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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.

Crossing borders, be it international or regional, often go togther 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 av-erage (median) net wealth difference is estimated to be €367,000 (€129,000) and increases for higher percentiles. Using several different regression and decomposition techniques, spatial (regional) dif-ferences in real estate price developments, and thus differences in accumulated nominal capital gains are shown to be one main driving factor for these wealth differences. Other factors contribut-ing to the observed wealth differences are differences in age, income, education and other house-hold characteristics.

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.

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.

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 €925 million per annum in Luxembourg, reflecting about 17% of their gross annual income from Luxembourg and contributing about 10% to total household final consumption expenditure in Luxembourg. Cross-border consumption expenditure is shown to depend on individual and household characteristics, such as total household income, the number of cross-border commuters in the household, distance between home and work, as well as price level (index) differences between Luxembourg and its neighbouring countries. Cross-border commuters take advantage of existing arbitrage opportunities.

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 €367,000 (€129,000) and increases for higher percentiles. Using several different regression and decomposition techniques, spatial (regional) differences in real estate price developments, and thus differences in accumulated nominal capital gains are shown to be one main driving factor for these wealth differences. Other factors contributing to the observed wealth differences are differences in age, income, education and other household characteristics.

This paper analyses the existence of an immigrant/native wealth gap by using household survey data for Luxembourg, Germany and Italy. The results show that, in all three countries, a sizeable wealth gap exists between natives and immigrants. Towards the upper tail of the wealth distribution the gap narrows to a small extent. This gap persists even after controlling for demographic characteristics, country of origin, cohort and age at migration although cross-country differences exist in the immigration penalty. JEL Classification: D31, F22