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The initial purpose of this study was to establish the effect of childhood conditions on longevity from the Brabant data set. This data set combines information at ages 12, 43, 53 and mortality between 53 and 71 for a sample of some 3000 individuals born around 1940 in the Dutch province of...
Persistent link: https://www.econbiz.de/10010326427
The discrete outcome of a probability model is recordedas Y(i)=1 while otherwise Y(i)=0. y is the vector of observedoutcomes, p the corresponding probabilities, p^a consistent estimate of p, and residuals are defined ase = y - p^. Under quite general conditions, theasymptotic properties of p^...
Persistent link: https://www.econbiz.de/10010324460
A bank employs logistic regression with state-dependent sample selection to identify loans thatmay go wrong. Inspection shows that the logit model is inappropriate. A bounded logit model witha ceiling of (far) less than 1 fits the data much better.
Persistent link: https://www.econbiz.de/10010324628
In a binary logit analysis with unequal sample frequencies of the twooutcomes the less frequent outcome always has lower estimatedprediction probabilities than the other one. This effect is unavoidable,and its extent varies inversely with the fit of the model, as given by anew measure that...
Persistent link: https://www.econbiz.de/10010324717
In a discrete model, the predicted probabilities of a particular eventcan be matched to the observed (0, I) outcomes and this will give riseto a measure of fit for that event. Previous results for the binomialmodel are applied to multinomial models. In these models the measureof fit will vary...
Persistent link: https://www.econbiz.de/10010324902
This paper describes the origins of the logistic function, its adoption in bio-assay, and its wider acceptance in statistics. Its roots spread far back to the early 19th century; the survival of the term logistic and the wide application of the device have been determined decisively by the...
Persistent link: https://www.econbiz.de/10010325069
In binary discrete regression models like logit or probit the omis-sion of a relevant regressor (even if it is orthogonal) depresses the re-maining b coefficients towards zero. For the probit model, Wooldridge(2002) has shown that this bias does not carry over to the effect ofthe regressor on...
Persistent link: https://www.econbiz.de/10010325494
The Brabant Data Set, now freely accessible, contains informationon a sample cohort of 3,000 individuals born around 1940 from surveysin 1952, 1983 and 1993, as well as on deaths between 1994 and 2009.In line with numerous epidemiological studies we find that among theearly variables recorded at...
Persistent link: https://www.econbiz.de/10010326478
This technical note consists of three parts. The first describes theorigins of the Brabant data set, the later surveys and the mortalitydata. The second section discusses the variation of mortality rateswith age in the population and in the sample. The third section setsout the proportional...
Persistent link: https://www.econbiz.de/10010326549
We analyze the impact of unemployment benefits and minimum wagesusing an equilibrium search model which allows for dispersion ofbenefits and productivity levels, job-to-job transitions, andstructural and frictional unemployment. The estimation method usesreadily available aggregate data on...
Persistent link: https://www.econbiz.de/10010324554