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半非参数最大似然估计AI 解读

Often maximum likelihood is the method of choice for fitting an econometric model to data but cannot be used because the correct specific ation of (multivariate) density that defines the likelihood is unknown. In this situation, simply put the density equal to a Hermite series and apply standard finite dimensional maximum likelihood methods. Model parameters and nearly all aspects of the unknown density itself will be estimated consistently provided that the length of the…

基于二元面板数据的随机效应线性模型半参数分析AI 解读

Andersen_(1970) considered the problem of inference on random effects linear models from binary response panel data, and showed that inference is possible if the disturbances for each panel member are known to be white noise with the logistic distribution. The present paper shows that inference remains possible if the disturbances are known only to be time-stationary. A conditional version of the maximum score estimator consistently estimates the parameters up to scale.…

有序备选项的离散选择模型AI 解读

A generalization of the multinomial logit (MNL) model is developed for cases where discrete alternatives are ordered, by allowing stochastic correlation among alternatives in close proximity. The model belongs to the Generalized Extreme Value class and is therefore consistent with random utility maximization. An extension can handle cases where observations have been selected from a truncated choice set. A two-stage procedure using MNL computer software provides a…

期限结构中时变风险溢价的估计：ARCH-M 模型AI 解读

The expectati on of the excess holding yield on a long bond is postulated to depend upon its conditional variance. Engle's ARCH model is extended to allow the conditional variance to be a determinant of the mean and is called ARCH-M. Estimation and infer ence procedures are proposed, and the model is applied to three interest rate data sets. In most cases the ARCH process and the time varying risk premium are highly significant. A collection of LM diagnostic tests reveals…

含单位根的时间序列回归AI 解读

This paper studies the random walk in a general time series setting that allows for weakly dependent and heterogeneously distributed innovations. It is shown that simple least squares regression consistently estimates a unit root under very general conditions in spite of the presence of autocorrelated errors. The limiting distribution of the standardized estimator and the associated regression t statistic are found using functional central limit theory. New tests of the…

协整与误差修正：表示、估计与检验AI 解读

The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples. If each element of a vector of time series x first achieves stationarity after differencing, but a linear combination a'x is already stationary, the time series x are said to be co-integrated with co-integrating vector a. There may be several such co-integrating vectors so that a…

宏观经济计划与非均衡：波兰1955—1980年的估计AI 解读

This paper specifies and estimates a four-equation disequilibrium model of the consumption goods market in a centrally planned economy (CPE).The data are from Poland for the period 1955-1980, but the analysis is more general and will be applied to other CPEs as soon as the appropriate data sets are complete.This work is based on previous papers of Portes and Winter (P-W) and Charemza and Quandt (C-Q).P-W applied to each of four CPEs a discrete-switching disequilibrium model…

两人决策问题中的后验可实施性AI 解读

When a decision rule is implemented using a Bayesian incentive compatible mechanism in which the messages are publically obser vable, the players' information is augmented by their observation of each others' strategies. In this paper the authors study the set of Bayesian implementable decision rules which have the further property that the information c onveyed in the process of thier implementation does not invalidate the optimality of the players' strategies. Such rules…

灵活函数形式与全局曲率条件AI 解读

Empirically estimated flexible functional forms frequently fail to satisfy the appropriate theoretical curvature conditions. Lau and Gallant and Golub have worked out methods for imposing the appropriate curvature conditions locally, but those local techniques frequently fail to yield satisfactory results. We develop two methods for imposing curvature conditions globally in the context of cost function estimation. The first method adopts Lau's technique to a generalization…

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Tobit 模型的对称修剪最小二乘估计AI 解读

This papjer proposes alternatives to maximum likelihood estimation of the censored and truncated regression models (known to economists as "Tobit" models) .The proposed estimators are based on symmetric censoring or truncation of the upper tail of the distribution of the dependent variable.Unlike methods based on the assumption of identically distributed Gaussian errors/ the estimators are consistent and asymptotically normal for a wide class of error distributions and for…

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联合检验等式与不等式约束的 Wald 准则AI 解读

On montre comment le test de Wald s'applique a des ensembles de restrictions d'egalite et d'inegalite et on presente la distribution, pour de grands echantillons, du test sous l'hypothese nulle

估计量的稳定性比较AI 解读

THIS PAPER INVESTIGATES a property of estimators called stability. The stability exponent of an estimator is a measure of the magnitude of the effect of any single observation in the sample on the realized value of the estimator. A number of reasons related to robustness suggest that often it is desirable for an estimator to be relatively insensitive to any particular observation in the sample, i.e., to have high stability. In addition, it is useful for diagnostic purposes…

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误差成分模型的工具变量估计AI 解读

On propose des estimateurs efficaces en considerant des hypotheses alternatives sur les sources d'endogeneite et les proprietes de variance-covariance des perturbations

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Wald 统计量的精确分布AI 解读

On donne la distribution d'echantillon finie exacte de la statistique de Wald pour tester des restrictions lineaires generales sur les coefficients dans le modele lineaire multivariable

线性动态模型中乘数的置信域AI 解读

On donne des regions de confiance pour des multiplicateurs qui reconnaissent la variabilite d'echantillonnage des chocs estimes