The analysis of residence histories and other longitudinal panel data: A continuous time mixed markov renewal model incorporating exogeneous variables
ABSTRACT The analysis of residence histories and other longitudinal panel data is fraught with methodological problems. Much recent progress has been made in methods of analysis within discrete time. This paper extends the development of empirically tractable mixed continuous time stochastic models. Analysis of a sample of intra-urban residential histories identifies the effect of tenure type, age of household head, size of household and duration of stay on movement probabilities. Surprisingly, no further variation, as represented by a gamma mixing distribution over a hazard rate parameter, may be identified.
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ABSTRACT: This paper is an attempt to analyse the determinants of out-migration of the elite from the Portuguese city of Viana do Castelo. The data used are derived from a reconstruction of this electorate using record linkage methods. Indirect evidence of emigration is available from passport books, and evidence of death is available with cemetery lists. The paper discusses methodological issues in the estimation of hazard models of duration spent under observation in the elite. The analysis suggests that, while out-migration was not significantly dependant on age, or marital status, there were large occupational differentials, and significant period effects.Cet article cherche analyser les dterminants de l'migration de l'lite d'une ville portugaise, Viana do Castelo. Les donnes sont issues d'une reconstruction de la population de cet lectorat utilisant un appariement de divers fichiers. Elle fournit une information indirecte sur l'migration (registres de passeports) et une information directe sur les dcs (registres des dcs). L'article discute les problmes mthodologiques poss par l'estimation de modles risques proportionnels portant sur la dure d'observation des individus dans l'lite. L'analyse suggre que l'migration ne dpendait pas significativement de l'ge, ou du statut matrimonial, mais qu'il y avait d'importantes diffrences lies la profession et un effect significatif de la priode d'migration.European Journal of Population 05/1991; 7(2):113-128. · 1.75 Impact Factor
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ABSTRACT: This paper attempts to further the research by Odland and Ellis (1992) in applying event history methodology to the analysis of spatial point patterns (that is, event patterns). Its empirical focus is the event pattern derived from the adoption of an agricultural innovation, the Harvestore, in southern Ontario, Canada, from 1963 to 1986. Event history analysis involves the use of discrete-state, continuous-time stochastic models to investigate a temporal longitudinal record on discrete variables. Event history models are usually concerned with durations of time between events and the effects of intertemporal time dependencies on future event occurrences. As such, they are often referred to as duration models. Many of the methods used in event history analysis allow the use of other nonnegative interval measurements in place of standard temporal intervals to investigate a series of events. In particular, spatial intervals (or durations) of distances between events may also be accommodated by event history models. Our analysis extends the previous research of Odland and Ellis (1992) by using a wider range of parametric models to explore duration dependence, investigating the role of spatial censoring, and using a more extensive set of explanatory variables. In addition, simulation experiments and graphical tests are used to evaluate the empirical event pattern against one generated from Complete Spatial Randomness. Results indicate that the event pattern formed by the Harvestore adopter farms is clustered (that is, is described by positive duration dependency), the sales agent is a significant factor in the distribution of adopters, and that contrasting results are obtained from the analysis using censored data versus uncensored data.Geographical Analysis 09/2010; 28(3):219 - 243. · 1.05 Impact Factor
- European Journal of Population-revue Europeenne De Demographie - EUR J POP. 01/1990; 6(4):327-358.