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面板数据:固定效应、动态面板、异质性与潜在分组。
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Empirical evidence on the sign of the slope of the hazard rate from unemployment from a fixed effects model

固定效应模型下失业退出风险率斜率符号的经验证据

Abstract Empirical evidence on the sign of the slope of the hazard rate from unemployment is obtained from a fixed effects model based on the gamma distribution for unemployment duration. The data used are pairs of unemployment spells for adult males in the control and experimental groups of the Denver Income Maintenance Experiment. The sample selection issue involved in selecting the pair of spells used in the empirical work is discussed. The empirical results suggest that…

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Bayesian Models for Directed Graphs

有向图的贝叶斯模型

Holland and Leinhardt (1981) proposed a simple exponential model called the p 1 model for analyzing digraphs that arise in studies of networks. A digraph consists of a set of g nodes and a g × g adjacency matrix (Xij ), where Xij = 1 if node i relates to node j and Xij = 0 otherwise. The underlying cell probabilities pij = Pr(Xij = 1) are to be estimated from these dichotomous responses. The p 1 model imposes an additive structure on a log-odds version of the pij . It…

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Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm

重复测量的最大似然计算:EM 算法的应用

The purpose of this article is to consider the use of the EM algorithm (Dempster, Laird, and Rubin 1977) for both maximum likelihood (ML) and restricted maximum likelihood (REML) estimation in a general repeated measures setting using a multivariate normal data model with linear mean and covariance structure (Anderson 1973). Several models and methods of analysis have been proposed in recent years for repeated measures data; Ware (1985) presented an overview. Because the EM…

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Semiparametric Analysis of Random Effects Linear Models from Binary Panel Data

基于二元面板数据的随机效应线性模型半参数分析

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.…

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Exponential Dispersion Models

指数离散模型

SUMMARY We study general properties of the class of exponential dispersion models, which is the multivariate generalization of the error distribution of Nelder and Wedderburn’s (1972) generalized linear models. Since any given moment generating function generates an exponential dispersion model, there exists a multitude of exponential dispersion models, and some new examples are introduced. General results on convolution and asymptotic normality of exponential dispersion…

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A Successive Differences Method for Growth Curves with Missing Data and Random Observation Times

缺失数据与随机观测时点下增长曲线的相邻差分法

Incomplete growth curve data can be analyzed by the successive differences (SD) method, which uses the difference in consecutive pairs of observations for all subjects having two or more repeated measures. We have generalized it to handle varying observation times as well by partitioning the time interval spanned by all repeated measures into subintervals. The model is developed, including test statistics for the hypotheses of parallelism and of no change in response level…

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Censored Observations, Repeated Measures and Mixed Effects Models: An Approach Using the EM Algorithm and Normal Errors

删失观测、重复测量与混合效应模型:正态误差下的 EM 方法

Maximum likelihood estimation of a vector regression parameter and variance com ponents is considered for the mixed effects model when observations are right censored. A general scheme of estimation is given using the EM algorithm and detailed results found for the model with between and within block variation. This model is applied to the logarithms of survival times from a repeated measures design.

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Residual Variance and Residual Pattern in Nonlinear Regression

非线性回归中的残差方差与残差模式

A nonparametric estimator of residual variance in nonlinear regression is proposed. It is based on local linear fitting. Asymptotically the estimator has a small bias, but a larger variance compared with the parametric estimator in linear regression. Finite sample properties are investigated in a simulation study, including a comparison with other nonparametric estimators. The method is also useful for spotting heteroscedasticity and outliers in the residuals at an early…

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Pooling Under Misspecification: Some Monte Carlo Evidence on the Kmenta and the Error Components Techniques

误设下的合并估计:Kmenta 与误差分量方法的蒙特卡洛证据

Two different methods for pooling time series of cross section data are used by economists. The first method, described by Kmenta, is based on the idea that pooled time series of cross sections are plagued with both heteroskedasticity and serial correlation.The second method, made popular by Balestra and Nerlove, is based on the error components procedure where the disturbance term is decomposed into a cross-section effect, a time-period effect, and a remainder.Although…

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Wage Indexation and Compensating Wage Differentials

A stractThe theory of wage indexation implies that if workers are more risk averse than firms, then workers will pay a price in order to obtain wage indexation. This prediction is tested on a sample of 3,115 U.S. manufacturing collective bargaining negotiations from 1967 to 1982. The dependent variable is the expected real wage level taking into account expected cost of living payments (Colas). Using instrumental variables or fixed effects techniques to account for the…

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Instrumental-Variable Estimation of an Error-Components Model

误差成分模型的工具变量估计

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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On Cross-Lagged Panel Models With Serially Correlated Errors

误差具有序列相关的交叉滞后面板模型

Cross-lagged panel studies are studies in which two or more variables are measured for a large number of subjects at each of several points in time. The variables divide naturally into two sets, and the purpose of the analysis is to estimate and test the cross-effects between the two sets. One approach to this analysis is to treat the cross-effects as parameters in regression equations. This study contributes to this approach by extending the regression model to a…

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Sample Attrition and Labor Supply Response in Experimental Panel Data

实验面板数据中的样本流失与劳动供给反应

Sample attrition is a potentially serious problem for analysis of panel data, particularly experimental panel data. In this article, a variety of estimation procedures are used to assess the importance of attrition bias in labor supply response to the Seattle and Denver Income Maintenance Experiments (SIME/DIME). Data from Social Security Administration earnings records and the SIME/DIME public use file are used to test various hypotheses concerning attrition bias. The study…

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Sample Attrition and Labor Supply Response in Experimental Panel Data: A Study of Alternative Correction Procedures

实验面板数据中的样本流失与劳动供给反应:替代校正程序研究

Philip K. Robins, Richard W. West, Sample Attrition and Labor Supply Response in Experimental Panel Data: A Study of Alternative Correction Procedures, Journal of Business & Economic Statistics, Vol. 4, No. 3 (Jul., 1986), pp. 329-338

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Characterization of Externally Bayesian Pooling Operators

外部贝叶斯意见汇总算子的刻画

When a panel of experts is asked to provide some advice in the form of a group probability distribution, the question arises as to whether they should synthesize their opinions before or after they learn the outcome of an experiment. If the group posterior distribution is the same whatever the order in which the pooling and the updating are done, the pooling mechanism is said to be externally Bayesian by Madansky (1964). In this paper, we characterize all externally Bayesian…

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A Latent Markov Model Approach to the Estimation of Response Errors in Multiwave Panel Data

用潜在马尔可夫模型估计多期面板中的回答误差

When direct measures of response error are not available in multiwave panel data, latent Markov chain models can provide a useful framework for analysis of response errors. These models permit the estimation of real change and response error even when the observations are widely spaced. This methodology is illustrated with Social Security Administration panel data from the years 1971, 1972, and 1974 (see Frohlich 1975 and Social Security Administration 1979a,b) on…

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The frequency of price adjustment

价格调整的频率

Data on the newsstand prices of American magazines is used to investigate the determinants of the frequency of nominal price change. Magazine price changes, often coming after real prices have fallen by one quarter, provide strong evidence for monopolistic sticky price models. The data is examined by applying a fixed effects logit specification to the price change rule implied by a target-threshold model of a firm facing general price inflation, an uncertain future and…

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Estimating Gross Flows Using Panel Data with Nonresponse: An Example from the Canadian Labour Force Survey

存在非应答时利用面板数据估计总流量:加拿大劳动力调查实例

This article considers the problem of using categorical data from a panel survey in which there is nonrandom nonresponse to estimate gross flows. The methods are illustrated for the case of estimating gross flows in labor force participation using data from the Canadian Labour Force Survey. Three models are proposed that allow nonresponse to be related to employment classification, time, or both employment classification and time. Maximum likelihood estimation is used to fit…

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Tests of Noncausality under Markov Assumptions for Qualitative Panel Data

马尔可夫假设下类别型面板数据的非因果性检验

For many years, social scientists have been interested in obtaining testable definitions of causality (Granger 1969, Sims 1972). Recent works include those of Chamberlain (1982) and Florens and Mouchart (1982). The present paper first clarifies the results of these latter papers by considering a unifying definition of noncausality. Then, log-likelihood ratio (LR) tests for noncausality are derived for qualitative panel data under the minimal assumption that one series is…

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Errors in variables in panel data

面板数据中的变量测量误差

Panel data based on various longitudinal surveys have become ubiquitous in economics in recent years. Estimation using the analysis of covariance approach allows for control of various "individual effects" by estimation of the relevant relationships from the "within" dimension of the data. Quite often, however, the "within" results are unsatisfactory, "too low" and insignificant. Errors of measurement in the independent variables whose relative importance gets magnified in…

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