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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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Over-Identification Tests in Earnings Functions With Fixed Effects

The goodness-of-fit statistic for fixed effects models is shown to simplify to the degrees of freedom times the R(superscript "2") from a regression of analysis of covariance residuals on right hand side variables. This result is applied to test models for union wage effects. Identification and estimation of the return to schooling in models with fixed effects is also discussed. Analysis of covariance estimates of the returns to schooling are precisely estimated and roughly…

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Identification and Estimation of Dichotomous Latent Variables Models Using Panel Data

利用面板数据识别和估计二元潜变量模型

Identification conditions for binary choice errors-in-variables models are explored. Conditions for the consistency and asymptotic normality of the maximum likelihood estimators of binary choice models with unbounded explanatory variables are given. Two- or three-step estimators to simplify computation are also suggested.

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The Relation Between Firm Growth and Q with Multiple Capital Goods: Theory and Evidence from Panel Data on Japanese Firms

多种资本品下企业增长与 Q 的关系:日本企业面板的理论与证据

The authors derive, from a model of investment with multiple capital goods, a one-to-one relation between the growth rate of the capital aggregate and the stock-market-based Q. The authors estimate the growth-Q relation using a panel of Japanese manufacturing firms taking into account the endogeneity of Q. For early years of their sample, cash flow has significant explanatory power over and above Q. The estimated Q coefficient implies that the adjustment cost is less than a…

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Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations

This paper presents specification tests that are applicable after estimating a dynamic model from panel data by the generalized method of moments (GMM), and studies the practical performance of these procedures using both generated and real data. Our GMM estimator optimally exploits all the linear moment restrictions that follow from the assumption of no serial correlation in the errors, in an equation which contains individual effects, lagged dependent variables and no…

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Estimation and Seasonal Adjustment of Population Means Using Data From Repeated Surveys

I consider estimation and seasonal adjustment of population means based on rotating panel surveys carried out at regular time intervals. The analysis uses a dynamic structural model that assumes a decomposition of the mean into a trend-level component and a seasonal component. The model accounts for the correlations between individual panel estimators and for possible rotation group effects. It can be applied to general rotation patterns using either the individual panel…

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Generalized Linear Models with Random Effects; a Gibbs Sampling Approach

含随机效应的广义线性模型:Gibbs 抽样方法

Generalized linear models have unified the approach to regression for a wide variety of discrete, continuous, and censored response variables that can be assumed to be independent across experimental units. In applications such as longitudinal studies, genetic studies of families, and survey sampling, observations may be obtained in clusters. Responses from the same cluster cannot be assumed to be independent. With linear models, correlation has been effectively modeled by…

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Identification and Panel Data Models with Endogenous Regressors

含内生解释变量的面板数据模型识别

This paper provides sufficient conditions for the identification of both static and dynamic models containing endogenous regressors from panel data by utilizing the restrictions across time periods on the parameters. It is shown that identification is achieved under quite weak conditions even in the presence of a general pattern of correlation between the errors and the time-varying variables. Efficient estimation procedures for the models considered and some specification…

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There Is No Aggregation Bias: Why Macro Logit Models Work

不存在聚合偏误:聚合 Logit 模型为何有效

In this article, we examine the aggregation properties of (nested) logit models to understand their exceptional macro-level performance. The problem of aggregating micro logit models involves integrating nonlinear functions of model parameters over a distribution of consumer heterogeneity. The aggregation problem is analyzed using a mixture of analytic and simulation techniques, with the simulation experiments using actual panel data to calibrate the distribution of…

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Selection of covariables in the growth curve model

增长曲线模型中的协变量选择

The growth curve model introduced by Potthoff & Roy (1964) is a generalization of the multivariate analysis of variance model and is often employed to analyze longitudinal data, in which a single characteristic has been measured at p different occasions on each individual. Inferential problems of this model are studied by using analysis of covariance, i.e. partitioning the p measurements into the measurements of q response variables and p-q covariables. Rao (1965, 1966) and…

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Estimation in generalized linear models with random effects

含随机效应的广义线性模型估计

A conceptually very simple but general algorithm for the estimation of the fixed effects, random effects, and components of dispersion in generalized linear models with random effects is proposed. Conditions are described under which the algorithm yields approximate maximum likelihood or quasi-maximum likelihood estimates of the fixed effects and dispersion components, and approximate empirical Bayes estimates of the random effects. The algorithm is applied to two data sets…

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Serial Correlation in Unequally Spaced Longitudinal Data

不等间隔纵向数据中的序列相关

Serial correlation in the within subject error structure in longitudinal data with unequally spaced observations is modelled using continuous time autoregressive moving averages. The models considered have both fixed and random effects in addition to serially correlated within subject errors. Two approaches are presented for calculating the exact likelihood for a model when the errors are Gaussian. The first calculates the covariance matrices for each subject for assumed…

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Estimation of time-dependent parameters in linear models using cross-sections, panels, or both

利用截面、面板或二者结合估计线性模型的时变参数

In this paper we consider the estimation of time-dependent parameters in linear models from panel data, cross-sections, or both. We determine the fraction of individuals that should be reinterviewed each period in order to minimize the variance of the most efficient estimator of linear combinations of the parameters. Moreover we derive simple sufficient conditions for the optimal fraction to be zero or one, respectively.

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The Relationship Between Wages and Income and the Timing and Spacing of Births: Evidence from Swedish Longitudinal Data

工资收入与生育时点及间隔:瑞典纵向数据证据

This paper considers the formulation, estimation, and evaluation of semiparametric multistates duration models with time-varying regressors and unobservables correlated over spells. The authors' models are applied to test a dynamic version of the neoclassical theory of fertility. Using Swedish data, they find that rising female wages over the lifecycle delay times to all conceptions, but barely affect childlessness. The authors estimate a model that predicts fertility…

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Regression Estimates in Federal Welfare Quality Control Programs

联邦福利质量控制项目中的回归估计

States that administer federal family welfare programs review samples of the beneficiaries to guide corrective actions. Federal agencies review subsamples of the state samples to compute overpayment error rates using a regression estimator. These federal estimates make state-to-state comparisons of quality possible and are also used for fiscal sanctions. Such applications of the regression estimator have been widely challenged. We show that the regression estimates and…

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A One-sided Studentized Range Test for lesting against a Simple Ordered Alternative

检验简单有序备择的单侧学生化极差检验

Consider the usual balanced one-way fixed effects analysis of variance (ANOVA) model X ij = μ i + ε ij (1 ≤ j ≤ n; 1 ≤ i ≤ k), where the ε ij are independent N(0, [sgrave]2) random variables and μ i is the mean of the ith treatment (1 ≤ i ≤ k). The μ i and [sgrave] 2 are unknown parameters. Let X i be the sample mean of the ith treatment based on n observations (1 ≤ i ≤ k), and let S 2 be an unbiased estimate of [sgrave]2, which is distributed independently of the X i as a…

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Regression Estimates in Federal Welfare Quality Control Programs

联邦福利质量控制项目中的回归估计

States that administer federal family welfare programs review samples of the beneficiaries to guide corrective actions. Federal agencies review subsamples of the state samples to compute overpayment error rates using a regression estimator. These federal estimates make state-to-state comparisons of quality possible and are also used for fiscal sanctions. Such applications of the regression estimator have been widely challenged. We show that the regression estimates and…

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The Empirical Content of the Roy Model

Roy 模型的经验内容

This paper explores the robustness of the essential economic conclusions of the Roy model of self-selection and income inequality to relaxation of its normality assumptions. A log concave version of the model reproduces most of the main results. Log convex cases offer counterexamples. The authors show that in a Roy economy, random assignment is inegalitarian and Pareto inefficient. They consider nonparametric identifiability of latent skill distributions with cross-section…

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On efficient estimation with panel data: An empirical comparison of instrumental variables estimators

面板数据的有效估计:工具变量估计量的经验比较

Abstract This paper attempts a replication of the Cornwell and Rupert (1988) study—hereafter CR. The CR study investigated the efficiency gains in a returns to schooling example by applying alternative sets of instrumental variables estimators for panel data regressions proposed by Hausman and Taylor (1981), Amemiya and MaCurdy (1986), and Breusch, Mizon, and Schmidt (1989). Corrections on the CR data set lead to changes in the legitimate set of instruments, when the time…

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Estimating a Market Equilibrium Search Model from Panel Data on Individuals

利用个体面板数据估计市场均衡搜索模型

In this paper, the feasibility of estimating a Nash labor market equilibrium model using only information on workers is demonstrated. The equilibrium model, adapted from Albrecht and Axell (1984), is based on workers who are homogenous in terms of market productivity and heterogeneous in terms of nonmarket productivity, and on firms that are heterogeneous in terms of productive efficiency. The equilibrium model is contrasted with an unrestricted version of the model in terms…

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The dynamics of job separation: The case of federal employees

工作离职的动态:联邦雇员案例

Abstract In this paper we develop a model of workers' quit decisions . Using panel data on a sample of US Federal government employees we use maximum‐likelihood techniques to determine how much of the observed decline in quits with job tenure is a result of declining individual quit propensities (‘state dependence’) rather than dynamic sample self‐selection (‘heterogeneity’). The latter is found to be much more important than the former. The effects of relative Federal…

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Separating Two Sources of Dependence in Repeated Influenza Outbreaks

重复流感暴发中两种依赖来源的分离

Two or more responses measured on a randomly selected individual can be dependent for two quite different reasons. In the first place they can be dependent within, that is conditional upon, each individual. Secondly, dependence is created simply from the heterogeneity between individuals. This paper addresses a rare instance of being able to measure separately the dependence from the two sources. The data comprise frequencies of the infection profiles for a sample of…

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Household Choices in Equilibrium

均衡中的家庭选择

This paper is an empirical investigation of equilibrium restrictions on household consumption and male labor supply. It exploits a simple factor structure, rationalized by two assumptions, that household allocations are Pareto optimal and that the labor market is competitive. The paper estimates household preferences, and tests how well this parsimonious factor structure represents panel data on married couples and time series data on asset returns. Most of the estimates are…

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