000			01623nam a22001577a 4500
999			_c528052 _d528052
008			241105b ||||| |||| 00| 0 eng d
100			_aWilson, N.E., Hankinson, M. Magazinnik, A. and Sands, M. _959424
245			_aInaccuracies in low income housing geocodes: When and why they matter
260			_aUrban Affairs Review
300			_a60(1), Jan, 2024: p.217-231
520			_aScholars across disciplines frequently employ data on housing developments subsidized by the National Low Income Housing Tax Credit (LIHTC). We find that the geographic coordinates for these developments, generated by the U.S. Department of Housing and Urban Development (HUD), are frequently inaccurate. Using both the population of data from California and a national sample, we find that HUD-provided geocodes are inaccurate nearly half the time while Google-generated geocodes are almost always more accurate. However, while Google’s geolocation is more likely to be accurate, when it is inaccurate, it deviates from the true location by a much greater distance than HUD. We therefore recommend that scholars use Google-generated geocodes for most research applications where the localized environment matters; however, in studies where observations are aggregated to a larger area, researchers may prefer to use HUD geocodes, which are more frequently inaccurate but typically by smaller distances.- Reproduced https://journals.sagepub.com/doi/full/10.1177/10780874231165767
650			_aHousing, Administrative data, Geocoding, Data audit. _948584
773			_aUrban Affairs Review
906			_aHOUSING
942			_cAR