Perceived Equity in the Gendered Division of Household Labor

Despite huge imbalances in the division of housework between women and men, previous studies have found perceptions of equity on the part of women to be much more frequent than feelings of injustice. Taking a comparative perspective on the basis of International Social Survey Program (ISSP) 2002 data (N = 8,556), we find that, on the individual level, the explanatory frameworks that have been found to influence the actual inequality of household division of labor (time availability, resource dependence, and gender ideology) contribute to the explanation of perceptions of equity, in that they interact with the inequality of the household division of labor. On the country level, the gender‐wage ratio and the average level of inequality are important predictors.     

Simulated classical tests in multinomial probit models

This paper compares the application of different versions of the simulated counterparts of the Wald test, the score test, and the likelihood ratio test in one- and multiperiod multinomial probit models. Monte Carlo experiments show that the use of the simple form of the simulated likelihood ratio test delivers relatively robust results regarding the testing of several multinomial probit model specifications. In contrast, the inclusion of the Hessian matrix of the simulated loglikelihood function into the simulated score test and (in the multiperiod multinomial probit model) particularly the inclusion of the quasi-maximum likelihood theory into the simulated likelihood ratio test leads to substantial computational problems. The combined application of the quasi-maximum likelihood theory with the simulated Wald test or the simulated score test is not systematically superior to the application of the other versions of these two simulated classical tests either. Neither an increase in the number of observations nor in the number of random draws in the incorporated Geweke-Hajivassiliou-Keane simulator systematically lead to more precise conformities between the frequencies of type I errors and the basic significance levels. An increase in the number of observations only decreases the frequencies of type II errors, particularly regarding the simulated classical testing of multiperiod multinomial probit model specifications.     

建设回应型政府——和谐社会背景下政府改革的重要目标

政府回应性是当代政府改革普遍追求的重要目标，政府回应性与我国构建和谐社会的指导思想与总要求以及社会管理新格局等相互契合，突出政府回应性是构建和谐社会的内在要求，因此，和谐社会背景下的政府改革有必要将建设回应型政府作为目标之一。而我国的根本指导思想、有关法制安排和近几年政府改革的的实践，使得建设回应型政府具备一定的理论思想、法制和实践基础，现代电子技术、信息技术和互联网络的发展及其在公共管理中的应用——电子政务的发展，也为建设回应型政府提供了相应的物质技术条件，建设回应型政府不仅必要而且可行。     

“以支定收”还是“以收定支”:我国财政收支关系的实证研究

通过对我国财政收入与支出的时序变量建立协整与误差修正模型,实证研究我国的财政收支关系中到底是以支定收还是以收定支,确定这种收支之间的因果关系对采取财政政策的借鉴意义。研究将回答,我国财政收入是财政支出之间是单向格兰杰因还是双向格兰杰因,抑或互非因果关系,并在此基础上指出财政政策的作用方向,为真正建立符合的现代市场经济的财政观提供经验证据。     

Inference in the presence of ranking error in ranked set sampling

The author proposes inference techniques for ranked set sample data in the presence of judgment ranking errors. He bases his analysis on the models of Bohn & Wolfe (1994) and Frey (2007a, b), of which parameters are estimated by minimizing a distance measure. He then uses the fitted models to calibrate confidence intervals and tests. He shows the validity of his approach through simulation and illustrates its application through the construction of distribution‐free confidence intervals for the median area of apple tree leaves covered by a spray.     

Graphical Models for Composable Finite Markov Processes

Abstract.  Composable Markov processes were introduced by Schweder (1970) in order to capture the idea that a process can be composed of different components where some of these only depend on a subset of the other components. Here we propose a graphical representation of this kind of dependence which has been called 'local dependence'. It is shown that the graph allows to read off further independencies characterizing the underlying Markov process. Also, some standard methods for inference are adapted to exploit the graphical representation, e.g. for testing local independence.     

Some preservation results of NBUC aging property with applications

This paper develops a new characterization of NBUC aging property, and investigates its preservation properties both under monotonic anti-star-shaped transformations and under the non-homogeneous Poisson shock models.     

Semiparametric Bayesian classification with longitudinal markers

Summary.  We analyse data from a study involving 173 pregnant women. The data are observed values of the β human chorionic gonadotropin hormone measured during the first 80 days of gestational age, including from one up to six longitudinal responses for each woman. The main objective in this study is to predict normal versus abnormal pregnancy outcomes from data that are available at the early stages of pregnancy. We achieve the desired classification with a semiparametric hierarchical model. Specifically, we consider a Dirichlet process mixture prior for the distribution of the random effects in each group. The unknown random-effects distributions are allowed to vary across groups but are made dependent by using a design vector to select different features of a single underlying random probability measure. The resulting model is an extension of the dependent Dirichlet process model, with an additional probability model for group classification. The model is shown to perform better than an alternative model which is based on independent Dirichlet processes for the groups. Relevant posterior distributions are summarized by using Markov chain Monte Carlo methods.     

COVARIANCE MODELS FOR LATTICE DATA

Given observations on an m × n lattice, approximate maximum likelihood estimates are derived for a family of models including direct covariance, spatial moving average, conditional autoregressive and simultaneous autoregressive models. The approach involves expressing the (approximate) covariance matrix of the observed variables in terms of a linear combination of neighbour relationship matrices, raised to a power. The structure is such that the eigenvectors of the covariance matrix are independent of the parameters of interest. This result leads to a simple Fisher scoring type algorithm for estimating the parameters. The ideas are illustrated by fitting models to some remotely sensed data.