 Temperature Anomalies, Long Memory, and AggregationCREATES Research Papers from Department of Economics and Business Economics, Aarhus University Abstract: Econometric studies for global heating have typically used regional or global temperature averages to show that they exhibit long memory properties. One typical explanation behind the long memory properties of temperature averages is cross-sectional aggregation. Nonetheless, the 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 the ones from regional averages. Global and regional long memory estimates are found to be 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. Keywords: Global Heating; Temperature Anomalies; Climate Econometrics; Long Memory; Aggregation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:aah:create:2020-16 Access Statistics for this paper More papers in CREATES Research Papers from Department of Economics and Business Economics, Aarhus University |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.