A study of DEA models without explicit inputs

In performance evaluations, data without explicit inputs (such as index data, pure output data) are widely used. To directly use such data, this paper presents a study on building DEA models without explicit inputs, so-called DEA-WEI models, which are applicable to the evaluation applications where inputs are not directly considered. We provide an axiom foundation of these kinds of models, and further discuss how to incorporate value judgments of decision makers into these DEA-WEI models. Several such models are derived. Finally, applications of the DEA-WEI models are presented.     

The Incompatibility of Materialism and the Desire for Children: Psychological Insights into the Fertility Discrepancy Among Modern Countries

We examined factors related to attitudes toward marriage and the importance of having children in both the US and Singapore. Path analysis indicated that life dissatisfaction leads to materialism, and both of these factors lead to favorable attitudes toward marriage, which leads to greater desire for children. Further analysis indicated this model was effective in explaining the difference in desire for children between Singaporeans and Americans, whereby Singaporeans have lower life satisfaction, higher materialism, and lower attitudes toward marriage and children. Materialistic standards of success were also related to the emphasis women placed on potential marriage partners’ earning capacity. As Singaporean women had higher materialistic standards, they also placed higher emphasis on potential mates’ earning capacity. Results suggest a consideration of psychological variables such as life satisfaction, materialism, and mate preferences may lead to a better understanding of larger-scale socioeconomic issues, including low fertility rates among developed East Asian countries.     

Summary of Ideological Dialectics——Althusser' s “Ideology and Ideology of the National Machine” Criticism

Ideology in Althusser shows total time,materiality,subjectivity and other gestures,but this is only one aspect.The other aspect of ideology,namely diachronicness,relations,objectivity,as well as their relationship,does not get due attention.     

Liberalisierungspolitik

Political-economic classics of different schools agreed that capitalism inherently and inevitably leads to a decline of market principles. We analyze indicators of liberalization policies for 21 OECD-countries in five economic and social policy fields and demonstrate that western industrialized countries are subject of a convergent trend towards market-creating policies??in stark contrast to the theoretical expectations of several political economy authors. At the latest during the first half of the eighties, the western democracies entered a new phase of economic liberalization, which continues up to the present. A methodological implication of our findings suggests that the methods of causal analysis of convergent liberalization policies may not be the same as those who have been applied for the analysis of development and consolidation of the varieties of capitalism in the postwar era.     

Assessing direct and indirect seasonal decomposition in state space

The problem of whether seasonal decomposition should be used prior to or after aggregation of time series is quite old. We tackle the problem by using a state-space representation and the variance/covariance structure of a simplified one-component model. The variances of the estimated components in a two-series system are compared for direct and indirect approaches and also to a multivariate method. The covariance structure between the two time series is important for the relative efficiency. Indirect estimation is always best when the series are independent, but when the series or the measurement errors are negatively correlated, direct estimation may be much better in the above sense. Some covariance structures indicate that direct estimation should be used while others indicate that an indirect approach is more efficient. Signal-to-noise ratios and relative variances are used for inference.     

A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood

We propose a new biclustering method for binary data matrices using the maximum penalized Bernoulli likelihood estimation. Our method applies a multi-layer model defined on the logits of the success probabilities, where each layer represents a simple bicluster structure and the combination of multiple layers is able to reveal complicated, multiple biclusters. The method allows for non-pure biclusters, and can simultaneously identify the 1-prevalent blocks and 0-prevalent blocks. A computationally efficient algorithm is developed and guidelines are provided for specifying the tuning parameters, including initial values of model parameters, the number of layers, and the penalty parameters. Missing-data imputation can be handled in the EM framework. The method is tested using synthetic and real datasets and shows good performance.     

A reply to W. Hicks's comments

W. Whitney Hicks's comments on my paper¹ can be reduced to four major points, all of which I dispute wholeheartedly:     

An algorithm to compute the cdf of the product of two normal random variables

This paper provides a fortran algorithm that can be used to compute the cdf of the product of two normal distribution random variables. We also give references that provide mathematical properties, tables, and applications of this distribution     

Cultural filtering in the hiring process and its relationship to welfare reform

In this paper, we perform an initial, exploratory analysis to determine whether firms use “cultural filters” as indirect and direct proxies for human capital when screening potential applicants for employment opportunities. Using data collected from three counties in Washington State, we find that these filters do, indeed, influence hiring decisions. As a result, it may be advantageous for policy makers to consider restructuring welfare policies to account for the effects of these cultural filters.     

Incorporating quality into data envelopment analysis of nursing home performance: A case study

When using data envelopment analysis (DEA) as a benchmarking technique for nursing homes, it is essential to include measures of the quality of care. We survey applications where quality has been incorporated into DEA models and consider the concerns that arise when the results show that quality measures have been effectively ignored. Three modeling techniques are identified that address these concerns. Each of these techniques requires some input from management as to the proper emphasis to be placed on the quality aspect of performance. We report the results of a case study in which we apply these techniques to a DEA model of nursing home performance. We examine in depth not only the resulting efficiency scores, but also the benchmark sets and the weights given to the input and output measures. We find that two of the techniques are effective in insuring that DEA results discriminate between high and low quality performance.