Bias in Conditional and Unconditional Fixed Effects Logit Estimation

Fixed-effects logit models can be useful in panel data analysis,when N units have been observed for T time periods. There aretwo main estimators for such models: unconditional maximum likelihoodand conditional maximum likelihood. Judged on asymptotic properties,the conditional estimator is superior. However, the unconditionalestimator holds several practical advantages, and thereforeI sought to determine whether its use could be justified onthe basis of finite-sample properties. In a series of MonteCarlo experiments for T < 20, I found a negligible amountof bias in both estimators when T 16, suggesting that a researchercan safely use either estimator under such conditions. WhenT < 16, the conditional estimator continued to have a verysmall amount of bias, but the unconditional estimator developedmore bias as T decreased.     

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: A Correction

In a recent paper published in this journal, Katz (2001) comparesthe bias in conditional and unconditional fixed effects logitestimation using Monte Carlo Simulation. This note shows thatwhile Katz's (2001) specification has "wrong" fixed effects(in the sense that the fixed effects are the same for all individuals),his conclusions still hold if I correct his specification (sothat the fixed effects do differ over individuals). This notealso illustrates the danger, when using logit, of includingdummies when no fixed effects are present.     

Estimation of Models with Beta-Distributed Dependent Variables: A Replication and Extension of Paolino's Study

This note replicates and extends Paolino's discussion (2001,Political Analysis 9:325–346) on the estimation of modelswith beta-distributed dependent variables in two ways. First,it introduces an easy-to-use program for estimating the modelusing Stata. Second, it presents a Bayesian estimator for betavariables based on Paolino's model. Results are compared tothose in the original article.     

我国产业结构升级模式变迁的效应与前瞻分析

新中国建立以来,我国依次经历了倾斜拉动式、平衡驱动式和协调跨越式产业结构升级模式。在不断变迁的产业结构升级模式推动下,我国实现了产业结构的升级、国民经济的快速健康发展、工业化水平的稳步提高。目前,我国要转变经济发展方式,实现国民经济又好又快发展,这一新的发展目标赋予协调跨越式产业结构升级模式以新的内涵。我国将实施可持续发展战略、科教兴国战略、区域协调发展战略和城镇化战略推动产业结构实现协调跨越式升级。     

要始终抓住"最紧要的"--谈转变机关作风

要履行“实现好、维护好、发展好”最广大人民的根本利益的职责 ,始终抓住这一“最紧要的”主题 ,就必须转变机关作风 ,密切联系群众。机关工作作风 ,关系到党的形象 ,关系到政府形象 ,关系到人心向背 ,关系到改革开放和社会主义现代化建设事业的成败。可以说 ,抓住作风建设 ,就抓住了提高领导水平和执政水平、提高拒腐防变和抵御风险能力的一个十分重要的切入点