linear Regression Model," The American Economist, Sage Publications, vol. 35(1), pages 40-51, March.
    4. R. Carter Hill & S. R. Johnson, 1978. "Principal Components Estimators and Restricted Least Squares—An Alternative Perspective," The American Economist, Sage Publications, vol. 22(2), pages 35-39, October.

  48. Bock, M. E. & Judge, G. G. & Yancey, T. A., 1973. "Some comments on estimation in regression after preliminary tests of significance," Journal of Econometrics, Elsevier, vol. 1(2), pages 191-200, June.

    Cited by:

    1. Weaver, Robert D., 1979. "Survey of Promising Developments in Supply Response: Pre- and Post-Data Econometric Methods for Integration of Neo-Classical Theory with Sample Evidence," Staff Paper Series 256836, Pennsylvania State University, Department of Agricultural Economics and Rural Sociology.
    2. Ladd, George W., 1976. "Evaluating Econometric Models And Forecasts," ISU General Staff Papers 197604010800001032, Iowa State University, Department of Economics.

  49. Judge, G. G. & Yancey, T. A. & Bock, M. E., 1973. "Properties of estimators after preliminary tests of significance when stochastic restrictions are used in regression," Journal of Econometrics, Elsevier, vol. 1(1), pages 29-47, March.

    Cited by:

    1. Mittelhammer, Ron C. & Young, Douglas L. & Tasanasanta, Damrongsak & Donnelly, JohnT., 1979. "Mitigating The Effects Of Multicollinearity Using Exact And Stochastic Restrictions: The Case Of An Aggregate Agricultural Production Function For Thailand," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 278283, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Weaver, Robert D., 1979. "Survey of Promising Developments in Supply Response: Pre- and Post-Data Econometric Methods for Integration of Neo-Classical Theory with Sample Evidence," Staff Paper Series 256836, Pennsylvania State University, Department of Agricultural Economics and Rural Sociology.
    3. Dixon, Bruce L. & Garcia, Philip & Adams, Richard M. & Mjelde, James W., 1984. "Combining Economic And Biological Data To Estimate The Impact Of Pollution On Crop Production," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(2), pages 1-10, December.
    4. Ladd, George W., 1976. "Evaluating Econometric Models And Forecasts," ISU General Staff Papers 197604010800001032, Iowa State University, Department of Economics.

  50. T. C. Lee & G. G. Judge & R. L. Cain, 1969. "A Sampling Study of the Properties of Estimators of Transition Probabilities," Management Science, INFORMS, vol. 15(7), pages 374-398, March.

    Cited by:

    1. Dent, Warren Thomas & Ballintine, Richard, 1971. "A Review Of The Estimation Of Transition Probabilities In Markov Chains," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 15(2), pages 1-13, August.

  51. George G. Judge, 1968. "The Search for Quantitative Economic Knowledge," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(5), pages 1703-1717.

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    1. Musser, Wesley N., 1979. "Risk Preferences Of Agricultural Producers: Their Measurement And Use - Discussion," Risk Management in Agriculture: Behavioral, Managerial, and Policy Issues, January 25-26, 1979, San Francisco, California 271460, Regional Research Projects > W-149: An Economic Evaluation of Managing Market Risks in Agriculture.
    2. Unknown, 1977. "Front matter, Volume 2," AAEA Monographs, Agricultural and Applied Economics Association, number 337220, january.
    3. Unknown, 1977. "Foreword and Introduction," A Survey of Agricultural Economics Literature, Volume 2: Quantitative Methods in Agricultural Economics, 1940s to 1970s,, Agricultural and Applied Economics Association.
    4. Johnson, S.R. & Rausser, Gordon C., 1977. "PART III. Systems Analysis and Simulation in Agricultural and Resource Economics," AAEA Monographs, Agricultural and Applied Economics Association, number 337223, january.

  52. Judge, George G. & Havlicek, J. & Rizek, R.L., 1965. "An Interregional Model: Its Formulation and Application to the Livestock Industry," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 17(1), pages 1-10, January.

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    1. Cassidy, P.A. & McCarthy, W.O. & Toft, H.I., 1970. "An Application Of Spatial Analysis To Beef Slaughter Plant Location And Size, Queensland," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 14(1), pages 1-20, June.
    2. Stennis, Earl A. & Hurt, Verner G., 1975. "A Negative-Cost Approach To The Formulation Of A Transhipment Problem," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 7(1), pages 1-6, July.
    3. Tomek, William G. & Robinson, Kenneth L., 1977. "PART V. Agricultural Price Analysis and Outlook," AAEA Monographs, Agricultural and Applied Economics Association, number 337217, january.
    4. Holroyd, William M., 1974. "The Dual Of A Cost Minimizing Linear Transshipment Model: An Economic Interpretation Of An Assembly-Plant Processing-Distribution Network For A Firm," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 6(1), pages 1-4, July.

  53. T. C. Lee & G. G. Judge & T. Takayama, 1965. "On Estimating the Transition Probabilities of a Markov Process," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 742-762.

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    1. Rao, Dayakar & Parwez, Shahid, 2005. "Dynamics of Cropping Pattern in Sorghum Growing States of India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 60(4), pages 1-16.
    2. Disney, W. Terry & Duffy, Patricia A. & Hardy, William E., Jr., 1988. "A Markov Chain Analysis Of Pork Farm Size Distributions In The South," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-8, December.
    3. García, Jorge H. & Garmestani, Ahjond S. & Karunanithi, Arunprakash T., 2011. "Threshold transitions in a regional urban system," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 152-159, April.
    4. Andrei Rogers, 1967. "Estimating Interregional Population And Migration Operators From Interregional Population Distributions," Demography, Springer;Population Association of America (PAA), vol. 4(2), pages 515-531, June.
    5. Saint-Cyr, Legrand D.F. & Piet, Laurent, 2015. "Movers and Stayers in the Farming Sector: Accounting for Unobserved Heterogeneity in Structural Change," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204234, Agricultural Economics Society.
    6. Dent, Warren Thomas & Ballintine, Richard, 1971. "A Review Of The Estimation Of Transition Probabilities In Markov Chains," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 15(2), pages 1-13, August.
    7. Pathak, Santosh & Wang, Hua & Adusumilli, Naveen C., 2021. "Quantifying the dynamics of agricultural conservation practices in the Delta region," 2021 Annual Meeting, August 1-3, Austin, Texas 313916, Agricultural and Applied Economics Association.
    8. Legrand D. F, Saint-Cyr, 2017. "Farm heterogeneity and agricultural policy impacts on size dynamics: evidence from France," Working Papers SMART 17-04, INRAE UMR SMART.
    9. Piet, Laurent, 2008. "The evolution of farm size distribution: revisiting the Markov chain model," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44269, European Association of Agricultural Economists.
    10. Stokes, Jeffrey R., 2006. "Entry, Exit, and Structural Change in Pennsylvania's Dairy Sector," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(2), pages 357-373, October.
    11. Wilson, William W. & Koo, Won W. & Carter, Colin A., 1987. "Importer Loyalty in International Wheat Markets," Agricultural Economics Reports 23468, North Dakota State University, Department of Agribusiness and Applied Economics.
    12. Davor Kunovac, 2011. "Estimating Credit Migration Matrices with Aggregate Data – Bayesian Approach," Working Papers 30, The Croatian National Bank, Croatia.
    13. Davis, Ernest E., 1971. "Future Structure Of The Texas Cattle Feeding Industry As Projected By Transition Probabilities Utilizing A Convex Program," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 3(1), pages 1-7, December.
    14. Tran, Dat Q. & Kurkalova, Lyubov A., 2017. "Estimation of the changes in the dynamics of tillage choices in Iowa, 1992-2008," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258443, Agricultural and Applied Economics Association.
    15. Saint-Cyr, Legrand D. F. & Piet, Laurent, 2014. "Movers and Stayers in the Farming Sector: Another Look at Heterogeneity in Structural Change," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183068, European Association of Agricultural Economists.
    16. Schaible, Glenn D. & Kim, C.S., 1989. "Forecasting Irrigation Technology with Transition Probabilities in the Pacific Northwest," WAEA/ WFEA Conference Archive (1929-1995) 244966, Western Agricultural Economics Association.
    17. Tran, Dat Q. & Kurkalova, Lyubov A., 2017. "Testing for complementarity between the use of continuous no-till and cover crops: an application of Entropy approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259149, Agricultural and Applied Economics Association.
    18. Burnham, Bruce O., 1973. "Markov Intertemporal Land Use Simulation Model," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 5(1), pages 1-6, July.
    19. Piet, Laurent, 2011. "Assessing structural change in agriculture with a parametric Markov chain model. Illustrative applications to EU-15 and the USA," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114668, European Association of Agricultural Economists.
    20. Lin, William W. & Coffman, George & Penn, J. B., 1980. "U.S. Farm Numbers, Sizes, and Related Structural Dimensions: Projections to Year 2000," Technical Bulletins 157730, United States Department of Agriculture, Economic Research Service.
    21. Veeman, M.M. & Veeman, T.S. & Dong, X.Y., 1989. "Market Share Competition in World Wheat Markets," Project Report Series 232074, University of Alberta, Department of Resource Economics and Environmental Sociology.
    22. Smith, Matthew G., 1988. "A Conditional Approach To Projecting Farm Structure," Staff Reports 278025, United States Department of Agriculture, Economic Research Service.
    23. Saint-Cyr, Legrand D. F., 2016. "Accounting for farm heterogeneity in the assessment of agricultural policy impacts on structural change," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235778, Agricultural and Applied Economics Association.

  54. T. Takayama & G. G. Judge, 1964. "An Interregional Activity Analysis Model for the Agricultural Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(2), pages 349-365.

    Cited by:

    1. Kallio, A. Maarit I., 2021. "Wood-based textile fibre market as part of the global forest-based bioeconomy," Forest Policy and Economics, Elsevier, vol. 123(C).
    2. Gallagher, Paul W. & Shapouri, Hosein & Price, Jeffrey, 2006. "Welfare maximization, pricing, and allocation with a product performance or environmental quality standard: Illustration for the gasoline and additives market," ISU General Staff Papers 200606010700001452, Iowa State University, Department of Economics.
    3. Kunkel, David E. & Gonzales, Leonardo A. & Hiwatig, Mario H., 1977. "Application Of Mathematical Programming Models Simulating Competitive Market Equilibrium For Agricultural Policy And Planning Analysis," 1977 Occasional Paper Series No. 1 190948, International Association of Agricultural Economists.
    4. Oyewumi, Olubukola Ayodeju, 2005. "Modeling tariff rate quotas in the South African livestock industry," Master's Degree Theses 28064, University of the Free State, Department of Agricultural Economics.
    5. Cassidy, P.A. & McCarthy, W.O. & Toft, H.I., 1970. "An Application Of Spatial Analysis To Beef Slaughter Plant Location And Size, Queensland," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 14(1), pages 1-20, June.
    6. Miguel Riviere & Sylvain Caurla, 2020. "Representations of the Forest Sector in Economic Models [Les représentations du secteur forestier dans les modèles économiques]," Post-Print hal-03088084, HAL.
    7. Shumway, C. Richard, Jr., 1969. "Optimal Location of Field Crops and Vegetables in California to Meet Projected 1980 Demand," AAEA Fellows - Dissertations and Theses, Agricultural and Applied Economics Association, number 210972, December.
    8. Bishop, Phillip M. & Nicholson, Charles F., 2004. "Dairy Market Impacts of US Milk Protein Imports and Trade Policy Alternatives," Research Bulletins 122102, Cornell University, Department of Applied Economics and Management.
    9. Batterham, Robert L. & MacAulay, T. Gordon, 1994. "Price-Linked Farm And Spatial Equilibrium Models," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 38(2), pages 1-28, August.
    10. Schneider, Uwe A. & McCarl, Bruce A. & Schmid, Erwin, 2007. "Agricultural sector analysis on greenhouse gas mitigation in US agriculture and forestry," Agricultural Systems, Elsevier, vol. 94(2), pages 128-140, May.
    11. Gallagher, Paul W. & Shapouri, Hosein & Price, Jeffrey, 2003. "Welfare Maximization, Product Pricing, and Market Allocation in the Gasoline and Additives Market," Staff General Research Papers Archive 10675, Iowa State University, Department of Economics.
    12. Boggess, William Glenn, 1979. "Development and application of an interregional separable programming model of United States agriculture in 1985," ISU General Staff Papers 197901010800008192, Iowa State University, Department of Economics.
    13. Takayama, T., 1967. "International Trade And Mathematical Programming," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 11(1), pages 1-13, June.
    14. Solberg, Birger & Moiseyev, Alexander & Kallio, A. Maarit I., 2003. "Economic impacts of accelerating forest growth in Europe," Forest Policy and Economics, Elsevier, vol. 5(2), pages 157-171, July.
    15. Rojko, Anthony S. & Urban, Francis S. & Naive, James J., 1971. "World Demand Prospects for Grain in 1980: With Emphasis on Trade by the Less Developed Countries," Foreign Agricultural Economic Report (FAER) 145568, United States Department of Agriculture, Economic Research Service.
    16. Tromborg, Erik & Buongiorno, Joseph & Solberg, Birger, 2000. "The global timber market: implications of changes in economic growth, timber supply, and technological trends," Forest Policy and Economics, Elsevier, vol. 1(1), pages 53-69, May.
    17. Arifullah, Shahnaz A. & Önal, Hayri & Chishti, Anwar F., 2010. "Effects of technological progress on consumers’ and producers’ welfare: a case study for Pakistan Punjab," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 49(3), pages 1-13.
    18. Gallagher, Paul W. & Shapouri, Hosein & Price, Jeffrey, 2006. "Welfare maximization, pricing, and allocation with a product performance or environmental quality standard: Illustration for the gasoline and additives market," International Journal of Production Economics, Elsevier, vol. 101(2), pages 230-245, June.
    19. Sorda, Giovanni & Madlener, Reinhard, 2012. "Cost-Effectiveness of Lignocellulose Biorefineries and their Impact on the Deciduous Wood Markets in Germany," FCN Working Papers 8/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    20. T Rehman & C M Yates, 2005. "Inclusion of nonlinear demand–supply relationships within large-scale partial equilibrium linear programming models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 317-323, March.
    21. Taylor, C. Robert & Lacewell, Ronald D., 1977. "Boll Weevil Control Strategies: Regional Benefits And Costs," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 9(1), pages 1-7, July.

  55. T. Takayama & G. G. Judge, 1964. "An Intertemporal Price Equilibrium Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(2), pages 477-484.

    Cited by:

    1. Das, Prantika & Gundimeda, Haripriya, 2021. "Economic Evaluation of Achieving Biofuel Mandate through Advanced Biofuels in Developing Country: Case of India," 2021 Conference, August 17-31, 2021, Virtual 315355, International Association of Agricultural Economists.
    2. Blake, Martin J. & Johnson, Stanley R., 1979. "Inventory And Price Equilibrium Models Applied To The Storage Problem," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 11(1), pages 1-5, July.
    3. Rojko, Anthony S. & Regier, Donald W. & O'Brien, Patrick & Coffing, Arthur L. & Bailey, Linda, 1978. "Alternative Futures for World Food in 1985: Volume 1, World GOL Model Analytical Report," Foreign Agricultural Economic Report (FAER) 146876, United States Department of Agriculture, Economic Research Service.
    4. Stanley U. Okoro & Udo Schickhoff & Uwe A. Schneider, 2018. "Impacts of Bioenergy Policies on Land-Use Change in Nigeria," Energies, MDPI, vol. 11(1), pages 1-18, January.
    5. Tomek, William G. & Robinson, Kenneth L., 1977. "PART V. Agricultural Price Analysis and Outlook," AAEA Monographs, Agricultural and Applied Economics Association, number 337217, january.
    6. Yu, Yang & Li, Hong & Bao, Haibo, 2016. "Price dynamics and market relations in solar photovoltaic silicon feedstock trades," Renewable Energy, Elsevier, vol. 86(C), pages 526-542.
    7. Porteous, Obie, 2017. "Empirical effects of short-term export bans: The case of African maize," Food Policy, Elsevier, vol. 71(C), pages 17-26.
    8. Boutwell, Wayne A. & Kenyon, David E., 1973. "Storage Utilization In A Deficit Region," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 5(1), pages 1-5, July.
    9. Takayama, T., 1967. "International Trade And Mathematical Programming," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 11(1), pages 1-13, June.
    10. Nagurney, Anna & Li, Dong & Nagurney, Ladimer S., 2014. "Spatial price equilibrium with information asymmetry in quality and minimum quality standards," International Journal of Production Economics, Elsevier, vol. 158(C), pages 300-313.

  56. T. Takayama & G. G. Judge, 1964. "Spatial Equilibrium and Quadratic Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(1), pages 67-93.

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    1. Calatrava-Requena, Javier & Garrido, Alberto, 2003. "The Effects Of Spot Water Markets On The Economic Risk Derived From Variable Water Supply," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25885, International Association of Agricultural Economists.
    2. Stephen Devadoss & Prasanna Sridharan & Thomas Wahl, 2009. "Effects of Trade Barriers on U.S. and World Apple Markets," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(1), pages 55-73, March.
    3. Jones,James R. & Li, Shuangling & Devadoss, Stephen, 1994. "The Former Soviet Union And The World Wheat Economy," A.E. Research Series 305124, University of Idaho, Department of Agricultural Economics and Rural Sociology.
    4. Andrés Weintraub & Carlos Romero, 2006. "Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison," Interfaces, INFORMS, vol. 36(5), pages 446-457, October.
    5. Paulo D. Waquil & THOMAS L. COX, 1995. "Spatial Equilibrium with Intermediate Products: Implementation and Validation in the Mercosur," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 388, Wisconsin-Madison Agricultural and Applied Economics Department.
    6. Cox, Thomas L. & Zhu, Yong, 1997. "Assessing the Impacts of Liberalization in World Dairy Trade," Staff Papers 200586, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    7. Oyewumi, Olubukola Ayodeju & Jooste, Andre & Britz, Wolfgang & van Schalkwyk, Herman D., 2008. "Trade Liberalization in the South African Livestock Industry: implications for rural development," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 51997, African Association of Agricultural Economists (AAAE).
    8. Nagurney, Anna & Besik, Deniz & Dong, June, 2019. "Tariffs and quotas in world trade: A unified variational inequality framework," European Journal of Operational Research, Elsevier, vol. 275(1), pages 347-360.
    9. Paulo D. WAQUIL & Thomas L. COX, 1995. "Spatial Equilibrium With Intermediate Products: Implementation And Validation In The Mercosur," Staff Papers 388, University of Wisconsin Madison, AAE.
    10. Seyed Habibollah Mosavi, 2016. "Energy price reform and food markets: the case of bread supply chain in Iran," Agricultural Economics, International Association of Agricultural Economists, vol. 47(2), pages 169-179, March.
    11. Kawaguchi, Tsunemasa & Suzuki, Nobuhiro & Kaiser, Harry M., 1997. "Impact of Federal Marketing Orders on the Structure of Milk Markets in the United States," Research Bulletins 122809, Cornell University, Department of Applied Economics and Management.
    12. Nwachukwu, Chinedu Maureen & Olofsson, Elias & Lundmark, Robert & Wetterlund, Elisabeth, 2022. "Evaluating fuel switching options in the Swedish iron and steel industry under increased competition for forest biomass," Applied Energy, Elsevier, vol. 324(C).
    13. Omoregie, Edamwen M. & Thomson, Kenneth J., 2001. "Measuring regional competitiveness in oilseeds production and processing in Nigeria: a spatial equilibrium modelling approach," Agricultural Economics, Blackwell, vol. 26(3), pages 281-294, December.
    14. Oyewumi, Olubukola Ayodeju, 2005. "Modeling tariff rate quotas in the South African livestock industry," Master's Degree Theses 28064, University of the Free State, Department of Agricultural Economics.
    15. Minot, Nicholas & Goletti, Francesco, 2000. "Rice market liberalization and poverty in Viet Nam:," Research reports 114, International Food Policy Research Institute (IFPRI).
    16. Das, Prantika & Gundimeda, Haripriya, 2021. "Economic Evaluation of Achieving Biofuel Mandate through Advanced Biofuels in Developing Country: Case of India," 2021 Conference, August 17-31, 2021, Virtual 315355, International Association of Agricultural Economists.
    17. Allen, P. Geoffrey, 1975. "A Framework For Measuring The Economic Impact Of Alternative Pollution Control Policies: An Application To The Egg Producing Industry," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 4(2), pages 1-15, October.
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    19. Mustafa TERIN & Fahri YAVUZ, 2017. "A spatial equilibrium analysis for the possible regional impacts of the European Union full membership on the Turkey's dairy industry," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(4), pages 185-196.
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    21. Cassidy, P.A. & McCarthy, W.O. & Toft, H.I., 1970. "An Application Of Spatial Analysis To Beef Slaughter Plant Location And Size, Queensland," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 14(1), pages 1-20, June.
    22. Araujo-Enciso, Sergio Rene, 2011. "The Takayama and Judge Price and Allocation Model and its Application in Non-linear Techniques for Spatial Market Integration," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114225, European Association of Agricultural Economists.
    23. Larson, Donald F. & Sarris, Alexander, 2009. "The performance of Bulgarian food markets during reform," Policy Research Working Paper Series 4876, The World Bank.
    24. Dorward, Andrew & Morrison, Jamie & Robinson, Sherman & Tchale, Hardwick, 2004. "Differential Household Responses in a Poor Agricultural Economy: Implications for Agricultural Policy Analysis," Conference papers 331282, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    25. Alan Murray & Patricia Gober & Luc Anselin & Sergio Rey & David Sampson & Paul Padegimas & Yin Liu, 2012. "Spatial Optimization Models for Water Supply Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2243-2257, June.
    26. Miguel Riviere & Sylvain Caurla, 2020. "Representations of the Forest Sector in Economic Models [Les représentations du secteur forestier dans les modèles économiques]," Post-Print hal-03088084, HAL.
    27. Fuentes, Porfirio A. & Couvillion, Warren C. & Allen, Albert J., 2004. "Potential Effects Of Technological Advances In Transportation On The Trade Of Food Products Between The U.S. And Latin America," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(1), pages 1-7, March.
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    43. Anna Nagurney & Dana Hassani & Oleg Nivievskyi & Pavlo Martyshev, 2023. "Exchange rates and multicommodity international trade: insights from spatial price equilibrium modeling with policy instruments via variational inequalities," Journal of Global Optimization, Springer, vol. 87(1), pages 1-30, September.
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    60. Ekman, Sone & Andersson, Hans, 1998. "The economics of on-farm processing: model development and an empirical analysis," Agricultural Economics, Blackwell, vol. 18(2), pages 177-189, March.
    61. Unknown, 1985. "Proceeding of a Seminar Sponsored by Northcentral Regional Project NC-176, Northeastern Regional Project NE-153 Southern Regional Project S-166 "Dairy Modeling in the 1980's: A Symposium on Curre," Economics and Sociology Occasional Papers - ESO Series 243216, Ohio State University, Department of Agricultural, Environmental and Development Economics.
    62. Aghapour Sabbaghi, Mohammad & Nazari, Mohammadreza & Araghinejad, Shahab & Soufizadeh, Saeid, 2020. "Economic impacts of climate change on water resources and agriculture in Zayandehroud river basin in Iran," Agricultural Water Management, Elsevier, vol. 241(C).
    63. Sorda, Giovanni & Madlener, Reinhard, 2012. "Cost-Effectiveness of Lignocellulose Biorefineries and their Impact on the Deciduous Wood Markets in Germany," FCN Working Papers 8/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    64. Mohammad Torshizi & Richard Gray, 2018. "An Economic Analysis of Western Canadian Grain Export Capacity," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(2), pages 255-282, June.
    65. Massimiliano Calì & Stephan Nolte & Nicola Cantore, 2013. "Sweet and Sour Changes in Trade Regimes," The World Economy, Wiley Blackwell, vol. 36(6), pages 786-806, June.
    66. Éva E Plagányi & Ingrid van Putten & Olivier Thébaud & Alistair J Hobday & James Innes & Lilly Lim-Camacho & Ana Norman-López & Rodrigo H Bustamante & Anna Farmery & Aysha Fleming & Stewart Frusher & , 2014. "A Quantitative Metric to Identify Critical Elements within Seafood Supply Networks," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-15, March.
    67. Mehmet Kucukmehmetoglu, 2011. "Energy And Agricultural Policies Over The Transboundary Surface Water Resources," ERSA conference papers ersa11p1183, European Regional Science Association.
    68. Waquil, Paulo Dabdab & Cox, Thomas L., 1995. "Spatial Equilibrium With Intermediate Products: Implementation And Validation In The Mercosur," Staff Papers 12678, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    69. Hmaed Najafi Alamdarlo & Fariba Riyahi & Mohamad Hasan Vakilpoor, 2019. "Wheat Self-Sufficiency, Water Restriction and Virtual Water Trade in Iran," Networks and Spatial Economics, Springer, vol. 19(2), pages 503-520, June.
    70. Santiago Guerrero & Ben Henderson & Hugo Valin & Charlotte Janssens & Petr Havlik & Amanda Palazzo, 2022. "The impacts of agricultural trade and support policy reform on climate change adaptation and environmental performance: A model-based analysis," OECD Food, Agriculture and Fisheries Papers 180, OECD Publishing.

  57. George G. Judge & E.R. Swanson, 1962. "Markov Chains: Basic Concepts And Suggested Uses In Agricultural Economics," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 6(2), pages 49-61, December.

    Cited by:

    1. Dent, Warren Thomas & Ballintine, Richard, 1971. "A Review Of The Estimation Of Transition Probabilities In Markov Chains," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 15(2), pages 1-13, August.
    2. Legrand D. F, Saint-Cyr, 2017. "Farm heterogeneity and agricultural policy impacts on size dynamics: evidence from France," Working Papers SMART 17-04, INRAE UMR SMART.
    3. Tomek, William G. & Robinson, Kenneth L., 1977. "PART V. Agricultural Price Analysis and Outlook," AAEA Monographs, Agricultural and Applied Economics Association, number 337217, january.

  58. G. G. Judge & T. D. Wallace, 1958. "Estimation of Spatial Price Equilibrium Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 40(4), pages 801-820.

    Cited by:

    1. Riggins, Steven K., 1978. "A Spatial Analysis Of Western New York Corn Prices," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 7(1), pages 1-4, April.
    2. Oyewumi, Olubukola Ayodeju, 2005. "Modeling tariff rate quotas in the South African livestock industry," Master's Degree Theses 28064, University of the Free State, Department of Agricultural Economics.
    3. Dorward, Andrew & Morrison, Jamie & Robinson, Sherman & Tchale, Hardwick, 2004. "Differential Household Responses in a Poor Agricultural Economy: Implications for Agricultural Policy Analysis," Conference papers 331282, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. English, Burton C. & Short, Cameron & Heady, Earl O., 1981. "Tatonnement Modelling: A Variation To Linear Programming," 1981 Annual Meeting, July 26-29, Clemson, South Carolina 279243, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Koo, Won W. & Joerger, Paul J., 1984. "Spatial Equilibrium Analysis of the U.S. Hard Red Spring Wheat Industry under Alternative Transportation Rate Structures," Agricultural Economics Reports 23277, North Dakota State University, Department of Agribusiness and Applied Economics.
    6. Bates, Thomas H. & Schmitz, Andrew, 1969. "A Spatial Equilibrium Analysis of the World Sugar Economy," Monographs, University of California, Davis, Giannini Foundation, number 251920, December.
    7. Jansson, Torbjörn & Heckelei, Thomas, 2009. "A new estimator for trade costs and its small sample properties," Economic Modelling, Elsevier, vol. 26(2), pages 489-498, March.
    8. Torbjorn Jansson, 2000. "Estimating Prices and Excess Demand and Trade Costs in a Spatial Price Equilibrium Model," Regional and Urban Modeling 283600040, EcoMod.
    9. Riggins, Steven K., 1978. "The Pricing Efficiency Of Corn In A Minor Surplus Production Area," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 10(2), pages 1-5, December.
    10. Tomek, William G. & Robinson, Kenneth L., 1977. "PART V. Agricultural Price Analysis and Outlook," AAEA Monographs, Agricultural and Applied Economics Association, number 337217, january.
    11. Van der Sluis, Evert, 1988. "A nonlinear multicountry multicommodity spatial equilibrium model with an application," ISU General Staff Papers 1988010108000018153, Iowa State University, Department of Economics.
    12. Jansson, Torbjorn, 2005. "Two Ways of Estimating a Transport Model," Discussion Papers 18787, University of Bonn, Institute for Food and Resource Economics.
    13. Jansson, Torbjorn, 2005. "Two ways of estimating a transport model," 2005 Annual meeting, July 24-27, Providence, RI 19473, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  59. E. J. R. Booth & G. G. Judge, 1956. "The Impact of the Choice of Model on Measurements of Economic Behavior Relationships," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 38(2), pages 570-583.

    Cited by:

    1. Tomek, William G. & Robinson, Kenneth L., 1977. "PART V. Agricultural Price Analysis and Outlook," AAEA Monographs, Agricultural and Applied Economics Association, number 337217, january.

  60. T. C. Morrison & G. G. Judge, 1955. "Impact of Price Expectations and Uncertainties on Decision Making by Poultry Firms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 37(4), pages 652-663.

    Cited by:

    1. Jensen, Harald R., 1977. "PART I. Farm Management and Production Economics, 1946-70," AAEA Monographs, Agricultural and Applied Economics Association, number 337213, january.
    2. West, Donald Albert, 1969. "Swine Producers' Price Expectations And The Hog Cycle," Department of Economics and Business - Archive 259729, North Carolina State University, Department of Economics.

Chapters

  1. Judge, G.G. & Bock, M.E., 1983. "Biased estimation," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 10, pages 599-649, Elsevier.

    Cited by:

    1. Pere, Pekka, 2000. "Adjusted estimates and Wald statistics for the AR(1) model with constant," Journal of Econometrics, Elsevier, vol. 98(2), pages 335-363, October.
    2. Danilov, D.L. & Magnus, J.R., 2001. "On the Harm that Pretesting Does," Discussion Paper 2001-37, Tilburg University, Center for Economic Research.
    3. Wan, Alan T. K. & Chaturvedi, Anoop, 2001. "Double k-Class Estimators in Regression Models with Non-spherical Disturbances," Journal of Multivariate Analysis, Elsevier, vol. 79(2), pages 226-250, November.
    4. S. K. Sapra, 2003. "Pre-test estimation in Poisson regression model," Applied Economics Letters, Taylor & Francis Journals, vol. 10(9), pages 541-543.
    5. Mittelhammer, Ronald C. & Judge, George G. & Schoenberg, Ron, 2003. "Empirical Evidence Concerning the Finite Sample Performance of EL-Type Structural Equation Estimation and Inference Methods," CUDARE Working Papers 25090, University of California, Berkeley, Department of Agricultural and Resource Economics.
    6. Dette, Holger & Hetzler, Benjamin, 2006. "A simple test for the parametric form of the variance function in nonparametric regression," Technical Reports 2006,07, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    7. Burt, Oscar R. & Frank, Michael D. & Beattie, Bruce R., 1987. "Prior Information And Heuristic Ridge Regression For Production Function Estimation," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(2), pages 1-9, December.
    8. Shalabh, & Garg, G. & Heumann, C., 2012. "Performance of double k-class estimators for coefficients in linear regression models with non-spherical disturbances under asymmetric losses," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 35-47.
    9. Bodo E. Steiner, 2004. "Australian wines in the British wine market: A hedonic price analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 20(3), pages 287-307.
    10. Ashok Bansal & Priyanka Aggarwa, 2012. "Bayes pre-test estimation for the change point of the changing one parameter exponential family," METRON, Springer;Sapienza Università di Roma, vol. 70(1), pages 41-57, April.
    11. Danilov, D.L. & Magnus, J.R., 2002. "Estimation of the Mean of a Univariate Normal Distribution When the Variance is not Known," Other publications TiSEM 002a672b-73b6-4a8b-8901-7, Tilburg University, School of Economics and Management.
    12. Danilov, Dmitry & Magnus, J.R.Jan R., 2004. "On the harm that ignoring pretesting can cause," Journal of Econometrics, Elsevier, vol. 122(1), pages 27-46, September.
    13. Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123432, Agricultural and Applied Economics Association.
    14. Čížek, Pavel, 2004. "(Non) Linear Regression Modeling," Papers 2004,11, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    15. Steiner, Bodo E., 2002. "The Valuation Of Labelling Attributes In A Wine Market," 2002 Annual meeting, July 28-31, Long Beach, CA 19718, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  2. Judge, George G., 1977. "Estimation and Statistical Inference in Economics," A Survey of Agricultural Economics Literature, Volume 2: Quantitative Methods in Agricultural Economics, 1940s to 1970s,, Agricultural and Applied Economics Association.

    Cited by:

    1. Johnson, Glenn L., 1992. "PART FOUR. Philosophic Foundations of Agricultural Economic Thought from World War II to the mid-1970s," AAEA Monographs, Agricultural and Applied Economics Association, number 337234, january.
    2. Herrmann, Roland, 2005. "Gibt es keinen Methodenbeitrag der Agrarökonomie mehr?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 54(07), pages 1-3.
    3. Francois Bonnieux, 1983. "La place des méthodes économétriques dans le développement de la discipline," Post-Print hal-01600181, HAL.

Books

  1. Judge,George G. & Mittelhammer,Ron C., 2012. "An Information Theoretic Approach to Econometrics," Cambridge Books, Cambridge University Press, number 9780521869591.

    Cited by:

    1. Go, Delfin S. & Lofgren, Hans & Ramos, Fabian Mendez & Robinson, Sherman, 2016. "Estimating parameters and structural change in CGE models using a Bayesian cross-entropy estimation approach," Economic Modelling, Elsevier, vol. 52(PB), pages 790-811.
    2. Villas-Boas, Sofia B & Judge, George, 2013. "An Information Theoretic Approach To Understanding The Micro Foundations of Macro Processes," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0hz5g3cj, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.
    4. Chipeniuk, Karsten O. & Walker, Todd B., 2021. "Forward inflation expectations: Evidence from inflation caps and floors," Journal of Macroeconomics, Elsevier, vol. 70(C).
    5. Channing Arndt & Charles Fant & Sherman Robinson & Kenneth Strzepek, 2015. "Informed selection of future climates," Climatic Change, Springer, vol. 130(1), pages 21-33, May.
    6. Fu, Qiuzi & Villas-Boas, Sofia B & Judge, George, 2019. "Entropy-based China income distributions and inequality measures," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt03n491s7, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Henry, Miguel & Mittelhammer, Ron & Loomis, John, 2018. "An Information-Theoretic Approach to Estimating Willingness To Pay for River Recreation Site Attributes," MPRA Paper 89842, University Library of Munich, Germany.
    8. Tiziano Squartini & Enrico Ser-Giacomi & Diego Garlaschelli & George Judge, 2015. "Information Recovery in Behavioral Networks," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-11, May.
    9. Villas-Boas, Sofia & Fu, Qiuzi & Judge, George, 2015. "Is Benford's Law a Universal Behavioral Theory?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6x45h2fw, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Villas-Boas, Sofia B. & Fu, Qiuzi & Judge, George, 2019. "Entropy based European income distributions and inequality measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 686-698.
    11. Darío Debowicz & Paul Dorosh & Hamza Haider & Sherman Robinson, 2013. "A Disaggregated and Macro-consistent Social Accounting Matrix for Pakistan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 2(1), pages 1-25, December.
    12. Villas-Boas, Sofia B & Fu, Jenny & Judge, George, 2016. "Measuring The Inequality Nature Of European Micro Income Data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6445w1s5, Department of Agricultural & Resource Economics, UC Berkeley.
    13. T. Krishna Kumar, 2023. "Professor C. R. Rao, the Founder President of the Indian Econometric Society is Awarded the International Prize in Statistics, 2023," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 473-480, September.
    14. Debowicz, Dario & Dorosh, Paul A. & Robinson, Sherman & Haider, Syed Hamza, 2012. "A 2007-08 social accounting matrix for Pakistan:," PSSP working papers 1, International Food Policy Research Institute (IFPRI).
    15. George Judge, 2016. "Econometric Information Recovery in Behavioral Networks," Econometrics, MDPI, vol. 4(3), pages 1-11, September.
    16. Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123432, Agricultural and Applied Economics Association.
    17. Ellis Scharfenaker & Duncan Foley, 2017. "Maximum Entropy Estimation of Statistical Equilibrium in Economic Quantal Response Models," Working Papers 1710, New School for Social Research, Department of Economics, revised May 2017.
    18. Amos Golan & Aman Ullah, 2017. "Interval estimation: An information theoretic approach," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 781-795, October.

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