{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":45,"n_cols":5,"rows_kept":45,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[11,2,11,3],[40,2,40,3],[41,2,41,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910155014003321"]
[null,null,"Autore",null,"Silver Mick"]
[null,null,"Titolo",null,"How to Better Measure Hedonic Residential Property Price Indexes / / Mick Silver"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : International Monetary Fund, , 2016"]
[null,null,"ISBN",null,"9781475555295"]
[{"$nulls":4},"1475555296"]
[{"$nulls":4},"9781475555332"]
[{"$nulls":4},"1475555334"]
[null,null,"Descrizione fisica",null,"1 online resource (89 pages) : illustrations (some color), tables"]
[null,null,"Collana",null,"IMF Working Papers"]
[null,null,"Disciplina",null,"339.31"]
[null,null,"Soggetti",null,"Housing - Prices - Mathematical models"]
[{"$nulls":4},"Hedonic damages - Mathematical models"]
[{"$nulls":4},"Inflation (Finance)"]
[{"$nulls":4},"Investments: Metals"]
[{"$nulls":4},"Inflation"]
[{"$nulls":4},"Macroeconomics"]
[{"$nulls":4},"Real Estate"]
[{"$nulls":4},"Index Numbers and Aggregation"]
[{"$nulls":4},"leading indicators"]
[{"$nulls":4},"Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)"]
[{"$nulls":4},"Price Level"]
[{"$nulls":4},"Deflation"]
[{"$nulls":4},"Housing Supply and Markets"]
[{"$nulls":4},"Nonagricultural and Nonresidential Real Estate Markets"]
[{"$nulls":4},"Metals and Metal Products"]
[{"$nulls":4},"Cement"]
[{"$nulls":4},"Glass"]
[{"$nulls":4},"Ceramics"]
[{"$nulls":4},"Property & real estate"]
[{"$nulls":4},"Investment & securities"]
[{"$nulls":4},"Price indexes"]
[{"$nulls":4},"Land prices"]
[{"$nulls":4},"Consumer price indexes"]
[{"$nulls":4},"Silver"]
[{"$nulls":4},"Prices"]
[{"$nulls":4},"Commodities"]
[{"$nulls":4},"Housing"]
[{"$nulls":4},"Leading indicators"]
[{"$nulls":4},"United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,null,"Sommario/riassunto","Hedonic regressions are used for property price index measurement to control for changes in the quality-mix of properties transacted. The paper consolidates the hedonic time dummy approach, characteristics approach, and imputation approaches. A practical hedonic methodology is proposed that (i) is weighted at a basic level; (ii) has a new (quasi-) superlative form and thus mitigates substitution bias; (iii) is suitable for sparse data in thin markets; and (iv) only requires the periodic estimation of hedonic regressions for reference periods and is not subject to the vagrancies of misspecification and estimation issues."]