Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/257256 
Year of Publication: 
2021
Citation: 
[Journal:] Economies [ISSN:] 2227-7099 [Volume:] 9 [Issue:] 3 [Article No.:] 98 [Publisher:] MDPI [Place:] Basel [Year:] 2021 [Pages:] 1-11
Publisher: 
MDPI, Basel
Abstract: 
The copper price is a leading indicator of real estate activity. Price increases are statistically related to increasing numbers of applications for residential building permits. However, this reciprocity is not instantaneous as permit numbers lag price rises by 9 to 10 months. This dynamic is implicit in various transmission channels: from the first effects on investment plans and demand for durable goods due to better expectations from investors and consumers to the real impact of higher copper revenues on the economy's aggregate production and demand (multiplier or second-round effect). In this paper, we proposed the impulse-response functions of a vector autoregressive model to capture the dynamic between the copper price and house building permits. Therefore, it would be expected that the recent copper price increase will boost construction and real estate activity. The effects could materialize this year and extend into early 2022.
Subjects: 
copper price
housing construction
real estate
time series
VAR model
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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