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A Note on Interdependence as a Specification Error

关于“相互依赖作为模型设定误差”的札记

In an earlier paper on "Interdependence as a Specification Error," Strotz has considered a recursive model with endogenous variables lagged by θ; letting θ go to 0, he argued that the likelihood function of the limit form of the model differed from the limit form of the likelihood function of the model. We show here that the two limits are obtained under different underlying assumptions; these alternative assumptions are brought out explicitly; under fixed assumptions, the…

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The Identification Problem for Multiple Equation Systems with Moving Average Errors

含移动平均误差的多方程系统的识别问题

where y(t) and x(t) are vectors of G components, z(t) has K components, B is a G x G matrix, and F is a G x K matrix.' The components of z(t) are predetermined at time t and the vector x(t) is not serially correlated, so that (among other requirements) we have

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Determinants of Negotiated Wage Increases: An Empirical Analysis

协商工资增长的决定因素:一项实证分析

This paper presents an empirical analysis of the determinants of negotiated wage changes using a pooled sample of time series observations for fourteen Canadian manufacturing industries. Data on individual contracts are used in an attempt to allow for the discontinuity of wage adjustments given the predominance of collective bargaining and variable contract length. Using a nonlinear formulation, profit levels, the unemployment rate, the rate of change of prices, and other…

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Comparison of k-Class Estimators When the Disturbances Are Small

扰动较小时 k 类估计量的比较

A new approach to the choice of econometric estimators, called small-sigma asymptotics, is introduced and applied to the choice of k-class estimators of the parameters of a single equation in a system of linear simultaneous stochastic equations. I find that when the degree of overidentification is no more than six, the two stage least squares estimator uniformly dominates the limited information maximum likelihood estimator in a certain sense. The small sigma method can be…

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Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods

THIS PAPER DEVELOPS some models for limited dependent variables.2 The distinguishing feature of these variables is that the range of values which they may assume has a lower bound and that this lowest value occurs in a fair number of observations. This feature should be taken into account in the statistical analysis of observations on such variables. In particular, it renders invalid use of the usual regression model. The second section of this paper develops several models…

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