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Synthetic data. A novel proposed method for applied risk management

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  • De Nova, Carolina Carbajal

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  • De Nova, Carolina Carbajal, 2021. "Synthetic data. A novel proposed method for applied risk management," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311085, Agricultural Economics Society - AES.
  • Handle: RePEc:ags:aesc21:311085
    DOI: 10.22004/ag.econ.311085
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    1. Anna Bassi & Riccardo Colacito & Paolo Fulghieri, 2013. "'O Sole Mio: An Experimental Analysis of Weather and Risk Attitudes in Financial Decisions," The Review of Financial Studies, Society for Financial Studies, vol. 26(7), pages 1824-1852.
    2. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 53-62.
    3. Thomas B. Wiens, 1976. "Peasant Risk Aversion and Allocative Behavior: A Quadratic Programming Experiment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(4_Part_1), pages 629-635.
    4. repec:pri:cepsud:186malkiel is not listed on IDEAS
    5. Richard E. Just & Rulon D. Pope, 1979. "Production Function Estimation and Related Risk Considerations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 276-284.
    6. Burton G. Malkiel & Atanu Saha & Alex Grecu, 2009. "The Clustering of Extreme Movements: Stock Prices and the Weather," Working Papers 1162, Princeton University, Department of Economics, Center for Economic Policy Studies..
    7. Atanu Saha & C. Richard Shumway & Arthur Havenner, 1997. "The Economics and Econometrics of Damage Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 773-785.
    8. Shingo Kimura & Christine Le Thi, 2011. "Farm Level Analysis of Risk and Risk Management Strategies and Policies: Technical Note," OECD Food, Agriculture and Fisheries Papers 48, OECD Publishing.
    9. Saha Atanu & H. Alan Love & Robert Schwart, 1994. "Adoption of Emerging Technologies Under Output Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 836-846.
    10. Atanu Saha & Arthur Havenner & Hovav Talpaz, 1997. "Stochastic production function estimation: small sample properties of ML versus FGLS," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 459-469.
    11. Batra, Raveendra N & Ullah, Aman, 1974. "Competitive Firm and the Theory of Input Demand under Price Uncertainty," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 537-548, May/June.
    12. Atanu Saha, 1994. "Compensated optimal response under uncertainty in agricultural household models," Agricultural Economics, International Association of Agricultural Economists, vol. 11(2-3), pages 111-123, December.
    13. Saha, Atanu, 1994. "Compensated optimal response under uncertainty in agricultural household models," Agricultural Economics, Blackwell, vol. 11(2-3), pages 111-123, December.
    14. Saha, Atanu, 1997. "Risk Preference Estimation in the Nonlinear Mean Standard Deviation Approach," Economic Inquiry, Western Economic Association International, vol. 35(4), pages 770-782, October.
    15. Burton G. Malkiel & Atanu Saha & Alex Grecu, 2009. "The Clustering of Extreme Movements: Stock Prices and the Weather," Working Papers 1162, Princeton University, Department of Economics, Center for Economic Policy Studies..
    16. Just, Richard E. & Just, David R., 2011. "Global identification of risk preferences with revealed preference data," Journal of Econometrics, Elsevier, vol. 162(1), pages 6-17, May.
    17. Pope, Rulon D, 1980. "The Generalized Envelope Theorem and Price Uncertainty," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 75-86, February.
    18. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    19. Langemeier, Larry N., 1990. "Farm Management Data Bank·Documentation," Staff Papers 133757, Kansas State University, Department of Agricultural Economics.
    20. Jean-Paul Chavas, 2011. "On the microeconomics of diversification under learning," Journal of Economics, Springer, vol. 104(1), pages 25-47, September.
    21. Atanu Saha, 1993. "Expo-Power Utility: A ‘Flexible’ Form for Absolute and Relative Risk Aversion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 905-913.
    22. Chavas, Jean-Paul & Holt, Matthew T, 1996. "Economic Behavior under Uncertainty: A Joint Analysis of Risk Preferences and Technology," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 329-335, May.
    23. H. Alan Love & Steven T. Buccola, 1991. "Joint Risk Preference-Technology Estimation with a Primal System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 765-774.
    24. Matthew J. Schneider & John M. Abowd, 2015. "A new method for protecting interrelated time series with Bayesian prior distributions and synthetic data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 963-975, October.
    25. A. Sandmo, 1970. "The Effect of Uncertainty on Saving Decisions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 37(3), pages 353-360.
    26. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    27. Richard L. Simmons & Carlos Pomareda, 1975. "Equilibrium Quantity and Timing of Mexican Vegetable Exports," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(3), pages 472-479.
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    Research Methods/ Statistical Methods; Risk and Uncertainty;

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