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Níl an t-ábhar seo ar fáil i nGaeilge.

Yvonne McCarthy

20 February 2014
WORKING PAPER SERIES - No. 1639
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Abstract
The aim of this paper is twofold. First, we present an up-to-date assessment of the differences across euro area countries in the distributions of various measures of debt conditional on household characteristics. We consider three different outcomes: the probability of holding debt, the amount of debt held and, in the case of secured debt, the interest rate paid on the main mortgage. Second, we examine the role of legal and economic institutions in accounting for these differences. We use data from the first wave of a new survey of household finances, the Household Finance and Consumption Survey, to achieve these aims. We find that the patterns of secured and unsecured debt outcomes vary markedly across countries. Among all the institutions considered the length of asset repossession periods best accounts for the features of the distribution of secured debt. In countries with longer repossession periods, the fraction of people who borrow is smaller, the youngest group of households borrow lower amounts (conditional on borrowing), and the mortgage interest rates paid by low-income households are higher. Regulatory loan-to-value ratios, the taxation of mortgages and the prevalence of interest-only or fixed rate mortgages deliver less robust results.
JEL Code
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
K35 : Law and Economics→Other Substantive Areas of Law→Personal Bankruptcy Law
Network
Household Finance and Consumption Network (HFCN)
28 February 2011
WORKING PAPER SERIES - No. 1303
Details
Abstract
Using a new nationally representative survey of financial capability and experience in the UK and Ireland, I investigate the key factors that cause individuals to experience financial distress. In this context, a key area that I focus on is whether individuals
JEL Code
C25 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Discrete Regression and Qualitative Choice Models, Discrete Regressors, Proportions
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
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Conference on household finance and consumption