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Since China's reform and opening up, the country's rapid marketization process has been accompanied by the rapid growth of inequality, which has been significant for all classes of society. In terms of its impact, housing inequality is particularly noticeable. In this paper, we discuss the influence of real-estate purchase time, organization, human capital, and political capital on the value of real estate and the appreciation of real estate in China by using a conditional mean model and a quantile regression model. The differences in the degree of influence of these factors on different quantile levels are also investigated. We found that, after adding the time factor, the prior possession of resources in the early stage of market transformation will benefit the long-term marketization process. Organizations that can penetrate "market-redistribution" and professions that directly participate in the distribution of real-estate resources also have significant advantages in this regard.

"This cutting-edge Handbook takes stock of a diverse set of theoretical and methodological perspectives that address creativity, innovation, and the ways in which they intersect. Considering the development of the field, the Handbook examines current trends to chart a path forward for promising future research. Leading international contributors showcase some of the most advanced and interesting work in the creativity and innovation field, providing a platform for idea exchange and cross-fertilization. Reviewing the foundations for conducting rigorous creativity research, chapters elaborate on theoretical models that explain both individual and team creativity and innovation, and discuss the relationship between creativity and standardization. The Handbook also analyzes the role of social influences in the processes of creativity and innovation, as well as how to make sense of and study creativity and innovation. In doing so, the Handbook highlights both quantitative and qualitative research methods for conducting creativity-innovation research. Presenting an expert analysis of research on creativity and innovation, this Handbook will be a vital reference point for scholars and students in these fields, in addition to the areas of organizational innovation and organizational behavior. It will also be useful for practicing managers interested in understanding creativity and innovation"--

El Qipao, como vestido chino tradicional, no sólo tiene los distintivos caracteres nacionales, sino también posee la riqueza artística, lo que lo convierte en un modelo de la estética del traje chino.

Hypothesis testing is challenging due to the test statistic's complicated asymptotic distribution when it is based on a regularized estimator in high dimensions. We propose a robust testing framework for ‐regularized M‐estimators to cope with non‐Gaussian distributed regression errors, using the robust approximate message passing algorithm. The proposed framework enjoys an automatically built‐in bias correction and is applicable with general convex nondifferentiable loss functions which also allows inference when the focus is a conditional quantile instead of the mean of the response. The estimator compares numerically well with the debiased and desparsified approaches while using the least squares loss function. The use of the Huber loss function demonstrates that the proposed construction provides stable confidence intervals under different regression error distributions.