8 datasets found
  1. H

    Replication Data for: How Credit Markets Substitute for Welfare States and...

    • dataverse.harvard.edu
    Updated Mar 7, 2021
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    Harvard Dataverse (2021). Replication Data for: How Credit Markets Substitute for Welfare States and Influence Social Policy Preferences. Evidence from U.S. States [Dataset]. http://doi.org/10.7910/DVN/IGMSA4
    Explore at:
    application/x-rlang-transport(50933), txt(4600), type/x-r-syntax(50926), application/x-rlang-transport(9496137), type/x-r-syntax(22674), application/x-rlang-transport(98845), application/x-rlang-transport(196742)Available download formats
    Dataset updated
    Mar 7, 2021
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    What is the relationship between debt and the welfare state? Recent arguments suggest that credit markets fill gaps left by limited social benefits but often rest on thin empirical grounds. This article makes two contributions to this debate by using micro-level panel data and leveraging variation in welfare state generosity across US states and over time. First, it shows that households that experience unemployment borrow significantly more in states where unemployment benefits are low compared to states where benefits are high. A 10-percentage-point decrease in unemployment replacement rates increases debt levels by about 30 per cent, or $5,300. Secondly, the article documents that rising indebtedness in the context of weak social policies has political consequences and increases support for a stronger safety net. One explanation is that voters seek social protection against downstream debt-induced economic risks. These findings suggest that welfare states can play a critical role in mitigating growing indebtedness.

  2. f

    Data from: Contestable Credit Markets and Household Welfare: Panel Data...

    • tandf.figshare.com
    pdf
    Updated Jun 1, 2023
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    Dereje Regasa; David Fielding; Helen Roberts (2023). Contestable Credit Markets and Household Welfare: Panel Data Evidence from Ethiopia [Dataset]. http://doi.org/10.6084/m9.figshare.13116729.v1
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Dereje Regasa; David Fielding; Helen Roberts
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ethiopia
    Description

    This paper explores the impact of credit constraints on household welfare in Ethiopia. We use a three-wave panel dataset for rural and small-town households to estimate the effects of household borrowing constraints on two alternative indicators of household welfare: consumption expenditure and asset ownership. The presence of a constraint is treated as an endogenous regressor, using an instrumental variable based on Baumol’s theory of contestable markets. We find that credit constraints have a significantly negative effect on both outcomes. These results are robust to several alternative specifications of the model.

  3. d

    Replication Data for: A Social Policy Theory of Everyday Borrowing. On the...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 19, 2023
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    Wiedemann, Andreas (2023). Replication Data for: A Social Policy Theory of Everyday Borrowing. On the Role of Welfare States and Credit Regimes [Dataset]. http://doi.org/10.7910/DVN/YE8VC9
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    Dataset updated
    Nov 19, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Wiedemann, Andreas
    Description

    Debt has become an essential part of many people's daily lives. This paper develops a new comparative political economy perspective on the relationship between welfare states and household borrowing. I argue that the ways in which welfare states distribute benefits and credit regimes provide access to credit affect how individuals address social risks and, as a consequence, shape patterns of indebtedness. Permissive credit regimes substitute for social policies in limited welfare states, pushing economically disadvantaged groups into debt. Alternatively, credit markets complement social policies in the provision of financial liquidity in comprehensive welfare states, protecting vulnerable groups through government benefits while allowing less-protected affluent groups to borrow money. In restrictive regimes, people instead rely on savings, expenditure cuts, and family support. I test these arguments using an original measure of credit regime permissiveness, cross-national survey data, and full-population administrative records from Denmark and panel data from the United States.

  4. o

    Code for: Opportunity Unraveled: Private Information and the Missing Markets...

    • openicpsr.org
    delimited
    Updated Feb 20, 2024
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    Daniel Herbst; Nathaniel Hendren (2024). Code for: Opportunity Unraveled: Private Information and the Missing Markets for Financing Human Capital [Dataset]. http://doi.org/10.3886/E198510V1
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    delimitedAvailable download formats
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    American Economic Association
    Authors
    Daniel Herbst; Nathaniel Hendren
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2012 - 2017
    Area covered
    United States
    Description

    We argue adverse selection has unraveled private markets for financial contracts that mitigate college-going risks. We use survey data on beliefs to quantify the threat of adverse selection in markets for equity contracts and several state-contingent debt contracts. We estimate that a typical college-goer would have to repay $1.64 in present value for every $1 of equity financing to sustain profitable contracts for financiers, more than they are willing to accept. We discuss why moral hazard, biased beliefs, and the availability of outside credit options are less likely to explain the absence of these markets, and discuss the welfare implications.

  5. c

    Credit Repair Services Market will grow at a CAGR of 2.50% from 2024 to...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Apr 30, 2025
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    Cognitive Market Research (2025). Credit Repair Services Market will grow at a CAGR of 2.50% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/credit-repair-services-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Credit Repair Services market size is USD 6815.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 2.50% from 2024 to 2031.

    North America held the major market of more than 40% of the global revenue with a market size of USD 2726.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 0.7% from 2024 to 2031.
    Europe accounted for a share of over 30% of the global market size of USD 2044.56 million.
    Asia Pacific held the market of around 23% of the global revenue with a market size of USD 1567.50 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.5% from 2024 to 2031.
    Latin America market of more than 5% of the global revenue with a market size of USD 340.76 million in 2024 and will grow at a compound annual growth rate (CAGR) of 1.9% from 2024 to 2031.
    Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 136.3 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.2% from 2024 to 2031.
    The Credit Repair Software held the highest Credit Repair Services market revenue share in 2024.
    

    Market Dynamics of Credit Repair Services Market

    Key Drivers of Credit Repair Services Market

    Increased Importance of Credit Scores to Increase the Demand Globally
    

    The fact that businesses and financial institutions depend more on credit scores to establish insurance premiums, determine interest rates, and approve loans shows how important credit scores have become. The growing awareness of the substantial influence credit scores have on one's financial prospects and general welfare has increased the need for services focused on enhancing and preserving good credit ratings. This increase in demand is a result of customers taking proactive steps to improve their financial situation, which opens up access to more favorable insurance and borrowing terms and, in turn, increases their prospects and stability.

    Financial Difficulties and Errors to Propel Market Growth
    

    Delinquencies or mistakes impact individuals' creditworthiness on credit reports, frequently resulting from personal financial difficulties and economic uncertainty. As a result, there is a rising need for credit repair services meant to address these problems and improve credit status. These services help refute incorrect information, settle disputes with creditors, and create plans to raise credit ratings. By resolving financial challenges and inaccuracies on credit reports, people can improve their creditworthiness, be eligible for better lending conditions, and lessen the blow to their future financial prospects. This pattern emphasizes the value of proactive money management and the assistance that credit repair firms provide in assisting people in overcoming difficult financial situations.

    Restraint Factors Of Credit Repair Services Market

    Lack of Regulation and Unethical Practices to Limit the Sales
    

    Consumer trust is undermined by unethical activities and a lack of regulation, which poses issues for the credit repair sector. Certain businesses take advantage of gaps in the law to commit dishonesty or participate in fraudulent activities, preying on those looking for help with credit problems. Marketing that is deceptive and con games run by dishonest businesspeople make the issue worse and expose customers to abuse. In addition to damaging the standing of reliable credit repair firms, this oversight gap undermines public trust in the sector. Protecting customers and rebuilding confidence in the credit repair industry need strengthening legal frameworks and upholding moral principles.

    Impact of Covid-19 on the Credit Repair Services Market

    The COVID-19 outbreak has significantly impacted the market for credit repair services. A growing number of people are experiencing financial troubles due to economic shocks and job losses, which has increased demand for credit repair services. On the other hand, limitations on face-to-face communication and unstable economic conditions have also impacted credit repair businesses. Maintaining service delivery now requires digital technologies and remote work arrangements. Government stimulus programs and regulatory changes intended to ease financial burdens have also impacted market dynamics. The pandemic has highlighted the value of credit restora...

  6. g

    World Bank - History and evolution of social assistance in Indonesia |...

    • gimi9.com
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    World Bank - History and evolution of social assistance in Indonesia | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_16955572/
    Explore at:
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Indonesia
    Description

    Over the past 13 years, the Government of Indonesia (GOI) has moved from a set of temporary, crisis-driven social assistance initiatives towards a more permanent system of social assistance programs. This background paper aims to provide a brief history of the major developments in the GOI's household-targeted social assistance policy and programs with more limited discussion of supply-side and community social assistance initiatives. The note is organized chronologically with developments in social assistance presented together with information about the economic, political and social contexts in which these developments occurred. Indonesia's economic growth was also associated with substantial declines in the poverty, especially among rural households. The poverty headcount fell from 54.2 million to 34.5 million Indonesians and poverty incidence fell from 41.1 to 17.7 percent. While poverty reduction was not a policy objective in GOI documents until the early 1990s, the GOI's agricultural and rural development strategies and commitment to human capital investment through financing and provision of education and health services also contributed to poverty reduction. Furthermore, the GOI intervened in staple foods markets for the purpose of reducing domestic price volatility and increasing food security. During this era, when individuals or families employed in the informal sector required in-kind or financial assistance, they sought it from extended families, communities, or informal credit markets.

  7. g

    Stata Do-Files, Log-Files and additional results for the article...

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +2more
    Updated Dec 6, 2020
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    Combet, Benita; Jakob, Martina (2020). Stata Do-Files, Log-Files and additional results for the article "Educational aspirations and decision-making in a context of poverty. A test of rational choice models in El Salvador" [Dataset]. https://search.gesis.org/research_data/SDN-10.7802-2047
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    Dataset updated
    Dec 6, 2020
    Dataset provided by
    GESIS, Köln
    GESIS search
    Authors
    Combet, Benita; Jakob, Martina
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Area covered
    El Salvador
    Description

    Previous research on educational aspirations and educational decision-making has mostly focused on high-income countries and thus on a relatively homogeneous socio-economic context. However, educational decision-making may be sensitive to contextual factors such as economic deprivation, a dysfunctional welfare state or poor access to credit markets – characteristics shared by most low- and middle-income countries. To better understand how economically disadvantaged individuals in developing countries make their educational choices, we conducted a survey based on a random sample with high school students in the rural department Morazán in El Salvador, a lower middle-income country in Latin America. Our results show that regardless of the social background, almost all students aspire to pursue tertiary education, probably due to the high tertiary degree premium in earnings and the high social benefits. However, the lack of possibilities to finance their studies generally prevents the realisation of these aspirations for lower social background students. While in high-income countries, cost factors are not very important in the decision-making process, the burden of costs explains around 45 percent of the social background effect in El Salvador. Other factors such as academic confidence, expected future economic benefits, parental status maintenance wish, individual risk aversion and time discounting preferences play only a minor role.

  8. c

    Universal Credit and Employers: Exploring the Demand Side of UK Active...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Jun 4, 2025
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    Jones, K (2025). Universal Credit and Employers: Exploring the Demand Side of UK Active Labour Market Policy, 2021-2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-856757
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    Dataset updated
    Jun 4, 2025
    Dataset provided by
    Manchester Metropolitan University
    Authors
    Jones, K
    Time period covered
    Apr 30, 2021 - Aug 30, 2023
    Area covered
    United Kingdom
    Variables measured
    Individual, Organization
    Measurement technique
    Semi-structured qualitative interviews with employers, policymakers and other key stakeholders.
    Description

    Active labour market policies (ALMPs) are government interventions traditionally focused on moving unemployed people into work. As those ultimately in control of the employment opportunities participants are seeking to access, employers are fundamental to ALMP outcomes. However, research and policy relating to ALMP has tended to ignore employers. Focusing on UK ALMP, as enacted through Universal Credit, this research helps to advance knowledge of this topic by focusing on employer perspectives of ALMP and the conditionality that underpins it for unemployed people and workers on a low income. The research explored how ALMP is understood and experienced by UK employers, how it impacts on how businesses are run, and how employment services can work more effectively with employers, leading to better outcomes for individuals and the wider economy.

    The UK's main vehicle for ALMP, and flagship policy of recent welfare reforms is Universal Credit (UC). UC is the new working age benefit for those who are either out of work or on a low income. Under UC, social security for unemployed people is conditional on claimants demonstrating work search and other work-related activities. This is underpinned by a 'Work First' approach, emphasising high volumes of applications and fast work re-entry. It also potentially involves the extension of conditionality to those in work, blurring the traditional distinction between social security claimants who are in and outside of the paid labour market .

    Aims and objectives The project had four main aims. Through qualitative semi-structured interviews with employers, policymakers and other key stakeholders, this research project: 1. explored how UK ALMP is understood and experienced by employers 2. identified how ALMP impacts UK businesses, including how they recruit, retain and progress their staff (including differences between sectors) 3. explored how the impact of ALMP on employers varies in different low pay sectors 4. explored how the public employment service can work effectively with employers to lead to better employment outcomes for claimants The final project report is available via Related Resources.

    Research context: Active labour market policies (ALMPs) are government interventions traditionally focused on moving unemployed people into work. As those ultimately in control of the employment opportunities participants are seeking to access, employers are fundamental to ALMP outcomes (Bredgaard; 2017; Sissons and Green, 2017). However, research and policy relating to ALMP has tended to ignore employers. Focusing on UK ALMP, as enacted through Universal Credit, this research will help to advance knowledge of this topic by focusing on employer perspectives of ALMP and the conditionality that underpins it for unemployed people and workers on a low income. The research will explore how ALMP is understood and experienced by UK employers, how it impacts on how businesses are run, and how employment services can work more effectively with employers, leading to better outcomes for individuals and the wider economy (McCollum, 2012).

    The UK's main vehicle for ALMP, and flagship policy of recent welfare reforms is Universal Credit (UC). UC is the new working age benefit for those who are either out of work or on a low income (DWP, 2010). Under UC, social security for unemployed people is conditional on claimants demonstrating work search and other work-related activities. This is underpinned by a 'Work First' approach, emphasising high volumes of applications and fast work re-entry. It also potentially involves the extension of conditionality to those in work, blurring the traditional distinction between social security claimants who are in and outside of the paid labour market (Dwyer and Wright, 2014).

    Aims and objectives The project has four main aims. Through qualitative semi-structured interviews with employers, policymakers and other key stakeholders, this research project will: 1. explore how UK ALMP is understood and experienced by employers 2. identify how ALMP impacts UK businesses, including how they recruit, retain and progress their staff (and explore differences between sectors) 3. explore how the impact of ALMP on employers varies in different low pay sectors 4. explore how the public employment service can work effectively with employers to lead to better employment outcomes for claimants

    To realise these aims, the project is underpinned by four related objectives: 1. To generate new qualitative data on how ALMP impacts on employers and firm behaviour through consultation with employers, policy makers and other key stakeholders 2. To expand scholarly understanding of ALMP and its impact, beyond a traditional supply side focus on unemployed claimants 3. To identify ways in which public employment services (i.e. Jobcentre Plus and other contracted providers) could work with employers to help Universal Credit claimants enter and progress in work 4. To inform...

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Harvard Dataverse (2021). Replication Data for: How Credit Markets Substitute for Welfare States and Influence Social Policy Preferences. Evidence from U.S. States [Dataset]. http://doi.org/10.7910/DVN/IGMSA4

Replication Data for: How Credit Markets Substitute for Welfare States and Influence Social Policy Preferences. Evidence from U.S. States

Related Article
Explore at:
application/x-rlang-transport(50933), txt(4600), type/x-r-syntax(50926), application/x-rlang-transport(9496137), type/x-r-syntax(22674), application/x-rlang-transport(98845), application/x-rlang-transport(196742)Available download formats
Dataset updated
Mar 7, 2021
Dataset provided by
Harvard Dataverse
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Area covered
United States
Description

What is the relationship between debt and the welfare state? Recent arguments suggest that credit markets fill gaps left by limited social benefits but often rest on thin empirical grounds. This article makes two contributions to this debate by using micro-level panel data and leveraging variation in welfare state generosity across US states and over time. First, it shows that households that experience unemployment borrow significantly more in states where unemployment benefits are low compared to states where benefits are high. A 10-percentage-point decrease in unemployment replacement rates increases debt levels by about 30 per cent, or $5,300. Secondly, the article documents that rising indebtedness in the context of weak social policies has political consequences and increases support for a stronger safety net. One explanation is that voters seek social protection against downstream debt-induced economic risks. These findings suggest that welfare states can play a critical role in mitigating growing indebtedness.

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