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[The Bias in Price Elasticity Estimates under Homothetic Separability: Implications for Analysis of Peak-Load Electricity Pricing]: Discussion
位似可分性下价格弹性估计的偏误：对电力高峰负荷定价分析的含义——讨论
Richard W. Parks, [The Bias in Price Elasticity Estimates under Homothetic Separability: Implications for Analysis of Peak-Load Electricity Pricing]: Discussion, Journal of Business & Economic Statistics, Vol. 1, No. 3 (Jul., 1983), pp. 221-225
On the estimation of multinomial logit models from relative frequency data
Maximum Likelihood Estimation of the Linear Expenditure System
线性支出系统的最大似然估计
The linear expenditure system provides a convenient model for representing consumer response to prices and income. The parameters of the model enter nonlinearly and standard estimation procedures lack desirable properties. This note discusses the problems with existing techniques and derives the maximum-likelihood estimators. The linear expenditure system (LES) was proposed and applied by Stone [7, 8], and it has found further application in [9], [2], and [4]. Aspects of the…
Maximum Likelihood Estimation of the Linear Expenditure System
线性支出系统的最大似然估计
The linear expenditure system provides a convenient model for representing consumer response to prices and income. The parameters of the model enter nonlinearly and standard estimation procedures lack desirable properties. This note discusses the problems with existing techniques and derives the maximum-likelihood estimators. The linear expenditure system (LES) was proposed and applied by Stone [7, 8], and it has found further application in [9], [2], and [4]. Aspects of the…
Efficient Estimation of a System of Regression Equations when Disturbances are Both Serially and Contemporaneously Correlated
扰动同时存在序列相关与同期相关时回归方程组的有效估计
This paper considers the problem of obtaining efficient estimates for the parameters of a system of M regression equations. The disturbance terms of this system are assumed to be related by both serial and contemporaneous correlation. Under the further assumption that the serial correlation is a first order autoregressive process, the paper develops an estimator that is consistent and has the same asymptotic normal distribution as the Aitken estimator which assumes the…