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|a 10.2307/1392295
|2 doi
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|a (DE-627)JST045325936
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|a (JST)1392295
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Anily, Shoshana
|e verfasserin
|4 aut
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|a Inferring the Distribution of Households' Duration of Residence from Data on Current Residence Time
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|c 1999
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|a Text
|b txt
|2 rdacontent
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|a Computermedien
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|a Online-Ressource
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|a Estimates of households' expected duration of residence are important to private and public decision makers. The common methods of estimation have been shown to be unreliable. This article presents a measurement framework for estimating total time of residence using five large sets of published government census data on the housing market. By developing a moving-behavior model, the distribution of total residence duration can be estimated from the census data on the age of current residency (i.e., time since moving into current residence). Among other results, we found that the average total residence duration for all U.S. households, 5.5 years, is about half the average age residence time, 10.7 years. This extended intertemporal model provides more reliable estimates for the age and expected duration of occupancy. Therefore, the model better explains and predicts housing-market behavior and also the demand for the many housing-related products and services.
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|a Copyright 1999 American Statistical Association
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|a Age/interarrival time of a renewal process
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|a Renewal theory
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|a Residential mobility
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|a Behavioral sciences
|x Sociology
|x Human societies
|x Social institutions
|x Households
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|a Social sciences
|x Human geography
|x Housing
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|a Mathematics
|x Pure mathematics
|x Algebra
|x Arithmetic mean
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
|x Estimators
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Expected values
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|a Arts
|x Applied arts
|x Architecture
|x Buildings
|x Residential buildings
|x Houses
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|a Health sciences
|x Health care industry
|x Health information
|x Biostatistics
|x Biometrics
|x Human physical characteristics
|x Age
|x Average age
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|a Economics
|x Economic disciplines
|x Consumer economics
|x Consumer advocacy
|x Consumer information
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|a Economics
|x Economic disciplines
|x Applied economics
|x Econometrics
|x Economic statistics
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|a Arts
|x Applied arts
|x Architecture
|x Buildings
|x Residential buildings
|x Dwellings
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|a research-article
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|a Hornik, Jacob
|e verfasserin
|4 aut
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|a Israeli, Miron
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of Business & Economic Statistics
|d American Statistical Association, 1983
|g 17(1999), 3, Seite 373-381
|w (DE-627)327084073
|w (DE-600)2043744-4
|x 07350015
|7 nnns
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|g volume:17
|g year:1999
|g number:3
|g pages:373-381
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|u https://www.jstor.org/stable/1392295
|3 Volltext
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|u https://doi.org/10.2307/1392295
|3 Volltext
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|d 17
|j 1999
|e 3
|h 373-381
|