Panel LM unit root tests with level and trend shifts

This paper considers a Lagrange multiplier (LM) based panel unit root test that allows for heterogeneous structural breaks in both the intercepts and slopes of a series. We note that many popular time series variables are likely to exhibit changing means and/or trends over time. Given that the usual tests will depend on the nuisance parameters indicating the locations of the trend breaks, we adopt a transformation procedure that makes our new panel unit root tests invariant to the nuisance parameters. To illustrate the importance of the power gain provided by our test, we examine the convergence hypothesis using relative ratios of per capita health care expenditures in 20 OECD countries. Our results provide evidence that the convergence hypothesis is supported.     

Consumption and stock markets in Asian economies

This paper investigates the causal links between stock market performance and consumption for five Asian economies by applying the bound tests of Pesaran et al. and lag augmented VAR of Toda and Yamamoto . We find two‐way causal relationships between stock market performance and consumption in the cases of Hong Kong and Taiwan in the long run. The existence of such two‐way causal links indicates that stock market performance and consumption mutually affect each other, implying that the previous studies may have overestimated the wealth effect of the stock markets without taking account of the reverse causation from consumption to the stock markets. The short‐run effect of the stock market on consumption is more visible than the long‐run effect in most of the sample economies, suggesting that changes in consumption directly reflect stock market fluctuations.     

Hypothesis tests using data envelopment analysis

A substantial body of recent work has opened the way to exploring the statistical properties of DEA estimators of production frontiers and related efficiency measures. The purpose of this paper is to survey several possibilities that have been pursued, and to present them in a unified framework. These include the development of statistics to test hypotheses about the characteristics of the production frontier, such as returns to scale, input substitutability, and model specification, and also about variation in efficiencies relative to the production frontier.     

The Nested PIGLOG Model: An Application to U.S. Food Demand

A new demand system is introduced, the Nested PIGLOG model, nesting thirteen other demand systems including five that are also new. This new model and its nested special cases are applied to models of U.S. food demand that include food-at-home (FAH), food-away-from-home (FAFH), and alcoholic beverages. Although nested tests and out-of-sample forecasting performance favor generalizing models to a certain degree, statistically insignificant improvements to in-sample-fit and even poorer out-of-sample forecast accuracy undermine further generalizations. Based on a subset of preferred models, FAFH is found to be price and income elastic compared to FAH which is price and income inelastic.     

Progressive stress accelerated life tests under finite mixture models

In this paper, progressive stress accelerated life tests are considered when the lifetime of a product under use condition follows a finite mixture of distributions. The experiment is performed when each of the components in the mixture follows a general class of distributions which includes, among others, the Weibull, compound Weibull, power function, Gompertz and compound Gompertz distributions. It is assumed that the scale parameter of each component satisfies the inverse power low, the progressive stress is directly proportional to time and the cumulative exposure model for the effect of changing stress holds. Based on type-I censoring, the maximum likelihood estimates (MLEs) of the parameters under consideration are obtained. A special attention is paid to a mixture of two Rayleigh components. Simulation results are carried out to study the precision of the MLEs and to obtain confidence intervals for the parameters involved.     

人格测验在人事测评中的应用

文章强调了人格测验在人事测评中的必要性,在此基础上介绍了四种经典人格测验和三种管理情境中的人格测验,分析了人格测验在预测个体未来工作表现、工作风格以及实现人岗匹配方面所发挥的作用。     

货币政策的粘性均衡汇率效应模型及人民币汇率定价的弹性分析

本文以开放的宏观经济为框架、以厂商利润最大化为微观经济基础、以严格的数学推导为逻辑纽带、以粘性价格为理论依据、以购买力平价的微分冲击形式为理论基础，提出并构建了两国货币政策的粘性均衡汇率效应模型。应用模型，本文对1992～2002年的人民币粘性均衡汇率进行了定价，并对2003年的定价进行了预测。以定价汇率及其预测为标准，对1992～2003年的人民币汇率偏离与经常性项目的关系，进行了弹性分析。根据模型与实证分析，获得了一些重要结论。     

Nonlinear IV unit root tests in panels with cross-sectional dependency

We propose a unit root test for panels with cross-sectional dependency. We allow general dependency structure among the innovations that generate data for each of the cross-sectional units. Each unit may have different sample size, and therefore unbalanced panels are also permitted in our framework. Yet, the test is asymptotically normal, and does not require any tabulation of the critical values. Our test is based on nonlinear IV estimation of the usual augmented Dickey–Fuller type regression for each cross-sectional unit, using as instruments nonlinear transformations of the lagged levels. The actual test statistic is simply defined as a standardized sum of individual IV t-ratios. We show in the paper that such a standardized sum of individual IV t-ratios has limit normal distribution as long as the panels have large individual time series observations and are asymptotically balanced in a very weak sense. We may have the number of cross-sectional units arbitrarily small or large. In particular, the usual sequential asymptotics, upon which most of the available asymptotic theories for panel unit root models heavily rely, are not required. Finite sample performance of our test is examined via a set of simulations, and compared with those of other commonly used panel unit root tests. Our test generally performs better than the existing tests in terms of both finite sample sizes and powers. We apply our nonlinear IV method to test for the purchasing power parity hypothesis in panels.     

中国的最优化动态IS-LM模型构建与应用

传统的IS-LM模型由于存在许多缺陷一直以来都备受批评。理性预期革命之后出现的基于跨期动态最优化的IS-LM模型却能够很好地克服传统的缺陷,逐渐受到当代宏观经济学家的青睐。本文尝试在最优化IS-LM基本模型的基础上,引入对定期存款的配置行为,加入政府和国外部门,将模型拓展为四部门三资产模型,然后利用中国数据采用理性预期的方法对参数进行估计,并解释了方程系数的含义。最后对于模型如何实现动态化用以描述经济的演化作了一些探讨。