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. Author manuscript; available in PMC: 2018 May 11.
Published in final edited form as: Rev Econ Stat. 2018 Mar 2;100(1):29–44. doi: 10.1162/REST_a_00670

Table 6.

IV Estimates of Proximity Effect on Drug Utilization

Outcome: New Drug Use
(1) (2) (3)
A. Reduced form: Drug receipt effect
  Residence in first author HRR 0.0228** (0.0099) 0.0217** (0.0099) 0.0228** (0.0099)
  Residence in other author HRR 0.0038 (0.0044) 0.0044 (0.0050) 0.0046 (0.0061)
  Residence in first author’s neighbor HRR 0.0035 (0.0045)
  Residence in other author’s neighbor HRR − 0.0028 (0.0028)
B. Two-stage least squares
  Provider in first author HRR 0.0293** (0.0127) 0.0259** (0.0114) 0.0263** (0.0115)
  Provider in other author HRR 0.0056 (0.0058) 0.0060 (0.0061) 0.0065 (0.0061)
Sample
  Author HRR only? No Yes No
  Number of observations 659,468 286,637 659,468

Reduced-form results report coefficients from three regressions where the outcome variable is new drug use and the key explanatory variables are indicators for whether a given patient resides in the same region as the study author (or in column 3, in a neighboring region). In panel B, the two-stage least squares results use patient residence variables as instrumental variables for whether the patient is treated in the author region. All regressions include drug-year fixed effects and HRR-cancer type fixed effects defined using three categories of cancer drugs: urologic, hematologic, and other (including breast, colon, lung, and brain). Standard errors clustered at the HRR-drug level shown in parentheses.

*

p < 0.10,

**

p < 0.05, and

***

p < 0.01.