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Forecasting Models of Retail Rents

Dados Bibliográficos

ID4139364
AutoresChris Brooks (0009-0003-4507-357X, University of Reading, autor correspondente), Sotiris Tsolaco (Jones Lang LaSalle, 22 Hanover Square, London W1A 2BN, England), Sotiris Tsolacos (0000-0001-5771-212X, Jones Lang LaSalle, 22 Hanover Square, London W1A 2BN, England, autor correspondente)
Ano2000
Volume32
Fascículo10
Páginas1825-1839
Data de publicação2000-10-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores do periódicoISSN: 0308-518X • E-ISSN: 1472-3409
EditoraSAGE Publications Inc (PUBLISHER)
DOI10.1068/a3332
OpenAlexW2023047851
IdiomaEN
Citações recebidas3
Referências citadas21

The authors model retail rents in the United Kingdom with use of vector-autoregressive and time-series models. Two retail rent series are used, compiled by LaSalle Investment Management and CB Hillier Parker, and the emphasis is on forecasting. The results suggest that the use of the vector-autoregression and time-series models in this paper can pick up important features of the data that are useful for forecasting purposes. The relative forecasting performance of the models appears to be subject to the length of the forecast time-horizon. The results also show that the variables which were appropriate for inclusion in the vector-autoregression systems differ between the two rent series, suggesting that the structure of optimal models for predicting retail rents could be specific to the rent index used. Ex ante forecasts from our time-series suggest that both LaSalle Investment Management and CB Hillier Parker real retail rents will exhibit an annual growth rate above their long-term mean

Autoregressive integrated moving average · Autoregressive model · Econometrics · Economic rent · Economics · Ex-ante · Macroeconomics · Microeconomics · STAR model · Statistics · Time series · Vector autoregression · Computer Science · Economics of Agriculture and Food Markets · Housing Market and Economics · Mathematics · Monetary Policy and Economic Impact

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Obras citantes distintas3
Citações por ano0,15
Intervalo de citações2006 - 2025 (20)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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