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1.
AbstractThe economic mobility of individuals and households is of fundamental interest. While many measures of economic mobility exist, reliance on transition matrices remains pervasive due to simplicity and ease of interpretation. However, estimation of transition matrices is complicated by the well-acknowledged problem of measurement error in self-reported and even administrative data. Existing methods of addressing measurement error are complex, rely on numerous strong assumptions, and often require data from more than two periods. In this article, we investigate what can be learned about economic mobility as measured via transition matrices while formally accounting for measurement error in a reasonably transparent manner. To do so, we develop a nonparametric partial identification approach to bound transition probabilities under various assumptions on the measurement error and mobility processes. This approach is applied to panel data from the United States to explore short-run mobility before and after the Great Recession. 相似文献
2.
In most mid- and high-income countries, there have been significant demographic, structural, and cultural changes in the past decades. However, we know little about how these changes have shaped women's work patterns during a key life stage: the transition to motherhood. Using longitudinal data from Chile, covering over 30 years of employment histories and three periods of first births (1980–2010), I conduct sequence analysis to identify women's work-care trajectories during an eight-year period of the transition to motherhood. Over time, I find that continuous care work at home has declined, for which education plays a key role, while the chances of working continuously have not changed over time. Instead, I find an increasing trend of unsteady paths that combine paid work with either caretaking or unemployment. I discuss how these changes, as well as their association with education, have important implications for both gender and social inequality. 相似文献
3.
Marco Bee 《Statistical Methods and Applications》2005,14(1):127-141
In this article we provide a rigorous treatment of one of the central statistical issues of credit risk management. GivenK-1 rating categories, the rating of a corporate bond over a certain horizon may either stay the same or change to one of the
remainingK-2 categories; in addition, it is usually the case that the rating of some bonds is withdrawn during the time interval considered
in the analysis. When estimating transition probabilities, we have thus to consider aK-th category, called withdrawal, which contains (partially) missing data. We show how maximum likelihood estimation can be
performed in this setup; whereas in discrete time our solution gives rigorous support to a solution often used in applications,
in continuous time the maximum likelihood estimator of the transition matrix computed by means of the EM algorithm represents
a significant improvement over existing methods. 相似文献
4.
Yvonne Sjöblom Ph.D. 《Child and Adolescent Social Work Journal》2006,23(4):432-457
This paper presents a case study of a young woman’s narrative of leaving home and her transition to adulthood. The case study is part of a larger research project about young women with an experience of an early break-up from home, through running away or being thrown out. Empirical material underlying this paper consists of a qualitative study of 12 young women that have been interviewed. The aim of the study is to understand how events like running away/being thrown out of home influences their transition to adulthood. The particular narrative demonstrates how a young woman presents and accounts for such a dramatic event as running away or being thrown out from home, and how that is understood in relation to her adulthood. A further aim is to illustrate how social services efforts are reflected in her narrative. 相似文献
5.
Statistical process monitoring (SPM) is a very efficient tool to maintain and to improve the quality of a product. In many industrial processes, end product has two or more attribute-type quality characteristics. Some of them are independent, but the observations are Markovian dependent. It is essential to develop a control chart for such situations. In this article, we develop an Independent Attributes Control Chart for Markov Dependent Processes based on error probabilities criterion under the assumption of one-step Markov dependency. Implementation of the chart is similar to that of Shewhart-type chart. Performance of the chart has been studied using probability of detecting shift criterion. A procedure to identify the attribute(s) responsible for out-of-control status of the process is given. 相似文献
6.
ABSTRACTThis paper presents a closed-form likelihood approximation for one type of affine point processes widely used in financial credit risk models. We proceed by first conjecturing the concrete series form of the transition density, verifying our postulation and then establishing the related coefficients by means of Kolmogorov equations. The asymptotic properties of the maximum-likelihood estimators (MLEs) are given in the end. 相似文献
7.
流动人口城市化进程中的制度性障碍研究 总被引:4,自引:0,他引:4
流动人口作为游离于城市与农村之间的一个特殊群体 ,由于存在户籍制度、教育制度、社会保障制度等一系列制度性障碍 ,使其难以融入城市。但在我国不断推进的城市化进程中 ,流动人口逐渐转变为城市人口是不可避免的趋势。政府对户籍等制度采取渐进式改革 ,强化社会管理职能以保障流动人口的合法权益 ,是一个当然选择。 相似文献
8.
李林红 《华北水利水电学院学报(社会科学版)》2005,21(4):24-26
稳健性财政政策的科学内涵是:控制赤字、调整结构、推进改革、增收节支。当前提高稳健性财政政策的有效性,在税收方面,推进税制改革,加强税收征管;在支出方面,调整支出方向,做到有保有控;在国债方面,应逐步减少需发国债资金和数额;在财政政策的功能方面,完善公共财政体制。 相似文献
9.
Copula-based regression models: A survey 总被引:1,自引:0,他引:1
In this review paper we collect several results about copula-based models, especially concerning regression models, by focusing on some insurance applications. 相似文献
10.
Zhai Yuanjian 《Transition Studies Review》2009,16(2):429-437
China’s previous contract laws had many contradictions and failed to meet the needs of China’s developing market economy.
Although some problems still need to be dealt with, the unified contract law is more advanced, systematic and plays an important
role in fostering and encouraging transactions.
相似文献
Zhai YuanjianEmail: |