Temperature Anomalies, Long Memory, and Aggregation

Econometric studies for global heating have typically used regional or global temperature averages to study its long memory properties. One typical explanation behind the long memory properties of temperature averages is cross-sectional aggregation. Nonetheless, formal analysis regarding the effect...

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Main Author: J. Eduardo Vera-Valdés
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Econometrics
Subjects:
Online Access:https://www.mdpi.com/2225-1146/9/1/9
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author J. Eduardo Vera-Valdés
author_facet J. Eduardo Vera-Valdés
author_sort J. Eduardo Vera-Valdés
collection DOAJ
description Econometric studies for global heating have typically used regional or global temperature averages to study its long memory properties. One typical explanation behind the long memory properties of temperature averages is cross-sectional aggregation. Nonetheless, formal analysis regarding the effect that aggregation has on the long memory dynamics of temperature data has been missing. Thus, this paper studies the long memory properties of individual grid temperatures and compares them against the long memory dynamics of global and regional averages. Our results show that the long memory parameters in individual grid observations are smaller than those from regional averages. Global and regional long memory estimates are greatly affected by temperature measurements at the Tropics, where the data is less reliable. Thus, this paper supports the notion that aggregation may be exacerbating the long memory estimated in regional and global temperature data. The results are robust to the bandwidth parameter, limit for station radius of influence, and sampling frequency.
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spelling doaj.art-254c04a6713e4fcdaf470538087d72ae2023-12-03T12:22:53ZengMDPI AGEconometrics2225-11462021-03-0191910.3390/econometrics9010009Temperature Anomalies, Long Memory, and AggregationJ. Eduardo Vera-Valdés0Department of Mathematical Sciences, Aalborg University and CREATES, DK-9220 Aalborg, DenmarkEconometric studies for global heating have typically used regional or global temperature averages to study its long memory properties. One typical explanation behind the long memory properties of temperature averages is cross-sectional aggregation. Nonetheless, formal analysis regarding the effect that aggregation has on the long memory dynamics of temperature data has been missing. Thus, this paper studies the long memory properties of individual grid temperatures and compares them against the long memory dynamics of global and regional averages. Our results show that the long memory parameters in individual grid observations are smaller than those from regional averages. Global and regional long memory estimates are greatly affected by temperature measurements at the Tropics, where the data is less reliable. Thus, this paper supports the notion that aggregation may be exacerbating the long memory estimated in regional and global temperature data. The results are robust to the bandwidth parameter, limit for station radius of influence, and sampling frequency.https://www.mdpi.com/2225-1146/9/1/9global heatingtemperature anomaliesclimate econometricslong memoryaggregation
spellingShingle J. Eduardo Vera-Valdés
Temperature Anomalies, Long Memory, and Aggregation
Econometrics
global heating
temperature anomalies
climate econometrics
long memory
aggregation
title Temperature Anomalies, Long Memory, and Aggregation
title_full Temperature Anomalies, Long Memory, and Aggregation
title_fullStr Temperature Anomalies, Long Memory, and Aggregation
title_full_unstemmed Temperature Anomalies, Long Memory, and Aggregation
title_short Temperature Anomalies, Long Memory, and Aggregation
title_sort temperature anomalies long memory and aggregation
topic global heating
temperature anomalies
climate econometrics
long memory
aggregation
url https://www.mdpi.com/2225-1146/9/1/9
work_keys_str_mv AT jeduardoveravaldes temperatureanomalieslongmemoryandaggregation