Survey of Income and Program Participation (SIPP)

How Are SNAP Benefits Spent? Evidence from a Retail Panel

We use a novel retail panel with detailed transaction records to study the effect of the Supplemental Nutrition Assistance Program (SNAP) on house-hold spending. We use administrative data to motivate three approaches to causal inference. The marginal propensity to consume SNAP-eligible food (MPCF) out of SNAP benefits is 0.5 to 0.6. The MPCF out of cash is much smaller. These patterns obtain even for households for whom SNAP benefits are economically equivalent to cash because their benefits are below their food spending. Using a semiparametric framework, we reject the hypothesis that households respect the fungibility of money. A model with mental accounting can match the facts.

The PEPPER V Report - Kelso Institute Europe

This Report provides an overview of the development of employee financial participation, i.e., employee share ownership and profit sharing, across the EU-27, the United Kingdom, and the United States of America as of January 2024. Against the background of the policy development of the past 35 years, it highlights the growth of financial participation over the last decade using the most recent cross-country data available, i.e., the 2021 CRANET Survey, the 2019 European Company Survey and the 2015 European Working Conditions Survey, which also show its potential positive impact on employment and productivity.

Household Financial Transaction Data

The growth of the availability and use of detailed household financial transaction micro data has dramatically expanded the ability of researchers to understand both household decision making and aggregate economic fluctuations across a wide range of fields. This class of transaction data is derived from a myriad of sources, including financial institutions, FinTech apps, and payment intermediaries. We review how these detailed data have been utilized in finance and economics research and analyze both their benefits and limitations as compared to more traditional measures of income, spending, and wealth. Finally, we discuss the future potential of this flexible class of data in firm-focused research, real-time policy analysis, and macro statistics.

Global Data on Financial Inclusion | FinDev Gateway

Explore our curated list of data sources relevant for microfinance and financial inclusion.

So you want a behavioral finance job

I’m going to mainly focus on a career in the private sector, doing applied work. If you want to know about government work, ask Maya Shankar or Owain Service. If what I’ve written doesn’t answer your questions, ask me. Just have something specific and interesting to ask about! But first, some screeners: Is this a long-term interest? Is this something you want to dedicate at least a decade to? It should be, otherwise you’ll get out-competed by others.

Harnessing naturally occurring data to measure the response of spending to income

Balancing your incomings and outgoings Economic theory predicts that when someone receives money should have little effect on their spending patterns. Gelman et al. constructed a data set of 60 million transactions made by 75,000 people to test this theory. People do seem to go on a mini–spending spree after they get their paychecks or pensions. However, closer inspection reveals that that's mostly explained by the convenience of linking regular payments, such as rent and utilities, to regular income. Unsurprisingly, cash-strapped people are more likely to increase their spending in response to receiving income. Science , this issue p. 212 , How do theoretical predictions of individual fiscal behaviors match up against real-world, real-time data? , This paper presents a new data infrastructure for measuring economic activity. The infrastructure records transactions and account balances, yielding measurements with scope and accuracy that have little precedent in economics. The data are drawn from a diverse population that overrepresents males and younger adults but contains large numbers of underrepresented groups. The data infrastructure permits evaluation of a benchmark theory in economics that predicts that individuals should use a combination of cash management, saving, and borrowing to make the timing of income irrelevant for the timing of spending. As in previous studies and in contrast to the predictions of the theory, there is a response of spending to the arrival of anticipated income. The data also show, however, that this apparent excess sensitivity of spending results largely from the coincident timing of regular income and regular spending. The remaining excess sensitivity is concentrated among individuals with less liquidity.

Windfall Income and the Permanent Income Hypothesis: New Evidence

This paper examines consumer response to windfall income. By using data from the 1972–73 Consumer Expenditure Surveys, an attempt was made to test Friedman's permanent income hypothesis. The results revealed that the marginal propensity to consume regular income was greater than the marginal propensity to consume windfall income for windfalls that were large relative to regular income. However, when windfall income was less than ten percent of regular income, the relationship reversed. Implications are drawn for short and long‐run fiscal policies affecting consumers

Wave Dashboard

Interactive MRP estimates of American public opinion for every state and congressional district, from Wave's MOSAIC model.

Rules of Thumb in Household Savings Decisions: Estimation Using Threshold Regression

The rules of thumb offered by financial advisors regarding how much to hold in liquid reserves vary widely and usually imply far greater sums than low-income ho

Right on Time: How Cash Helps Families Move Through Life's Transitions - Economic Security Project

Executive Summary Over the past decade, more than 250 guaranteed income pilots, programs that provide people with regular cash with no restrictions on how they use it, have run across 40 states and the District of Columbia. That research has revealed many learnings, and this report focuses on one clear takeaway: cash has its largest…

Temporal Reframing and Participation in a Savings Program: A Field Experiment

This study explores whether framing savings in more or less granular formats can increase sign-ups for a recurring deposit program in a FinTech environment. , A growing number of American workers are now freelancers and thus, responsible for their own retirement savings, yet they face psychological hurdles that hamper them from saving enough money for the long term. Although prior theory-derived interventions have been successful in addressing some of these obstacles, encouraging participation in saving programs is a challenging endeavor for policy makers and consumers alike. In a field setting, we test whether framing savings in more or less granular formats (for example, saving daily versus monthly) can encourage continued saving behavior through increasing the take up of a recurring deposit program. Among thousands of new users of a financial technology app, we find that framing deposits in daily amounts as opposed to monthly amounts quadruples the number of consumers who enroll. Furthermore, framing deposits in more granular terms reduced the participation gap between lower- and higher-income consumers: three times as many consumers in the highest rather than lowest income bracket participated in the program when it was framed as a $150 monthly deposit, but this difference in participation was eliminated when deposits were framed as $5 per day.

Identifying heterogeneity using recursive partitioning: evidence from SMS nudges encouraging voluntary retirement savings in Mexico

Abstract Individuals regularly struggle to save for retirement. Using a large-scale field experiment (N=97,149) in Mexico, we test the effectiveness of several behavioral interventions relative to existing policy and each other geared toward improving voluntary retirement savings contributions. We find that an intervention framing savings as a way to secure one’s family future significantly improves contribution rates. We leverage recursive partitioning techniques and identify that the overall positive treatment effect masks subpopulations where the treatment is even more effective and other groups where the treatment has a significant negative effect, decreasing contribution rates. Accounting for this variation is significant for theoretical and policy development as well as firm profitability. Our work also provides a methodological framework for how to better design, scale, and deploy behavioral interventions to maximize their effectiveness.

Heterogeneous participation and allocation skews: when is choice "worth it"?

A core ethos of the Economics and Computation (EconCS) community is that people have complex private preferences and information of which the central planner is unaware, but which an appropriately designed mechanism can uncover to improve collective decisionmaking. This ethos underlies the community's largest deployed success stories, from stable matching systems to participatory budgeting. I ask: is this choice and information aggregation ``worth it''? In particular, I discuss how such systems induce \textit{heterogeneous participation}: those already relatively advantaged are, empirically, more able to pay time costs and navigate administrative burdens imposed by the mechanisms. I draw on three case studies, including my own work -- complex democratic mechanisms, resident crowdsourcing, and school matching. I end with lessons for practice and research, challenging the community to help reduce participation heterogeneity and design and deploy mechanisms that meet a ``best of both worlds'' north star: \textit{use preferences and information from those who choose to participate, but provide a ``sufficient'' quality of service to those who do not.}

AI Sovereign Compute Infrastructure Program

On this page About the AI Sovereign Compute Infrastructure Program Available funding Call for applications Contact us Related links About the AI Sovereign Compute Infrastructure Program The AI Sovereign Compute Infrastructure Program (SCIP) is a key initiative under the Canadian S

pfrazee/infocivics

Information Civics paper