明代宋史著述关于《宋史》史料之增补与纠谬

元修《宋史》的粗陋屡遗后人斥责，改撰重修者接连不断，其中以明人成绩最为显著。由于元修《宋史》利用了大量的《国史》和《实录》等第一手史料，使得该书在史料价值方面占有绝时优势。明代宋史学者对此有着清楚地认识，因而并未抛弃《宋史》史料，而是本着求实存真、广征博采的原则，对《宋史》史料扩充补遗、考辨纠谬，尤其在人物传记和南渡诸事上增添了丰富的内容，使得宋史记载更趋真实、完备，亦为后人的进一步辨析准备了条件。     

The influence of peers and parents on youth life satisfaction in Hong Kong

This investigation attempts to measure the relative influence of peer and parental influence on the perceived life satisfaction of two groups of secondary students in Hong Kong. Data on 1906 students from 30 schools were collected through the use of a self-administered questionnaire. Respondents were asked to rate their level of satisfaction on 26 different domains of life on a seven-point scale, ranging from very satisfied to very dissatisfied, as well as their satisfaction with life in general. These 26 items were combined to form six summary indices of life satisfaction: school life, family life, acceptance by others, government, media, and living environment. Two independent variables were used in the analysis of life satisfaction: peer orientation, and parent orientation. Both are composite indices and measure the adolescent's attachment to and identification with his peers or parents. It was found that parent orientation is a better predictor of life satisfaction than peer orientation. Adolescents who are high on parent orientation are more satisfied with every domain of life. They are also more satisfied with life in general. The relationship between peer orientation and life satisfaction is not a clear-cut one. Adolescents with strong peer orientation are more satisfied with school, media, government, and acceptance by others, but are less satisfied with family. There is no significant relationship between peer orientation and environment. The younger adolescents in our sample tend to perceive a higher level of satisfaction than the older adolescents in every domain of life as well as life in general.     

The Effect of Pseudo-Exogenous Instrumental Variables on Hausman Test

Hausman test is popularly used to examine the endogeneity of explanatory variables in a regression model. To derive a well-defined asymptotic distribution of Hausman test, the correlation between the instrumental variables and the error term needs to converge to zero. However, it is possible that there remains considerable correlation in finite samples between the instruments and the error, even though their correlation eventually converges to zero. This article investigates the potential problem that such “pseudo-exogenous” instruments may create. We show that the performance of Hausman test is deteriorated when the instruments are asymptotically exogenous but endogenous in finite samples, through Monte Carlo simulations.     

Financial-Firm Production of Monetary Services: A Generalized Symmetric Baroett Variable-Profit-Function Approach

An alternative monetary-production model of financial firms is employed to investigate supply-side monetary aggregation. Financial firms are conceived to produce monetary services as outputs through financial intermediation. A new method for testing the existence of consistent monetary-output aggregates in financial firms' production technology is developed in terms of a multiproduct firm's variable profit function, and the method does not require homotheticity of the aggregator function. We use a generalized symmetric Barnett flexible functional form. That specification satisfies global curvature conditions and retains its flexibility under the null hypothesis of weak separability. Neither of those properties is possessed by other flexible functional forms.     

Influence in covariance structure analysis: with an application to confirmatory factor analysis

Influence functions are derived for the parameters in covariance structure analysis, where the parameters are estimated by minimizing a discrepancy function between the assumed covariance matrix and the sample covariance matrix. The case of confirmatory factor analysis is studied precisely with a numerical example. Comparing with a general procedure called one-step estimation, the proposed procedure has two advantages:1) computing cost is cheaper, 2) the property that arbitrary influence can be decomposed into a fi-nite number of components discussed by Tanaka and Castano-Tostado(1990) can be used for efficient computing and the characterization of a covariance structure model from the sensitivity perspective. A numerical comparison is made among the confirmatory factor analysis and some procedures of ex-ploratory factor analysis by using the decomposition mentioned above.     

Noninformative priors for the common mean in the bivariate normal distribution

In this paper, we consider some noninformative priors for the common mean in a bivariate normal population. We develop the first-order and second-order matching priors and reference priors. We find that the second-order matching prior is also an HPD matching prior, and matches the alternative coverage probabilities up to the second order. It turns out that derived reference priors do not satisfy a second-order matching criterion. Our simulation study indicates that the second-order matching prior performs better than the reference priors in terms of matching the target coverage probabilities in a frequentist sense. We also illustrate our results using real data.     

Did State Children’s Health Insurance Program Affect Married Women’s Labor Supply?

While the relationships between health insurance and the labor supply of women have been explored in the literature, little is known about the effects of offering public health insurance on the labor supply decisions of married women. This paper examines how the enactment of the State Children’s Health Insurance Program (SCHIP) affected the labor supply decisions of married women. Our empirical analysis showed that certain groups of married women reduced their number of hours worked upon SCHIP implementation. The results imply it is possible that some wives decreased their labor supply in order to make their children eligible for public health insurance.

Noninformative priors for the between-group variance in the unbalanced one-way random effects model with heterogeneous error variances

For the unbalanced one-way random effects model with heterogeneous error variances, we propose the non-informative priors for the between-group variance and develop the first- and second-order matching priors. It turns out that the second-order matching priors do not exist and the reference prior and Jeffreys prior do not satisfy a first-order matching criterion. We also show that the first-order matching prior meets the frequentist target coverage probabilities much better than the Jeffreys prior and reference prior through simulation study, and the Bayesian credible intervals based on the matching prior and reference prior give shorter intervals than the existing confidence intervals by examples.     

On Bartlett correction of empirical likelihood for regularly spaced spatial data

Bartlett correction constitutes one of the attractive features of empirical likelihood because it enables the construction of confidence regions for parameters with improved coverage probabilities. We study the Bartlett correction of spatial frequency domain empirical likelihood (SFDEL) based on general spectral estimating functions for regularly spaced spatial data. This general formulation can be applied to testing and estimation problems in spatial analysis, for example testing covariance isotropy, testing covariance separability as well as estimating the parameters of spatial covariance models. We show that the SFDEL is Bartlett correctable. In particular, the improvement in coverage accuracies of the Bartlett‐corrected confidence regions depends on the underlying spatial structures. The Canadian Journal of Statistics 47: 455–472; 2019 © 2019 Statistical Society of Canada