dc.contributor.author
Lindner, Fabian
dc.date.accessioned
2018-06-07T16:39:49Z
dc.date.available
2014-10-27T10:28:44.021Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/2858
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-7059
dc.description
1 The HousingWealth Effect on Consumption Reconsidered 1.1 An overlapping
generations model of the housing market 1.2 Estimation of the housing wealth
effect 1.2.1 Data 1.2.2 Estimation 1.2.3 Robustness test 1.3 Conclusion 1.4
Appendix 2 Mortgage Credit and Housing Prices 2.1 The interaction between
mortgage credit and house prices 2.2 Deregulation and moral hazard in US
mortgage markets 2.3 Data 2.4 Estimation 2.4.1 Co-integration relationships
2.4.2 Stability 2.4.3 Impulse-response functions and variance decomposition
2.4.4 Out of sample forecast 2.4.5 The role of interest rates 2.5 Conclusion 3
Decomposing the German Employment Miracle in the Great Recession 3.1 Okun’s
law, labor hoarding and work sharing 3.2 Safeguarding employment in downturns:
a historical comparison 3.3 Econometric evidence on safeguarding labor in the
Great Recession 3.3.1 Estimates for the aggregate economy 3.3.2 Estimates for
the manufacturing sector and the rest of the economy 3.3.3 Comparing the
aggregate and the sectoral forecasts 3.3.4 Accounting for unexpected working
time and productivity developments 3.3.5 Stability 3.4 Conclusion Bibliography
dc.description.abstract
The dissertation consists of three chapters. Chapter 1: The Housing Wealth
Effect on Consumption Reconsidered Most of the literature on the effect of
housing wealth on consumption has been embedded in a simple life-cycle model
in which housing price changes work as a “wealth effect”. In such models,
windfall gains in housing always lead to positive changes in consumption. But
this might constitute a fallacy of composition. Such models ignore that
changes in housing prices have distributional consequences between those
planning to sell their house and those planning to buy a house. Further, since
most housing is not simply financed out of current cash holdings but by
mortgages, the institutions on mortgage markets have to be considered when
looking at the “wealth effect” of housing. To analyze this problem, an
overlapping generations model is presented from which the classic Ando-
Modigliani consumption function augmented by housing wealth can be deduced. It
is shown that the deeper structural model from which this equation is deduced
implies that changes in housing prices are not necessarily positively
correlated with consumption. It will be argued that changes both in
demographics (the composition of the age groups in the population) as well as
in mortgage markets have led to a structural break in the effect of housing
wealth on consumption in the mid-1980s in the US. To test this hypothesis, two
Vector Autoregressive (VAR) models are estimated and impulse-response
functions are computed. The results show that housing price changes affected
consumption differently before the mid-1980s and afterward. While both models
show that consumption was positively related to housing wealth shocks after
the mid-1980s, there was no or even a negative relation before. This means
that the housing wealth effect depends on the economic context. Only under the
conditions of deregulated mortgage markets and a relatively old population
could housing prices positively and markedly affect consumption and thereby
the US business cycle. It is under those specific conditions that the boom and
bust pattern of housing prices could become a boom and bust pattern for the US
business cycle. Chapter 2: The interaction between mortgage credit and housing
prices While the first chapter analyzed the effects of housing price changes
on the real economy, the second chapter further analyzes how housing prices
are determined and more specifically what role mortgage credit plays in the
determination of housing prices. However, it is not clear ex ante how housing
prices and mortgage markets interact: housing prices could drive mortgage
credit or mortgage credit housing prices. In order to better understand the
interaction between these two variables, the Johansen procedure is used to
estimate a long run co-integration relationship between mortgage credit and
housing prices between 1984 and 2012. To this effect, two models with two
different housing price variables are estimated. It is found that mortgage
credit is weakly exogenous. Impulse-response functions, variance
decompositions and out of sample forecasts show that mortgage credit drives
housing prices and not vice versa. The chapter also looks at the role of
short-term and long-term interest rates. Too low monetary policy rates were
often seen as one of the key reasons behind the built up of the housing price
bubble. However, the models do not find important influences of both interest
rates on housing prices or mortgage credit. Thus, the role of monetary policy
is not likely to have been very important in the built-up of the housing
bubble. Chapter 3: Decomposing the German Employment Miracle in the Great
Recession The third chapter looks at the effects of the “Great Trade Collapse”
on the highly exportdependent German economy. While German banks were among
the largest lenders to the US and many of its banks were threatened by
insolvency when US default rates increased (Acharya and Schnabl, 2010; Shin,
2012; Borio and Disyatat, 2011; Lindner, 2012), the main transmission
mechanism to the German economy (and more generally to the rest of the world)
seems to have been via exports and imports (Baldwin, ed, 2009; Bagliano and
Morana, 2011). Indeed, the strong decrease in German exports led to the
deepest recession in Germany after the Second World War. However, employment
even slightly increased in the recession. The reasons for this “labor market
miracle” are looked at more closely. In order to do that, de-trended, i.e.
cyclical, changes in average working time and hourly labor productivity are
analyzed both for the manufacturing and for the non-manufacturing sector.
Decreases in both variables can buffer the effect of changes in GDP on
employment. By using historical comparisons and a forecast exercise, it is
found that reductions in working time indeed seem to have caused the “miracle”
because they declined more than anticipated based on past experience. This
unanticipated decrease mainly seems to have come from the non-manufacturing
sector while working time developments were hardly surprising in the
manufacturing sector, given the steep decline in GDP. Most of the instruments
allowing for a reduction in average working time were negotiated in collective
bargaining and were not the results of government action. It thus seems that
good collective bargaining institutions are a pre-requisite for the use of
work sharing as a labor-saving instrument.
de
dc.format.extent
XII, 119 S.
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject
Mortgage Markets
dc.subject
Monetary Policy
dc.subject
Great Recession
dc.subject
employment miracle
dc.subject.ddc
300 Sozialwissenschaften::330 Wirtschaft::339 Makroökonomie und verwandte Themen
dc.title
Essays on Reasons and Consequences of the Great Recession
dc.contributor.firstReferee
Collier, Irwin
dc.contributor.furtherReferee
Schreiber, Sven
dc.date.accepted
2014-10-21
dc.identifier.urn
urn:nbn:de:kobv:188-fudissthesis000000097719-3
dc.title.translated
Essays zu den Bestimmungsgründen und Konsequenzen der Großen Rezession
de
refubium.affiliation
Wirtschaftswissenschaft
de
refubium.mycore.fudocsId
FUDISS_thesis_000000097719
refubium.mycore.derivateId
FUDISS_derivate_000000015929
dcterms.accessRights.dnb
free
dcterms.accessRights.openaire
open access