Níl an t-ábhar seo ar fáil i nGaeilge.
Julia Le Blanc
- 7 April 2020
- WORKING PAPER SERIES - No. 2389Details
- Abstract
- We analyse the effect of shocks to housing wealth and income before and after the Great Recession. We combine datasets containing information on expenditure, income, wealth and debt in a synthetic panel to understand how household indebtedness affects the response to income and wealth shocks. We find evidence for both a housing wealth effect and income shocks depressing household consumption during the crisis in Ireland. The long recovery of consumption is also related to high levels of indebtedness at the onset of the crisis. Households who entered the crisis with more debt are significantly more sensitive to changes in their income. In this way, household balance sheets can be an important amplification mechanism for aggregate shocks.
- JEL Code
- D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
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
H31 : Public Economics→Fiscal Policies and Behavior of Economic Agents→Household - Network
- Household Finance and Consumption Network (HFCN)
- 6 May 2019
- WORKING PAPER SERIES - No. 2277Details
- Abstract
- Using household survey data, we document evidence of a loosening of credit standards in Euro area countries that experienced a property price boom-and-bust cycle. Borrowers in these countries exhibited significantly higher loan-to-value (LTV) and loan-to-income (LTI) ratios in the run up to the financial crisis, and an increasing tendency towards longer-term loans compared to borrowers in other countries. In recent years, despite the long period of historically low interest rates and substantial house price increases in some countries, we do not find similar credit easing as before the crisis. Instead, we find evidence of a considerable change in borrower characteristics since 2010: new borrowers are older and have higher incomes than before the crisis.
- JEL Code
- E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
G01 : Financial Economics→General→Financial Crises
G17 : Financial Economics→General Financial Markets→Financial Forecasting and Simulation
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
R39 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Real Estate Markets, Spatial Production Analysis, and Firm Location→Other - 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)