Table 2.
(1) | (2) | (3) | (4) | |
---|---|---|---|---|
LLOS | LLOS | LLOS | LLOS | |
(#) | (#) | (#) | (#) | |
Is for profit (1/0) | 0.466*** | 0.326*** | 0.163*** | 0.210*** |
(0.026) | (0.043) | (0.058) | (0.057) | |
Estimator | PPML | PPML | PPML | PPML |
Coef. interpretation | Log Δ | Log Δ | Log Δ | Log Δ |
Decedents only | N | N | N | N |
Base FE | N | Y | N | N |
Base × Referrer FE | N | N | Y | N |
Base × Referrer × Med. FE | N | N | N | Y |
Mean of Y | 62.702 | 62.702 | 62.702 | 62.702 |
#[Hospice clusters] | 5005 | 5005 | 5005 | 5005 |
#[Referrer clusters] | 21 141 | 21 141 | 21 141 | 21 141 |
#[Effective observations] | 2 878 139 | 2 878 139 | 2 878 139 | 2 878 139 |
Abbreviation: LLOS, longer lifetime lengths-of-stay.
This table reports estimates from our regression analysis. It shows that for-profit hospice enrollees have longer LLOS than not for-profit hospice enrollees, even after accounting for a progressively richer set of pre-hospice characteristics. Referrer and hospice-level cluster-robust SEs in parentheses. *P < 0.10; **P < 0.05; ***P < 0.01. Base FE refers to enrollment year, county of residence, sex, race, MA enrollment, and hospice opening year fixed effects. Base × Referrer FE refers to adding institutional referral source fixed effect interactions. Base × Referrer × Med. FE refers to adding medical condition fixed effect interactions. Mean of Y reports the sample average value of the outcome. The effective number of observations is the number of observations remaining after dropping observations with missing values, singletons, and observations separated by a fixed effect.19 Source: authors' analysis of Medicare data.