Magyar nyelven nem elérhető
Michael Ziegelmeyer
- 2 October 2020
- WORKING PAPER SERIES - No. 2474Details
- Abstract
- Using a dedicated set of questions in the 2014 Luxembourg Household Finance and Consumption Survey (LU-HFCS), we show that a substantial share of households contributes their own labour to the acquisition of their main residence. These contributions help households faced with credit constraints, since they reduce the need for external financing. We develop a simple theoretical model and show that own labour contributions decrease with the level of financial resources available, while they increase with the mortgage interest rate. These theoretical results are supported by empirical analysis, which also shows that own labour contributions vary by household characteristics (age, gender, profession) and by type of dwelling (house, apartment).
- JEL Code
- D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
R21 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Household Analysis→Housing Demand - Network
- Household Finance and Consumption Network (HFCN)
- 16 December 2019
- WORKING PAPER SERIES - No. 2340Details
- Abstract
- This paper studies how peers’ financial behaviour affects individuals’ own investment choices. To identify the peer effect, we exploit the unique composition of the Luxembourg population and use the differences in stock market participation across various immigrant groups to study how they affect stock market participation of natives. We solve the reflection problem by instrumenting immigrants’ stock market participation with lagged participation rates in their countries of birth. We separate the peer effect from the contextual and correlated effects by controlling for neighbourhood and individual characteristics. We find that stock market participation of immigrant peers has sizeable effects on that of natives. We also provide evidence that social learning is one of the channels through which the peer effect is transmitted. However, social learning alone does not account for the entire effect and we conclude that social utility might also play an important role in peer effects transmission.
- JEL Code
- G5 : Financial Economics
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
D83 : Microeconomics→Information, Knowledge, and Uncertainty→Search, Learning, Information and Knowledge, Communication, Belief
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
I22 : Health, Education, and Welfare→Education and Research Institutions→Educational Finance, Financial Aid - Network
- Household Finance and Consumption Network (HFCN)
- 26 March 2019
- WORKING PAPER SERIES - No. 2254Details
- Abstract
- This paper uses representative individual household data from Luxembourg to evaluate how severe economic conditions could affect bank exposure to the household sector. Information on household income, expenses and liquid assets are used to calculate household-specific probabilities of default (PD), aggregate bank exposure at default (EAD) and aggregate bank loss given default (LGD). The exercise is repeated with scenarios combining severe but plausible shocks to real estate prices, bonds and stocks, household income and interest rates. Compared to the no-shock baseline, the LGD rises by a multiple of eight, reaching 4.2% of total bank exposure to the household sector. The high-stress scenario also generates a relatively high percentage of defaults among socio-economically disadvantaged households. Our main conclusion is that bank losses appear to be quite sensitive to financial stress, despite three mitigating factors in Luxembourg: indebted households tend to hold liquid assets that can help smooth shocks, household leverage tends to decline rapidly once mortgages have been serviced several years, and loan-to-value ratios at origination appear not to be excessive.
- JEL Code
- D10 : Microeconomics→Household Behavior and Family Economics→General
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages - Network
- Household Finance and Consumption Network (HFCN)
- 19 May 2015
- WORKING PAPER SERIES - No. 1790Details
- Abstract
- We study the role of household saving behaviour, of individual motives for saving and that of perceived liquidity constraints in 15 Euro Area countries. The empirical analysis is based on the Household Finance and Consumption Survey, a new harmonized data set collecting detailed information on wealth holdings, consumption and income at the household level. Since the data is from 2010-2011, strong conclusions as regards the present are difficult to draw. This is because the crisis may have affected the data, especially in countries that were severely hit. Nevertheless we find evidence of some degree of homogeneity across countries with respect to saving preferences and the relative importance of different motives for saving. In addition, credit constraints are more heterogeneous across geographic regions and perceived to be binding for specific groups of respondents. Households living in Mediterranean countries report to be more subject to binding liquidity constraints than households living in Continental Europe. Household characteristics and institutional macroeconomic variables are significant and economically important determinants of household saving preferences and credit constraints.
- JEL Code
- C8 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs
D12 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Empirical Analysis
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
D91 : Microeconomics→Intertemporal Choice→Intertemporal Household Choice, Life Cycle Models and Saving - Network
- Household Finance and Consumption Network (HFCN)
- 11 July 2014
- WORKING PAPER SERIES - No. 1690Details
- Abstract
- Results from the Eurosystem Household Finance and Consumption Survey reveal substantial variation in household net wealth across euro area countries that await explanation. This paper focuses on three main factors for the wealth accumulation process, i) homeownership, ii) housing value appreciation and iii) intergenerational transfers. We show that these three factors, in addition to the common household and demographic factors, are relevant for the net wealth accumulation process in all euro area countries, and moreover that, using various decomposition techniques, differences therein, in particular in homeownership rates and house price dynamics, are important for explaining wealth differences across euro area countries.
- JEL Code
- D31 : Microeconomics→Distribution→Personal Income, Wealth, and Their Distributions
E21 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Consumption, Saving, Wealth
O52 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Europe
C42 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Survey Methods - Network
- Household Finance and Consumption Network (HFCN)
- 7 May 2014
- WORKING PAPER SERIES - No. 1672Details
- Abstract
- Crossing borders, be it international or regional, often go together with price, wage or indeed wealth discontinuities. This paper identifies substantial wealth differences between Luxembourg resident households and cross-border commuter households despite their similar incomes. The average (median) net wealth difference is estimated to be
- JEL Code
- D31 : Microeconomics→Distribution→Personal Income, Wealth, and Their Distributions
J61 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Geographic Labor Mobility, Immigrant Workers
F22 : International Economics→International Factor Movements and International Business→International Migration
R23 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Household Analysis→Regional Migration, Regional Labor Markets, Population, Neighborhood Characteristics
R31 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Real Estate Markets, Spatial Production Analysis, and Firm Location→Housing Supply and Markets - Network
- Household Finance and Consumption Network (HFCN)
- 31 March 2014
- WORKING PAPER SERIES - No. 1661Details
- Abstract
- This paper analyses empirically how cross-border consumption varies across product and services categories and across household characteristics. It focuses on the part of cross-border sales that arise due to work-related cross-border crossings; it analyses the cross-border consumption behaviour of cross-border commuter households residing in Belgium, France and Germany and working in Luxembourg. In total, it is estimated that these households spend
- JEL Code
- F15 : International Economics→Trade→Economic Integration
R12 : Urban, Rural, Regional, Real Estate, and Transportation Economics→General Regional Economics→Size and Spatial Distributions of Regional Economic Activity
R23 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Household Analysis→Regional Migration, Regional Labor Markets, Population, Neighborhood Characteristics
J61 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Geographic Labor Mobility, Immigrant Workers - Network
- Household Finance and Consumption Network (HFCN)
- 29 January 2014
- WORKING PAPER SERIES - No. 1631Details
- Abstract
- Mortgages constitute the largest part of household debt. An essential choice when taking out a mortgage is between fixed-interest-rate mortgages (FRMs) and adjustable-interest-rate mortgages (ARMs). However, so far, no comprehensive cross-country study has analysed what determines household demand for mortgage types, a task that this paper takes up using new data for the euro area. Our results support the hypothesis of Campbell and Cocco (2003) that the decision is best described as one of household risk management: income volatility reduces the take-out of ARMs, while increasing duration and relative size of the mortgages increase it. Controlling for other supply factors through country fixed effects, loan pricing also matters, as expected, with ARMs becoming more attractive when yield spreads rise. The paper also conducts a simulation exercise to identify how the easing of monetary policy during the financial crisis affected mortgage holders. It shows that the resulting reduction in mortgage rates produced a substantial decline in debt burdens among mortgage-holding households, especially in countries where households have higher debt burdens and a larger share of ARMs, as well as for some disadvantaged groups of households, such as those with low income.
- JEL Code
- D12 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Empirical Analysis
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages - Network
- Household Finance and Consumption Network (HFCN)
- 28 February 2011
- WORKING PAPER SERIES - No. 1299Details
- Abstract
- We study how and to what extent private households are affected by the recent financial crisis and how their financial decisions are influenced by this shock. Our analysis reveals that individuals with low levels of financial literacy are less likely to have invested in the stock market and thus are less likely to report losses in wealth. Yet, individuals with low financial literacy are more likely to sell their assets which lost in value (realize losses). This reaction to short-term losses has potential long-term consequences if individuals do not participate in markets' recovery and face lower returns in the long run.
- JEL Code
- D91 : Microeconomics→Intertemporal Choice→Intertemporal Household Choice, Life Cycle Models and Saving
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions - Network
- Conference on household finance and consumption