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D. Wiley, W. Schmidt, W. Bramble (1973)
Studies of a Class of Covariance Structure ModelsJournal of the American Statistical Association, 68
J. Mullen, T. Cox (1996)
Measuring Productivity Growth in Australian Broadacre AgricultureEnvironmental Economics eJournal
Lloyd McKay, D. Lawrence, Chris Vlastuin (1980)
Input Demand and Substitution in the Australian Sheep IndustryReview of marketing and agricultural economics, 48
(1978)
Testing and Imposing Monotonicity, Convexity and Quasiconvexity Constraints
R. Pope, R. Just (1998)
Cost Function Estimation Under Risk AversionWiley-Blackwell: American Journal of Agricultural Economics
R. Chambers (1988)
Applied Production Analysis
E. Berndt, D. Wood (1975)
Technology, Prices, and the Derived Demand for EnergyThe Review of Economics and Statistics, 57
Xueyan Zhao, W. Griffiths, G. Griffith, J. Mullen (2000)
Probability distributions for economic surplus changes: the case of technical change in the Australian wool industryAustralian Journal of Agricultural and Resource Economics, 44
H. Bigsby (1995)
PRODUCTION STRUCTURE AND THE AUSTRALIAN SAWMILLING INDUSTRYAustralian Journal of Agricultural and Resource Economics, 38
W. Barnett (1983)
New Indices of Money Supply and the Flexible Laurent Demand SystemJournal of Business & Economic Statistics, 1
W. Griffiths, H. Lutkepohl, M. Bock, G. Judge (1992)
Readings in econometric theory and practice : a volume in honor of George Judge
W. Diewert (1971)
An Application of the Shephard Duality Theorem: A Generalized Leontief Production FunctionJournal of Political Economy, 79
B. Fisher, Charles Wall (1990)
SUPPLY RESPONSE IN THE AUSTRALIAN SHEEP INDUSTRY: A PROFIT FUNCTION APPROACHAustralian Journal of Agricultural and Resource Economics, 34
(1985)
Transient.” Operations Research
Ramón López (1980)
The Structure of Production and the Derived Demand for Inputs in Canadian AgricultureAmerican Journal of Agricultural Economics, 62
A. Gallant, G. Golub (1984)
Imposing curvature restrictions on flexible functional formsJournal of Econometrics, 26
L. Christensen, D. Jorgenson, L. Lau (1971)
CONJUGATE DUALITY AND THE TRANSCENDENTAL LOGARITHMIC FUNCTION, 39
T. Coelli (1996)
Measurement of Total Factor Productivity Growth and Biases in Technological Change in Western Australian AgricultureJournal of Applied Econometrics, 11
C. Shumway, William Alexander (1988)
Agricultural Product Supplies and Input Demands: Regional ComparisonsAmerican Journal of Agricultural Economics, 70
C. O'Donnell, A. Woodland (1995)
Estimation of Australian Wool and Lamb Production Technologies under Uncertainty: An Error-Components ApproachAmerican Journal of Agricultural Economics, 77
Talpaz Hovav, William Alexander, R. Shumway (1989)
Estimation of systems of equations subject to curvature constraintsJournal of Statistical Computation and Simulation, 32
S. Chib, E. Greenberg (1996)
Markov Chain Monte Carlo Simulation Methods in EconometricsEconometric Theory, 12
Geof Watts, J. Quiggin (1984)
A Note on the Use of a Logarithmic Time TrendReview of marketing and agricultural economics, 52
(1995)
CODA Manual Version 3.0
G. Casella, E. George (1992)
Explaining the Gibbs SamplerThe American Statistician, 46
P. Heidelberger, P. Welch (1983)
Simulation Run Length Control in the Presence of an Initial TransientOper. Res., 31
D. Terrell (1996)
Incorporating monotonicity and concavity conditions in flexible functional formsJournal of Applied Econometrics, 11
K. White (1978)
A GENERAL COMPUTER PROGRAM FOR ECONOMETRIC METHODS- SHAZAMEconometrica, 46
Patrick Robinson, A. Zellner (1974)
An Introduction to Bayesian Inference in Econometrics., 137
R. Frydman, G. Judge, W. Griffith, R. Hill, Tsoung-chao Lee (1981)
The Theory and Practice of EconometricsJournal of Business & Economic Statistics, 3
W. Diewert, T. Wales (1989)
Flexible Functional Forms and Global Curvature ConditionsNBER Working Paper Series
Systems of equations comprising cost functions and first‐order derivative equations are often used to estimate characteristics of production technologies. Unfortunately, many estimated systems violate the regularity conditions implied by economic theory. Sampling theory methods can be used to impose these conditions globally, but these methods destroy the flexibility properties of most functional forms. We demonstrate how Bayesian methods can be used to maintain flexibility by imposing regularity conditions locally. The Bayesian approach is used to estimate a system of cost and share equations for the merino wool‐growing sector. The effect of local imposition of monotonicity and concavity on the signs and magnitudes of elasticities is examined.
The Australian Journal of Agricultural Resource Economics – Wiley
Published: Mar 1, 2000
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