Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 373-381 |
| Number of pages | 9 |
| Journal | Journal of Business and Economic Statistics |
| Volume | 17 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jul 1999 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Age/interarrival time of a renewal process
- Renewal theory
- Residential mobility
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