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日期精度:到日 2408 篇 · 到月 3860 篇 · 到年 470 篇 · 未提供 22 篇
Two-step estimation of semiparametric censored regression models
The Rising College Premium in the Eighties: Return to College or Return to Unobserved Ability?
八十年代大学溢价上升:大学教育回报还是不可观测能力回报?
The changes in the distribution of earnings during the 1980s have been studied extensively. The two most striking characteristics of the decade are (a) a large increase in the college/high school wage gap, and (b) a substantial rise in the variance of wage residuals. While this second phenomenon is typically implicitly attributed to an increase in the demand for unobserved skill, most work in this area fails to acknowledge that this same increase in demand for unobserved…
Estimation of Dynamic Panel Data Sample Selection Models
动态面板样本选择模型的估计
This paper considers the problem of identification and estimation in panel data sample selection models with a binary selection rule, when the latent equations contain strictly exogenous variables, lags of the dependent variables, and unobserved individual effects. We derive a set of conditional moment restrictions which are then exploited to construct two-step GMM-type estimators for the parameters of the main equation. In the first step, the unknown parameters of the…
Interpreting Instrumental Variables Estimates of the Returns to Schooling
如何解释教育回报的工具变量估计
This article synthesizes economic insights from theoretical models of schooling choice based on individual benefits and econometric work interpreting instrumental variables estimates as weighted averages of individual-specific causal effects. Linkages are illustrated using college proximity to instrument for schooling. After characterizing groups differentially affected by the instrument according to family background, 1 directly compute weights underlying estimation of the…
Bayesian Analysis on Engel Curves Estimation With Measurement Errors and an Instrumental Variable
含测量误差与工具变量的恩格尔曲线估计:贝叶斯分析
In this article, we consider the Bayesian estimation of Engel curves specified as the Working–Leser form with the measurement errors on both the left and the right sides. It is noteworthy that in the Bayesian approach no additional variation data (i.e., instrumental variables) are required in contrast with the non-Bayesian approach. We present the Bayesian estimation procedure in both models without an instrumental variable and with an instrumental variable. We also compare…
Bias correction for score tests arising from misspecified proportional hazards regression models
误设比例风险回归模型所产生得分检验的偏差校正
When censoring depends on both treatment group and covariates, tests for a randomised treatment effect arising from Cox's proportional hazards model are not in general centred at zero under the null and can be seriously distorted. We propose a corrected test that modifies the at‐risk indicator in a way that corrects for this bias. The resulting test is asymptotically valid regardless of whether or not the fitted model is correctly specified. Implementation of the corrected…
Estimation of AR(1) models with unequally spaced pseudo‐panels
不等间隔伪面板中AR(1)模型的估计
Surveys in developing countries are often taken at unequally spaced intervals. This paper provides for the estimation of dynamic pseudo-panel models with such data. Non-linear least squares, minimum distance, and one-step estimators are used to impose the non-linear parameter restrictions which occur in dynamic models over unequally spaced periods. Consistency and asymptotic normality of the estimators is established. A small-scale Monte Carlo simulation study corroborates…
A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data
半连续纵向数据的两部分随机效应模型
A semicontinuous variable has a portion of responses equal to a single value (typically 0) and a continuous, often skewed, distribution among the remaining values. In cross-sectional analyses, variables of this type may be described by a pair of regression models; for example, a logistic model for the probability of nonzero response and a conditional linear model for the mean response given that it is nonzero. We extend this two-part regression approach to longitudinal…
Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments
用边际结构模型估计非随机处理的联合因果效应
Even in the absence of unmeasured confounding factors or model misspecification, standard methods for estimating the causal effect of time-varying treatments on survival are biased when (a) there exists a time-dependent risk factor for survival that also predicts subsequent treatment, and (b) past treatment history predicts subsequent risk factor level. In contrast, methods based on marginal structural models (MSMs) can provide consistent estimates of causal effects when…
SEMIPARAMETRIC ESTIMATION OF A PARTIALLY LINEAR CENSORED REGRESSION MODEL
部分线性删失回归模型的半参数估计
In this paper we propose an estimation procedure for a censored regression model where the latent regression function has a partially linear form. Based on a conditional quantile restriction, we estimate the model by a two stage procedure. The first stage nonparametrically estimates the conditional quantile function at in-sample and appropriate out-of-sample points, and the second stage involves a simple weighted least squares procedure. The proposed procedure is shown to…
Intertemporal Variation in Financial Constraints on Investment
投资融资约束的跨期变化
This article is concerned with understanding how financial constraints on investment vary over the business cycle and whether these constraints are related to macroeconomic policies. These issues are investigated within the framework of a time-varying parameter model using U.S. company panel data from 1971 to 1993. A preliminary investigation of parameter stability in investment equations using cross-sectional estimation techniques indicates a pattern of parameter variation…
Testing for Choice Dynamics in Panel Data
面板数据中选择动态的检验
This article applies different approaches to distinguish state dependence from unobserved heterogeneity and serial correlation and, hence, test for state dependence in consumer brand choices. First, we apply a simple method proposed by Chamberlain, which involves lagged exogenous variables only. Second, we also estimate a lagged-dependent-variable specification proposed by Wooldridge. Third, we use the estimation approach suggested by Wooldridge to estimate a model with both…
Estimation With Response Error and Nonresponse
存在回答误差与未应答时的估计
Error in survey data originates from failure to contact the sample and from false answers to verifiable questions. These errors may be systematic and associated with uncooperative or unreliable respondents. Zabel modeled attrition in the Survey of Income and Program Participation and found systematic demographic and design effects. Bollinger and David modeled response error and identified correlations to income per capita. In this analysis, we link missing interviews in a…
Stability in the Absence of Treatment
无处理状态下的稳定性
When subjects are measured twice, once at each of two symmetrical locations or times, stability of responses in the absence of treatment within subjects, together with comparability of untreated responses between subjects, is often viewed as supporting a conclusion that differences between treated and control responses reflect effects actually caused by the treatment. The degree to which this intuitive argument is formally correct is explored in several related models: a…
Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
纵向数据的半参数与非参数回归分析
This article deals with the regression analysis of repeated measurements taken at irregular and possibly subject-specific time points. The proposed semiparametric and nonparametric models postulate that the marginal distribution for the repeatedly measured response variable Y at time t is related to the vector of possibly time-varying covariates X through the equations E{Y(t)|| X(t} = α0(t) + β′0X(t) and E{Y(t)||X(t)} = α0(t)+ β′0(t)X(t), where α0(t) is an arbitrary function…
The effect of physician advice on alcohol consumption: count regression with an endogenous treatment effect
医生建议对饮酒量的影响:具有内生处理效应的计数回归
Abstract Although there are encouraging trends, alcohol abuse continues to be a significant public health problem. Econometric studies of alcohol demand have yielded a great deal of information for alcohol abuse prevention policy. These studies suggest that higher alcohol taxes and stricter drunk‐driving policies can reduce heavy drinking and drunk driving. In this paper we explore the role physician advice plays in the campaign to prevent alcohol‐related problems. Compared…
Effects attributable to treatment: Inference in experiments and observational studies with a discrete pivot
治疗可归因效应:离散枢轴下的实验与观察研究推断
In randomisation and permutation inference, pivotal arguments remove the hypothesised treatment effect, thereby basing inferences on the null distribution in which the treatment has no effect. This is common, for instance, with additive treatment effects. The current paper uses ‘attributable eects» to expand substantially the scope of pivotal arguments. Attributable effects are defined for three cases, namely the 2 × 2 contingency table, displacement eects and the…
On Repeated Measures Analysis with Misspecified Covariance Structure
协方差结构误设下的重复测量分析
Summary In recent years various sophisticated methods have been developed for the analysis of repeated measures, or longitudinal data. The more traditional approach, based on a normal likelihood function, has been shown to be unsatisfactory, in the sense of yielding asymptotically biased estimates when the covariance structure is misspecified. More recent methodology, based on generalized linear models and quasi-likelihood estimation, has gained widespread acceptance as…
Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design
回归不连续设计下处理效应的识别与估计
Ž. THE REGRESSION DISCONTINUITY RD data design is a quasi-experimental design with the defining characteristic that the probability of receiving treatment changes discontinuously as a function of one or more underlying variables. This data design arises frequently in economic and other applications but is only infrequently exploited as a source of identifying information in evaluating effects of a treatment. In the first application and discussion of the RD method,…
Estimation of Limited Dependent Variable Models With Dummy Endogenous Regressors
含内生虚拟解释变量的有限因变量模型估计
Applied economists have long struggled with the question of how to accommodate binary endogenous regressors in models with binary and nonnegative outcomes. I argue here that much of the difculty with limited dependent variables comes from a focus on structural parameters, such as index coefcients, instead of causal effects. Once the object of estimation is taken to be the causal effect of treatment, several simple strategies are available. These include conventional…
Quasi‐fixed inputs and long‐run equilibrium in production: a cointegration analysis
生产中的准固定投入与长期均衡:协整分析
Abstract This paper proposes a cointegration approach to testing the validity long‐run equilibrium in production, where capital and labour are taken as quasi‐fixed inputs. Previous studies consider only capital as the quasi‐fixed input and do not take account of the time series properties of the variables, assuming implicitly that they are stationary. The canonical cointegrating regressions (CCR) procedure is employed to test for cointegration in both the single‐equation and…
An empirical comparison of flexible demand system functional forms
灵活需求系统函数形式的实证比较
Abstract This paper compares the performance of eight frequently used flexible forms that are either (1) locally flexible, (2) ‘effectively globally regular’, or (3) asymptotically globally flexible. Results show that the functions with global properties generally perform better, particularly those models having asymptotic properties. Results, using US consumption data, indicate substitutability among the components of consumption at most data points. There is also some…
Improving generalised estimating equations using quadratic inference functions
利用二次推断函数改进广义估计方程
Generalised estimating equations enable one to estimate regression parameters consistently in longitudinal data analysis even when the correlation structure is misspecified. However, under such misspecification, the estimator of the regression parameter can be inefficient. In this paper we introduce a method of quadratic inference functions that does not involve direct estimation of the correlation parameter, and that remains optimal even if the working correlation structure…