Search results

The 1950s was characterised by pronounced stability of the banking sector in many countries, which the existing literature has attributed to tight regulation. However, other factors than regulation are important for financial stability. The purpose of this paper is to consider the case of Denmark and investigate whether the absence of banking crises was due to robustness of the banking sector’s customers rather than tight regulation.

The paper analyses the resilience of Danish wage and salary earners to adverse economic shocks in the 1950s based on household-level data on income, consumption, savings and wealth from the Danish Expenditure and Saving Survey of 1955.

The paper finds that the Danish household sector in the 1950s had a high debt payment ability and was very robust to even large income shocks. The results indicate that the stability of the Danish financial sector was not only due to tight regulation but also reflected a high credit quality of the banking sector’s loan portfolio.

During the past decade or so, a micro-data-based framework has become the “state of the art” approach among central banks to analyse the financial robustness of the household sector. However, such an approach has so far not been applied in studies on historical financial-stability issues. The paper adds to the literature by using granular household-level data to assess the financial resilience of the Danish household sector in the 1950s.

The purpose of this study is to explore the impact of household leverage on consumption in Denmark during the Great Depression in the 1930s.

A range of consumption functions are estimated on the basis of household-level data from the Expenditure and Saving Survey of 1931.

The estimations show significant negative marginal effects of various measures of leverage on homeowners’ non-durable consumption. The magnitude of the estimated effects suggests that leverage contributed significantly to the economic downturn during the Great Depression by depressing consumer spending of homeowners.

Gross debt levels of homeowners are not only of direct importance for financial stability but also have implications for macroeconomic stability, which again might affect the stability of the financial system. These findings seem to be in line with the focus on household leverage in the macroprudential oversight performed by regulators and central banks in many countries.

This paper is the first study of the leverage channel in the private consumption function using household micro data from the Great Depression.

This paper produces a comprehensive assessment of income redistribution to the working-age population, covering OECD countries over the last two decades. Redistribution is quantified as the relative reduction in market income inequality achieved by personal income taxes (PIT), employees’ social security contributions, and cash transfers, based on household-level micro-data. A detailed decomposition analysis uncovers the respective roles of size, tax progressivity, and transfer targeting for overall redistribution, the respective role of various categories of transfers for transfer redistribution; as well as redistribution for various income groups. The paper shows a widespread decline in redistribution across the OECD, both on average and in the majority of countries for which data going back to the mid-1990s are available. This was primarily associated with a decline in cash transfer redistribution while PIT played a less important and more heterogeneous role across countries. In turn, the decline in the redistributive effect of cash transfers reflected a decline in their size and in particular by less redistributive insurance transfers. In some countries, this was mitigated by more redistributive assistance transfers but the resulting increase in the targeting of total transfers was not sufficient to prevent transfer redistribution from declining.

The impact of the “Great Recession” on inequality is unclear. Because the crises in the housing and stock markets and mass job loss affect incomes across the entire distribution, the overall impact on inequality is difficult to determine. Early speculation using a variety of narrow measures of earnings, income, and consumption yield contradictory results. In this chapter, we develop new estimates of income inequality based on “more complete income” (MCI), which augments standard income measures with those that are accrued from the ownership of wealth. We use the 1989–2007 Surveys of Consumer Finances, and also construct MCI measures for 2009 based on projections of assets, income, and earnings.

We investigate the level and trend in MCI inequality and compare it to other estimates of overall and “high incomes” in the literature. Compared to standard measures of income, MCI suggests higher levels of inequality and slightly larger increases in inequality over time. Several MCI-based inequality measures peaked in 2007 at their highest levels in 20 years. The combined impact of the Great Recession on the housing, stock, and labor markets after 2007 has reduced some measures of income inequality at the top of the MCI distribution. Despite declining from the 2007 peak, however, inequality remains as high as levels experienced earlier in the decade, and much higher than most points over the last 20 years. In the middle of the income distribution, the declines in income from wealth after 2007 were the result of diminished value of residential real estate; at the top of the distribution, declines in the value of business assets had the greatest impact.

We also assess the level and trend in the functional distribution of income between capital and labor, and find a rising share of income accruing to real capital or wealth from 1989 to 2007. The recent economic crisis has diminished the capital share back to levels from 2004. Contrary to the findings of other researchers, we find that the labor share of income among high-income groups declined between 1992 and 2007.

By the mid-1990s the potential and usefulness of microsimulation models for researching tax-benefit systems had found widespread acceptance. Nevertheless, models were not widely available for independent or academic research in all countries of the European Union (EU). Even more important, carrying out consistent comparative tax-benefit microsimulation analysis was still an apparently impossible task. The time seemed ready for a European-Union-wide tax-benefit microsimulation model. Such a model, EUROMOD, is now available.

This chapter is devoted to a short introduction to EUROMOD, including the reasons why it was built, its added value compared to existing models, the trade-offs faced by its builders and lessons that have been learnt from developing such an integrated model. Moreover, it aims to provide an insight into the wide range of possible applications of EUROMOD, underlined by summarizing some indicative findings of studies, which have used the model.

Compared to other neighbouring South Asian countries, Sri Lanka performs well in terms of education outcomes. Education is provided by the government for free from primary school level to the first-degree University level, yet households’ private education expenses are steadily increasing over time. Thus, this paper analyses trends and determinants of household private education expenditures using the country-wide micro-data from 1990 to 2013.

Using Household Income and Expenditure Survey (HIES) 1990/91, 2002 and 2012/13 data along with annual school census data, this paper examines the relationship between private education expenditure patterns and the observed changes of reported both demand-side and supply-side factors. In particular, the present paper analyses determinants of household private education expenditures within the two-part model econometric framework by taking into account location and time fixed-effects.

The results show that trend of spending privately for education is increasing over time with rising household income. Rural, Tamil and Islamic households and those headed by less-educated members are less likely to spend privately for education. The results also confirm that improved-supply-side factors can significantly lower the household burden arising from out-of-pocket education expenditure.

Unavailability of panel data and missing data on several districts due to security concerns are limitations of the study.

The trend of increasing private education expenses has implications on equity concerns of education in Sri Lanka, and it can undermine the purpose of free public education policy.

To our knowledge, this is the first study for Sri Lanka that examines patterns and determinants of private education expenditures using nationwide data for last two decades. This paper applies novel econometric techniques to account for various issues in household survey data analysis.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2019-0445

The purpose of this paper is to explore the long‐run relation and short‐run dynamic correlations between consumption expenditure and household wealth, namely housing wealth and stock wealth.

This paper adopts aggregate time‐series data over the period of 1981Q1‐2010Q4 in Hong Kong. It employs the ARDL to cointegration procedure and the multivariate stochastic volatility (MSV) model to investigate the long‐run elasticity and dynamic correlations between aggregate consumption expenditure and household wealth indicators.

The results suggest that both housing wealth and stock wealth have significant effects on consumption expenditure after controlling for the aggregate income level. The long‐run elasticity of consumption expenditure with respect to housing wealth and stock wealth are 0.3877 and 0.1424 respectively, while the marginal propensity to consume for housing wealth and for stock wealth are 0.2159 and 0.0266 respectively. The dynamic correlation analysis implies that the decrease in housing and stock wealth may further depress consumer behavior and economic condition during the post‐financial crisis period.

This paper provides useful information with regard to the long‐run and dynamic relations between consumption and different types of wealth components.

The purpose of this paper is to identify the main determinants of the probability of a household being poor, middle class, or rich.

A new and integrated approach to the measurement of inequality in income distribution, poverty, and richness was recently proposed. Based on that approach and considering data for the Portuguese economy, the authors estimate a multinomial model in order to identify the main determinants of the probability of a household being poor, middle class, or rich using a set of characteristics of the households and the household's individual of reference as explanatory variables.

The evidence obtained indicates that: the determinants of poverty and richness are similar in qualitative terms; and household type, main source of income, education, and labor market state are the most important factors explaining these phenomena.

Following a methodology recently proposed by Crespo et al. toward an integrated measurement of inequality, poverty, and richness, the present study contributes to this line of research by using a micro‐econometric model applied to the Portuguese economy in order to identify the determinants of poverty and richness.

This chapter investigates to what extent the tax and transfer systems in Europe protect households at different income levels against losses in current income caused by economic downturns like the present financial crisis. We use a multi-country microsimulation model to analyse how shocks on market income and employment are mitigated by taxes and transfers. We find that the aggregate redistributive effect of the tax and transfer systems increases in response to the shocks. But the extent to which households are protected differs across income levels and countries. In particular, there is little stabilization of disposable income for low-income groups in Eastern and Southern European countries.