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Table 7 Quantile estimates of CLP effects; dependent variable: logarithm of sales—lnY

From: Estimation of standard errors and treatment effects in empirical economics—methods and applicationsSchätzung von Standardfehlern und Kausaleffekten in der empirischen Wirtschaftsforschung – Methoden und Anwendungen

Quantile

F

K-B

F-M

A-A-I

MM+K-B

MM+A-A-I

q=0.1

2.9957

0.2236

5.3012

1.2092

−0.1064

0.9776

(38.94)

(6.76)

(20.42)

(3.10)

(−0.87)

(1.06)

q=0.3

3.3242

0.1836

5.8227

1.1615

0.0715

0.7140

(54.67)

(7.15)

(23.67)

(3.11)

(0.46)

(0.62)

q=0.5

3.1325

0.1526

6.3549

1.2000

0.1793

0.6736

(54.19)

(6.31)

(24.58)

(2.57)

(1.09)

(1.37)

q=0.7

2.9312

0.1036

6.8703

1.2479

0.2270

0.8072

(56.91)

(4.07)

(26.14)

(2.09)

(1.54)

(2.18)

q=0.9

2.3203

−0.0176

7.8119

1.6549

0.4523

1.4242

(34.18)

(−0.37)

(20.12)

(1.36)

(3.36)

(2.92)

n

31,985

20,490

20,909

13,496

1,806

1,206

  1. Note: F—Firpo; K-B—Koenker/Bassett; F-M—Frölich/Melly; A-A-I—Abadie/Angrist/Imbens, MM—Mahalanobis metric matching, control variables are lnL and lnK, t-values in parentheses