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This article presents best practices and lessons learnt from on the experiences of the National Endowment for Financial Education® (NEFE), a private, nonprofit, nonpartisan and noncommercial foundation committed to increas- ing access to financial education and to empowering in- dividuals to make positive and sound financial decision.

This article provides a plain-language description of behavioral economics and the role of common biases in financial decisionmaking, and reviews ways in which the findings of behavioral economics can help structure financial education and public policy.

This article provides a brief overview of the field of financial education and explores some of the challenges and potential solutions. The author describes developments in the contemporary financial education movement since the 1990s and the background economic changes that stimulated its growth; reviews currently available financial education initiatives for youth and adults and discusses the evidence about its effectiveness as well as broader challenges for the field. The article concludes by highlighting both general and specific examples of efforts to move the field forward.

This article summarizes a Federal Reserve Board research study focusing on the effectiveness of a financial education program for military personnel. Soldiers attending the Army’s air defender advanced individualized training (AIT) at Ft. Bliss were offered a two-day financial education course taught by staff from San Diego City College.

Abstract: We examine 401(k) borrowing since 1992 and identify a puzzle: despite potential gains from borrowing against 401(k) assets instead of from other sources, most eligible households eschew 401(k) loans, including many who carry relatively expensive balances on credit cards and auto loans. We estimate that households with access to 401(k) loans could have saved about $3.3 billion in 2004--about $200 per household--by shifting debt to 401(k) loans.

Despite the growing importance of housing counseling, there is little systematic information about the industry. The industry is known to be marked by significant diversity in a number of dimensions, including the types of organizations involved, their organizational capacity, the types of clients served, the types of services delivered, and the funding sources used. The primary goal of this study is to provide a systematic overview of the housing counseling industry as of 2007.

Abstract: We explore the types of data used to characterize risky subprime lending and consider the geographic dispersion of subprime lending. First, we describe the strengths and weaknesses of three different datasets on subprime mortgages using information from LoanPerformance, HUD, and HMDA. These datasets embody different definitions of subprime mortgages. We show that estimates of the number of subprime originations are somewhat sensitive to which types of mortgages are categorized as subprime.

Millions of Americans have negative housing equity, meaning that the outstanding balance on their mortgage exceeds their home’s current market value. Our data show that the overwhelming majority of these households will not lose their homes. Our finding is consistent with historical evidence: we examine more than 100,000 homeowners in Massachusetts who had negative equity during the early 1990s and find that fewer than 10 percent of these owners eventually lost their home to foreclosure.

Increasingly, individuals are in charge of their own financial security and are confronted with ever more complex financial instruments. However, there is evidence that many individuals are not well-equipped to make sound saving decisions. This paper demonstrates widespread financial illiteracy among the U.S. population, particularly among specific demographic groups. Those with low education, women, African-Americans, and Hispanics display particularly low levels of literacy. Financial literacy impacts financial decision-making.

This study presents findings on how much Federal Housing Administration (FHA) borrowers pay in closing costs when they buy a house, how much these costs vary, and factors to which the variation is related. The analysis uses data from a national sample of 7,560 FHA-insured, 30-year fixed-rate home purchase loans closed in May and June of 2001.