Record Details

Replication Data for: A Social Policy Theory of Everyday Borrowing. On the Role of Welfare States and Credit Regimes

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Replication Data for: A Social Policy Theory of Everyday Borrowing. On the Role of Welfare States and Credit Regimes
 
Identifier https://doi.org/10.7910/DVN/YE8VC9
 
Creator Wiedemann, Andreas
 
Publisher Harvard Dataverse
 
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.
 
Subject Social Sciences
Comparative political economy
Welfare state
Household debt
Financialization
Credit regimes
Social risks
 
Date 2021-04-15
 
Contributor Wiedemann, Andreas
 
Source BIS 2020. Credit Statistic: Credit to the Non-Financial Sector. Basel: Bank for International Settlements. Available at https://www.bis.org/statistics/totcredit.htm (December 2020)



Catte, Pietro, Nathalie Girouard, Robert Price and Christophe André. 2005. “The Contribution of Housing Markets to Cyclical Resilience.” OECD Economic Studies 2004(1):125–156.



Cerutti, Eugenio, Jihad Dagher and Giovanni Dell’Ariccia. 2017. “Housing Finance and Real-Estate Booms: A Cross-Country Perspective.” Journal of Housing Economics 38:1–13.



ESRB. 2019. National Measures of Macroprudential Interest in the EU/EEA. Frankfurt am Main: European System Risk Board. Available at
https://www.esrb.europa.eu/national_policy/shared/pdf/esrb.measures_overview_macroprudential_measures.xlsx (December 2020)



IMF. 2011. Global Financial Stability Report: Durable Financial Stability: Getting There from Here. 2011 (April). Chapter III. Housing Finance and Financial Stability—Back to Basics? (April 2011). Washington, D.C.: International Monetary Fund. Table 3.2, p. 117 (December 2020)



IMF. 2020. Integrated Macroprudential Policy (iMaPP) Database. Washington, D.C.: International Monetary Fund. Available at https://www.elibrary-areaer.imf.org/Macroprudential/Pages/iMaPPDatabase.aspx (December 2020)



OECD. 2018. Affordable Housing Database. Paris: Organization for Economic Co-operation and Development. Available at http://www.oecd.org/housing/data/affordable-housing-database/ (December 2020)



OECD 2020a. National Accounts at a Glance: Household Financial Assets. Paris: Organization for Economic Cooperation and Development. doi: 10.1787/7519b9dc-en (December 2020)



OECD 2020b. Pensions Statistics: Pension Funds' Assets. Paris: Organization for Economic Co-operation and Development. doi: 10.1787/d66f4f9f-en (December 2020)



World Bank. 2017. Global Financial Development Database. Washington, D.C.: World Bank. Available at https://datacatalog.worldbank.org/dataset/global-financial-development (December 2020)



World Bank 2019. Bank Regulation and Supervision Survey. Washington, D.C.: World Bank. Available at
https://datacatalog.worldbank.org/dataset/bank-regulation-and-supervision-survey#tab2 (December 2020)



Comparative Political Data Set 2020. Armingeon, Klaus, Virginia Wenger, Fiona Wiedemeier, Christian Isler, Laura Knöpfel, David Weisstanner and Sarah Engler. 2020. (Comparative Political Data Set 1960-2018.) Zurich: Institute
of Political Science, University of Zurich. Available at https://www.cpds-data.org/ (December 2020)



Comparative Welfare States Data Set 2020. David Brady, Evelyne Huber, and John D. Stephens, University of North Carolina and WZB Berlin Social Science Center. Available at http://huberandstephens.web.unc.edu/commonworks/data/ (December 2020)



Comparative Welfare Entitlements Dataset. 2020. Scruggs, Lyle, Detlef Jahn, and Kati Kuitto. 2017. “Comparative Welfare Entitlements Dataset 2. Version 2017-09.” University of Connecticut & University of Greifswald. Available at http://cwed2.org/ (December 2020)



Reinhard and Rogoff. 2020. Global Crises Dataset. Available at https://www.hbs.edu/behavioral-finance-andfinancial-stability/data/Pages/global.aspx (January 2021)



OECD. 2020. House Price Statistics. Available at https://www.oecd-ilibrary.org/economics/data/prices/analyticalhouse-price-indicators_cbcc2905-en (December 2020)



Beck, Thorsten, Berrak Büyükkarabacak, Felix K. Rioja, and Neven T. Valev. “Who Gets the Credit? And Does It Matter? Household vs. Firm Lending Across Countries.” The B.E. Journal of Macroeconomics 12, no. 1 (2012): 1–44. Table 1.



OECD 2020. Main Economic Indicator Dataset: Short-term Interest Rates. Paris: Organization for Economic Cooperation and Development. Available at https://doi.org/10.1787/2cc37d77-en (December 2020)



European Bank for Reconstruction and Development. 2010. Life in Transition Survey II: After the crisis. London: United Kingdom. Available at https://www.ebrd.com/what-we-do/economic-researchanddata/data/lits.html#:~:text=The%20Life%20in%20Transition%20Survey%20II%2C%20conducted%20jointly%20b
y%20the,most%20severely%20from%20the%20crisis (December 2020)



US Census Bureau. 2020. Survey of Income and Program Participation (SIPP). Washington, D.C.: US Department of Commerce, Economics and Statistics Administration. Available at https://www.census.gov/programssurveys/sipp/data/datasets.html (November 2020)



Statistics Denmark. 2020. Earnings Statistics Register. Copenhagen: Statistics Denmark



Statistics Denmark. 2020. Education Statistics Register. Copenhagen: Statistics Denmark



Statistics Denmark. 2020. Family Wealth and Debt Statistics Register. Copenhagen: Statistics Denmark



Statistics Denmark. 2020. Housing Statistics Register. Copenhagen: Statistics Denmark



Statistics Denmark. 2020. Income Statistics Register. Copenhagen: Statistics Denmark



Statistics Denmark. 2020. Labor Market Statistics Register. Copenhagen: Statistics Denmark



Statistics Denmark. 2020. Population Statistics Register. Copenhagen: Statistics Denmark