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Author: Martha S. Hill
Publisher: SAGE Publications, Incorporated
ISBN: 9780803942301
Category : Social Science
Languages : en
Pages : 104
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Book Description
Income, employment, family composition, health and retirement - are all topics on which the Panel Study of Income Dynamics (PSID) has annually gathered information from more than 4,800 US households. Hill sets out to make this wealth of data more accessible to researchers by reviewing key analysis issues and identifying key variables for the user. Several detailed analysis examples show how to make use of the PSID to estimate earnings regressions, changes in women's income following divorce and the correlation between parents' income and a child's adult income, as well as to create a longitudinal poverty measure.
Author: Martha S. Hill
Publisher: SAGE Publications, Incorporated
ISBN: 9780803942301
Category : Social Science
Languages : en
Pages : 104
Get Book Here
Book Description
Income, employment, family composition, health and retirement - are all topics on which the Panel Study of Income Dynamics (PSID) has annually gathered information from more than 4,800 US households. Hill sets out to make this wealth of data more accessible to researchers by reviewing key analysis issues and identifying key variables for the user. Several detailed analysis examples show how to make use of the PSID to estimate earnings regressions, changes in women's income following divorce and the correlation between parents' income and a child's adult income, as well as to create a longitudinal poverty measure.
Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Author:
Publisher:
ISBN:
Category : Household surveys
Languages : en
Pages : 226
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Book Description
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 030946417X
Category : Social Science
Languages : en
Pages : 219
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Book Description
The Survey of Income and Program Participation (SIPP) is a national, longitudinal household survey conducted by the Census Bureau. SIPP serves as a tool to evaluate the effectiveness of government-sponsored social programs and to analyze the impacts of actual or proposed modifications to those programs. SIPP was designed to fill a need for data that would give policy makers and researchers a much better grasp of how effectively government programs were reaching their target populations, how participation in different programs overlapped, and to what extent and under what circumstances people transitioned into and out of these programs. SIPP was also designed to answer questions about the short-term dynamics of employment, living arrangements, and economic well-being. The Census Bureau has reengineered SIPPâ€"fielding the initial redesigned survey in 2014. This report evaluates the new design compared with the old design. It compares key estimates across the two designs, evaluates the content of the redesigned SIPP and the impact of the new design on respondent burden, and considers content changes for future improvement of SIPP.
Author: T. Paul Schultz
Publisher:
ISBN:
Category : Income
Languages : en
Pages : 150
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Book Description
Author: United States. Congress. Economic Joint Committee
Publisher:
ISBN:
Category :
Languages : en
Pages : 148
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Book Description
Author: University of Michigan. Survey Research Center
Publisher:
ISBN:
Category : Income
Languages : en
Pages : 400
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Book Description
Author: National Bureau of Economic Research
Publisher:
ISBN: 9780691626444
Category : Income
Languages : en
Pages : 0
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Book Description
This volume, from the 1956 Conference, deals with the nature, reliability, and the uses of the income data included in the 1950 census. It contrasts this data with income information from other sources--field surveys, and administrative records of government regulatory, fiscal, and social security agencies. Another group of papers deals with substantive findings based on income data. Of three papers of a more general nature, one surveys the frontiers of size distribution research, another builds a bridge between the census data and other income data, and a third provides an historical review of income questions in census surveys. Originally published in 1958. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Author: Herman Phillip Miller
Publisher:
ISBN:
Category : Income
Languages : en
Pages : 234
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Book Description
This study, originally published as a 1950 Census monograph, served as the basis for the 1960 Census monograph: Income distribution in the United States, C 3.30:In2.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309170389
Category : Social Science
Languages : en
Pages : 537
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Book Description
This volume, a companion to Evaluating Welfare Reform in an Era of Transition, is a collection of papers on data collection issues for welfare and low-income populations. The papers on survey issues cover methods for designing surveys taking into account nonresponse in advance, obtaining high response rates in telephone surveys, obtaining high response rates in in-person surveys, the effects of incentive payments, methods for adjusting for missing data in surveys of low-income populations, and measurement error issues in surveys, with a special focus on recall error. The papers on administrative data cover the issues of matching and cleaning, access and confidentiality, problems in measuring employment and income, and the availability of data on children. The papers on welfare leavers and welfare dynamics cover a comparison of existing welfare leaver studies, data from the state of Wisconsin on welfare leavers, and data from the National Longitudinal Survey of Youth used to construct measures of heterogeneity in the welfare population based on the recipient's own welfare experience. A final paper discusses qualitative data.
