Using Auxiliary Data for Adjustment in Longitudinal Research

Panel data analysis is an increasingly popular form of longitudinal data analysis among social and behavioral science researchers. A panel is a cross-section or group of people who are surveyed periodically over a given time span. In this article, we will consider a small sample of panel data analytic applications in the social sciences. Then we will address the data structure for panel analysis. Principal models of panel analysis will be summarized, along with some of their relative advantages and disadvantages. We will discuss a test to determine whether to use fixed or random effects models. After a synopsis of methods of estimations tailored to different situations, we will conclude with a brief discussion of popular software capable of performing panel analysis. Some Applications of Panel Analysis Panel data analysis is a method of studying a particular subject within multiple sites, periodically observed over a defined time frame. Within the social sciences, panel analysis has...

Journal of chronic diseases, 1987

This paper discusses the advantages and disadvantages of using administrative data for longitudinal research, focusing on loss to follow-up. Comparisons between research relying on primary data collection and that using data bases are made. After development of a suitable framework, follow-up in several well-known projects based on primary data collection (the Seven Countries project on coronary heart disease, the Massachusetts research on long-term care and the Pittsburgh clinical trial of tonsillectomy) is compared with follow-up using the Health Services Commission data base in Manitoba, Canada. Overall follow-up in the Manitoba research compares favorably with participation and follow-up rates in other studies based on primary data collection. Initial nonresponse and nonlocation are major problems with studies using primary data; failure to locate earlier respondents in subsequent waves results in a wide range of overall response rates. Data bases do not require researchers to c...

RQ, 1988

EJ379066 - SIPP ACCESS: Information Tools Improve Access to National Longitudinal Panel Surveys.

2005

ESRC Research Centre on Micro-social Change. Established in 1989 to identify, explain, model and forecast social change in Britain at the individual and household level, the Centre specialises in research using longitudinal data. • ESRC UK Longitudinal Studies Centre. This national resource centre was established in October 1999 to promote the use of longitudinal data and to develop a strategy for the future of large-scale longitudinal surveys. It is responsible for the British Household Panel Survey (BHPS) and for the ESRC's interest in the National Child Development Study and the 1970 British Cohort Study

International Journal of Epidemiology, 2019

2016

The health outcomes and costs of people attending an interdisciplin which factors need to be controlled for in future observational studies. Preliminary evidence regarding changes in Tyack et al. BMC Health Services Research 2013, 13:410

TEST, 2007

In most applications of statistical analysis in the sciences, the process by which the observed data are generated is transparent having usually been determined by the investigator by design. In contrast, in many applications in the social sciences, especially in economics, the mechanism by which the data are generated is opaque. In such circumstances, estimation of the parameters of the statistical model of the process and testing specific hypotheses about it are only half the problem of inference. My own view is that understanding the process by which the observations at hand are generated is of equal importance. Were the data, for example, obtained from a sample of firms selected by stratified random sampling from a census of all firms in the United States in 2000? Were they obtained from regulatory activity? In the case of time series, the data are almost always "fabricated," in one way or another, by aggregation, interpolation, or extrapolation, or by all three. The nature of the sampling frame or the way in which the data are fabricated must be part of the model specification on which parametric inference or hypothesis testing is based.

International Journal for Population Data Science, 2018

SSRN Electronic Journal, 2003

The availability of panel data on the basis of micro data has become an indispensable component of the infrastructure of empirically oriented social scientists and economists. This is also a consequence of the fact that, for a panel survey, the quality of both content and methodological analyses increases with each new wave. Especially the number of events which can be analyzed increases (e.g., social and regional mobility, life-course transitions like changing employment, occupational careers, family events and even death). In the USA, the "Panel Study of Income Dynamics (PSID)" has been running since 1968. In principle it was the prototype for the German Socio-Economic Panel Study (SOEP), which was started in 1984. However, the SOEP has its own features, e.g. the surveying of all adult household members, which made the SOEP itself a role model for all of the other panel studies which followed over the course of time. Survey data comparable to the SOEP which are easily assessable for researchers exist, for example, in Great Britain, the Netherlands, Russia, Hungary, Switzerland, and since 2001 in Australia.

2006