Big data and Housing Demography: Differences among Apartment Announcement Dynamics in a medium size Brazilian inner-city

Alternative data sources can potentially provide new approaches applications enrich traditional analysis or fill blanks in conventional data sources such as Census and cross-sectional surveys. In Household and Family Demography although important family events can be well understood by conventional data sources they cannot provide information on household dynamics during the time and limited information is available on housing. An innovative data source alternative emerges from mobile and web device applications (apps) that collect household data for the purposes of selling and renting apartment announcements. It can be seen as a follow-up study that provides unique information on housing dynamics and the household spatial distribution inside metropolitan urban areas. Under the hypothesis of high socioeconomic population segregation in a medium size Brazilian city (Campinas-SP) an Event History Analysis using Discrete Time Proportional Hazard Model (PH) will be applied to explore whether there are statistical significant differences between apartment announcement dynamics among different inner-city regions.