Managerial turnover in primary care clinics
icpsr_188681
Samuel Cole, Duha T. Altindag (2023). Economic Inquiry
DOI: 10.1111/ecin.13160
| field | value |
|---|---|
| venue | Economic Inquiry |
| discipline | public_health |
| paper | 10.1111/ecin.13160 |
| replication data | openICPSR 188681 |
| data license | CC BY 4.0 (openICPSR project page 188681 (maintainer-read 2026-07-20)) — “This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.” |
| regression datasets (in this corpus) | 4 |
| graduated / eligible / exported | 4 / 6 / 80 (policy claims_manual_regression_cap) |
| routed / gap / residue (at source) | 22 / 21 / 0 |
Claims & tasks
Every claim the paper makes in its main body about a parameter, joined to the benchmark task (dataset · coefficient) that captures it. The effect, s.e. and p are the captured regression's own reported values (the paper's Stata figures, carrying the paper's SE method); the row shows the paper's verbatim quote (page · exhibit), so you can confirm the regression matches what the paper says. The prominence column is the within-study inclusion signal (⭐ headline → primary → secondary). The sensitivity column is the privacy level of the most-sensitive variable in the regression (🔴 high / 🟠 medium / ⚪ low).
| # | prominence | sensitivity | claim | effect | s.e. | p | task | instance (dataset · coef) |
|---|---|---|---|---|---|---|---|---|
| C1 | ⭐ primary | 🔴 high | “This result implies that a $1,000,000 increase in profits above zero decreases an administrator's risk of losing her/his job by one percentage point (4% relative to the mean of the outcome).” — p. 13 “Specifically, the coefficient of Prof itþ is −0.010, and it is statistically different from zero.” — p. 13 “Mainly, consistent with the non‐profit nature of these clinics, while large positive profits reduce the risk of job loss, losses do not have an effect on the probability of remaining employed.” — p. 13 Table 5, col 1 (Outcome: Job loss next year (1)) |
-0.010 | 0.004 | 0.032 | Linear Regression | reg_13 · Positive_profn=13131 · d=35 |
| C2 | ⭐ primary | 🔴 high | “On the other hand, a $1 million increase in losses below zero does not significantly affect their chance of future employment as clinic administrators.” — p. 2 “Mainly, consistent with the non‐profit nature of these clinics, while large positive profits reduce the risk of job loss, losses do not have an effect on the probability of remaining employed.” — p. 13 “On the contrary, the coefficient for Prof it− , which represents the marginal effect of each additional dollar lost, is small and not statistically different from zero.” — p. 13 Table 5, col 1 (Outcome: Job loss next year (1)) |
+0.001 | 0.003 | 0.684 | Linear Regression | reg_13 · Negative_profn=13131 · d=35 |
| C3 | ⭐ primary | 🔴 high | “They show that for each $1 million increase in profit (about 40% of a standard deviation), the administrator's probability of losing her/his job in the next period decreases by 0.5 percentage points.” — p. 10 “This effect corresponds to an increase of roughly 2% relative to the mean level of the outcome (26 percentage points).” — p. 10 “Specifically, holding constant the extent of a clinic's healthcare provision and a proxy for the quality of its services, a $1 million increase in its profits reduces the probability that its administrator will be replaced in the next year by about 2% relative to the mean level of administrator dismissal.” — p. 2 Table 4, col 1 (Outcome: Job loss next year (1)) |
-0.005 | 0.002 | 0.021 | Linear Regression | reg_9__1 · real_profitn=13131 · d=34 |
| C4 | ⭐ primary | 🔴 high | “We find that, compared to the years when a clinic had zero or negative profits, its administrator's probability of losing her/his job decreases by 2.5 percentage points when their clinic generates positive profits, nearly 10% relative to the mean level of the outcome.” — p. 10 “We show that a $1 million increase in profit above zero promotes the administrator's chance of being retained by about 4%.” — p. 2 Table 4, col 2 (Outcome: Job loss next year (2)) |
-0.025 | 0.012 | 0.034 | Linear Regression | reg_9__2 · 1.gainn=13131 · d=34 |
| C5 | ⭐ primary | 🔴 high | “A one standard deviation increase in clinic profit decreases the probability of job loss by 1.4 percentage points (5% of the average of the outcome).” — p. 10 “A standard deviation increase in profit ($2.49 million) translates to greater than a 5% reduction in an administrator's chance of job loss, relative to the mean level of administrator dismissal.” — p. 19 Table 4, col 3 (Outcome: Job loss next year (3)) |
-0.014 | 0.006 | 0.021 | Linear Regression | reg_9__3 · standard_prof2n=13131 · d=34 |
| C6 | secondary | 🔴 high | Coefficients for the quantity of care provided demonstrate the expected negative relationship with job loss, though these effects are not statistically significant. p. 10 · Table 4, col 1 (Outcome: Job loss next year (1)) |
-0.003 | 0.002 | 0.284 | Linear Regression | reg_9__1 · visitsn=13131 · d=34 |
| C7 | secondary | 🔴 high | Results indicate that a one standard deviation increase in our quality measure corresponds to a 1.1 percentage point reduction in the chance of job loss in the next period. p. 10 · Table 4, col 1 (Outcome: Job loss next year (1)) |
-0.011 | 0.004 | 0.011 | Linear Regression | reg_9__1 · QUALITY2n=13131 · d=34 |
| C8 | secondary | 🔴 high | Each additional year of work in the clinic as a manager increases the probability of job loss by 1.6 percentage points. p. 10 · Table 4, col 1 (Outcome: Job loss next year (1)) |
+0.016 | 0.005 | 0.001 | Linear Regression | reg_9__1 · experiencen=13131 · d=34 |
| C9 | secondary | 🔴 high | The coefficient of Imminent/Recent Ownership Change is 0.049, which implies clinic managers are more likely to be replaced around the time that their clinics are acquired. p. 10 · Table 4, col 1 (Outcome: Job loss next year (1)) |
+0.049 | 0.015 | 0.001 | Linear Regression | reg_9__1 · recent_parent_changen=13131 · d=34 |
| C10 | secondary | 🔴 high | Coefficients for the quantity of care provided demonstrate the expected negative relationship with job loss, though these effects are not statistically significant. p. 10 · Table 4, col 2 (Outcome: Job loss next year (2)) |
-0.004 | 0.002 | 0.136 | Linear Regression | reg_9__2 · visitsn=13131 · d=34 |
| C11 | secondary | 🔴 high | Results indicate that a one standard deviation increase in our quality measure corresponds to a 1.1 percentage point reduction in the chance of job loss in the next period. p. 10 · Table 4, col 2 (Outcome: Job loss next year (2)) |
-0.011 | 0.004 | 0.010 | Linear Regression | reg_9__2 · QUALITY2n=13131 · d=34 |
| C12 | secondary | 🔴 high | Each additional year of work in the clinic as a manager increases the probability of job loss by 1.6 percentage points. p. 10 · Table 4, col 2 (Outcome: Job loss next year (2)) |
+0.016 | 0.005 | 0.001 | Linear Regression | reg_9__2 · experiencen=13131 · d=34 |
| C13 | secondary | 🔴 high | The coefficient of Imminent/Recent Ownership Change is 0.049, which implies clinic managers are more likely to be replaced around the time that their clinics are acquired. p. 10 · Table 4, col 2 (Outcome: Job loss next year (2)) |
+0.049 | 0.015 | 0.001 | Linear Regression | reg_9__2 · recent_parent_changen=13131 · d=34 |
| C14 | secondary | 🔴 high | Coefficients for the quantity of care provided demonstrate the expected negative relationship with job loss, though these effects are not statistically significant. p. 10 · Table 4, col 3 (Outcome: Job loss next year (3)) |
-0.003 | 0.002 | 0.284 | Linear Regression | reg_9__3 · visitsn=13131 · d=34 |
| C15 | secondary | 🔴 high | Results indicate that a one standard deviation increase in our quality measure corresponds to a 1.1 percentage point reduction in the chance of job loss in the next period. p. 10 · Table 4, col 3 (Outcome: Job loss next year (3)) |
-0.011 | 0.004 | 0.011 | Linear Regression | reg_9__3 · QUALITY2n=13131 · d=34 |
| C16 | secondary | 🔴 high | Each additional year of work in the clinic as a manager increases the probability of job loss by 1.6 percentage points. p. 10 · Table 4, col 3 (Outcome: Job loss next year (3)) |
+0.016 | 0.005 | 0.001 | Linear Regression | reg_9__3 · experiencen=13131 · d=34 |
| C17 | secondary | 🔴 high | The coefficient of Imminent/Recent Ownership Change is 0.049, which implies clinic managers are more likely to be replaced around the time that their clinics are acquired. p. 10 · Table 4, col 3 (Outcome: Job loss next year (3)) |
+0.049 | 0.015 | 0.001 | Linear Regression | reg_9__3 · recent_parent_changen=13131 · d=34 |
Regression datasets
The 4 regression dataset(s) graduated into the benchmark corpus from this study's replication package — each backs one or more claims above. Expand each for its features, response, (sound, data-independent) public bounds, and reproduction grade.
icpsr_188681_reg_13 — job_loss ~ Positive_prof + Negative_prof + visits + QUALITY2 + 1.female + 1.minority + MD…
Sensitivity proposal: 🔴 high maximum across columns (advisory; reviewed manually).
Reproduction grade: ✅ match (benchmark-eligible).
Features
| name | description | type | sensitivity | bound lo | bound hi | estimate | s.e. |
|---|---|---|---|---|---|---|---|
Positive_prof |
Clinic profit amount when positive (gain) | continuous | ⚪ low | — | — | -0.009503 | 0.00443 |
Negative_prof |
Clinic profit amount when negative (loss) | continuous | ⚪ low | — | — | +0.00115 | 0.00282 |
visits |
Number of clinic patient visits | continuous | ⚪ low | — | — | -0.002116 | 0.00242 |
QUALITY2 |
Clinic quality measure/index | continuous | ⚪ low | — | — | -0.01096 | 0.00427 |
1.female |
Administrator gender (female) indicator | categorical | 🟠 medium | -1.0 | 1.0 | +0.004168 | 0.0195 |
1.minority |
Administrator race/ethnicity minority indicator | categorical | 🔴 high | -1.0 | 1.0 | +0.03084 | 0.0192 |
MD2 |
Administrator holds MD/physician credential indicator | continuous | 🟠 medium | -1.0 | 1.0 | +0.006623 | 0.0303 |
experience |
Administrator's years of work experience | continuous | 🟠 medium | — | — | +0.01586 | 0.00494 |
experience_square |
Squared years of administrator experience | continuous | 🟠 medium | — | — | +0.0004391 | 0.00035 |
number_clinics_within_proximity |
Count of nearby competing clinics | continuous | ⚪ low | — | — | -0.00654 | 0.00526 |
employees |
Number of clinic employees | continuous | ⚪ low | — | — | -0.0007537 | 0.0114 |
population |
County population count | continuous | ⚪ low | — | — | -0.04205 | 0.0361 |
county_med_hh_income |
County median household income | continuous | ⚪ low | — | — | +0.001655 | 0.00156 |
unemployment_rate_in_county |
County unemployment rate | continuous | ⚪ low | -100.0 | 100.0 | -0.007991 | 0.00759 |
free_clinic |
Clinic operates as free clinic indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.02423 | 0.0604 |
recent_parent_change |
Recent/imminent clinic ownership change indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.04832 | 0.0151 |
parent |
Clinic has parent ownership organization indicator | continuous | ⚪ low | -1.0 | 1.0 | -0.04231 | 0.0211 |
Rural |
Clinic located in rural area indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.02536 | 0.0562 |
2.Clin_fqhc_or_like |
Clinic type category (FQHC or similar) | categorical | ⚪ low | — | — | +0.02635 | 0.0315 |
3.Clin_fqhc_or_like |
Clinic type category (FQHC or similar) | categorical | ⚪ low | — | — | -0.003828 | 0.0334 |
2003.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2506 | 0.0254 |
2004.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2697 | 0.0274 |
2005.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2321 | 0.0313 |
2006.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.255 | 0.0343 |
2007.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2594 | 0.0349 |
2008.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2349 | 0.0376 |
2009.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2314 | 0.0516 |
2010.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2022 | 0.0577 |
2011.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2045 | 0.0545 |
2012.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2249 | 0.0485 |
2013.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.1822 | 0.044 |
2014.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2257 | 0.0435 |
2015.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2728 | 0.0439 |
2016.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2422 | 0.048 |
2017.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2407 | 0.053 |
Response
| name | description | type | sensitivity | bound lo | bound hi | estimate | s.e. |
|---|---|---|---|---|---|---|---|
job_loss |
Administrator lost job next period indicator | continuous | 🟠 medium | -1.0 | 1.0 | — | — |
Public bounds (data-independent) sourced from: binary indicator; binary indicator; employment/labour outcome; binary indicator; facility location, not person; binary indicator; facility not person; binary indicator; facility ownership event not person; binary indicator; facility ownership status not person; binary indicator; race/ethnicity classification; plausible generic calendar year range; wave/time indicator; rate typically expressed as a percentage; county-level, not person.
n = 13,131 samples.
icpsr_188681_reg_9__1 — job_loss ~ real_profit + visits + QUALITY2 + 1.female + 1.minority + MD2 + experience + e…
Sensitivity proposal: 🔴 high maximum across columns (advisory; reviewed manually).
Reproduction grade: ✅ match (benchmark-eligible).
Features
| name | description | type | sensitivity | bound lo | bound hi | estimate | s.e. |
|---|---|---|---|---|---|---|---|
real_profit |
Clinic real profit in dollars | continuous | ⚪ low | — | — | -0.00505 | 0.00219 |
visits |
Number of clinic patient visits | continuous | ⚪ low | — | — | -0.002611 | 0.00244 |
QUALITY2 |
Clinic quality measure/index | continuous | ⚪ low | — | — | -0.01081 | 0.00427 |
1.female |
Administrator gender (female) indicator | categorical | 🟠 medium | -1.0 | 1.0 | +0.004178 | 0.0195 |
1.minority |
Administrator race/ethnicity minority indicator | categorical | 🔴 high | -1.0 | 1.0 | +0.03078 | 0.0191 |
MD2 |
Administrator holds MD/physician credential indicator | continuous | 🟠 medium | -1.0 | 1.0 | +0.006826 | 0.0303 |
experience |
Administrator's years of work experience | continuous | 🟠 medium | — | — | +0.0159 | 0.00494 |
experience_square |
Squared years of administrator experience | continuous | 🟠 medium | — | — | +0.0004435 | 0.00035 |
number_clinics_within_proximity |
Count of nearby competing clinics | continuous | ⚪ low | — | — | -0.00669 | 0.00524 |
employees |
Number of clinic employees | continuous | ⚪ low | — | — | -0.008043 | 0.0103 |
population |
County population count | continuous | ⚪ low | — | — | -0.04179 | 0.0359 |
county_med_hh_income |
County median household income | continuous | ⚪ low | — | — | +0.001616 | 0.00157 |
unemployment_rate_in_county |
County unemployment rate | continuous | ⚪ low | -100.0 | 100.0 | -0.008014 | 0.00758 |
free_clinic |
Clinic operates as free clinic indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.02366 | 0.0604 |
recent_parent_change |
Recent/imminent clinic ownership change indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.04877 | 0.015 |
parent |
Clinic has parent ownership organization indicator | continuous | ⚪ low | -1.0 | 1.0 | -0.04206 | 0.021 |
Rural |
Clinic located in rural area indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.02582 | 0.0563 |
2.Clin_fqhc_or_like |
Clinic type category (FQHC or similar) | categorical | ⚪ low | — | — | +0.02611 | 0.0316 |
3.Clin_fqhc_or_like |
Clinic type category (FQHC or similar) | categorical | ⚪ low | — | — | -0.004018 | 0.0334 |
2003.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2509 | 0.0254 |
2004.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2699 | 0.0274 |
2005.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2323 | 0.0313 |
2006.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.255 | 0.0343 |
2007.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2593 | 0.0349 |
2008.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2349 | 0.0376 |
2009.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2314 | 0.0516 |
2010.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2022 | 0.0577 |
2011.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2046 | 0.0545 |
2012.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2252 | 0.0485 |
2013.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.1828 | 0.044 |
2014.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2265 | 0.0435 |
2015.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2738 | 0.0439 |
2016.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2438 | 0.0481 |
2017.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2424 | 0.0531 |
Response
| name | description | type | sensitivity | bound lo | bound hi | estimate | s.e. |
|---|---|---|---|---|---|---|---|
job_loss |
Administrator lost job next period indicator | continuous | 🟠 medium | -1.0 | 1.0 | — | — |
Public bounds (data-independent) sourced from: binary indicator; binary indicator; employment/labour outcome; binary indicator; facility location, not person; binary indicator; facility not person; binary indicator; facility ownership event not person; binary indicator; facility ownership status not person; binary indicator; race/ethnicity classification; plausible generic calendar year range; wave/time indicator; rate typically expressed as a percentage; county-level, not person.
n = 13,131 samples.
icpsr_188681_reg_9__2 — job_loss ~ 1.gain + visits + QUALITY2 + 1.female + 1.minority + MD2 + experience + experi…
Sensitivity proposal: 🔴 high maximum across columns (advisory; reviewed manually).
Reproduction grade: ✅ match (benchmark-eligible).
Features
| name | description | type | sensitivity | bound lo | bound hi | estimate | s.e. |
|---|---|---|---|---|---|---|---|
1.gain |
Clinic had positive profit indicator | categorical | ⚪ low | -1.0 | 1.0 | -0.02488 | 0.0117 |
visits |
Number of clinic patient visits | continuous | ⚪ low | — | — | -0.0036 | 0.00241 |
QUALITY2 |
Clinic quality measure/index | continuous | ⚪ low | — | — | -0.01103 | 0.00428 |
1.female |
Administrator gender (female) indicator | categorical | 🟠 medium | -1.0 | 1.0 | +0.003654 | 0.0194 |
1.minority |
Administrator race/ethnicity minority indicator | categorical | 🔴 high | -1.0 | 1.0 | +0.02973 | 0.0191 |
MD2 |
Administrator holds MD/physician credential indicator | continuous | 🟠 medium | -1.0 | 1.0 | +0.008039 | 0.0302 |
experience |
Administrator's years of work experience | continuous | 🟠 medium | — | — | +0.01616 | 0.00497 |
experience_square |
Squared years of administrator experience | continuous | 🟠 medium | — | — | +0.0004297 | 0.000351 |
number_clinics_within_proximity |
Count of nearby competing clinics | continuous | ⚪ low | — | — | -0.00694 | 0.00519 |
employees |
Number of clinic employees | continuous | ⚪ low | — | — | +0.0002773 | 0.00916 |
population |
County population count | continuous | ⚪ low | — | — | -0.04623 | 0.0376 |
county_med_hh_income |
County median household income | continuous | ⚪ low | — | — | +0.001642 | 0.00157 |
unemployment_rate_in_county |
County unemployment rate | continuous | ⚪ low | -100.0 | 100.0 | -0.008006 | 0.00759 |
free_clinic |
Clinic operates as free clinic indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.02564 | 0.0603 |
recent_parent_change |
Recent/imminent clinic ownership change indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.04903 | 0.015 |
parent |
Clinic has parent ownership organization indicator | continuous | ⚪ low | -1.0 | 1.0 | -0.04255 | 0.0209 |
Rural |
Clinic located in rural area indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.02359 | 0.0559 |
2.Clin_fqhc_or_like |
Clinic type category (FQHC or similar) | categorical | ⚪ low | — | — | +0.02776 | 0.0315 |
3.Clin_fqhc_or_like |
Clinic type category (FQHC or similar) | categorical | ⚪ low | — | — | -0.004422 | 0.0334 |
2003.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2506 | 0.0254 |
2004.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2701 | 0.0274 |
2005.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2325 | 0.0313 |
2006.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.255 | 0.0343 |
2007.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2585 | 0.0349 |
2008.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2344 | 0.0376 |
2009.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2307 | 0.0516 |
2010.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2019 | 0.0577 |
2011.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.204 | 0.0545 |
2012.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2255 | 0.0486 |
2013.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.1832 | 0.0441 |
2014.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2259 | 0.0435 |
2015.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2736 | 0.0439 |
2016.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2441 | 0.048 |
2017.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2435 | 0.0529 |
Response
| name | description | type | sensitivity | bound lo | bound hi | estimate | s.e. |
|---|---|---|---|---|---|---|---|
job_loss |
Administrator lost job next period indicator | continuous | 🟠 medium | -1.0 | 1.0 | — | — |
Public bounds (data-independent) sourced from: binary indicator; binary indicator; employment/labour outcome; binary indicator; facility location, not person; binary indicator; facility not person; binary indicator; facility ownership event not person; binary indicator; facility ownership status not person; binary indicator; race/ethnicity classification; plausible generic calendar year range; wave/time indicator; rate typically expressed as a percentage; county-level, not person.
n = 13,131 samples.
icpsr_188681_reg_9__3 — job_loss ~ standard_prof2 + visits + QUALITY2 + 1.female + 1.minority + MD2 + experience …
Sensitivity proposal: 🔴 high maximum across columns (advisory; reviewed manually).
Reproduction grade: ✅ match (benchmark-eligible).
Features
| name | description | type | sensitivity | bound lo | bound hi | estimate | s.e. |
|---|---|---|---|---|---|---|---|
standard_prof2 |
Standardized (z-score) clinic profit | continuous | ⚪ low | — | — | -0.01355 | 0.00589 |
visits |
Number of clinic patient visits | continuous | ⚪ low | — | — | -0.002611 | 0.00244 |
QUALITY2 |
Clinic quality measure/index | continuous | ⚪ low | — | — | -0.01081 | 0.00427 |
1.female |
Administrator gender (female) indicator | categorical | 🟠 medium | -1.0 | 1.0 | +0.004178 | 0.0195 |
1.minority |
Administrator race/ethnicity minority indicator | categorical | 🔴 high | -1.0 | 1.0 | +0.03078 | 0.0191 |
MD2 |
Administrator holds MD/physician credential indicator | continuous | 🟠 medium | -1.0 | 1.0 | +0.006826 | 0.0303 |
experience |
Administrator's years of work experience | continuous | 🟠 medium | — | — | +0.0159 | 0.00494 |
experience_square |
Squared years of administrator experience | continuous | 🟠 medium | — | — | +0.0004435 | 0.00035 |
number_clinics_within_proximity |
Count of nearby competing clinics | continuous | ⚪ low | — | — | -0.00669 | 0.00524 |
employees |
Number of clinic employees | continuous | ⚪ low | — | — | -0.008043 | 0.0103 |
population |
County population count | continuous | ⚪ low | — | — | -0.04179 | 0.0359 |
county_med_hh_income |
County median household income | continuous | ⚪ low | — | — | +0.001616 | 0.00157 |
unemployment_rate_in_county |
County unemployment rate | continuous | ⚪ low | -100.0 | 100.0 | -0.008014 | 0.00758 |
free_clinic |
Clinic operates as free clinic indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.02366 | 0.0604 |
recent_parent_change |
Recent/imminent clinic ownership change indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.04877 | 0.015 |
parent |
Clinic has parent ownership organization indicator | continuous | ⚪ low | -1.0 | 1.0 | -0.04206 | 0.021 |
Rural |
Clinic located in rural area indicator | continuous | ⚪ low | -1.0 | 1.0 | +0.02582 | 0.0563 |
2.Clin_fqhc_or_like |
Clinic type category (FQHC or similar) | categorical | ⚪ low | — | — | +0.02611 | 0.0316 |
3.Clin_fqhc_or_like |
Clinic type category (FQHC or similar) | categorical | ⚪ low | — | — | -0.004018 | 0.0334 |
2003.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2509 | 0.0254 |
2004.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2699 | 0.0274 |
2005.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2323 | 0.0313 |
2006.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.255 | 0.0343 |
2007.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2593 | 0.0349 |
2008.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2349 | 0.0376 |
2009.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2314 | 0.0516 |
2010.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2022 | 0.0577 |
2011.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2046 | 0.0545 |
2012.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2252 | 0.0485 |
2013.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.1828 | 0.044 |
2014.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2265 | 0.0435 |
2015.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2738 | 0.0439 |
2016.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2438 | 0.0481 |
2017.year |
Calendar year fixed effect | categorical | ⚪ low | -200.0 | 200.0 | -0.2424 | 0.0531 |
Response
| name | description | type | sensitivity | bound lo | bound hi | estimate | s.e. |
|---|---|---|---|---|---|---|---|
job_loss |
Administrator lost job next period indicator | continuous | 🟠 medium | -1.0 | 1.0 | — | — |
Public bounds (data-independent) sourced from: binary indicator; binary indicator; employment/labour outcome; binary indicator; facility location, not person; binary indicator; facility not person; binary indicator; facility ownership event not person; binary indicator; facility ownership status not person; binary indicator; race/ethnicity classification; plausible generic calendar year range; wave/time indicator; rate typically expressed as a percentage; county-level, not person.
n = 13,131 samples.