Housing loans and domestic credit in the Baltic States and Poland: Structural breaks and macroeconomic determinants

Aim/purpose – This study examines the time-series properties of home loans and domestic credit in Poland and the three Baltic countries, first in the univariate sense by identifying structural breaks in the series, and then using a multivariate model to identify the key dr...

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Main Author: Scott W. Hegerty
Format: Article
Language:English
Published: Publishing House of the University of Economics in Katowice 2020-12-01
Series:Journal of Economics and Management
Subjects:
Online Access:https://www.ue.katowice.pl/fileadmin/user_upload/wydawnictwo/JEM_Artyku%C5%82y_31_60/JEM_42/03.pdf
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spelling doaj-6e09d2cdc15e4d89963b086c9f71deb12021-02-04T08:11:50ZengPublishing House of the University of Economics in KatowiceJournal of Economics and Management1732-19482020-12-014244869https://doi.org/10.22367/jem.2020.42.03Housing loans and domestic credit in the Baltic States and Poland: Structural breaks and macroeconomic determinantsScott W. Hegerty0https://orcid.org/0000-0002-0999-561XDepartment of Economics, College of Arts and Sciences, Northeastern Illinois University, Chicago, USA, S-Hegerty@neiu.eduAim/purpose – This study examines the time-series properties of home loans and domestic credit in Poland and the three Baltic countries, first in the univariate sense by identifying structural breaks in the series, and then using a multivariate model to identify the key drivers of loan growth. Design/methodology/approach – Structural break tests are conducted using the method of Bai & Perron (1998), while orthgonalised VARs are used for the macroeconomic model. Findings – The Estonian and Lithuanian home lending growth series have structural breaks in 2007, preceding the onset of the 2008 Global Financial Crisis. Estonian home lending has two additional structural breaks in 2009 and 2013. Neither of the two Polish lending series has any break after the sample begins in 2009, indicating more stability in the country’s markets. In the macroeconomic model, consumer price inflation and real effective exchange-rate appreciations have the largest influence on lending and credit growth, and Poland more affected than the Baltic countries. Research implications/limitations – This study opens the door to future research behind the specific causes of structural breaks in these series. While there is some evidence of an ‘early warning’ before the 2008 crisis, longer data series are needed for Poland and especially in the case of Latvia. Originality/value/contribution – This study offers insight into the lending markets in an area of the world that was significantly impacted by the 2008 crisis. Understanding the behaviour and causes of lending growth will help avoid future problems.https://www.ue.katowice.pl/fileadmin/user_upload/wydawnictwo/JEM_Artyku%C5%82y_31_60/JEM_42/03.pdfhome lendingdomestic creditpolandbalticstime series
collection DOAJ
language English
format Article
sources DOAJ
author Scott W. Hegerty
spellingShingle Scott W. Hegerty
Housing loans and domestic credit in the Baltic States and Poland: Structural breaks and macroeconomic determinants
Journal of Economics and Management
home lending
domestic credit
poland
baltics
time series
author_facet Scott W. Hegerty
author_sort Scott W. Hegerty
title Housing loans and domestic credit in the Baltic States and Poland: Structural breaks and macroeconomic determinants
title_short Housing loans and domestic credit in the Baltic States and Poland: Structural breaks and macroeconomic determinants
title_full Housing loans and domestic credit in the Baltic States and Poland: Structural breaks and macroeconomic determinants
title_fullStr Housing loans and domestic credit in the Baltic States and Poland: Structural breaks and macroeconomic determinants
title_full_unstemmed Housing loans and domestic credit in the Baltic States and Poland: Structural breaks and macroeconomic determinants
title_sort housing loans and domestic credit in the baltic states and poland: structural breaks and macroeconomic determinants
publisher Publishing House of the University of Economics in Katowice
series Journal of Economics and Management
issn 1732-1948
publishDate 2020-12-01
description Aim/purpose – This study examines the time-series properties of home loans and domestic credit in Poland and the three Baltic countries, first in the univariate sense by identifying structural breaks in the series, and then using a multivariate model to identify the key drivers of loan growth. Design/methodology/approach – Structural break tests are conducted using the method of Bai & Perron (1998), while orthgonalised VARs are used for the macroeconomic model. Findings – The Estonian and Lithuanian home lending growth series have structural breaks in 2007, preceding the onset of the 2008 Global Financial Crisis. Estonian home lending has two additional structural breaks in 2009 and 2013. Neither of the two Polish lending series has any break after the sample begins in 2009, indicating more stability in the country’s markets. In the macroeconomic model, consumer price inflation and real effective exchange-rate appreciations have the largest influence on lending and credit growth, and Poland more affected than the Baltic countries. Research implications/limitations – This study opens the door to future research behind the specific causes of structural breaks in these series. While there is some evidence of an ‘early warning’ before the 2008 crisis, longer data series are needed for Poland and especially in the case of Latvia. Originality/value/contribution – This study offers insight into the lending markets in an area of the world that was significantly impacted by the 2008 crisis. Understanding the behaviour and causes of lending growth will help avoid future problems.
topic home lending
domestic credit
poland
baltics
time series
url https://www.ue.katowice.pl/fileadmin/user_upload/wydawnictwo/JEM_Artyku%C5%82y_31_60/JEM_42/03.pdf
work_keys_str_mv AT scottwhegerty housingloansanddomesticcreditinthebalticstatesandpolandstructuralbreaksandmacroeconomicdeterminants
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