Correlates of Representation Errors in Internet Data Sources for Real Estate Market
AbstractIn the article, we focus on detecting correlates of the selection mechanism that underlies Internet data sources for the secondary real estate market in Poland and results in representation errors (frame and selection errors). In order to identify characteristics of properties offered online we link data collected from the two largest advertisements services in Poland and the Register of Real Estate Prices and Values, which covers all transactions made in Poland. Quarterly data for 2016 were linked at a domain level defined by local administrative units (LAU1), the urban/rural distinction and usable floor area (UFA), categorized into four groups. To identify correlates of representation error we used a generalized additive mixed model based on almost 5,500 domains including quarters. Results indicate that properties not advertised online differ significantly from those shown in the Internet in terms of UFA and location. A non-linear relationship with the average price per m2 can be observed, which diminishes after accounting for LAU1 units.
|Journal series||Journal of Official Statistics, ISSN 0282-423X, e-ISSN 2001-7367, (N/A 100 pkt)|
|Publication size in sheets||1|
|Keywords in Polish||big data, błędy nielosowe, INLA|
|Keywords in English||big data, non-ignorable missing data, representation error, self-selection error, INLA|
|Score||= 100.0, 02-04-2020, ArticleFromJournal|
|Publication indicators||= 0; : 2018 = 1.02; : 2018 = 0.837 (2) - 2018=0.934 (5)|
|Citation count*||1 (2020-09-11)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.