Changes In Income Research Articles

The changing association between pandemic-related stressors and child and adolescent mental health during the waning phase of the COVID-19 pandemic

This study examined the relation between pandemic-related stressors and mental health among young people (YP) in India during two time points in the waning phase of the pandemic. We use data from two cross-sectional waves of over 20,000 YP aged 5–19 in February 2022, during the peak of the Omicron wave, and October 2022, during a reduction in infections and easing of restrictions. COVID illness/death in the family’s social network, current lockdown stringency, and significant change in household income were examined in relation to adult respondents’ reports of YP internalizing symptoms. Internalizing symptoms declined slightly from February to October 2022. COVID-19 illness/death in the family’s network was generally associated with more internalizing symptoms. Higher lockdown stringency was associated with lower levels of internalizing symptoms. YP in households with increases in income tended to have more internalizing symptoms. Many associations were driven by older adolescents and were stronger during the earlier (Feb-2022) than later (Oct-2022) data collection time-points. The findings illustrate the importance of anchoring results within a study’s specific geographic context, including concurrent events during the study period. Importantly, findings that may initially seem counterintuitive ultimately illuminate the dynamic and complex processes underlying child and adolescent mental health.

Financial Sophistication and Consumer Spending

ABSTRACTUsing detailed account‐level data, this paper explores how financial sophistication affects consumers' spending responses to changes in income. I document that, controlling for liquidity, financially unsophisticated consumers display significant spending responses to predictable decreases in their disposable income. Furthermore, they have lower savings rates, fewer liquid savings, and higher debt‐to‐income ratios, leaving them more exposed to income shocks. Robustness tests, supported by anecdotal survey evidence, indicate that these results are driven by some consumers' lack of financial sophistication and their consequent failure to understand their financial contracts, rather than by random idiosyncratic shocks, rational liquidity management, or optimal inattention.

Who benefits more from the digital economy: (Non-)Cognitive ability and the labor income premium

This study examines how cognitive and non-cognitive abilities affect changes in individual labor income resulting from digitalization in China. Based on data from the China Family Panel Studies, a representative national household survey conducted in 2018 with over 3700 observations, our findings indicate that the digital economy generally increases labor incomes. However, the impact of the digital economy on labor income is related to individuals' ability. The digital economy has a significant positive effect on labor income returns on cognitive ability, while the effect on the non-cognitive premium is insignificant. Our study contributes to understanding the new human capital theory and provides insights for advancing shared prosperity in the digital era.

Families at a Loss: The Asymmetric Relationship Between Income Changes and Child Human Capital

Families at a Loss: The Asymmetric Relationship Between Income Changes and Child Human Capital

Changes in Physical Activity Due to Changes in Employment and Income Before and After the Onset of the COVID-19 Pandemic: A Korean Community Health Survey.

Changes in Physical Activity Due to Changes in Employment and Income Before and After the Onset of the COVID-19 Pandemic: A Korean Community Health Survey.

The Impact of Minimum Wage System on Low-Income Groups

The minimum wage system sets a legal floor on the income of workers. It provides economic security for low-wage workers and ensures that their basic needs are met, thereby reducing poverty. For low-income workers, increasing the minimum wage directly enhances their earnings, living standards, and financial stability. As a research focus, the primary area of examination would be the precise effect of minimum wage adjustments on the income levels of those in low-paying jobs: analyze the changes in the real income of low-income workers after the augement of minimum salary and the improvement influence of family economic conditions. Second one is exploring the impact on this system changes employment sector: Examine whether raising the minimum wage causes employers that reduce hiring or layoffs, and the potential impact of such changes on low-skilled labor markets. The last one is analyzing the impacts of minimum wage policies of psychological and low-income groups’ social wellbeing: Using questionnaires to understand changes in the perception of low-income workers about their job satisfaction, quality of life, and social status. The rise in this system significantly rose the income level of low-income workers, helped to alleviate poverty, and raised the basic standard of living of these families. In the short term, that increase may have a certain negative impact on some labor-intensive industries, in the form of a small number of job losses; But over the longer term, the job market stabilizes as companies adapt to increased costs and improve efficiency through technological innovation.

Does Ethnicity Moderate the Union Dissolution Penalty for Women? A Register-based Analysis of Changes in Income Components

Union dissolution has severe consequences for women’s economic well-being. Theoretical work links these consequences to ethnic inequality. Ethnic groups vary in terms of separation rates, female employment, repartnering trajectories, kin support, and reliance on welfare benefits. The current study examines whether ethnicity moderates the dissolution penalty. To do so, the authors draw on register data, covering women from five major ethnic groups in the Netherlands: Dutch, Antillean, Surinamese, Moroccan, and Turkish. The authors describe women’s income trajectories from 1 year before to 5 years after union dissolution. Using decomposition techniques, changes in household income are decomposed into changes in six underlying income sources (i.e., earnings, benefits, alimony, partner income, and coresident family income). The results show that ethnicity moderates the dissolution penalty and, especially, the contribution of the various income sources when recovering from dissolution.

Nonlinear unsteady aerodynamic forces prediction and aeroelastic analysis of wind-induced bridge response at multiple wind speeds: A deep learning-based reduced-order model

Machine learning-based aerodynamic reduced-order models (ROMs) combine high accuracy with extremely low computational costs, making them highly effective in predicting nonlinear and unsteady bridge aerodynamic forces. Although several machine learning-based nonlinear aerodynamic models have been developed, the majority are built on a single wind speed parameter. However, in nonlinear aerodynamic prediction and aeroelastic analysis of bridges, the variability in incoming wind speed significantly influences the computed results. A ROM relying solely on a single wind speed lacks the ability to accurately forecast the intricate dynamic behaviors arising from changes in wind speed. When the incoming wind speed changes, the model's prediction accuracy significantly decreases. Usually, it is necessary to establish a new database and train a new model, which not only increases time and cost but also greatly reduces the convenience of the ROM. Addressing this challenge, this study proposes a multiple-wind-speed (MWS) nonlinear unsteady bridge aerodynamic model based on the LSTM deep neural network. Taking the Taohuayu Yellow River Bridge in the Henan Province of China as an example, the modeling process of the proposed MWS-ROM is demonstrated, along with non-linear aerodynamic predictions of the deck under various conditions and aerodynamic-elastic analysis of the deck under different wind speeds. The research results show that the trained LSTM network can accurately predict the nonlinear aerodynamic forces of bridges under single and double degrees of freedom vibration conditions. The MWS-ROM performed well in predicting convergent vibrations at low wind speeds and limits cycle oscillations at high wind speeds, aligning closely with results from the CFD full-order model. Compared to CFD, the aerodynamic ROM based on the LSTM network significantly enhances computational efficiency, consequently boosting the convenience and efficiency of bridge flutter analysis. Additionally, the methodology proposed herein can be extended for wind-induced vibration control and response prediction in other types of deck sections.

Income, wealth, and debt among families with a history of cancer.

350 Background: Cancer survivors and their families often experience financial hardship due to high out-of-pocket medical costs and lost income from time away from work during treatment for patients and informal family caregivers. Little is known about detailed income, wealth, and debt among families with a history of cancer. Methods: The 2021 Panel Study of Income Dynamics was used to identify families with a cancer history. Family characteristics included survey response person’s age, sex, marital status, and race and ethnicity, number of dependent children living in the family, and time since cancer diagnosis. For families with multiple cancer diagnoses, time since cancer diagnosis was calculated according to the most recent cancer diagnosis. Family income was assessed by total income in tax year 2020, which consisted of combined taxable and transfer income of the response person, spouse/partner, and other family members. Wealth with and without equity (i.e., value of home minus mortgage) were assessed by sum of values of different types of assets (e.g. savings, checking, bonds, retirement accounts) net of debts (e.g., credit card debt, student loans, and medical bills). Results: A total of 701 families were identified with a cancer history. Within families, half of cancer survivors were 18-64 years and the other half were >65 years at the survey. About two thirds were married or living with partners, three fourths of response persons were male, one fifth had dependent children living in the same family, two thirds were non-Hispanic white, and two thirds of cancer survivors were diagnosed > 6 years prior to the survey. The median family income was $67,498 (inter-quartile range: $33,480 to $121,200), and the median wealth with and without equity were $188,000 and $5,5000, respectively. Moreover, 29.9% of families had credit debt (median: $4,500; inter-quartile range [IQR]: $1800-$14,000); 11.3% of families carried student loans (median: $4,500; IQR: $15,000-$60,000); and 10.7% of families had outstanding medical bills (median: $4,000; IQR: $2,000-$9,000). Conclusions: Families with a history of cancer have multiple types of debts, including medical debt, even years after diagnosis. Efforts to identify changes in wealth and income before and after cancer diagnosis are warranted. Income, wealth, and debt among families with a history of cancer. Family income Wealth without equity Wealth with equity Mean (Std) Median (IQR) Mean (Std) Median (IQR) Mean (Std) Median (IQR) $94,776(123,870) $67,498(33,480, 121,200) $459,956(1,142,647) $5,5000(4,000, 391,364) $649,912(1,307,959) $188,000(30,400, 645,000) Credit card debt (n=693) Student loans (n=698) Medical bills (n=627) n (%) Mean (Std) Median (IQR) n (%) Mean (Std) Median (IQR) n (%) Mean (Std) Median (IQR) 207(29.9%) $8,832 (10,300) $4,500(1800, 14,000) 79(11.3%) $55,948(75,256) $35,000(15,000, 60,000) 67(10.7%) $13,309(32,525) $4000(2,000, 9,000)

EMPOWERING WOMEN THROUGH SELF-HELP GROUPS: A PRAGMATIC ANALYSIS OF WOMEN IN BHARATPUR

The primary objective of this study is to gain deeper insights into the socioeconomic influence of women in Bharatpur, with a specific focus on those involved in Self Help Groups (SHGs). This research aims to comprehensively understand how the participation of women in SHGs has contributed to their empowerment and overall socioeconomic development. The study includes a detailed analysis and interpretation of various indicators, such as changes in income and savings levels before and after joining SHGs, as well as the growth in their confidence, leadership abilities, and knowledge acquisition. Furthermore, the literature review explores the broader socioeconomic impact on the lives of women, highlighting how involvement in SHGs has transformed their social and economic standing. Self Help Groups, as grassroots-level organizations, play a pivotal role in enhancing the quality of life for economically disadvantaged individuals, particularly women. By offering opportunities for collective action, skill development, and financial independence, SHGs have become instrumental in advancing the welfare of women in Bharatpur, fostering greater autonomy, economic stability, and community leadership. This research not only investigates the financial outcomes associated with SHG membership but also delves into the qualitative aspects of empowerment, such as personal growth, decision-making capacities, and the ability to influence community-level initiatives. By examining these elements, the study seeks to provide a comprehensive understanding of the socioeconomic transformations that SHGs facilitate in the lives of women in Bharatpur.

The Impact of Farmers' Socio-Economic Conditions Due to the Conversion of Agricultural Land in Setia Mulya Village, Bekasi Regency, Indonesia

Land conversion is the change of the original land function into another function. The conversion of laham affects the socio-economic conditions of farmers, especially in Setia Mulya Village. Socioeconomic conditions are a person's position in a community group that is determined by the type of economic activity, education, and income. The conversion of agricultural land can have an impact on the social and economic conditions of farmers. What is observed in this study is social conditions, economic conditions and their impact on farmers. The purpose of this study is to analyze changes in the socio-economic conditions of farmers due to land conversion and their impact on farmers' lives. The method used was a qualitative method with data sources obtained from observations, interviews, and documentation with farmers as respondents totaling 15 farmers, with sampling techniques using snowball sampling techniques. The results of the study showed changes in the socio-economic conditions of farmers due to land conversion that occurred in Setia Mulya Village. Changes in socio-economic conditions related to the age of farmers, changes in social status, changes in farmers' income, and farmers' household consumption. Farmers in Setia Mulya Village are cultivators so they have to pay rent to the landowner so that farming activities can continue. Although the area of agricultural land in Setia Mulya Village is very large, the high rental prices and the difficulty of irrigation flows make farmers have to look for decent agricultural land that can be used properly.

Ekonomiczne determinanty popytu na ubezpieczenia na życie – ujęcie regionalne

Insurance has various functions in the economic and social spheres. Life insurance is a specific type of insurance, offered in the form of individual or group insurance. Research on insurance market at regional level is undertaken relatively rarely. The aim of the study presented in this paper is to identify economic factors determining the level of demand for individual and group life insurance on regional insurance markets. Dynamic econometric models for panel data (GMM estimator) with demand expressed in gross written premium per capita (life insurance density) have been used in the analysis. The research was carried out on the basis of data at voivodship level for the period of 2017–2021 from Statistics Poland and the Polish Financial Supervision Authority. The regression analysis demonstrated that an improving economic situation of the region and households’ growing disposable income positively affected demand for life insurance, while a poor situation on the labor market (indicated by the unemployment rate) had a reverse effect. Individual insurance demand responded stronger to changes in disposable income and the unemployment rate, whereas group insurance demand was more sensitive to changes in the region's economic situation. The level of insurance consumption observed in a given period is determined by that observed in the previous period, which indicates the phenomena occurring on this market are of a relatively stable character.

The Impact of Rice Tariffication Law on Rice Farmer Income and Occupational Choice: A Microsimulation Approach

Purpose: This study was conducted to provide an ex-ante analysis of the impact of the Rice Tariffication Law (RTL) on rice farmers' income and occupation preferences. The study aims to determine how much increased in terms of total income before and after the implementation of RTL. Moreover the research aims to determine if how many farmers will shift to any industry after the implementation of RTL. Methodology: Using microsimulation modeling and logistic regression a microdata from the 2018 Family Income and Expenditure Survey (FIES) were used to simulate changes in total income and household-level expenditures. Findings: It was found that households whose heads were involved in agricultural activities and had more years of education had the highest income in the 2018 FIES. In the microsimulation model, it was observed that the implementation of the Rice Tariffication Law resulted in a noteworthy 52% increase in the total income of rice farmers who were recipients of the law, while non-recipients experienced a negative 19% change in their income. Moreover, an estimated 3,000 non-rice farmers transitioned to rice farming as income increased in rice farming activities. Unique Contribution to Theory, Practice and Policy: This study recommends the effective allocation and implementation of the Rice Competitiveness Enhancement Fund (RCEF) to benefit rice farmer recipients and promote inclusive growth for our farmers. Government institutions should promote microfinancing and strengthen cooperative systems to aid in the allocation of cash disbursement. The establishment of community-based offices focusing on the RCEF program will ensure that the program is accessible to farmers. Additionally, RCEF credit assistance should be considered for future study to assess the government's efficiency in implementing the program and whether the allocated fund is sufficient for all rice farmers in the country.

Pathways from education to mortality, mediated through income.

Lower levels of education are associated with higher mortality. Lower levels of education are also associated with lower income, which is also associated with higher mortality. We investigate the impact of education on mortality and the extent to which this is mediated through income over the life course. We account for both selective educational attainment and selective income over the life course, through inverse propensity weighting (IPW) of the mortality hazard. We decompose the educational gain, that is, the decrease in mortality from more education, in the hazard into an indirect effect of education, running through changes in income and a direct effect of education, running through other factors. We use Swedish conscription data (men only), linked to parental information and individual annual income for the period 1968 till 2012. Our empirical results indicate large educational gains in mortality. We also find that this educational gradient runs through changes in income, especially for the more educated, and does not run through other factors related to education. We conduct several robustness and sensitivity checks that indicate that the results are robust.

Is money velocity pro-cyclical? The case of India

Monetary targeting served as a useful tool for conducting monetary policy until 1980s, but the instability in the relationship between money and nominal income led to its abandonment by most economies. One way of measuring this relationship is money velocity, defined as the ratio of nominal income to money. The purpose of the present study is to show that if short-run cyclical factors are accounted for, money velocity function becomes stable and thus any change in monetary aggregates will lead to predictable change in nominal income and therefore inflation. In such a scenario, monetary targeting can serve as a useful tool in the conduct of monetary policy. The study utilizes quarterly data from 1996:Q2 to 2020:Q1 and time series methodology to conduct empirical analysis. Findings show that money velocity and all its identified determinants exhibit pro-cyclical behaviour. After accounting for these determinants, money velocity has been found to be stable. The direction of causality runs from money velocity to rate of interest to investment to GDP. Thus, when formulating monetary and fiscal policies, policymakers can monitor the short-term cyclical patterns in money velocity as an indicator of forthcoming expansionary or contractionary conditions in the economy to design effective policies.

Unlocking housing wealth through mortgage debt: do patterns and motivations vary by age?

Successive waves of house price appreciation have prompted homeowners to tap into housing wealth, increasing mortgage debt to meet spending needs. This paper addresses three questions about equity borrowing behaviour via panel-data modelling. First, how do homeowners’ asset and debt portfolios affect equity borrowing behaviour? Second, is equity borrowing influenced by financial behaviours relating to saving, planning and risk-taking? Third, do equity borrowing drivers vary by age? Our findings confirm that equity borrowing is generally influenced by asset and debt portfolios, with notable age-related differences. Younger homeowners exhibit greater sensitivity to changes in primary home value and debt, and risk willingness. Income, labour force status and ownership of other property are crucial for those aged 55–64, while homeowners aged 65+ are generally insensitive to asset, debt or income changes. We discuss policy implications, emphasizing the prospects of longer working lives among pre-retirees, the need for safeguards for elderly equity-borrowers, and the welfare consequences of later-life debt burdens or homeownership loss.

Impact of Integrated Agricultural Productivity Project on the Smallholder Beneficiaries in Mithapukur Upazila, Rangpur District of Bangladesh

In Bangladesh, plenty of development projects are assumed, though success of very few is evaluated. This study was aimed to evaluate the impact of Integrated Agricultural Productivity Project (IAPP) on the smallholder beneficiaries. The proportionate random sampling technique was used to select 90 smallholder beneficiaries from seven project villages implemented. Data were collected during 2018 to 2019 using a predesigned interview schedule. The perceived advantages of the project and the beneficiaries' annual income change were utilized to assess the impact of the project on the smallholder beneficiaries. Majority (58.8%) of the smallholder project farmers were under young to middle age category, with literacy belonged to moderate family size, small farm category, average annual income of BDT 134989 and 227633 during before and after the project intervention, respectively. They showed moderate contact with the extension source (95.6%) and moderate organizational participation (64.5%). Benefits derived from different components of the project were caused change in the usages of different agricultural improved technologies by the beneficiaries. The technologies implemented were improved fish, crop, livestock and water technology. All technologies had statistically significant contributions to the beneficiaries. The changes were significant for all the cases, viz. improved fish technology (t=13.65), improved crop technology (t=24.36), improved livestock technology (t = 20.43) and improved water technology (t= 22.29). There was also significant change in annual income comparing before and after the project intervention. Major problems faced during the intervention of the project were poor coordination of activities followed by training, poor quality deliverables and inadequate supply of project incentives. It is recommended that the authority needs to consider necessary measures to sustain the tempo and resolve the problems experienced by the beneficiaries in the future interventions.

Understanding and Explaining Recent Changes in Income, Consumption and Poverty Among Agricultural Households Across Major States of India

The study, using unit level data from two nationally representative surveys, examines changes in levels and sources of household income, consumption expenditure, incidence of poverty and determinants of household income and poverty among agricultural households. The study shows that across most of the states, there has been a significant decrease in the per cent share of income from cultivation coupled with an equally significant increase in the share of income from wages and salary; average annual household income of such households is higher than their average annual consumption expenditure and there has been a significant decrease in the incidence of poverty among them. The results of regression analysis show that household size, head of the household being male, literacy, farm size, income from cultivation, awareness of minimum support price (MSP), access to technical training, engagement in non-farm business and engagement in wages and salary have significant positive effect on households income and lower the probability of a household being poor across major states. JEL Codes: Q1, C1, C2, D1, R2

Family Dynamics, Socioeconomic Hardships, and Health Risk Behaviours of Bulgarian Adolescents during the COVID-19 Pandemic.

This study aims to explore family dynamics and the economic hardships experienced by families during the COVID-19 pandemic and their associations with adolescents' health risk behaviours (HRBs). Based on a representative study of adolescents aged 11-16 conducted in Bulgaria during the COVID-19 pandemic and HBSC data from the pre-pandemic period, logistic regression models were applied, assessing cigarette smoking, vaping, alcohol use, drunkenness, and cannabis use. The independent variables included demographics, Family Affluence Scale (FAS III), family structure, ease of communication with parents, and the authors' developed questions on parents' income and economic status change, family conflicts, and missing contact with extended family due to the pandemic. Material status of the family showed increasing differentials in adolescents' HRBs during the pandemic. Parental unemployment, income reduction, and temporary lay-offs were associated with a higher risk of substance use. Family conflicts, missing contact with extended family, and difficulties in communication with the mother were related to a higher risk of substance use. Communication with the father was significantly associated with alcohol use and drunkenness. Boys had lower odds of vaping and higher odds of alcohol use, drunkenness, and cannabis use. Higher age and minority status were associated with an increase in adolescents' HRBs. This study highlights the need for special family-focused interventions in times of health and economic crises.

Birth Weight and Labor Market Outcomes: Findings From Tohoku Medical Megabank Data

ABSTRACTBackgroundEpidemiological and economic literature has revealed that low birth weight (LBW) is related to poor health conditions and a broader range of negative socio‐economic outcomes, including academic achievement, income levels, and working status. However, Japanese evidence for labor outcomes is particularly lacking, as is the question of whether the impact of LBW on adulthood worsens when disasters occur. We aimed to reveal the impact on LBW on labor outcomes during the disaster recovery phase.MethodsWe used a cross‐sectional data set of 4156 national health insurance holders, males aged 40–60 years, from the Miyagi and Iwate prefectures during the earthquake recovery phase. Employing a multinomial probit and logistic model, we estimated the impact of LBW on the employment status, changes in income, and the propensity to face a decline in income with a job change.ResultsThe very low birth weights (VLBWs) have a disadvantage in all labor market outcomes. Compared to the non‐LBWs, the VLBWs were 15.2% less likely to be full‐time/self‐employed and 17.1% more likely to be contingent/temporary/part‐time workers. Moreover, 32.9% are more likely to face a decline in income and approximately 3.7 times more likely to change jobs leading to income decline. The LBWs were likely to face a decline in income by 8.6% and 4.6%, respectively, but no other significant effects were found on other outcomes.ConclusionsThe effects were apparent for the VLBW, but not so much for the LBW. The effects became larger during the disaster recovery phase, even though the regional economies were boosted.