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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">9510056</journal-id><journal-id journal-id-type="pubmed-jr-id">20569</journal-id><journal-id journal-id-type="nlm-ta">Inj Prev</journal-id><journal-id journal-id-type="iso-abbrev">Inj Prev</journal-id><journal-title-group><journal-title>Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention</journal-title></journal-title-group><issn pub-type="ppub">1353-8047</issn><issn pub-type="epub">1475-5785</issn></journal-meta><article-meta><article-id pub-id-type="pmid">32703905</article-id><article-id pub-id-type="pmc">8055473</article-id><article-id pub-id-type="doi">10.1136/injuryprev-2020-043675</article-id><article-id pub-id-type="manuscript">NIHMS1686831</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>State Earned Income Tax Credit policies and intimate partner homicide in the USA, 1990&#x02013;2016</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Moe</surname><given-names>Caitlin A</given-names></name><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-9318-2514</contrib-id><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Adhia</surname><given-names>Avanti</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Mooney</surname><given-names>Stephen J</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Hill</surname><given-names>Heather D</given-names></name><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Rivara</surname><given-names>Frederick P</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Rowhani-Rahbar</surname><given-names>Ali</given-names></name><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-2705-4485</contrib-id><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA</aff><aff id="A2"><label>2</label>Harborview Injury Prevention &#x00026; Research Center, University of Washington, Seattle, Washington, USA</aff><aff id="A3"><label>3</label>Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA</aff><aff id="A4"><label>4</label>Public Policy &#x00026; Governance, University of Washington Daniel J. Evans School of Public Affairs, Seattle, Washington, USA</aff><author-notes><fn fn-type="con" id="FN1"><p id="P1"><bold>Contributors</bold> CAM conducted analyses and was lead author. AA, SJM, HDH, FR and AR-R reviewed and edited manuscript drafts and provided conceptual and methodological support. AR-R oversaw analyses.</p></fn><corresp id="CR1"><bold>Correspondence to</bold>: Caitlin A Moe, Department of Epidemiology, University of Washington School of Public Health, Seattle, WA 98195, USA; <email>cmoe2@uw.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>27</day><month>3</month><year>2021</year></pub-date><pub-date pub-type="epub"><day>23</day><month>7</month><year>2020</year></pub-date><pub-date pub-type="ppub"><month>12</month><year>2020</year></pub-date><pub-date pub-type="pmc-release"><day>20</day><month>4</month><year>2021</year></pub-date><volume>26</volume><issue>6</issue><fpage>562</fpage><lpage>565</lpage><!--elocation-id from pubmed: 10.1136/injuryprev-2020-043675--><abstract id="ABS1"><p id="P2">Economic insecurity is a risk factor for intimate partner homicide (IPH). The Earned Income Tax Credit (EITC) is the largest cash transfer programme to low-income working families in the USA. We hypothesised that EITCs could provide financial means for potential IPH victims to exit abusive relationships and establish self-sufficiency. We conducted a national, quasiexperimental study of state EITCs and IPH rates in 1990&#x02013;2016 using a difference-in-differences approach. The national rate of IPH decreased from 1.9 per 100 000 adult women in 1990 to 1.3 per 100 000 in 2016. We found no statistically significant association between state EITC generosity and IPH rates (coefficient indicating change in IPH rates per 100 000 adult female years for additional 10% in amount of state EITC, measured as the percentage of federal EITC: 0.02, 95% CI &#x02212;0.03 to 0.08). Financial control associated with abuse and current EITC eligibility rules may prevent potential IPH victims from accessing the EITC.</p></abstract></article-meta></front><body><sec id="S1"><title>INTRODUCTION</title><p id="P3">Intimate partner violence (IPV) is an underappreciated public health burden, affecting 43 million adults in the USA.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Intimate partner homicide (IPH), the most extreme form of IPV, is often an escalation of IPV and accounts for over half (55.3%) of female homicides in the USA.<sup><xref rid="R2" ref-type="bibr">2</xref></sup></p><p id="P4">Poverty plays an outsized role in IPV, as both a cause and a consequence.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> It is estimated that 20%&#x02013;30% of women receiving welfare currently experience abuse, with 50%&#x02013;60% having lifetime histories of abuse.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> Economic control is a common feature in abusive relationships, making it difficult for victims of all income levels to maintain employment, escape abusers and establish safety and self-sufficiency.<sup><xref rid="R5" ref-type="bibr">5</xref></sup></p><p id="P5">The Earned Income Tax Credit (EITC) is the largest cash transfer programme to low-income working families in the USA.<sup><xref rid="R6" ref-type="bibr">6</xref></sup> The EITC programme issues a tax credit to low-earning workers based on pretax earnings, marital status and number of dependents. Many states augment the federal EITC with state EITCs, usually set as a fixed percentage of the federal EITC.</p><p id="P6">The EITC has been demonstrated to reduce poverty, increase employment and improve maternal and child health.<sup><xref rid="R7" ref-type="bibr">7</xref></sup> There are multiple mechanisms through which the EITC may exert its effect on health outcomes including increased family income, labour force participation and downstream effects on health determinants (eg, stress). Many of these determinants, such as stress and dysfunctional coping behaviours, are risk factors for IPV.<sup><xref rid="R8" ref-type="bibr">8</xref></sup> Moreover, as lack of financial resources is the most frequently cited barrier for women to leave abusive relationships, federal and state EITCs could provide financial means to leave abusive partners.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> However, the current EITC eligibility rules&#x02014;specifically, that married individuals cannot receive EITCs when filing separate returns&#x02014;and financial control associated with abuse may hinder the programme&#x02019;s use for this purpose. We hypothesised that increased generosity in state EITCs would be associated with a reduction in IPH rates.</p></sec><sec id="S2"><title>METHODS</title><sec id="S3"><title>Measures</title><p id="P7">Our outcome was state-year estimates of IPH reported in Supplementary Homicide Reports (SHRs). SHRs are voluntarily submitted by law enforcement agencies to the Federal Bureau of Investigation (FBI) and provide the most comprehensive data on homicide victim&#x02013;offender relationship in the USA. However, not all jurisdictions report their data each year, and many records are missing victim&#x02013;offender relationship, largely due to an increasing number of unsolved homicides. To mitigate these limitations, we used a multiply-imputed SHR data set that accounts for under-reporting of homicides and missing data on offender characteristics that has been used in other studies.<sup><xref rid="R9" ref-type="bibr">9</xref><xref rid="R10" ref-type="bibr">10</xref></sup> We applied weights to produce state-level estimates of IPH compatible with the FBI&#x02019;s Uniform Crime Reporting Program.<sup><xref rid="R11" ref-type="bibr">11</xref></sup> The dependent variable was the annual rate of IPH per 100 000 state adult female population for the years 1990&#x02013;2016. IPH victims included females aged 18 years or over identified as spouses, ex-spouses, girl-friends or homosexual partners of the offender.</p><p id="P8">Our main exposure was generosity of refundable state EITCs, measured by percentage of federal EITC.<sup><xref rid="R12" ref-type="bibr">12</xref></sup> Prior research has treated refundable and non-refundable EITCs differently because non-refundable EITCs only reduce tax liability and are far less beneficial to the eligible population, particularly to the lowest earnings individuals, who often have no tax liability.<sup><xref rid="R13" ref-type="bibr">13</xref></sup> For example, more than 85% of federal EITC benefits are provided as a refundable credit rather than a reduction in tax liability.<sup><xref rid="R14" ref-type="bibr">14</xref></sup> In addition, non-refundable EITCs have no association or a much weaker association than do refundable EITCs with health outcomes.<sup><xref rid="R7" ref-type="bibr">7</xref><xref rid="R15" ref-type="bibr">15</xref></sup> Therefore, in our main analysis of generosity, we compared states with refundable EITCs with those with non-refundable or no EITC.</p><p id="P9">Of the 1350 state-years for the 50 states in years 1990&#x02013;2016, 20 state-years (1%) were missing IPH data and dropped. Between 1990 and 2016, 15 states introduced refundable EITC and 19 states increased the amount of their state EITC at least once. Adjusted for inflation, the maximum federal EITC credit for a family with three dependents was $1750 in 1990 and $6269 in 2016.<sup><xref rid="R16" ref-type="bibr">16</xref></sup></p></sec><sec id="S4"><title>Statistical analysis</title><p id="P10">Using a difference-in-differences approach, we estimated the association between state EITC generosity and rates of IPH per 100 000 adult female population. In addition to state and year fixed effects, and guided by prior literature,<sup><xref rid="R17" ref-type="bibr">17</xref><xref rid="R18" ref-type="bibr">18</xref></sup> the models adjusted for factors potentially associated with EITC policy and IPH rates that varied differentially by state over time. These include non-familial homicide rates (using multiply-imputed SHR), estimates of firearm ownership (RAND Corporation) and per capita alcohol consumption (National Institute on Alcohol Abuse and Alcoholism). We also controlled for measures of state economic and policy context: gross state domestic product in $100 000 s, maximum Temporary Assistance for Needy Families benefit in $1000 s and state minimum wage (dollars per hour).<sup><xref rid="R16" ref-type="bibr">16</xref></sup> We controlled for state demographic characteristics with the proportion of females to males aged 25 years or over with college or higher educational attainment, the population percentage of uninsured, per cent black, per cent divorced and per cent married (all from US Census). All demographic covariates were linearly interpolated between decennial US Censuses from 1990 to 2010 and from the US Census&#x02019; American Community Survey for years 2011&#x02013;2016. All monetary variables were adjusted for inflation to 2016 dollars.</p><p id="P11">We used linear regression models with state-fixed and year-fixed effects to assess the effects of state-level changes in EITC generosity on IPH rates. We performed three sensitivity analyses with the same regression approach: in sensitivity analysis 1, we evaluated changes in state EITC generosity (% of federal EITC) with no distinction between refundable and non-refundable EITCs. In sensitivity analysis 2, we included a binary variable for refundability and an interaction between that variable and the continuous variable for EITC generosity. In sensitivity analysis 3, we assessed lagged effects of EITCs by 1 year using the main model. We assessed for parallel trends in IPH rates between states that ever and never implemented refundable EITCs using its interaction with time during pre-EITC years.</p><p id="P12">All analyses were conducted in Stata v.15.1.</p></sec></sec><sec id="S5"><title>RESULTS</title><p id="P13">The national average rate of IPH decreased slightly from 1.9 per 100 000 adult females in 1990 to 1.3 per 100 000 in 2016, with a range of 0 in some state-years (n=14) to 5.4 per 100 000 in Louisiana (1991). The state-years with the highest rates of IPH were in Alaska, Arkansas, Louisiana, Nevada and South Carolina (<xref rid="F1" ref-type="fig">figure 1</xref>). Comparing states without EITC to those which later enacted EITC, we found support for the parallel trends assumption (p for interaction=0.128).</p><p id="P14">In the main analysis, there was no statistically significant association between state refundable EITC generosity and IPH rates (coefficient indicating change in IPH rates per 100 000 adult female-years for additional 10% state EITC, as measured by percentage of federal EITC: 0.02, 95% CI &#x02212;0.03 to 0.08) (<xref rid="T1" ref-type="table">table 1</xref>). Results of sensitivity analyses supported the findings of the main analysis: In sensitivity analysis 1, we found no significant association between EITC generosity (refundable or non-refundable) and IPH rates. In sensitivity analysis 2, we found no significant interaction between generosity and refundability status in their association with IPH rates, with generosity in neither refundable nor non-refundable EITCs significantly associated with IPH rates. In sensitivity analysis 3, we found no significant association between lagged EITC and IPH rates (<xref rid="T1" ref-type="table">table 1</xref>).</p></sec><sec id="S6"><title>DISCUSSION</title><p id="P15">In this national study conducted using data over a 27-year period, increases in state EITC were not significantly associated with IPH rates. To our knowledge, this is the first national study assessing the impact of EITC policies on IPH rates. EITC is a popular programme among advocates for IPV survivors as a promising means for victims to leave abusive relationships. However, EITC benefits may not effectively reach these victims. Potential reasons for lack of association may include: (1) economic abuse or control of finances by the abusive partner<sup><xref rid="R3" ref-type="bibr">3</xref>&#x02013;<xref rid="R5" ref-type="bibr">5</xref></sup>; (2) prohibitive eligibility requirements for receiving the EITC<sup><xref rid="R19" ref-type="bibr">19</xref></sup>; and (3) insufficient data quality of IPH reporting and limited power to detect changes in IPH rates due to its relative rarity.</p><p id="P16">IPV usually involves financial control that may prevent access to EITC funds and stymie the ability to maintain employment.<sup><xref rid="R3" ref-type="bibr">3</xref><xref rid="R5" ref-type="bibr">5</xref></sup> Moreover, IPV victims who leave or are abandoned by their spouses are generally required to file taxes as married filing separately, which makes them ineligible for the EITC.<sup><xref rid="R19" ref-type="bibr">19</xref></sup> Some states are recognising the need to increase accessibility to EITC. For example, in 2017 Massachusetts enacted a provision to expand access to the EITC by victims of IPV, regardless of their filing status.<sup><xref rid="R20" ref-type="bibr">20</xref></sup></p><p id="P101">Our study examined the effect of state EITC policies at the population level, but we were not able to identify effects of EITC among individuals who actually received the credit. Additionally, the internal validity of our results could be threatened by unobserved covariates that varied differentially by state over time. Further research should explore the causal pathways between income supplements and IPV, such as family income, labour force participation and downstream effects on stress and coping behaviours. Future research should also evaluate changes in policies (eg, in Massachusetts) that aim to increase accessibility of EITC for IPV victims because cash transfers may be a promising mechanism of primary prevention if benefits reach the targeted population subgroups.</p></sec></body><back><ack id="S7"><title>Acknowledgements</title><p id="P18">We would like to acknowledge James Alan Fox, PhD, for assistance in procuring data, and support provided by a cooperative agreement with the Centers for Disease Control &#x00026; Prevention.</p><sec id="S101"><title>Funding</title><p id="P19">This study was funded by a cooperative agreement with the Centers for Disease Control and Prevention (1U01CE002945).</p></sec></ack><fn-group><fn fn-type="COI-statement" id="FN2"><p id="P20"><bold>Competing interests</bold> AR-R is on the editorial board of <italic>Injury Prevention</italic>.</p></fn><fn id="FN3"><p id="P21"><bold>Patient and public involvement</bold> Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.</p></fn><fn id="FN4"><p id="P22"><bold>Patient consent for publication</bold> Not required.</p></fn><fn id="FN5"><p id="P23"><bold>Ethics approval</bold> This study was approved by the University of Washington&#x02019;s Institutional Review Board.</p></fn><fn id="FN6"><p id="P24"><bold>Provenance and peer review</bold> Not commissioned; internally peer reviewed.</p></fn></fn-group><ref-list><title>REFERENCES</title><ref id="R1"><label>1</label><mixed-citation publication-type="journal"><name><surname>Peterson</surname><given-names>C</given-names></name>, <name><surname>Kearns</surname><given-names>MC</given-names></name>, <name><surname>McIntosh</surname><given-names>WL</given-names></name>, <etal/>
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<date-in-citation>6 Jan 2020</date-in-citation>].</mixed-citation></ref></ref-list></back><floats-group><fig id="F1" orientation="portrait" position="float"><label>Figure 1</label><caption><p id="P25">Intimate partner homicides (IPH) of adult females per 100 000 by state, 1990&#x02013;2016.</p></caption><graphic xlink:href="nihms-1686831-f0001"/></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1</label><caption><p id="P26">Association between state Earned Income Tax Credit generosity and intimate partner homicide in all US states, 1990&#x02013;2016</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">Coef<xref rid="TFN2" ref-type="table-fn">*</xref><xref rid="TFN3" ref-type="table-fn">&#x02020;</xref> (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">P value</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Main model</td><td align="center" valign="middle" rowspan="1" colspan="1">0.02 (&#x02212;0.03 to 0.08)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.416</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Sensitivity analysis 1</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;0.02 (&#x02212;0.07 to 0.03)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.429</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Sensitivity analysis 2</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;0.02 (&#x02212;0.07 to 0.04)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.560</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Sensitivity analysis 3</td><td align="center" valign="middle" rowspan="1" colspan="1">0.04 (&#x02212;0.03 to 0.11)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.234</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P27">Sensitivity analysis 1: EITC generosity, including both refundable and non-refundable without any distinction between them; sensitivity analysis 2: binary refundability status, continuous EITC generosity and their interaction (the coefficient presented pertains to refundable EITC as the main focus of this study); sensitivity analysis 3: 1-year lagged EITC treated the same as in the main model.</p></fn><fn id="TFN2"><label>*</label><p id="P28">Adjusted for: non-familial homicide rate, state gross domestic product, maximum TANF benefit, minimum wage, ratio of females to males aged 25 years or older with a college degree or higher, per cent uninsured, firearm ownership, per cent female-headed households, per cent black, per cent married, per cent divorced and per capita alcohol consumption.</p></fn><fn id="TFN3"><label>&#x02020;</label><p id="P29">Coefficient indicates change in IPH rates per 100 000 female adult-years for additional 10% in state EITC (measured as percentage of federal EITC).</p></fn><fn id="TFN4"><p id="P30">EITC, Earned Income Tax Credit; TANF, Temporary Assistance for Needy Families.</p></fn></table-wrap-foot></table-wrap><boxed-text id="BX1" position="float" orientation="portrait"><sec id="S8"><title>What is already known on the subject</title><list list-type="bullet" id="L2"><list-item><p id="P31">The Earned Income Tax Credit (EITC) is the largest cash transfer programme to low-income working families in the USA.</p></list-item><list-item><p id="P32">The EITC improves maternal and child health outcomes that share some determinants with violence outcomes such as intimate partner homicide (IPH).</p></list-item></list></sec><sec id="S9"><title>What this study adds</title><list list-type="bullet" id="L4"><list-item><p id="P33">We found no statistically significant association between state EITC generosity and IPH rates.</p></list-item><list-item><p id="P34">Economic control in abusive relationships and EITC eligibility rules may prohibit victims of abuse from accessing EITC benefits.</p></list-item></list></sec></boxed-text></floats-group></article>