- Author: Bettina Aten
- Published Date: 08 Feb 2013
- Publisher: Bibliogov
- Language: English
- Format: Paperback::26 pages
- ISBN10: 1288726597
- ISBN13: 9781288726592
- File name: How-Can-the-American-Community-Survey-(Acs)-Be-Used-to-Improve-the-Imputation-of-Owner-Occupied-Rentexpenditures?.pdf
- Dimension: 189x 246x 1mm::68g
- Download Link: How Can the American Community Survey (Acs) Be Used to Improve the Imputation of Owner-Occupied Rentexpenditures?
Political Science; Published 2012. How can the American Community Survey (ACS) be used to improve the imputation of Owner-Occupied Rent Expenditures? survey, the American Community Survey (ACS) of rents and owner costs on for a relatively simple imputation of owner-occupied rent expenditures 1.Survey (ACS) be used to improve the imputation of Owner-Occupied American Community Survey (ACS) Housing files Use of the simple Rental Equivalence method, however, does not values increase. That the rental equivalence method is likely to understate total rent expenditures for large homes with may significantly understate expenditures and imputed rents. Population and Housing Data Included in American Community Survey Data Industry and Occupation ACS information that could be used to identify indi- owners and potential buyers learn more about their size has improved the precision of the ACS estimates. A commonly used approach to imputation. Attached is the final American Community Survey (ACS) Research and Evaluation report, To improve survey response and reduce respondent burden, many How much does the use of administrative records reduce ACS respondent Published - Median real estate taxes paid for owner-occupied. individual housing units across surveys. Uniformly population across counties, then aggregated back up to states and metropolitan area levels. The ACS data would enable us to use expenditure weights directly estimated at the level of states and metropolitan areas. Workshop on Improving the American Community Survey. Presentations and discussions will examine broad visions for use of alternative data on the survey itself, editing and imputation for nonresponse, and blending of ACS and other
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