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Volumn 92, Issue 1, 2010, Pages 196-204

Do economic variables follow scale or location-scale distributions?

Author keywords

bias test; location scale; multiplicative error; scale; wheat production

Indexed keywords

ECONOMICS; EMPIRICAL ANALYSIS; MONTE CARLO ANALYSIS; NUMERICAL MODEL; WHEAT;

EID: 77956606517     PISSN: 00029092     EISSN: 14678276     Source Type: Journal    
DOI: 10.1093/ajae/aap010     Document Type: Article
Times cited : (7)

References (20)
  • 1
    • 84952526263 scopus 로고
    • Testing the stochastic structure of production: A flexible moment-based approach
    • Antle, J. M. 1983. Testing the Stochastic Structure of Production: A Flexible Moment-Based Approach. Journal of Business and Economic Statistics 1: 190-201.
    • (1983) Journal of Business and Economic Statistics , vol.1 , pp. 190-201
    • Antle, J.M.1
  • 3
    • 38249005958 scopus 로고
    • Should normality be a normal assumption?
    • Dorfman, J. H. 1993. Should Normality be a Normal Assumption? Economics Letters 42(2-3): 143-147
    • (1993) Economics Letters , vol.42 , Issue.2-3 , pp. 143-147
    • Dorfman, J.H.1
  • 4
    • 2142851610 scopus 로고
    • Point estimation in multiplicative models
    • Evans, I.G., and S. A. Shaban. 1976. Point Estimation in Multiplicative Models. Econometrica 44: 467-473
    • (1976) Econometrica , vol.44 , pp. 467-473
    • Evans, I.G.1    Shaban, S.A.2
  • 6
    • 67649933820 scopus 로고
    • The estimation of cobb-douglas type functions with multiplicative and additive errors
    • June
    • Goldfeld, S. M., and R. E. Quandt. 1970. The estimation of Cobb-Douglas type functions with multiplicative and additive errors. International Economic Review XI(June): 251-257.
    • (1970) International Economic Review XI , pp. 251-257
    • Goldfeld, S.M.1    Quandt, R.E.2
  • 9
    • 0038439237 scopus 로고    scopus 로고
    • Stochastictechnology, risk P, and adoption of site-specifictechnologies
    • Isik, M.,and M. Khanna. 2003. StochasticTechnology, Risk P, and Adoption of Site-SpecificTechnologies. American Journal of Agricultural Economics 85(2): 305-317
    • (2003) American Journal of Agricultural Economics , vol.85 , Issue.2 , pp. 305-317
    • Isik, M.1    Khanna, M.2
  • 10
    • 0346700228 scopus 로고
    • Stochastic specification of production functions and economic implications
    • Just, R. E., and R. D. Pope. 1978. Stochastic Specification of Production Functions and Economic Implications. Journal of Econometrics 7: 67-86.
    • (1978) Journal of Econometrics , vol.7 , pp. 67-86
    • Just, R.E.1    Pope, R.D.2
  • 12
    • 0346640240 scopus 로고    scopus 로고
    • Agricultural risk models: Adequacy of data, models and issues
    • Just, R. E., and R. D. Pope. 2003. Agricultural Risk Models: Adequacy of Data, Models and Issues. American Journal of Agricultural Economics 85(5): 1249-1256
    • (2003) American Journal of Agricultural Economics , vol.85 , Issue.5 , pp. 1249-1256
    • Just, R.E.1    Pope, R.D.2
  • 13
    • 0034130051 scopus 로고    scopus 로고
    • Nonparametric estimation of crop insurance rates revisited.american
    • Ker, A. P., and B. K. Goodwin. 2000. Nonparametric Estimation of Crop Insurance Rates Revisited.American Journal ofAgricultural Economics 82(2): 463-478
    • (2000) Journal OfAgricultural Economics , vol.82 , Issue.2 , pp. 463-478
    • Ker, A.P.1    Goodwin, B.K.2
  • 14
    • 0005767509 scopus 로고
    • Testing the error specification in nonlinear regression
    • Leech,D. 1975. Testing the Error Specification in Nonlinear Regression. Econometrica 43(4): 719-725
    • (1975) Econometrica , vol.43 , Issue.4 , pp. 719-725
    • Leech, D.1
  • 15
    • 67049134859 scopus 로고    scopus 로고
    • Joint estimation of risk P and technology: Flexible utility or futility?
    • Lence, S. 2009. Joint Estimation of Risk P andTechnology:Flexible Utility or Futility? American Journal of Agricultural Economics 91(3): 581-598
    • (2009) American Journal of Agricultural Economics , vol.91 , Issue.3 , pp. 581-598
    • Lence, S.1
  • 16
    • 85008736550 scopus 로고
    • Joint risk preference-technology estimation with a primal system
    • Love,H. A., and S.T. Buccola. 1991. Joint Risk Preference-Technology Estimation with a Primal System. American Journal of Agricultural Economics 73: 765-774
    • (1991) American Journal of Agricultural Economics , vol.73 , pp. 765-774
    • Loveh., A.1    Buccola, S.T.2
  • 17
    • 0003686431 scopus 로고
    • Distribution Theory. Fourth edition. New York: Macmillan Publishing Co
    • Kendall,M.,andA. Stuart. 1977.TheAdvanced Theory of Statistics, Volume 1: Distribution Theory. Fourth edition. New York: Macmillan Publishing Co.
    • (1977) The Advanced Theory of Statistics , vol.1
    • Kendall, M.1    Stuart, A.2
  • 18
    • 0000921289 scopus 로고
    • Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties
    • MacKinnon, J. G., and H. White. 1985. Some Heteroskedasticity-Consistent Covariance Matrix Estimators with Improved Finite Sample Properties. Journal of Econometrics 29(3): 305-325
    • (1985) Journal of Econometrics , vol.29 , Issue.3 , pp. 305-325
    • MacKinnon, J.G.1    White, H.2
  • 19
    • 0000026586 scopus 로고
    • Two-moment decision models and expected utility maximization
    • Meyer, J. 1987. Two-Moment Decision Models and Expected Utility Maximization. American Economic Review 77: 421-430
    • (1987) American Economic Review , vol.77 , pp. 421-430
    • Meyer, J.1
  • 20
    • 0031481472 scopus 로고    scopus 로고
    • Risk preference estimation in the nonlinear mean standard deviation approach
    • Saha, A. 1997. Risk Preference Estimation in the Nonlinear Mean Standard Deviation Approach. Economic Inquiry XXXV: 770-782
    • (1997) Economic Inquiry , vol.35 , pp. 770-782
    • Saha, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.