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A Note on Some Monte Carlo Results on Non‐Negative Variance Estimators for a Random Coefficient Regression Model
Author(s) -
Froehlich B. R.
Publication year - 1973
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.2307/1238444
Subject(s) - estimator , variance (accounting) , statistics , monte carlo method , mathematics , econometrics , control variates , quadratic equation , hybrid monte carlo , economics , markov chain monte carlo , geometry , accounting
A consistent estimator is used as a first step in estimating variances. Since this procedure frequently gives negative values, alternatives are proposed. One of these, the quadratic programming estimator, was believed to be superior to both of the others examined in this study. The experiment does not support this conjecture.