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In this paper, the authors investigate whether coronavirus disease 2019 (COVID-19) impacts household finances, like household debt repayments in the UK.

This paper employs a vector autoregressive (VAR) model that nests neural networks and uses Mixed Data Sampling (MIDAS) techniques. The authors use data information related to COVID-19, financial markets and household finances.

The authors' results show that household debt repayments' response to the first principal component of COVID-19 shocks is negative, albeit of low magnitude. However, when the authors employ specific COVID-19-related data like vaccines and tests the responses are positive, insinuating the underlying dynamic complexities. Overall, confirmed deaths and hospitalisations negatively affect household debt repayments. The authors also report low persistence in household debt repayments. Generalised impulse response functions (IRFs) confirm the main results. As draconian measures, the lockdowns are eased and the COVID-19 shocks are diminishing, and household financial data converge to the levels prior to the pandemic albeit with some lags.

To the best of the authors' knowledge, this is the first study that examines the impact of the pandemic on household debt repayments. The authors' findings show that policy response in the future should prioritise innovation of new vaccines and testing.

The objective of this systematic literature review (SLR) is to explore the current state of research in the field of household finance (HF). This study aims to summarize the existing research to highlight the importance of household finance in a nation’s economy. By exploring all conceptual and applied implications of HF, this study projects directions for future research to develop a comprehensive understanding of the subject.

This SLR is based on 112 articles published in peer-reviewed journals between 2006 and 2020 (Table 3). The methodology comprises five steps, namely, formulation of research questions, identification of studies, their selection and evaluation, analyses and syntheses and presentation of results.

The findings of this study show that studies on HF are gradually increasing worldwide with the USA registering the highest number of published research on the topic during the period under scrutiny. Notwithstanding the increasing attention and research on HF, empirical research in emerging economies is lagging. Additionally, this study finds that HF structure presents a perfect setting to understand how households compose their financial portfolio, make financial decisions and what factors influence their decisions.

This study is an SLR – an accurate and accepted method of reviewing available literature on a selected subject. However, the selection of inclusion and exclusion criteria depends on the researchers’ rationale which might lead to research bias. This should be considered an inherent limitation of SLR.

By synthesizing the contents of extant literature, this study presents important insights into HF. This study underlines the most discussed topics in the domain and identifies potential investigation areas. This study gives the knowledge of leading articles, authors and journals and informs scholars and academicians about the areas that need further investigation by portraying the complete picture of the subject in a systematic manner. Further, this study highlights that households make suboptimal financial decisions that affect their financial well-being. To reduce the adverse impacts of these decisions, policymakers and financial institutions must take steps to improve households’ use of formal financial markets. Household decisions can be reformed by enhancing consumers’ knowledge about financial products and services. Furthermore, households can be served better by offering customization in traditional financial products.

This study synthesizes the main findings of selected literature on HF. The expansion of studies on HF has generated the need to review the existing literature in a systematic manner. To the researchers’ best knowledge, this SLR is the first thorough study of available articles in the HF domain. This study presents the scope of future research by highlighting numerous aspects and functions of HF.

The 2007–2009 financial crisis initially appeared to have destroyed a huge amount of wealth in the United States. Housing prices dropped about 21% across the country and as much as 50% in some places, and the stock market dropped by nearly 50% as well. This chapter examines how the financial crisis differentially affected households at different parts of the income and wealth distributions. Our results show that all households lost about the same percentage of their wealth in that period. But because households in the top 10% of the wealth distribution owned many different kinds of assets, their wealth soon recovered. The bottom 80% of the wealth distribution had more of their wealth tied up in housing. We show that financial distress, indexed by foreclosures, being behind in mortgage payments, and changes in house prices were particularly concentrated in households in the bottom 80% of the wealth distribution. These households lost a large part of their wealth and have not yet recovered. Households that were most deeply affected were those who entered the housing market late and took out subprime loans. African American and Hispanic households were particularly susceptible as they bought houses late in the price bubble often with subprime loans.

This study investigates the factors influencing household financial choices in Malawi. The authors also compare how household financial decisions differ in urban and rural areas.

The authors utilize the logit model to examine the factors that influence household financial decisions using the Malawi Integrated Household Survey 2019–20, while Oaxaca–Blinder decomposition is used to estimate the variations in household financial decisions between urban and rural areas.

The authors find that the likelihood of saving increases with income, secondary and tertiary education, and age. The likelihood of saving also decreases with household size and remittances. Additionally, the authors report that marriage reduces the likelihood of loans, whereas sex, age, and income raise the likelihood of loans. According to this study’s findings, income discrepancies between urban and rural samples account for most observed household financial variations. The authors also find that most of the observed variations in household financial decision-making between urban and rural households are reduced when income equality, participation in agriculture, university education, and household size are considered.

Using data from the Malawi Integrated Household Survey 2019–20, this research analyzes the components that affect household financial decisions. While most studies only look at one component of household finances, this study concurrently addresses debt and savings. The study also evaluates whether changes in the variables between urban and rural households impact those households' financing choices.

The purpose of this paper is to evaluate the relative importance of different sources of finance for agricultural and non-agricultural investments using unique Smallholder Financial Diaries collected by Consultative Group to Assist the Poor (CGAP) in Mozambique, Pakistan and Tanzania at the individual and household level.

Following the analytical framework of variance decomposition developed in Samphantharak and Townsend (2010), this study develops a method to quantify how much each cash deficit associated to investments and expenses of interest co-move with different financing sources.

This paper finds that self-finance, rather than formal or informal finance from external providers, is the main financing source for long-term and short-term smallholder agricultural investments. Further, the paper finds that the main source of self-finance varies depending on the economic opportunities faced by smallholders, with non-agricultural income as the dominant financing source for some, while agricultural income dominating for others.

Given CGAP’s Smallholder Financial Diaries is not nationally representative, research results should be interpreted carefully. However, to the best of the authors’ knowledge, this is the first paper to analyze financing sources for smallholder households making use of high frequency financial data for individuals in developing countries.

These findings imply that financial inclusion policies specifically targeting smallholders and the agricultural sector would benefit from enabling the development of an ecosystem of diverse financial services that respond simultaneously to both agriculture and non-agriculture needs.

This is paper furthers the authors’ knowledge on how smallholder households are financing their agricultural investments. Moreover, it applies methods in new ways to exploit a unique data set.

Our findings indicate that workers with more financial education were more prepared to face the negative effects on their finances from COVID. This ability reduces the probability of becoming financially fragile and experiencing financial stress.

The authors applied a survey questionnaire to 856 Colombian adults and used principal component analysis to build an index for each factor. Then, the authors used a linear regression model with the indexes to test our hypotheses and verify our results using a structural equation model.

Our findings indicate that workers who have more financial education are more prepared to face the negative effects on their finances, which reduces the probability of becoming financially fragile and having financial stress.

The authors found that there is no significant relationship between financial literacy and financial fragility, neither between financial literacy and financial stress, so a better financial education will not lower financial fragility and stress unless it is being applied by households through better financial preparedness.

It is important to highlight that the pandemic not only taught us to improve biosecurity measures but also that financial strength, ability to work remotely and income diversification were key factors in facing this adverse shock, the authors show that high levels of financial education have a positively relationship with the ability of individuals to manage their resources, so private and public institutions  have to  promote better financial education.

This is the first study that applies the four different indexes to an emerging country (i.e. Colombia), and the first one to create and use a financial stress index.

In 2020, household incomes were severely hit by the lockdowns imposed across the world in response to the COVID-19 pandemic. Using data from the last available wave of the euro-area harmonized Household Finance and Consumption Survey for 2016, this chapter documents European households’ financial resilience to this shock, based on pre-shock balance sheets, potential exposure to COVID-19, and in the absence of government interventions. The results highlight that there are large and similar shares of the population across European countries that are likely to suffer from the economic fallout of containment measures – albeit through different channels.

This study aims to explore the impact of the containment measures during COVID-19 on individuals’ finances, financial resilience during such distress and identifying the most financially vulnerable among them. Tracing such impact during the pandemic has been challenging due to a lack of representative data. This paper addresses this gap in the present study.

A survey has been conducted using a structured questionnaire containing various items that portray the impact on income, spending, saving, investment, borrowing, insurance and retirement. The sample consists of 699 respondents and purposive and snowball sampling has been used for data collection. The results are presented and analyzed using infographics and frequency distributions. This study conducts an analysis of variance and Chi-square tests for significance.

This paper finds a fall in income and limited ability to cope with the current economic conditions. The survey highlights inadequate savings and insurance, weak retirement planning, outstanding loans and under-diversified investments inhibiting financial resilience even among the higher-income group. Particularly, lower-income strata, women and not much educated are most financially vulnerable. Further, no substantial financial benefits have been received from the government and people rely on their usual income sources.

To the best of the authors’ knowledge, this is the first study that measures the pandemic’s impact on personal finances, especially in connection with a developing economy like India. Policy interventions are critical to the millions for whom financial literacy is required now more than ever.

The paper explores the potentialities for accounting research on the household, individual and family. It is suggested that the home has not been construed in accounting as an arena worthy of academic study due to the preoccupation with concerns in the glamorised and professional world of the “public”. Yet, the social and behavioural implications of the practice of accounting in the home are potentially as profound as they are in institutions which inhabit the public domain. The paper presents a series of vignettes of the manner in which issues pertaining to accounting and accountability have engaged practitioners in other disciplines. It attempts to reveal interfaces between accountants and students of the home drawn from history, law, personal finance, economics and statistics, and sociology. Argues that the accounting academy has a significant contribution to make in the “explosion” of research activity on household‐family systems in their contemporary and historical perspectives. Such participation would also enrich our understanding of accounting as a social and institutional practice.

Since finance is an efficacious instrument for economic development, social inclusion and women empowerment, the present paper examines the determinants of accessing institutional and non-institutional finance across male- and female-headed households in rural India.

Multinomial logistic regression is applied for categorizing households' accessing finance in four categories, namely Only Institutional Finance (IF), Only Non-institutional Finance (NIF), Both Sources of Finance (BF) and Neither Source of Finance (N). Both household and state-level determinants have been analysed. Household data set is sourced from the Situation Assessment Survey (NSSO, 70th round) and state-level data sets from Basic Road Statistics 2016, Agricultural Statistics at a Glance 2016, Rainfall Statistics of India 2014, database on Indian Economy RBI and Census 2011. Econometric regressions have been evaluated for female-headed households (FHHs), male-headed households (MHHs) and overall pooled households (HHs).

Four important findings emerge. First, FHHs have a lower probability of accessing IF and a higher probability of accessing NIF vis-a-vis MHHs. Second, in general, education levels, monthly household consumption expenditure, land size holding, irrigated area and penetration of scheduled commercial banks favourably influence FHHs accessing IF. Third, FHHs belonging to socially disadvantaged castes have a lower probability of accessing IF. Fourth, a substantial proportion of FHHs accesses neither IF nor NIF relative to MHHs.

The paper thoroughly addresses the issue of accessing finance by FHHs and MHHs, which will further assist policymakers in formulating holistic financial policies for rural India.

The paper recommends increasing women's access to financial services as an effective tool for reducing poverty and lowering income inequality in rural India.

This article contributes to the scant empirical literature on finance and gender.