Price Webs : a panel analysis of the changes in the estimated dependence structure of CPI-subgroups using sparse precision matrices
This thesis investigates the evolution of the relationships between the idiosyncratic components of inflation subindices over time. Utilizing machine learning techniques, specifically Principal Components Analysis (PCA) and Graphical Lasso, the study identifies key components of price changes and ma...
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Language: | English |
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2024
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Online Access: | http://hdl.handle.net/1946/47575 |
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ftskemman:oai:skemman.is:1946/47575 2024-06-23T07:54:01+00:00 Price Webs : a panel analysis of the changes in the estimated dependence structure of CPI-subgroups using sparse precision matrices Elena Dís Ásgeirsdóttir 2001- Tryggvi Þór Þórhallsson Bergstað 2003- Háskólinn í Reykjavík 2024-05 application/pdf http://hdl.handle.net/1946/47575 en eng http://hdl.handle.net/1946/47575 Hagfræði og fjármál Verðbólga Vísitala neysluverðs Vélrænt nám Consumer price indexes Machine learning Inflation (Finance) Economics and finance Thesis Bachelor's 2024 ftskemman 2024-06-11T14:26:05Z This thesis investigates the evolution of the relationships between the idiosyncratic components of inflation subindices over time. Utilizing machine learning techniques, specifically Principal Components Analysis (PCA) and Graphical Lasso, the study identifies key components of price changes and maps the network of idiosyncratic elements. The analysis period is divided into two intervals, 1997-2010 and 2010-2023. Findings indicate a strengthening of the network, evidenced by an increase in nonzero edges and enhanced connectedness in the latter period. Contributing factors to this change include shifts in the competitive dynamics of product markets and economic cyclical variations. Notable changes were observed in categories such as small home electronics and housing-related services, reflecting broader economic trends. Key words: Inflation, Consumer Price Index, subindices, Iceland, machine learning, principal components, PCA, graphical lasso, dependence structure. Bachelor Thesis Iceland Skemman (Iceland) |
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Open Polar |
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Skemman (Iceland) |
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ftskemman |
language |
English |
topic |
Hagfræði og fjármál Verðbólga Vísitala neysluverðs Vélrænt nám Consumer price indexes Machine learning Inflation (Finance) Economics and finance |
spellingShingle |
Hagfræði og fjármál Verðbólga Vísitala neysluverðs Vélrænt nám Consumer price indexes Machine learning Inflation (Finance) Economics and finance Elena Dís Ásgeirsdóttir 2001- Tryggvi Þór Þórhallsson Bergstað 2003- Price Webs : a panel analysis of the changes in the estimated dependence structure of CPI-subgroups using sparse precision matrices |
topic_facet |
Hagfræði og fjármál Verðbólga Vísitala neysluverðs Vélrænt nám Consumer price indexes Machine learning Inflation (Finance) Economics and finance |
description |
This thesis investigates the evolution of the relationships between the idiosyncratic components of inflation subindices over time. Utilizing machine learning techniques, specifically Principal Components Analysis (PCA) and Graphical Lasso, the study identifies key components of price changes and maps the network of idiosyncratic elements. The analysis period is divided into two intervals, 1997-2010 and 2010-2023. Findings indicate a strengthening of the network, evidenced by an increase in nonzero edges and enhanced connectedness in the latter period. Contributing factors to this change include shifts in the competitive dynamics of product markets and economic cyclical variations. Notable changes were observed in categories such as small home electronics and housing-related services, reflecting broader economic trends. Key words: Inflation, Consumer Price Index, subindices, Iceland, machine learning, principal components, PCA, graphical lasso, dependence structure. |
author2 |
Háskólinn í Reykjavík |
format |
Bachelor Thesis |
author |
Elena Dís Ásgeirsdóttir 2001- Tryggvi Þór Þórhallsson Bergstað 2003- |
author_facet |
Elena Dís Ásgeirsdóttir 2001- Tryggvi Þór Þórhallsson Bergstað 2003- |
author_sort |
Elena Dís Ásgeirsdóttir 2001- |
title |
Price Webs : a panel analysis of the changes in the estimated dependence structure of CPI-subgroups using sparse precision matrices |
title_short |
Price Webs : a panel analysis of the changes in the estimated dependence structure of CPI-subgroups using sparse precision matrices |
title_full |
Price Webs : a panel analysis of the changes in the estimated dependence structure of CPI-subgroups using sparse precision matrices |
title_fullStr |
Price Webs : a panel analysis of the changes in the estimated dependence structure of CPI-subgroups using sparse precision matrices |
title_full_unstemmed |
Price Webs : a panel analysis of the changes in the estimated dependence structure of CPI-subgroups using sparse precision matrices |
title_sort |
price webs : a panel analysis of the changes in the estimated dependence structure of cpi-subgroups using sparse precision matrices |
publishDate |
2024 |
url |
http://hdl.handle.net/1946/47575 |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
http://hdl.handle.net/1946/47575 |
_version_ |
1802645957310939136 |