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005 | 20240312064555.0 | ||
008 | 240312b |||||||| |||| 00| 0 eng d | ||
022 | _a00222186 | ||
040 |
_aMSU _bEnglish _cMSU _erda |
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050 | 0 | 0 | _aHB73 JOU |
100 | 1 |
_aDafny, Leemore _eauthor |
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245 | 1 | 0 |
_aEstimation and Identification of Merger Effects: _ban Application to Hospital Mergers _ccreated by Leemore Dafny |
264 |
_aChicago: _bUniversity of Chicago Press; _c2009. |
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336 |
_2rdacontent _atext _btxt |
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337 |
_2rdamedia _aunmediated _bn |
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338 |
_2rdacarrier _avolume _bnc |
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440 |
_aJournal of Law and Economics _vVolume 52, number 3 |
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520 | _aExisting empirical estimates of merger effects are compromised by the fact that merging and nonmerging entities differ in unobserved ways that independently affect outcomes of interest. To obtain an unbiased estimate of the effect of consummated mergers, I propose an approach that focuses on the response of rivals to mergers and accounts for the endogeneity of exposure to these mergers. I apply this approach to evaluate the impact of independent hospital mergers in the United States between 1989 and 1996. Using the physical colocation of rivals as an instrument for whether they merge, I find a sizeable, one‐time increase in price following a rival’s merger, with the greatest increase occurring among hospitals nearest the merging hospitals. These results are more consistent with predictions from structural models of the hospital industry than with prior observational estimates of the effects of hospital mergers | ||
650 |
_aConsumer prices _vHealth maintenance organizations _xHospital costs |
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650 |
_aHospital separations _vHospitals _xInstrumental variables estimation |
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650 |
_aMarket prices _vMedicare _xModeling |
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856 | _uhttps://doi.org/10.1086/600079 | ||
942 |
_2lcc _cJA |
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999 |
_c164255 _d164255 |