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日期精度:到日 2409 篇 · 到月 3862 篇 · 到年 470 篇 · 未提供 22 篇
A Theory of Serial Correlation of Stochastic Taste Changers in Direct Utility Functions
直接效用函数中随机偏好变动的序列相关理论
Methods of maximum-likelihood search (eg., Hildreth-Lu) for single equations models with autocorrelated disturbances are not easily extended to the multi-equation systems encountered in econometric studies of consumer demand. The obstacle is the large dimension of the space of independent serial correlation coefficients to be partitioned and searched. This paper treats stochastic disturbance vectors in demand/expenditure systems as functions of random disturbances in…
Improving Some Instrumental Variables Test Procedures
若干工具变量检验程序的改进
This paper is concerned with Cornish–Fisher corrections of some instrumental variables test statistics. The tests based on the corrected statistics have size with error of a smaller order of magnitude than the original tests. Symmetric Edgeworth-corrected confidence regions are also defined for the structural parameters. All these corrections are given as analytic formulas that require only limited information, so their implementation is a relatively easy task.
Is victimization chronic? a Bayesian analysis of multinomial missing data
Estimating Gross Labor-Force Flows
劳动力状态间总转移流量的估计
We present and apply an adjustment procedure for the Bureau of the Census and Bureau of Labor Statistics gross labor-force flows data that addresses two major defects in the data. First, an adjustment procedure is developed to take account of individuals with missing labor-force classifications who are not missing at random. Second, we provide a procedure for adjustment for individuals with spurious labor-force transitions arising because of classification errors in either…
Maximum Likelihood Regression of Rank-Censored Data
秩删失数据的最大似然回归
Linear regression is a common method for analyzing continuous, cardinal data, but it is inappropriate when the dependent variable is an ordinal ranking. The model proposed for analyzing these data sets is the general linear model u = Xβ + ε, where the rank of the dependent variable u is observed instead of its value. A description is given for a numerical algorithm to evaluate the likelihood function that is efficient enough to permit maximum likelihood estimation of…
Estimating the Short-Run Income Elasticity of Demand for Electricity by Using Cross-Sectional Categorized Data
利用收入分类横截面数据估计电力需求的短期收入弹性
This study uses the 1980 energy application survey conducted by Ontario Hydro to estimate a short-run or conditional demand for electricity model. Two-step inference procedures are developed to take account of the special nature of the data in which the income variable is recorded in categorical form. Comparisons of short-run income elasticities with other studies, using the complete information of income variable, are also made.
Maximum Likelihood Regression of Rank-Censored Data
秩删失数据的最大似然回归
Linear regression is a common method for analyzing continuous, cardinal data, but it is inappropriate when the dependent variable is an ordinal ranking. The model proposed for analyzing these data sets is the general linear model u = Xβ + ε, where the rank of the dependent variable u is observed instead of its value. A description is given for a numerical algorithm to evaluate the likelihood function that is efficient enough to permit maximum likelihood estimation of…
Estimating the Short-Run Income Elasticity of Demand for Electricity by Using Cross-Sectional Categorized Data
利用横截面分组数据估计电力需求的短期收入弹性
This study uses the 1980 energy application survey conducted by Ontario Hydro to estimate a short-run or conditional demand for electricity model. Two-step inference procedures are developed to take account of the special nature of the data in which the income variable is recorded in categorical form. Comparisons of short-run income elasticities with other studies, using the complete information of income variable, are also made.
Score tests for zero covariances in recursive linear models for grouped or censored data
The Effect of Bias, Variance Estimation, Skewness and Kurtosis of the Empirical Logit on Weighted Least Squares Analyses
The bias and first four cumulants of the empirical logit transformation of a binomial variate are studied by means of asymptotic expansions and exact computation. The covariance of the empirical logit and its estimated variance is derived. Neither the +½ correction of Haldane (1955) and Anscombe (1956) nor the −½ suggested by Cox (1970) for weighted logit regression is universally effective in reducing bias. Other corrections are considered. The distribution of the empirical…
Generalised residuals and heterogeneous duration models
Computation in duration models with heterogeneity
Comment on “The Relative Deprivation Curve and Its Applications”
对《相对剥夺曲线及其应用》的评论
The article by Kakwani (1984) introduced a measure of inequality that is weighted to take account of a sense of deprivation an individual may feel on seeing others who are better off. In the second part of the article, Kakwani presented estimates of deprivation using Australian data. I would like, first, to comment on the welfare implications of the measure of relative deprivation proposed in the article and, second, to point out some crucial assumptions underlying the use…
A Multinomial Logit Model for the Spatial Distribution of Hospital Utilization
医院利用空间分布的多项 Logit 模型
Effective planning and management of multi-institutional health care systems require models to explain and predict hospital utilization in a region. In this study, a multinomial logit model has been formulated and estimated for inpatient hospital utilization in a region. Various measures and indexes that account for the relative attractiveness of hospitals are used in the specification of the model. A data base of more than 130,000 patient records is used to estimate the…
How Long Is a Spell of Unemployment? Illusions and Biases in the Use of CPS Data
失业会持续多久?使用 CPS 数据的错觉与偏差
Most data used to study the durations of unemployment spells come from the Current Population Survey, which is a point-in-time survey and gives an incomplete picture of the underlying duration distribution.We introduce a new sample of completed unemployment spells obtained from panel data and apply CPS sampling and reporting techniques to replicate the type of data used by other researchers.Predicted duration distributions derived from this CPS-like data are then compared to…
On the Joint and Marginal Densities of Instrumental Variable Estimators in a General Structural Equation
一般结构方程中工具变量估计量的联合与边际密度
Starting from the conditional density of the instrumental variable (IV) estimator given the right-hand-side endogenous variables, we provide an alternative derivation of Phillips' result on the joint density of the IV estimator for the endogenous coefficients, and derive an expression for the marginal density of a linear combination of these coefficients. In addition, we extend Phillips' approximation to the joint density to 0( T −2 ,) and show how this result can be used to…
Asymptotic Normality of the Kernel Quantile Estimator
核分位数估计量的渐近正态性
Multidimensional asymptotic normality of the kernel quantile estimator is established under fairly general conditions on the underlying distribution function and on the kernel. Sharpening these assumptions, one can utilize the proof to achieve also a bound for the rate of convergence which entails the comparison of the kernel estimator with the empirical quantile on the basis of their covering probabilities.
Estimating a Distribution Function with Truncated Data
截断数据下的分布函数估计
Let $\mathscr{P}$ be a finite population with $N \geq 1$ elements; for each $e \in \mathscr{P}$, let $X_e$ and $Y_e$ be independent, positive random variables with unknown distribution functions $F$ and $G$; and suppose that the pairs $(X_e, Y_e)$ are i.i.d. We consider the problem of estimating $F, G$, and $N$ when the data consist of those pairs $(X_e, Y_e)$ for which $e \in \mathscr{P}$ and $Y_e \leq X_e$. The nonparametric maximum likelihood estimators (MLEs) of $F$ and $G$…
Statistical Analysis of Multiple Sociometric Relations
多重社会关系的统计分析
Loglinear models are adapted for the analysis of multivariate social networks, a set of sociometric relations among a group of actors. Models that focus on the similarities and differences between the relations and models that concentrate on individual actors are discussed. This approach allows for the partitioning of the actors into blocks or subgroups. Some ideas for combining these models are described, and the various models and computational methods are applied to the…
Consistent Estimation of the Impact of Tax Deductibility on the Level of Charitable Contributions
税收抵扣对慈善捐赠水平影响的一致估计
When charitable contributions are tax deductible, the marginal price of charitable giving in other consumption foregone per dollar of contributions is generally less than unity. Further, if the income tax schedule is a progressive step function, the marginal price of contributions is generally a rising step function of the level of contributions. The problem of estimating a contributions demand function for individuals is therefore complicated by the spurious correlation…
An Investigation of Commodity Futures Prices Using the Consumption‐Based Intertemporal Capital Asset Pricing Model
基于消费的跨期资本资产定价模型:商品期货价格检验
ABSTRACT In this paper we extend the multigood futures pricing model of Grauer and Litzenberger [9] to a dynamic discrete time setting. We then test the model using data on futures prices for corn, wheat, and soybeans. The parameter estimates we obtain are similar to those obtained by other researchers using stock return data. The model itself is rejected and we offer some suggestions as to which assumption may be violated. We also give an interpretation to the…
Dynamic models of the labor force behavior of married women which can be estimated using limited amounts of past information
Analysis of Field Experiments by Least Squares Smoothing
用最小二乘平滑分析田间试验
SUMMARY Assuming a smooth trend plus independent error model for the environmental effects in the yields of a field plot experiment, least squares smoothing methods are developed to estimate both the treatment effects and the unknown trend. Treatment estimates are closely related to those resulting from a generalized least squares analysis in which the covariance structure for the environmental effects has a particular form. However, the main emphases are on the accuracy of…