Household Panel Research Articles

A room of one’s own? The consequences of living density on individual well-being and social anomie

Abstract The global housing affordability crisis and COVID shutdowns have put living space inequality back on the political agenda. Drawing on Durkheim’s theory of anomie and density, this paper argues that on how many square meters a society lives matters for how stable or anomic it develops. Using data from the Swiss Household Panel, we examine the selection, short-term, and dynamic effects associated with transitions to overcrowded and under-occupied dwellings. We conceptualize these transitions as disruptive events that require a reconfiguration of personal and social equilibria in individuals’ lives. While overcrowded housing leads to a heightening of emotional states and more tense internal household dynamics, people respond by adjusting their leisure activities and restructuring their support networks from strong to weak ties. Conversely, moving to an under-occupied dwelling is associated with melancholic emotional stabilization, but improves household balance and leads to consolidation of the core network of relatives at the expense of outer social circles. We conclude that the classical characterization of anomie as a mismatch between personal means and societal ends should be understood as a multifaceted phenomenon in which meso-level social networks can be a crucial means to cope with disruptions that arise at other levels.

Move out of the land: certification and migration in China

Abstract Motivated by the emphasis on securing property rights as an important tool for the efficient allocation of resources, including land and labour, we use three rounds of China Rural Household Panel Survey data to assess the impact of a land certification programme (LCP) on the labour and land allocation in rural China. We find that the LCP results in increased rural–urban migration, more active land rental markets, as well as higher household income and consumption in rural China. These effects vary with age and are larger for younger individuals and households with heads aged 50 years or younger. Improving property rights could be a central task for the Chinese government to tackle issues related to labour and land misallocation.

Digital Financial Inclusion and Inclusive Growth ––Empirical evidence based on the China Household Panel Survey

As an innovation in traditional inclusive finance, digital inclusive finance is an important way to coordinate the income gap between urban and rural areas, popularize financial products and services, and promote the digitalization process. Therefore, this study matches the digital inclusive finance index with the Chinese household tracking survey, uses a panel data econometric model, a mediation effect model, and a moderation effect model to control for the characteristics of heads of households and families, and explores the impact mechanism of the development of digital inclusive finance on inclusive growth in urban and rural areas in China, with a view to providing a scientific basis and policy suggestions for promoting inclusive growth. The study finds that: First, digital inclusive finance has a significant income-increasing effect on both urban and rural households, among which it has a greater impact on rural households, which is conducive to narrowing the income gap between urban and rural areas; Second, digital inclusive finance improves rural household income and narrows the income gap between urban and rural areas by promoting rural household entrepreneurship and business activities and alleviating the formal credit constraints of rural households; Third, digital inclusive finance can generally promote families with access to the Internet, a strong ability to use digital tools, and small information constraints to start businesses and obtain formal credit. This study innovatively incorporates entrepreneurial quality into the research of the transmission mechanism; three theories of the "digital divide" are put forward and tested. Research value: Clarifying the transmission mechanism of digital inclusive finance to promote inclusive growth, and providing policy suggestions for the development of digital inclusive finance.

The dynamic effects of becoming disabled on work, wages and wellbeing in the UK from 1991 to 2018

Abstract Over recent decades it has consistently been shown that disabled adults in the UK fare worse in the labour market and have lower levels of wellbeing than non-disabled adults. However, this is in part due to the selection into dis-ability of those with existing socio-economic disadvantages. In this article, we use panel data from the combined British Household Panel Survey and Understanding Society, covering the 27 years from 1991 to 2018, to distinguish between the effect of selection, the effect of dis-ability onset and the effect of dis-ability duration on a range of labour market and wellbeing outcomes. We show that there is important selection both into dis-ability and into longer experience of dis-ability on the basis of observable characteristics. We also show the importance of controlling for time-invariant unobservable individual characteristics that similarly affect selection into dis-ability and duration of dis-ability. Even after controlling for both forms of selection, we find significant negative effects of dis-ability onset and duration, and offer policy solutions to address them.

Conflicts, crop choice, and agricultural investments: Empirical evidence from Nigeria

Conflict remains a major driver of poverty in Africa. Conflicts and political instability in the region have been increasing recently and are drawing more attention in public discourse. While it is widely acknowledged that conflicts disrupt agricultural production and food systems, the full extent of the damage inflicted on the lives and livelihoods of farming households and the mechanisms to redress this harm remain poorly understood. In particular, the link between violent conflicts and households’ land allocation and related agricultural investment decisions remains understudied. In this study, we use geocoded longitudinal data along with detailed agricultural panel household surveys in Nigeria to assess the impact of violent conflicts on crop choice decisions and related agricultural investments. Specifically, we explore how farmers’ land allocation and agricultural investment decisions relate or respond to the outbreak and intensity of violent conflicts. We find that violent conflicts are associated with a reduction in the share of both land area cultivated and area harvested. We also find suggestive evidence that violent conflicts may shape farmers’ crop choices and related investments, as violent conflicts are associated with reduction in the share of land allocated to long-term crops (e.g., perennial crops, trees, roots and tubers). Overall, our findings suggest that violent conflicts can negatively influence farmers’ agricultural investments directly by affecting both land utilization patterns and portfolio allocation across activities with varying returns to investments.

Smallholder RSPO certification, economic benefits and agrochemical use

Abstract Sustainability standards, such as the Roundtable for Sustainable Palm Oil (RSPO), can potentially mitigate the trade-offs between economic benefits and environmental harm of oil palm expansion. Using unique primary household and farm level panel data collected from Jambi Province, Indonesia, we first document the differences in agricultural inputs and outputs between certified and non-certified smallholder farmers. Second, we illustrate the potential implications and mechanisms of certification. In this study, therefore, we aim to first document agricultural input and output differences between certified and non-certified smallholder farmers, second to illustrate potential effects of certification with observational data and third to provide guidance for future rigorous causal analyses. We find generally positive correlations between RSPO certification, land productivity, profits, and fertilizer use, and a negative correlation with toxic herbicide use. However, we do not find price premiums for RSPO-certified farmers. Overall, the results of this study are indicative of potentially modest effects of RSPO-certification that may operate through higher productivity due to improved management practices that remain agrochemical intensive but avoid some particularly harmful chemicals. Our findings are relevant to better understand the strong sustainability claims of RSPO marketing and to provide guidance for rigorous causal experimental and quasi-experimental studies.

Using Survey Data to Estimate Intergenerational Mobility in Income and Education in Portugal

AbstractPrevious studies about intergenerational mobility for the Portuguese economy find that education and income persistence is very high in comparison with other developed economies. We construct relative, absolute, global and local measures of mobility for Portugal, comparing them with existing evidence for this and other countries. These are the intergenerational income elasticity (computed using the two-sample two-stage least squares method), income correlation, rank-rank slope, bottom to top income level probability, the share of individuals earning more than their fathers and also the intergenerational education correlation, the low to high education level probability, and the share of individuals with a higher education level than their fathers. We consider the 1968–1988 cohorts and the 1995 and 2019 waves of the European Community Household Panel and the European Union Statistics on Income and Living Conditions, respectively. Overall, based on the point estimates, women seem to present more mobility in income. Upward income mobility is verified at the bottom while persistence exists at the top. Women present a greater absolute educational mobility. More than 80% of individuals have a higher education than their fathers and full upward education mobility exists for children of low-educated fathers. Mobility in education is higher for the offspring of medium–high-income fathers. Individuals with a high education level, in the medium–high income level or with occupations requiring a higher education level show higher mobility.

Estimating poverty for India after 2011 using private-sector survey data

The last expenditure survey released by India’s National Sample Survey organization dates back to 2011, which underpins the last official estimates of poverty and inequality. This paper adopts a new approach to estimate India’s poverty and inequality trajectory since 2011 using a newly available household panel survey conducted by the private sector. The results suggest that (1) extreme poverty is estimated to be lower in 2019 than in 2011, with greater poverty reductions likely in rural areas, and (2) coinciding with the demonetization event, urban poverty likely rose in 2016. The results should not be interpreted as definite proof. While the estimated trends in poverty sit well with a range of corroborative evidence, significant uncertainty remains stemming from sampling and non-sampling errors associated with the private-sector survey.

Madagascar rural observatory surveys, a longitudinal dataset on household living conditions 1995-2015.

A Rural Observatory System (ROS) was established in Madagascar to address the lack of socioeconomic data on rural areas. It collected, analyzed, and disseminated data to help formulate and evaluate development policies. From 1995 to 2015, the ROS surveyed a total of 26 areas. The ROS methodology involved annual household panel surveys using consistent questionnaires supplemented by modules covering new themes. Qualitative community surveys were used to understand local features and dynamics. The site selection combined quantitative and qualitative insights to reflect the diversity of Madagascar's rural challenges. Quality control was comprehensive, with measures such as limiting the number of daily surveyor interviews and daily field supervision. By making this data available for 21 consecutive years, along with documentation, metadata, and code with analysis examples, we aim to facilitate their discovery, assessment, and understanding by researchers, policymakers, and social organizations. To our knowledge, this is the only available data for an in-depth analysis of the situation and trends in the rural areas of Madagascar.

The Shadow Prices of Voluntary Caregiving: Using Well-Being Panel Data to Estimate the Cost of Informal Care

Abstract This article uses the well-being valuation (WV) approach to estimate and monetize the well-being impacts of informal care provision on caregivers. Using nationally representative longitudinal data from the UK, the British Household Panel Survey, we address two challenging methodological issues related to the economic valuation of informal care: (i) the anticipatory nature of informal care; and (ii) the sensitivity of income estimates used in valuation. We address the anticipatory issue by focusing on well-being impacts associated with caring for a relative who had recently suffered a serious accident. We use the fixed effects filtered (FEF) estimator to estimate a “time-invariant income” coefficient free from individual fixed effects bias, which helps to partially improve the quality of the income estimate as an alternative to using instrumental variables. This estimate is used in the calculation of shadow prices of informal care. Our estimates suggest that, focusing on the first year of unanticipated care provision, those experiencing the well-being losses from providing unanticipated informal care would be willing to pay approximately £13,167 on average to avoid it.

Class experiences and the long-term evolution of economic values

Abstract While there is a strong cross-sectional association between social class and political attitudes, recent research—based on longitudinal data—finds that changes in class are, at most, weakly related to changes in such attitudes. One common explanation for this finding is that early life socialization affects both social class and political attitudes and that class has little, if any, direct effect on them. In this manuscript, we explore an alternative explanation that centers on the importance of cumulative class experiences for the long-term evolution of attitudes. To evaluate this perspective, we leverage data from the British Household Panel Survey, which contains measures of economic values that span up to 16 years, as well as complete work-life histories of respondents that allow us to track individual class experiences over people’s life span. Our findings show that cumulative class experiences are strongly associated with the development of economic values.

Census Bureau Household Panel

The Census Bureau Household Panel is a nationally-representative, address-based, probability-based internet panel (including non-internet households) designed to improve representativeness, significantly reduce burden on sampled households, and promote high-frequency data meeting the immediate needs of the government and public. The Panel facilitates near real-time analysis of national events that may impact social, economic, or demographic characteristics of the population. It supports research to improve surveys, including testing content changes, alternative methods for enhancing data with administrative and other data sources, and adaptive survey design procedures.

Modernizing the U.S. Census Bureau’s Demographic Programs

The U.S. Census Bureau is modernizing its approach to producing demographic data to more effectively and efficiently meet the growing demand for high quality, comprehensive, and timely official statistics. This panel introduces four transformation efforts: the Demographic Frame, National Experimental Wellbeing Statistics (NEWS), and the Census Household Panel.

Joint modeling of mixed skewed longitudinal responses using convolution of normal and log-normal distributions: a Bayesian approach

This paper investigates the joint modeling of mixed ordinal and continuous longitudinal responses using a random effects model and applying a conditional approach. For the ordinal responses, a latent variable model with a logistic distribution is employed. To address skewness in the data, the model incorporates normal and log-normal convolution (NLNC) for both the error term and the random effects in the longitudinal model. Parameter estimation is carried out within a Bayesian framework using Gibbs sampling. The performance of the proposed model is evaluated through simulation studies, comparing it to joint models of mixed ordinal and continuous longitudinal responses assuming skew-normal or normal distributions. The results indicate that joint models using skew-normal or normal distributions can lead to biased parameter estimates, whereas the NLNC joint model performs better overall. Additionally, the proposed method is applied to analyze data from the British Household Panel Survey (BHPS), using life satisfaction and annual income as the correlated ordinal and continuous longitudinal responses, respectively, with annual income showing significant skewness. The results demonstrate that the proposed model provides the best fit for capturing the substantial skewness in the data.

Smallholder access to purchased seeds in the presence of pervasive market imperfections and rainfall shocks: panel data evidence from Malawi and Ethiopia

Seed purchasing enables farmers to respond to adverse events that may cause chronic and temporary seed insecurity by allowing them to exploit opportunities associated with accessing new seeds. However, as with other inputs, seed purchasing is complicated by pervasive market imperfections and climate risk common in Sub-Sahara Africa. This study uses balanced household panel data for Malawi (2010–2018) and Ethiopia (2012–2016) and applies dynamic random effects Probit and Tobit models to assess how seed purchase decisions are affected by earlier participation in the market, lagged rainfall shocks, and historical climate variables. Our findings show that there are nonlinear effects of lagged seed purchase decisions on subsequent decisions with strong initial effects (weakening over time). For instance, initial maize seed purchase decisions are associated with about 11 and 22% higher probability of purchase and 1 and 2% higher shares of seed volumes purchased in later rounds in Malawi and Ethiopia, respectively. Seed purchase decisions also respond to climate variability and shocks. For instance, lagged drought shocks enhance subsequent maize purchase decisions in both countries. Historical average rainfall and temperature enhance maize seed purchase decisions in both countries. Overall, results point to state dependency on the demand side of the seed market, leading to selective access to purchased seeds. Also, seed purchase in smallholder farming is a liquidity and risk-dependent input choice. Policy efforts need to continue targeting reducing transaction costs and other barriers to entry into seed markets to enhance access to off-farm seed and support adaptation to rainfall shocks.

Assessing the parental SES gradient in young Britons' partnership expectations, attitudes and its potential mediators.

A well-documented trend in family demography is that young adults from disadvantaged backgrounds tend to enter their first partnership earlier and forego marriage more often than their advantaged counterparts. Yet, limited research has explored whether there is also an association between parental background and expectations for partnership formation, which are considered important precursors of behaviours. Further, few studies have explored the potential mechanisms mediating these differences. This paper uses data from the British Household Panel Survey and Understanding Society to analyse the relationships between parental socioeconomic status and young Britons' expectations for marriage, cohabitation, and attitudes towards ideal age at marriage. Using the KHB decomposition as a mediation method, we verify whether these relationships are explained by two mechanisms measured during the young adults' adolescence: family structure socialisation and academic socialisation. We find that marriage expectations are socially stratified in the UK. Those from the least advantaged backgrounds have significantly lower expectations for marriage than the most advantaged, but this difference does not hold for cohabitation. Those from the least advantaged backgrounds are also more uncertain about their ideal age at marriage. Academic socialisation mediates these relationships to a limited extent. Family structure socialisation mediates a greater percentage, especially living with a single parent, rather than married parents, during adolescence.

Measuring gendered values of time for married couples by life stage based on an intertemporal household utility-maximization model

We investigate the value of time as a resource (VOTR) and the value of childcare time saving (VOCTS) for a married couple with children by life cycle stage. Extending the framework of DeSerpa (1971), we develop a novel intertemporal utility-maximization model that can represent trade-offs within an individual and within a couple between different activities in their life stages based on a household lifetime equilibrium, and we derive wives’ and husbands’ time values when their first child is of pre-school age and after their first child reaches school age. Applying the model to the 2004–2018 Japan Household Panel Survey, we analyze couples in two life stages to empirically find the value of time by gender. The results show that the wives’ average VOTR is greater than 4400 yen/hour with statistical significance when their first child is of pre-school age; the value, however, drastically drops to around 400 yen/hour with statistical insignificance after their first child reaches school age. Conversely, the magnitudes of the husbands’ VOTRs do not change much in different life stages. In the background mechanisms, the wives’ high and low VOTRs reflect their short and long work and commute hours, respectively, whereas the husbands reduce their work and commute hours only slightly over time. For the dual-income households that only spend the minimum required time on childcare, VOCTS is statistically insignificant when their first child is of pre-school age but is greater than 28,000 yen/hour after their first child reaches school age. Using the estimated time values for urban and transport policy simulations, we find that enabling work flexibility could help households increase welfare more compared to transportation improvement and childcare support services.

Cross-country price dispersion: Retail network or national border?

Why do prices differ among regions without significant trade frictions, such as the euro area? This study examines the impact of a national border on grocery prices in the economically and culturally integrated German–Austrian border region. Based on retail transactions from a large household panel, we analyse price differences of identical products sold within a narrow band along the border. We show that even retailers operating in both countries charge different prices for identical products on each side of the border. Over all products, prices are on average more than 14% higher on the Austrian side. The underlying absolute price differences average to around 20%, but vary over products and time, suggesting limits to arbitrage in cross-border shopping. This study demonstrates that even in highly integrated areas, national borders continue to matter for retail pricing.

Germany under the Tinfoil Hat? The associations of the big five personality traits and coronavirus conspiracy beliefs with the intention to get vaccinated

BackgroundThe governments of democracies worldwide are relying on the active cooperation of their populations to combat COVID-19. Simultaneously, beliefs in conspiracy theories surrounding the pandemic have flourished. The present article examines the effects of the big five personality traits and conspiracy beliefs on the intention to get vaccinated against COVID-19 in Germany. MethodsThis correlational, cross-sectional mediation analysis was conducted using data from a nationwide German household panel (N = 1390). ResultsOpenness to experience (β = −.082, p = .004) and neuroticism (β = .112, p < .001) showed direct effects on conspiracy beliefs, while conspiracy beliefs had the strongest effect on vaccination intention (β = −.424, p < .001). Indirect positive effects of openness (β = .035, p = .005) and negative effects of neuroticism (β = −.047, p < .001) on the intention to get vaccinated via conspiracy beliefs were identified, with a mediation in the strict sense only for openness. No direct or total effect of the big five on vaccination intention could be found. ConclusionsThe big five personality traits are associated, although indirectly, with the intention to be vaccinated. Compared with similar studies on the effects of the big five on COVID-19-related outcomes, we found slightly higher proportions of explained variance in conspiracy beliefs and significantly higher explained variance in vaccination intention. In order to increase the willingness to be vaccinated, targeted and nationwide uniform information measures should be provided addressing feelings of security, of not being excluded, and the activation of critical reasoning.

Overview of Available Functioning Data in Switzerland: Supporting the Use of Functioning as a Health Indicator Alongside Mortality and Morbidity.

To identify official sources that routinely collect data on functioning in Switzerland, to provide an overview of the existing data and its comparability, and to assess the extent to which the data is suitable for developing a functioning metric and indicator. Data sources were identified through an iterative search. Standardized rules were applied to map the functioning information assessed by the sources using a current WHO functioning and disability survey as a reference framework for the content comparison. Four sources were identified: the Swiss Survey of Health, Ageing and Retirement in Europe (SHARE), the Swiss Health Survey (SHS), the Lausanne cohort 65+ (Lc65+), and the Swiss Household Panel (SHP). All tools addressed sleep functions, energy level, emotional functions, and sensation of pain. Additionally, nine functioning categories were common across three sources. Population data sources in Switzerland routinely collect comparable functioning data, which can serve as the basis for creating a functioning indicator. Among others, this indicator is relevant to complement mortality and morbidity data and to support both the estimation of rehabilitation and long-term care needs.