<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T07:58:55Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/164579" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/164579</identifier><datestamp>2026-01-21T04:07:33Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Thesmar, David</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Gamble IV, James Monroe</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2026-01-20T19:46:35Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2026-01-20T19:46:35Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2025-09</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2025-09-03T19:51:17.984Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/164579</dim:field>
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   <dim:field mdschema="dc" element="description" qualifier="abstract">This paper examines how asset limits in means-tested welfare programs shape household saving behavior. I exploit cross-state variation in Temporary Assistance for Needy Families (TANF) asset limits by linking these limits to individual-level data from the Survey of Income and Program Participation (SIPP) and estimating ordinary least squares (OLS) regressions with state and year fixed effects. I find that a $1 increase in the liquid asset limit corresponds to a $0.75 decrease in non-housing wealth among single mothers without a high school diploma. This suggests that less stringent asset tests reduce incentives to save, consistent with models in which more generous public insurance lowers the need for precautionary saving.&#xd;
&#xd;
To interpret these findings, I develop a dynamic life-cycle model of saving under income and medical expense risk, calibrated to key moments from the Hubbard, Skinner, and Zeldes framework. The model embeds Medicaid-style transfer rules and a guaranteed consumption floor. Simulations indicate that a $7,000 consumption floor can reduce median assets by up to 20% among low-education households, reflecting a decrease in self-insurance as public support increases. I then extend the model to include Achieving a Better Life Experience (ABLE) accounts, which are tax-advantaged savings vehicles for individuals with disabilities exempt from means testing. Simulations indicate that ABLE eligibility increases early-life consumption by approximately $10,000 and reduces retirement savings, with account holders shifting more spending into their working years. Together, these results yield a direct mapping from policy levers, including asset-limit generosity, earnings disregards, childcare subsidies, and ABLE exemption rules, to predicted shifts in median household assets. This offers policymakers a practical tool to balance public insurance and private precautionary savings.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">S.M.</dim:field>
   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
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   <dim:field mdschema="dc" element="title">Asset Limits, Savings Behavior, and Welfare: Evidence from the SIPP and a Life-Cycle Model</dim:field>
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   	&lt;Title>Asset Limits, Savings Behavior, and Welfare: Evidence from the SIPP and a Life-Cycle Model&lt;/Title>
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   	&lt;PublicationDate>2025-09&lt;/PublicationDate>
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        	&lt;DisplayName>Gamble IV, James Monroe&lt;/DisplayName>
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   	&lt;Abstract>This paper examines how asset limits in means-tested welfare programs shape household saving behavior. I exploit cross-state variation in Temporary Assistance for Needy Families (TANF) asset limits by linking these limits to individual-level data from the Survey of Income and Program Participation (SIPP) and estimating ordinary least squares (OLS) regressions with state and year fixed effects. I find that a $1 increase in the liquid asset limit corresponds to a $0.75 decrease in non-housing wealth among single mothers without a high school diploma. This suggests that less stringent asset tests reduce incentives to save, consistent with models in which more generous public insurance lowers the need for precautionary saving.&#xd;
&#xd;
To interpret these findings, I develop a dynamic life-cycle model of saving under income and medical expense risk, calibrated to key moments from the Hubbard, Skinner, and Zeldes framework. The model embeds Medicaid-style transfer rules and a guaranteed consumption floor. Simulations indicate that a $7,000 consumption floor can reduce median assets by up to 20% among low-education households, reflecting a decrease in self-insurance as public support increases. I then extend the model to include Achieving a Better Life Experience (ABLE) accounts, which are tax-advantaged savings vehicles for individuals with disabilities exempt from means testing. Simulations indicate that ABLE eligibility increases early-life consumption by approximately $10,000 and reduces retirement savings, with account holders shifting more spending into their working years. Together, these results yield a direct mapping from policy levers, including asset-limit generosity, earnings disregards, childcare subsidies, and ABLE exemption rules, to predicted shifts in median household assets. This offers policymakers a practical tool to balance public insurance and private precautionary savings.&lt;/Abstract>
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