Using A Model Aided Sampling Paradigm Instead Of A Traditional Sampling Paradigm In A Nationally Representative Establishment Survey

We compare traditional survey inference, which is based on probability sample selection and weighting, with a model-based approach based on sampling quotas and model-based weighting. Compared with the traditional approach, the model-based approach more efficiently controls subgroup sample sizes when a large number of rare subgroups are studied. Using data from a national survey of US businesses, we simulated a model-based paradigm and compared estimates with those under the traditional paradigm. In this study, the findings suggest that the model-based approach offers advantages over the traditional sampling approach; however, a hybrid approach capturing the advantages of both paradigms proved best.

At the same time, public and private trust in traditional pension offerings is rapidly eroding, as companies alter, amend, and terminate their conventional plans in the face of poor investment performance and new methods of pension accounting. Experts from the UK, the US, Japan, Sweden, and Canada offer international perspectives on the evolving institutions of retirement practice. This book provides readers a range of insights and strategies not available in other volumes, and it represents an invaluable addition to the PRC/OUP series. It will be particularly valuable for managers working toward more efficient pension plans; to scholars and policymakers seeking to maximize pension design and effectiveness; and to actuaries and tax specialists concerned with pension regulation. The Pension Research Council at the Wharton School of the University of Pennsylvania was founded 50 years ago to encourage research and teaching on pensions and retirement security.

This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and data analysis and includes exercises and solutions.

Family remains the most powerful social idiom and one of the most powerful social structures throughout the Arab world. To engender love of nation among its citizens, national movements portray the nation as a family. To motivate loyalty, political leaders frame themselves as fathers, mothers, brothers, or sisters to their clients, parties, or the citizenry. To stimulate production, economic actors evoke the sense of duty and mutual commitment of family obligation. To sanctify their edicts, clerics wrap religion in the moralities of family and family in the moralities of religion. Social and political movements, from the most secular to the most religious, pull on the tender strings of family love to recruit and bind their members to each other. To call someone family is to offer them almost the highest possible intimacy, loyalty, rights, reciprocities, and dignity. In recognizing the significance of the concept of family, this state-of-the-art literature review captures the major theories, methods, and case studies carried out on Arab families over the past century. The book offers a country-by-country critical assessment of the available scholarship on Arab families. Sixteen chapters focus on specific countries or groups of countries; seven chapters offer examinations of the literature on key topical issues. Joseph’s volume provides an indispensable resource to researchers and students, and advances Arab family studies as a critical independent field of scholarship.

Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place.