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Table 6 The impact of agglomeration economies on various hospital input prices (t stats are reported in parentheses using robust standard errors)

From: The impact of agglomeration economies on hospital input prices

Type of intermediate medical service (CPT code)

Urinalysis without microscopy (81003)

Urine test for early renal disease or diabetes (82043)

Test for alpha-fetoprotein levels (82105)

Another hepatic function panel (82150)

 

(1)

(2)

(3)

(4)

Total Number of Hospital Beds (100 s)

0.155**

0.507***

0.469

0.316**

 

(2.55)

(2.63)

(1.60)

(2.22)

Medical Lab Employment (100 s)

−0.524***

−1.667***

−1.633*

−1.100***

 

(-2.75)

(-2.76)

(-1.78)

(-2.47)

Population Density (1,000 s per Square Mile)

0.090***

0.134

0.244

0.221***

 

(3.06)

(1.41)

(1.60)

(3.22)

Area (1,000 s of Square Miles)

−0.020

−0.052

0.271

−0.059

 

(-0.53)

(-0.43)

(-1.43)

(-0.66)

Average Hospital Size (100 s of Beds)

−0.403***

−1.291***

0.980

−1.315***

 

(-2.62)

(-2.70)

(-1.40)

(-3.72)

Demographic Controlsa

YES

YES

YES

YES

Year Trend

YES

YES

YES

YES

Region FE

YES

YES

YES

YES

Year Trend × Region FE

YES

YES

YES

YES

No. of Observations

6332

6159

5509

6146

Root MSE

3.640

11.032

7.315

7.406

First-stage F-statistics

13.017

12.345

13.452

11.190

Wooldridge Robust Score Test

14.920

15.643

3.603

11.183

  1. aOther control variables include county-level measure of % of uninsured, % of > 65 years old, per capita income, % Non-white, and % of < high school. Statistical significance at the 1, 5 and 10 percent levels are denoted with ***, **, and * respectively