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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 results and recommendations will have a paramount significance for policymakers, policy advocates, development planners and practitioners who may be in need of such information for reconsideration, evaluation and inclusion into their respective development and humanitarian programming and operational strategies. Above all, the study result has further provided the local community with viable adaptation strategies to climate-induced changes in the study area.

This study was conducted to measure the livelihood vulnerability of Borana pastoralists to climate change and variability in southern Ethiopia. Pastoralists’ households were sampled using multistage sampling techniques. A total of 27 socio-economic and biophysical indicators were used to reflect vulnerability components: adaptive capacity, exposure and sensitivity. Principal component analysis was used to develop weights for indicators and to produce livelihood vulnerability index to classify households according to their level of vulnerability. Ordinal logistic regression was used to identify the determinants of vulnerability to climate-induced stresses.

The results showed that 24.4% of households were highly vulnerable, 60.3% were moderately vulnerable and 15.3% of households were less vulnerable to climate-induced stresses. Factor estimates of the logistic model further revealed that early warning information, bush encroachment, coping strategy, temperature, drought frequency, provision of humanitarian services and food shortage during the normal season of the year have a significant influence on vulnerability in the study area.

The study’s results and recommendations will be of great significance to policymakers, development planners, and practitioners who require such information for reconsideration, evaluation, and inclusion in their respective development and humanitarian program and operational strategies. Most importantly, the study’s findings have provided the local community with practical adaptation strategies to climate-induced changes in the study area.

The study explored pastoralist perception of climate change and variability and measured the livelihood vulnerability of pastoralists’ households to climate change and variability and finally investigated viable adaptation and coping strategies in the study area.

Italy has become a migrant receiving country and it has to face with the problem of social inclusion of immigrants. The purpose of this paper is to measure the gap on poverty and deprivation between immigrants and natives since manifest conditions of both of them are an important signal, although not exclusively, of social exclusion.

Poverty analysis typically relies on a single monetary variable such as income and it is characterized by a simple dichotomization of the population into poor and non-poor. In this paper the authors stress the importance of using a multidimensional and fuzzy approach in order to study disparities between immigrants and natives. The authors cover several of the multifaceted aspects of resources necessary to maintain adequate living standards in a developed country. With the fuzzy methodology, the authors also overcome any limitation of the conventional approach based on the simple dichotomization of the phenomenon.

The empirical analysis is based on data from two official surveys. The authors find that between Italian and immigrant households there are significant differences in poverty and deprivation levels, with a strong disadvantage for the latter. The authors argue that any serious attempt to reduce poverty and deprivation must now include comprehensive reforms in the nation's immigration policies if they are to be taken seriously.

The paper makes an original contribution to the understanding of inequality between immigrants and natives, by studying a complex phenomena such as poverty and deprivation in a multidimensional perspective using a fuzzy approach.

This paper aims to investigate farmers’ vulnerability to climate change and variability in the northern region of Ghana.

The study assessed the vulnerability of male-headed and female-headed farming households to climate change and variability by using the livelihood vulnerability index (LVI) and tested for significant difference in their vulnerability levels by applying independent two-sample-student’s t-test based on gender by using a sample of 210 smallholder farming households.

The results revealed a significant difference in the vulnerability levels of female-headed and male-headed farming households. Female–headed households were more vulnerable to livelihood strategies, socio-demographic profile, social networks, water and food major components of the LVI, whereas male-headed households were more vulnerable to health. The vulnerability indices revealed that female–headed households were more sensitive to the impact of climate change and variability. However, female-headed households have the least adaptive capacities. In all, female-headed farming households are more vulnerable to climate change and variability than male-headed farming households.

The study recommends that female-headed households should be given priority in both on-going and new intervention projects in climate change and agriculture by empowering them through financial resource support to venture into other income-generating activities. This would enable them to diversify their sources of livelihoods to boost their resilience to climate change and variability.

This is the first study that examined the gender dimension of vulnerability of smallholder farmers in Ghana by using the livelihood vulnerability framework. Female subordination in northern region of Ghana has been profound to warrant a study on gender dimension in relation to climate change and variability, especially as it is a semi-arid region with unpredictable climatic conditions. This research revealed the comparative vulnerability of male- and female-headed households to climate change and variability.

From the perspective of housing affordability, Portugal is an interesting case study, considering that Portugal ranks 5th in terms of price-to-income ratio and has experienced, since 2015, a significant increase in real estate prices.

The provision of housing is a critical social development factor. With the growing worldwide urbanization and the demand pressure over real estate in many cities, the problem of affordability has gained increase attention by policy makers. Housing affordability is hardly a new topic from a literature perspective, but the recent post-pandemic worldwide inflation growth has re-centered affordability as key topic in the housing agenda. This paper provides a comprehensive overview on past literature and a detailed analysis on the Portuguese market at the municipal level, by analyzing the changes in housing affordability in recent years.

Despite this growth, overall, affordability has improved. The study also shows the importance of municipal-level analysis, given the significant geographical differences. The authors' study confirms that many municipalities, outside metropolitan areas, exhibit low levels of affordability. Nevertheless, markets with higher average real estate values tend to exhibit even lower affordability, outpacing the higher levels of income.

Previous studies have focused on affordability issues on a national or highly aggregated level or focusing only on the two largest metropolitan areas in the country. This paper provides a deeper understanding on the inequalities of housing affordability between Portuguese municipalities.

The study covers two different forms of financial support for households, income support for single parents and reimbursements for depression medicines, and explores their relationships with the demand for child protection services.

The data were retrieved from the Sotkanet, the Finnish Indicator Bank, and included 292 Finnish municipalities. It was hypothesised that the effect of income support for single-parent households on the need for child protection is mediated by reimbursements for depression medicines. The hypotheses were tested by using a conditional process analysis program, PROCESS (Model 4).

It was found that income support reduces the proportion of reimbursements for depression medicines in a municipality, which in turn reduces the need for child protection services. At the level of social policy, the study tentatively suggests that the social welfare system may affect the demand for child protection by investing in income support for single-parent households.

The choice of variables does not fully explain the effect of the mechanism. The relationships that are found in this study can have hidden factors which affect them. Further, the data have only 292 cases, which is quite a small sample, and is limited to Finland.

The study suggests that the social welfare system may affect the demand for child protection by investing in income support for single-parent households.

Poverty is one of the most significant economic and social problems that European countries have to face. In recent years, it has become widely accepted that poverty is a multidimensional concept and now many studies use indicators of deprivation to examine the phenomenon. The focus on financial resources alone does not capture people’s quality of life as being poor means a lack of access to resources enabling a minimum standard of living and participation in the society within which one belongs. The paper aims to discuss this issue.

Using a longitudinal component (2006-2010) of EU Statistics on Income and Living Conditions data on 26 European countries, the author apply a second-order confirmatory factor analysis to estimate deprivation. To describe the patterns of change over time and to evaluate the role of household characteristics in deprivation level, the author employ a set of multilevel growth curve models.

Three findings clearly stand out from my analysis. First, there is great variability in deprivation between European countries. Second, European countries show various patterns of change in deprivation over time. Third, households with different characteristics have quite different deprivation levels; moreover, the impact of household characteristics on deprivation can vary over time and between countries.

This paper sheds light on the importance of analysing deprivation from a longitudinal perspective and that financial resources alone does not capture people’s quality of life.

Looking at the Jewish population in Israel in 1995 this paper compares three multidimensional approaches to poverty measurement and checks to what extent they identify the same households as poor. Logit regressions are then estimated to understand which variables have an impact on poverty. Finally, the so-called Shapley decomposition is introduced to estimate the exact marginal impact of these determinants of poverty.

Of particular interest to this study was the combined effect of the generation to which the head of the household belongs and his/her place of birth. It turns out that the ethnic origin has a significant impact on multidimensional poverty in Israel insofar as being a head of household born in Asia or Africa, whatever the generation to which one belongs, increases, ceteris paribus, the probability of being poor.

The purpose of this paper is to analyze whether and to what extent households living in southern Europe, i.e. Greece, Portugal, Spain and Italy, experience similar conditions of financial vulnerability, considering that in comparative research these countries are often grouped together because of the substantial instability of their economies and the similarity of social and welfare model.

The authors use data from Household Finance and Consumption Survey, a quite novel data set that covers the whole balance sheet of a sample of households. The authors compute four indicators of debt burden and in order to study households’ risk of default the authors apply two-part model, which is a valuable alternative to the application of conventional regression models with zero-inflated data.

Analysis reveals that the burden of debts and the risk of default are very different among the four countries, in particular Spain and Portugal have the highest proportion of financially vulnerable households.

The study is one a few that have directly compared objectives indicators of households’ financial vulnerability in all Southern European countries. Moreover, the authors employ a two-part model, a valuable alternative to the application of conventional logit or linear regression models. In the first part of the model the authors estimate the probability that households suffer financial vulnerability; in the second part, the authors estimate households’ level of vulnerability only for vulnerable families.