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R B Ginsberg
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ABSTRACT: "In this paper the distribution of the times between moves, or, equivalently, the relationship between duration of residence and the probability of moving [is examined]. Complete information on residence histories contained in the Population Register of Norway for the period 1965-1971 has been used to generate two data sets: the 'ideal' data set and the duration of residence at a specific point in time." The relationship between the probability of moving in a given year and stochastic models of mobility histories is then discussed. "In the subsequent section the feasibility of using the probability of moving in a given year, as measured by cross-sectional survey techniques, in lieu of complete residence histories, as contained in population registers, is evaluated. It could be demonstrated that cross-sectional data is sufficient for many purposes." In conclusion, "some comments are made regarding methodological problems arising out of the use of sparse tabular data, which is typical in socio-demographic studies where highly disaggregated projections are required."
Tijdschrift voor Economische en Sociale Geografie 02/1983; 74(4):253-66. · 0.68 Impact Factor
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R B Ginsberg
Environment and Planning A 02/1979; 11(12):1,387-404. · 1.89 Impact Factor
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R B Ginsberg
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ABSTRACT: The author describes an attempt to fit stochastic models to individual life histories. "In particular, [he] is concerned with the application of semi-Markov processes to the study of the timing of moves and duration of residence effects in the migration histories of Norwegian men over the period 1965-1971." In the second part of the article, the results of 11 studies using data on Norwegian men are presented
Regional Science and Urban Economics 02/1979; 9(4):311-331; 369-392. · 1.01 Impact Factor
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R B Ginsberg
Regional Science and Urban Economics 02/1979; 9(4):311-31. · 1.01 Impact Factor
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R B Ginsberg
Regional Science and Urban Economics 02/1979; 9(4):369-92. · 1.01 Impact Factor
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R B Ginsberg
Environment and Planning A 02/1978; 10(6):667-79. · 1.89 Impact Factor
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R B Ginsberg
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ABSTRACT: Methods of incorporating population heterogeneity into probability models of intermetropolitan and intrametropolitan mobility are discussed. Two models are described in detail. One allows for heterogeneous transition matrices; methods of estimating the distribution of transition matrices in the population are given. The other focuses on the propensity to move, and allows individuals to change on relevant characteristics over time, thus significantly extending previous models relating various background factors to mobility.
Environment and Planning A. 01/1973; 5(1):113-124.