Financial hardship and depression experienced by pre-retirees during the COVID-19 pandemic: the mitigating role of stimulus payments

Liu, Yingyi; Zhang, Yu; Chatterjee, Swarn

doi:10.1080/13504851.2021.1989364

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…General well-being outcomes were reported in thirteen studies (17,18,32,34,36,41,43,45,49,51,58,63,67). The economic relief program types assessed included cash transfer (n = 4), unemployment assistance (n = 1), paid sick leave (n = 1), food assistance program (n = 2) and expanded child tax credit (n = 1).…”

Section: Health Impactsmentioning

confidence: 99%

“…Cash transfer, unemployment assistance, food assistance, and expanded child tax credit were reported to have a positive impact on mental well-being in seven studies (17,18,32,41,43,45,67). Paid sick leave was associated with intention to seek medical care; food assistance programs were associated with healthier eating and improved intention to seek medical care when ill (34, 67).…”

Section: Health Impactsmentioning

confidence: 99%

“…Nine of the 50 (18%) eligible studies reported on the equity impact of the individual level economic relief programs (29,32,36,41,42,45,53,58,62). Program types assessed included cash transfer (n = 2), incentive for vaccination (n = 3), mixed (n = 1), expanded paid sick leave (n = 1), and "other" (n = 2).…”

Section: Equity Impactsmentioning

confidence: 99%

“…Health outcomes associated with cash transfer programs differed across demographic factors (race and age) in two studies (58, 45). Cash transfer reduced the incidence of COVID-19 symptoms among 50 years or older (45) and improved nancial savings (a proxy for improved mental health) among Hispanics (58).…”

Section: Equity Impactsmentioning

confidence: 99%

“…Two-third of eligible studies used a survey study design(17, 19, 22, 28, 29, 32-34, 36, 38, 43-47, 50-54, 57, 59, 61, 63-67); others included quasi-experiment(25,41), simulation(20,22,27,55, 60, 69), observational(26, 38,49, 56), and randomized control trial design(42, 48, 58, 62).We identi ed 28 unique individual-level economic relief programs among eligible studies and categorized them into seven groups.Of the 50 eligible studies, three sets of seven studies reported on COVID-19 related unemployment assistance programs (18,19,22,23, 26,30,47), COVID-19 food assistance programs(22,24, 28,40,43,44, 46), and expanded paid sick leave (16,25, 34-36, 39, 49) in the context of COVID-19 pandemic and In uenza epidemic. Eleven eligible studies reported on COVID-19 cash transfer programs(17,20,45, 48,50,52,54, 56, 58, 68, 69); nine studies evaluated vaccine and…”

mentioning

confidence: 99%

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Health and non-health benefits and equity impacts of individual-level economic relief programs during epidemics/pandemics in high income settings: A Scoping Review

Ogunbameru,

Gebretekle,

Perryman

et al. 2023

Preprint

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Background Economic relief programs are strategies designed to sustain societal welfare and population health during a regional or global scale infectious disease outbreak. While economic relief programmes are considered essential during a regional or global health crisis, there is no clear consensus in the literature about their health and non-health benefits and their impact on promoting equity. Methods We conducted a scoping review, searching eight electronic databases from January 01, 2001, to April 3, 2023, using text words and subject headings for recent pathogens (coronavirus (COVID-19), Ebola, Influenza, Middle East Respiratory Syndrome (MERS), severe acute respiratory syndrome (SARS), HIV, West Nile, and Zika), and economic relief programs; but restricted eligibility to high-income countries and selected diseases due to volume. Title and abstract screening were conducted by trained reviewers and Distiller AI software. Data were extracted in duplicates by two trained reviewers using a pretested form, and key findings were charted using a narrative approach. Results We identified 27,263 de-duplicated records, of which 50 were eligible. Included studies were on COVID-19 and Influenza, published between 2014 and 2023. Zero eligible studies were on MERS, SARS, Zika, Ebola, or West Nile Virus. We identified seven program types of which cash transfer (n = 12) and vaccination or testing incentive (n = 9) were most common. Individual-level economic relief programs were reported to have varying degrees of impact on public health measures, and sometimes affected population health outcomes. Expanding paid sick leave programs had the highest number of studies reporting health-related outcomes and positively impacted public health measures (isolation, vaccination uptake) and health outcomes (case counts and the utilization of healthcare services). Equity impact was most often reported for cash transfer programs and incentive for vaccination programs. Positive effects on general well-being and non-health outcomes included improved mental well-being and quality of life, food security, financial resilience, and job security. Conclusions Our findings suggest that individual-level economic relief programs can have significant impacts on public health measures, population health outcomes and equity. As countries prepare for future pandemics, our findings provide evidence to stakeholders to recognize health equity as a fundamental public health goal when designing pandemic preparedness policies.

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Section: Health Impactsmentioning

confidence: 99%

Section: Health Impactsmentioning

confidence: 99%

Section: Equity Impactsmentioning

confidence: 99%

Section: Equity Impactsmentioning

confidence: 99%

mentioning

confidence: 99%

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Health and non-health benefits and equity impacts of individual-level economic relief programs during epidemics/pandemics in high income settings: A Scoping Review

Ogunbameru,

Gebretekle,

Perryman

et al. 2023

Preprint

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Revisiting the nexus between house pricing and money demand: Power spectrum and wavelet coherence based approach

Khan

Chen

et al. 2023

The Quarterly Review of Economics and Finance

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Analyzing public sentiment toward economic stimulus using natural language processing

Chowdhury,

Abdullah,

Albashrawi

2024

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Purpose This study aims to investigate public sentiment toward economic stimulus using textual analysis. Specifically, it analyzes Twitter’s public opinion, emotion-based sentiment and topics related to COVID-19 economic stimulus packages. Design/methodology/approach This study applies natural language processing techniques, such as sentiment analysis, t-distributed stochastic neighbor embedding and semantic network analysis, to a global data set of 88,441 tweets from January 2020 to December 2021 extracted from the Twitter platform, discussing COVID-19 economic stimulus packages. Findings Results show that in the fourth quarter of 2021, there is a declining trend of positive sentiment (−5%) and an increasing trend of negative sentiment (14%), which may indicate the perceived inadequacy of COVID-19 stimulus measures. Topic modeling identifies seven topics, highlighting the necessity of stimulus in the education sector. Practical implications The big-data findings of this study provide a better understanding of public sentiment about economic stimulus for regulators and policymakers, which can help in formulating more effective fiscal and monetary policies. Originality/value Public sentiment is a significant concern for regulators because of its associated ambiguity, such as how to design stimulus packages and evaluate the effectiveness of previous measures. This study applies natural language processing, contributing to the growing literature on designing effective economic stimulus.

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Financial hardship and depression experienced by pre-retirees during the COVID-19 pandemic: the mitigating role of stimulus payments

Cited by 7 publications

References 9 publications

Health and non-health benefits and equity impacts of individual-level economic relief programs during epidemics/pandemics in high income settings: A Scoping Review

Health and non-health benefits and equity impacts of individual-level economic relief programs during epidemics/pandemics in high income settings: A Scoping Review

Revisiting the nexus between house pricing and money demand: Power spectrum and wavelet coherence based approach

Analyzing public sentiment toward economic stimulus using natural language processing

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