{"title":"Toward a new nationally representative household panel survey (NRHPS)","authors":"J. House","doi":"10.3233/JEM-150405","DOIUrl":null,"url":null,"abstract":"A Nationally Representative Household Panel Survey (NRHPS) would represent a natural extension into the mid-21st century of the development of repeated cross-sectional and then longitudinal/panel household surveys that have constituted major resources for developments in social science and social policy since World War II. Although an inherently expensive endeavor, it would keep the U.S. comparable to and competitive with similarly wealthy nations that have already developed NRHPSs. An NRHPS may be the most cost-effective way to generate the data needed for advancement in social science and social policy because such progress requires data on a much wider range of attributes of the same individuals, households, and their environments than are currently available in existing surveys. These surveys tend to be specialized by scientific disciplines, substantive/policy areas, and/or segments of the population, and thus preclude the kind of thinking and data necessary across disciplines, substantive policy areas, and segments of the population that are most needed in both social science and social policy. To be a cost-effective vehicle for such purposes an NHRPS must: (1) create integration and synergy across disciplines, substantive areas, and population subgroups; (2) cost-effectively meet scientific and logistical challenges; and (3) foster and utilize scientific and methodological innovations.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"40 1","pages":"449-457"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-150405","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic and Social Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JEM-150405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1
Abstract
A Nationally Representative Household Panel Survey (NRHPS) would represent a natural extension into the mid-21st century of the development of repeated cross-sectional and then longitudinal/panel household surveys that have constituted major resources for developments in social science and social policy since World War II. Although an inherently expensive endeavor, it would keep the U.S. comparable to and competitive with similarly wealthy nations that have already developed NRHPSs. An NRHPS may be the most cost-effective way to generate the data needed for advancement in social science and social policy because such progress requires data on a much wider range of attributes of the same individuals, households, and their environments than are currently available in existing surveys. These surveys tend to be specialized by scientific disciplines, substantive/policy areas, and/or segments of the population, and thus preclude the kind of thinking and data necessary across disciplines, substantive policy areas, and segments of the population that are most needed in both social science and social policy. To be a cost-effective vehicle for such purposes an NHRPS must: (1) create integration and synergy across disciplines, substantive areas, and population subgroups; (2) cost-effectively meet scientific and logistical challenges; and (3) foster and utilize scientific and methodological innovations.
期刊介绍:
The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.