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Opinion: Who Pays for Public Employee Health Costs?

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<p>Research Briefs in Economic Policy No&period; 6<&sol;p>&NewLine;<p class&equals;"page-h1">&NewLine;<article>&NewLine;<footer class&equals;"byline">&NewLine;<div id&equals;"pub-authors"><em><strong>By Jeffrey Clemens and David M&period; Cutler<&sol;strong><&sol;em><&sol;div>&NewLine;<div class&equals;"field-date"><span class&equals;"date-display-single">July 23&comma; 2014<&sol;span><&sol;div>&NewLine;<&sol;footer>&NewLine;<div class&equals;"article-body body-text dropcap-detail-text">&NewLine;<div class&equals;"field-body">&NewLine;<p>The cost of health care for state and local government employees is increasing rapidly&comma; as it is for workers across the economy&period; Since state and local governments are large employers — one in seven people work for state and local governments — these cost increases are materially important&period; Estimates suggest that state and local governments spent &dollar;70 billion on <em><strong>health insurance<&sol;strong> <&sol;em>in 2001 &lpar;in 2012 dollars&rpar;&comma; and &dollar;117 billion in 2010&period; The real increase was roughly &dollar;2&comma;400 per state and local government employee&comma; or &dollar;150 per U&period;S&period; resident&period;<&sol;p>&NewLine;<p>Adjusting to these cost increases is more difficult for state and local governments than for private businesses&period; One strategy that businesses use to address rising costs is to pass those costs back to workers in the form of increased cost sharing for health insurance&comma; less generous coverage&comma; lower contributions to employee benefits&comma; or smaller wage increases &lpar;Summers&comma; 1989&semi; Gruber&comma; 1994&semi; Kolstad and Kowalski&comma; 2012&rpar;&period; However&comma; in a setting where wages and benefits are covered by union contracts — as is the case with a good share of state and local employees — the ability to effect these adjustments may be limited&period; When wages and benefit packages cannot be adjusted&comma; increases in health care spending are equivalent to an increase in input costs&comma; much like a price increase for electricity would be&period; In private businesses&comma; some of this cost increase would show up in higher prices&period; Prices are not as flexible in the public sector&comma; however&comma; since the price for state and local services is the tax rate&period; Tax increases may be directly constrained by institutions&comma; as with property tax limits in California&comma; or may be politically difficult&period; Debt issuance by state and local governments similarly faces institutional and political constraints&period; If limitations to adjustment of taxes and debt are binding&comma; that leaves reductions in inputs&comma; and with them the quality or amount of public service provision&comma; as the possible responses to increased benefit costs&period;<&sol;p>&NewLine;<p>The exact impact of rising benefit costs therefore depends on which aspects of public budgets are constrained and which are relatively flexible&period; When compensation schemes&comma; revenue&comma; and debt issuance are fixed&comma; cost increases may reduce the quality of public services &lpar;e&period;g&period;&comma; worse schools and more crime&rpar;&period; Loose deficit-financing restrictions may allow burdens to be shifted onto future taxpayers&period; Cross-government transfer arrangements &lpar;e&period;g&period;&comma; revenue sharing across school districts&rpar; may similarly loosen the revenue-raising constraints faced by local governments&period; Finally&comma; the strength of public-sector unions may drive the extent to which benefit costs can be shifted back onto government employees&period; The question of which margins will yield is ultimately empirical&period; Our research therefore focuses on examining data that can help identify which are the most important margins in practice&period;<&sol;p>&NewLine;<p>We undertake two types of empirical analysis&period; First&comma; we examine data describing how much state governments contribute to health insurance for their employees&period; We use these data to assess the extent to which state governments have shifted the costs of health insurance back to workers&comma; in the form of less generous coverage&period; We find that in recent years&comma; when fiscal conditions have been tight&comma; health insurance premiums for state workers have grown materially less rapidly than premiums for comparable private- sector employers&semi; this slower premium growth for state workers reflects&comma; for example&comma; changes from traditional comprehensive plans to networked plans&comma; increases in deductibles&comma; and&sol;or non-transparent reductions in access due to reductions in payments to providers&period; Interestingly&comma; the share of the premium paid by state workers has tended to rise in states with high rates of public-sector unionization&comma; where the employee share started at a low base&comma; while the share has fallen elsewhere&period;<&sol;p>&NewLine;<p>Our interpretation of these outcomes is as follows&period; During the good times that preceded the financial crisis and recession&comma; pension and health benefits were an effective&comma; non-transparent way to increase public-worker compensation&semi; state workers were able to build up such benefits without bearing significant costs in the form of wage offsets&period; When the crisis hit and budgets tightened&comma; public budgets fell under greater scrutiny&period; Because state workers were initially paying less than dollar-for-dollar of benefits&comma; their compensation was excessively tilted toward benefits&period; So when faced with compensation cuts&comma; state workers were relatively willing to accept benefit cuts&comma; which came in the form of stingier insurance and a higher worker-financed share of the premium&period;<&sol;p>&NewLine;<p>We next turn to an analysis of rising benefit costs in the context of school districts&comma; where workers’ health benefits have taken center stage in recent budget debates &lpar;Costrell and Dean&comma; 2013&rpar;&period; In this setting we can more fully assess the effects of benefits on total compensation costs&semi; total spending&semi; revenue raising&semi; and a proxy&comma; albeit a limited one&comma; for student outcomes — the dropout rate&period; The analysis relies on differences in baseline district benefit levels and differences in regional growth in health expenditures&semi; we use these to predict the benefit growth that would occur if school districts took no offsetting actions&period; Our initial finding&comma; namely&comma; that these &OpenCurlyDoubleQuote;exogenous” factors predict actual benefit growth quite accurately&comma; suggests that&comma; at least on average&comma; school districts did little to counteract benefit growth within the benefit package itself&period;<&sol;p>&NewLine;<p>Looking both across districts and across employee groups within districts &lpar;e&period;g&period;&comma; across teachers&comma; administrators&comma; maintenance&comma; and food-service workers&rpar;&comma; we find that only a small fraction of increases in benefit costs are offset through reductions in wages&period; Each dollar in benefit growth is associated with an 85-cent increase in total compensation&period; The results thus provide evidence that the market for public-sector workers deviates from the competitive&comma; private-sector benchmark analyzed by Summers &lpar;1989&rpar;&comma; Gruber &lpar;1994&rpar;&comma; and Kolstad and Kowalski &lpar;2012&rpar;&period; We next analyze how school districts finance these increases in benefits&period; To our initial surprise&comma; we find that benefit-driven increases in employee compensation were financed by transfers from higher levels of government&period;<&sol;p>&NewLine;<p>A detailed inspection of these revenues reveals that they come from sources subject to significant discretionary reporting &lpar;Cullen&comma; 2003&rpar;&period; One third of the relevant dollars are associated with &OpenCurlyDoubleQuote;categorical aid” for students classified as having special needs or requiring remedial education&period; Recent work documenting troublingly high error rates in school lunch programs &lpar;Bass&comma; 2010&rpar; emphasizes the flexibility of school reporting and the limitations of the systems through which eligibility claims are validated&period; We also find that the strength of teachers’ unions mediates school districts’ responses to benefit growth&period; The relationship between our projections of benefit growth and actual benefit growth is strongest in school districts with strong teachers’ unions&period; Districts with weak unions appear to have offset increases in health care costs much more through reductions in the generosity of benefits&period; Inflows of categorical aid also appear to be mediated by union strength&period; The same is true of inflows of general formula assistance&comma; though this result is imprecisely estimated&period;<&sol;p>&NewLine;<p>Finally&comma; we find that benefit growth was associated with declines in student performance as measured by dropout rates&period; The reorganization of students required to increase flows of categorical aid may thus have worked to students’ detriment&period; Because we estimate this final result with moderate precision on a sample severely constrained by data limitations&comma; it should be treated with caution&period;<&sol;p>&NewLine;<p><strong>NOTE<&sol;strong><br &sol;>&NewLine;This Research Brief is based on Clemens and Cutler &lpar;2014&rpar;&comma; available at <a href&equals;"http&colon;&sol;&sol;www&period;nber&period;org&sol;papers&sol;w19574" target&equals;"&lowbar;blank">ttp&colon;&sol;&sol;www&period;nber&period;org&sol;papers&sol;w19574<&sol;a>&period;<&sol;p>&NewLine;<&sol;div>&NewLine;<&sol;div>&NewLine;<&sol;article>&NewLine;<div class&equals;"pub-page-share-tools">&NewLine;<div class&equals;"pub-page-share-tools-rel"><&sol;div>&NewLine;<&sol;div>&NewLine;<p><&excl;-- share-tools --><&sol;p>&NewLine;<div class&equals;"pdf-section clearfix">&NewLine;<div class&equals;"field-cover-image"><img src&equals;"http&colon;&sol;&sol;object&period;cato&period;org&sol;sites&sol;cato&period;org&sol;files&sol;styles&sol;pdf&sol;public&sol;pubs&sol;covers&sol;research-brief-no-6&period;jpg&quest;itok&equals;hzfVFSoD" alt&equals;"" width&equals;"410" height&equals;"507" &sol;><&sol;div>&NewLine;<div class&equals;"cover-text">&NewLine;<h4 class&equals;"page-h2">Read the Full Research Brief in Economic Policy<&sol;h4>&NewLine;<ul class&equals;"byline">&NewLine;<li class&equals;"pdf first last"><a href&equals;"http&colon;&sol;&sol;object&period;cato&period;org&sol;sites&sol;cato&period;org&sol;files&sol;pubs&sol;pdf&sol;research&lowbar;brief&lowbar;no&period;&lowbar;6&period;pdf">&period;pdf &lpar;72&period;76 KB&rpar;<&sol;a><&sol;li>&NewLine;<&sol;ul>&NewLine;<&sol;div>&NewLine;<&sol;div>&NewLine;<div class&equals;"expert-attribution clearfix">&NewLine;<div class&equals;"expert-attribution-text quote">&NewLine;<div class&equals;"field-auth-bio"><em><strong>Jeffrey Clemens is an assistant professor of Economics at the University of California-San Diego&period; David M&period; Cutler is the Otto Eckstein Professor of Applied Economics at Harvard University&period;<&sol;strong><&sol;em><&sol;div>&NewLine;<&sol;div>&NewLine;<&sol;div>&NewLine;

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