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日期精度:到日 3192 篇 · 到月 3073 篇 · 到年 476 篇 · 未提供 22 篇
New Indices of Money Supply and the Flexible Laurent Demand System
新的货币供应量指数与灵活 Laurent 需求系统
The article begins by surveying the existing results on the new Divisia monetary aggregates. Charts display the differences in behavior between the Divisia aggregates and the Federal Reserve's official simple-sum monetary aggregates. The article then compares system-wide fit for the simple-sum and Divisia monetary aggregates when used as data in the joint estimation of a system of demand equations. The demand system is derived from a new Laurent expansion approximation to…
Significance tests with restricted randomization design
受限随机化设计下的显著性检验
Experimental subjects are assigned to one of two treatments sequentially by restricted randomization assignment rules. Significance tests generated from these rules are discussed. Under rather mild conditions on the test scores the asymptotic null permutational distribution of tests based on the urn design (Wei, 1977, 1978a) is shown to be normal.
‘Linear rank tests with right censored data’
The infectiousness of a disease in a community of households
Procedures for making inference about both the mean potential that an infective has for infecting a given susceptible from the same household, and the mean potential he has for infecting a given susceptible from another household are proposed. These estimation procedures provide a check for the assumption that the disease spreads homogeneously through the community, that is the assumption of homogeneous mixing. They also provide a means of checking whether or not the spread…
The central role of the propensity score in observational studies for causal effects
倾向得分在观察性因果效应研究中的核心作用
The propensity score is the conditional probability of assignment to a particular treatment given a vector of observed covariates. Both large and small sample theory show that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates. Applications include: (i) matched sampling on the univariate propensity score, which is a generalization of discriminant matching, (ii) multivariate adjustment by subclassification on the propensity…
Order Restricted Statistical Tests on Multinomial and Poisson Parameters: The Starshaped Restriction
Likelihood ratio statistics for (i) testing the homogeneity of a collection of multinomial parameters against the alternative which accounts for the restriction that those parameters are starshaped (cf. Shaked, Ann. Statist., 1979), and for (ii) testing the null hypothesis that this parameter vector is starshaped, are considered. For both tests the asymptotic distribution of the test statistic under the null hypothesis is a version of the Chi-bar-square distribution.…
Cluster Inference by using Transitivity Indices in Empirical Graphs
利用经验图传递性指标进行聚类推断
A random graph model is introduced for similarities observed between the objects sampled from an unknown cluster structure. We investigate this model and show how some common transitivity indices in empirical graphs can be used for making statistical inferences about cluster structures.
Estimation of Nonlinear Learning Models
非线性学习模型的估计
The article develops the structure and estimates the parameters of a nonlinear learning model applicable to research designs in which students are tested at the beginning and end of a course of study. A student's precourse score is an error-ridden proxy for his precourse aptitude. As a remedy for this problem, the article combines a probit model of test score outcomes, a learning function, and a linear equation relating aptitude to demographic characteristics to deduce the…
Round Robin Analysis of Variance via Maximum Likelihood
基于最大似然的循环配对方差分析
A class of two-way random-effects models is presented for analyzing data that arise in a large variety of round robin designs. Examples of such designs can be found in numerous games, tournaments, and social interactions. The proposed models provide information not only about individual differences but also about the mutual contingency of the behaviors of interaction dyads. The statistical inference of the linear effects is discussed and a converging algorithm based on the…
Estimation of Nonlinear Learning Models
非线性学习模型的估计
The article develops the structure and estimates the parameters of a nonlinear learning model applicable to research designs in which students are tested at the beginning and end of a course of study. A student's precourse score is an error-ridden proxy for his precourse aptitude. As a remedy for this problem, the article combines a probit model of test score outcomes, a learning function, and a linear equation relating aptitude to demographic characteristics to deduce the…
Round Robin Analysis of Variance Via Maximum Likelihood
基于最大似然的循环配对设计方差分析
A class of two-way random-effects models is presented for analyzing data that arise in a large variety of round robin designs. Examples of such designs can be found in numerous games, tournaments, and social interactions. The proposed models provide information not only about individual differences but also about the mutual contingency of the behaviors of interaction dyads. The statistical inference of the linear effects is discussed and a converging algorithm based on the…
A Note on Regression Analysis of Ordinal Data with Variability of Classification
分类变动下有序数据回归分析的一则札记
The effect of observation variability in the classification of an ordinal response is examined within the framework of the proportional hazards regression model for ordinal data. A model is proposed which incorporates this type of variability and the behaviour of the proportional hazards model when this new model is appropriate is examined. Four data sets are used to illustrate the practical application of the model.
A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model
Simultaneous Equations Analysis of Fertility in the U.S.: A Comment
美国生育率的联立方程分析:评论
Comments on a study by Conger and Campbell which postulated a 6 equation dynamic model including a fertility equation, estimated by 2 stage least squares on the basis of aggregate data for the U.S. The authors present a table with 3 sets of estimates for each of the 6 structural equations specified in the earlier study; 2 stage least squares estimates obtained for 1946-70 and 1946-76 and the estimates obtained by Conger and Campbell are indicated. The authors report that…
Specification error in multinomial logit models
The Permanent Income Hypothesis: Estimation and Testing by Instrumental Variables
The permanent income hypothesis with rational expectation is restated, estimated, and tested by an instrumental variables technique on the postwar U.S. aggregate time-series data. The hypothesis is accepted on a consumption series which includes service flows from consumer durables. If the consumption series is the one in the National Income and Product Accounts, the hypothesis is decisively rejected. An explanation is suggested to reconcile the conflicting test results.
Using Time-Series and Cross-Section Data to Estimate a Production Function with Positive and Negative Marginal Risks
利用时间序列与横截面数据估计具有正负边际风险的生产函数
Two production-function models with error components for time and firms and a heteroscedastic disturbance are proposed. Unlike previous models, these two permit the variance of output to increase or decrease as one of the inputs is increased. When the models and some suggested estimators are applied to the pastoral zone of eastern Australia, the results indicate that labor, water, and possibly fencing, are likely to reduce the variance of wool production; and that sheep, and…
Multinomial Probit: The Theory and its Application to Demand Forecasting.
On the Consistency of Nonlinear FIML
非线性完全信息极大似然估计的一致性
Examples are given which show that:(i) normality is not Necessary for the consistency of the quasi maximum likelihood estimator in the nonlinear simultaneous equations model (nonlinear FIML) even when there are major departures from linearity; and (ii) the lemma which is used extensively by Amemiya [2] in the theoretical development of the properties of nonlinear FIML under the assumption of normality is, as presently stated, incorrect.
Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models
非线性理性预期模型的广义工具变量估计
This paper describes a method for estimating and testing nonlinear rational expectations models directly from stochastic Euler equations. The estimation procedure makes sample counterparts to the population orthogonality conditions implied by the economic model close to zero. An attractive feature of this method is that the parameters of the dynamic objective functions of economic agents can be estimated without explicitly solving for the stochastic equilibrium.
Micro-Based Estimates of Demand Functions for Local School Expenditures
基于微观数据的地方学校支出需求函数估计
We devise and apply a new method for estimating demand for local public goods from survey data. Individuals' responses to questions about whether they wanted more, less, or the same amount of various local public goods are combined with observations of their incomes, tax rates, and the amounts of actual spending in their home communities. Parameter estimates turn out to be quite similar to those found with studies like Bergstrom and Goodman's study based on total…
Non-Parametric Bayesian Models for Samples from Finite Populations
有限总体样本的非参数贝叶斯模型
Summary Using Ferguson's (1973) non-parametric priors in a Bayesian analysis of finite populations, we show that asymptotically, at least, the usual estimates and confidence intervals for the population mean in simple and stratified random samples can be justified in Bayesian terms. We then apply these models for estimating population percentiles, and a new procedure for interval estimates in stratified sampling is developed.
Estimation of a Labour Supply Model with Censoring Due to Unemployment and Underemployment
失业与就业不足造成删失时的劳动供给模型估计
This study proposes and implements a method of labour supply estimation which is appropriate when the sample contains unemployed and underemployed workers. The estimation method consists of excluding unemployed and underemployed workers from the sample and then using (to avoid selection bias) an extension of Heckman's approach to the case where two correlated selection rules generate the sample. Hausman's specification test is then used to determine whether ignoring…