Arbeitspapier
Estimates of survival and mortality from successive cross-sectional surveys
Survival ratios and death rates for chronic conditions can be estimated from successive, cross-sectional surveys when the condition and the age of onset are obtained. Survival ratios use the estimated population in the first survey period as the denominator and the estimated number of survivors at a later survey period as the numerator. These ratios have independent numerators and denominators and their variance estimates are a modification of the usual formulas. We illustrate the method by estimating annual death rates and their standard errors among diabetics in the United States.
- Sprache
-
Englisch
- Erschienen in
-
Series: ISER Working Paper Series ; No. 2010-12
- Klassifikation
-
Wirtschaft
Health Behavior
Survey Methods; Sampling Methods
- Thema
-
survival ratios
death rates
chronic disease
diabetes
survey methods
BRFSS
Krankheit
Chronische Krankheit
Sterblichkeit
USA
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Smith, David W.
McFall, Stephanie L.
Bradshaw, Benjamin S.
- Ereignis
-
Veröffentlichung
- (wer)
-
University of Essex, Institute for Social and Economic Research (ISER)
- (wo)
-
Colchester
- (wann)
-
2010
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Smith, David W.
- McFall, Stephanie L.
- Bradshaw, Benjamin S.
- University of Essex, Institute for Social and Economic Research (ISER)
Entstanden
- 2010
Ähnliche Objekte (12)
U.S. Money Demand: Surprising Cross-Sectional Estimates
Earnings forecasts: the case for combining analysts’ estimates with a cross-sectional model
Outliers in Cross-Sectional Regression
A comparison of earnings measures from longitudinal and cross-sectional surveys: evidence from the UK
CSAR: The Cross-Sectional Autoregression Model
Cross-sectional and aggregate labor supply
Option characteristics as cross-sectional predictors
Open source cross-sectional asset pricing
Option characteristics as cross-sectional predictors
Cross-sectional analysis of risk-neutral skewness
Exponent of Cross-sectional Dependence for Residuals
Networks of news and cross-sectional returns
U.S. Money Demand: Surprising Cross-Sectional Estimates
Earnings forecasts: the case for combining analysts’ estimates with a cross-sectional model
Outliers in Cross-Sectional Regression
A comparison of earnings measures from longitudinal and cross-sectional surveys: evidence from the UK
CSAR: The Cross-Sectional Autoregression Model
Cross-sectional and aggregate labor supply
Option characteristics as cross-sectional predictors
Open source cross-sectional asset pricing
Option characteristics as cross-sectional predictors
Cross-sectional analysis of risk-neutral skewness
Exponent of Cross-sectional Dependence for Residuals
Networks of news and cross-sectional returns
U.S. Money Demand: Surprising Cross-Sectional Estimates
Earnings forecasts: the case for combining analysts’ estimates with a cross-sectional model
Outliers in Cross-Sectional Regression
A comparison of earnings measures from longitudinal and cross-sectional surveys: evidence from the UK
CSAR: The Cross-Sectional Autoregression Model
Cross-sectional and aggregate labor supply
Option characteristics as cross-sectional predictors
Open source cross-sectional asset pricing
Option characteristics as cross-sectional predictors
Cross-sectional analysis of risk-neutral skewness
Exponent of Cross-sectional Dependence for Residuals