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Table 6 Estimates of CDFs with CLP effects using matching procedures; 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

 

No matching

MM

NNM

lnL

0.9420

0.9362

0.9533

(166.03)

(47.75)

(63.32)

lnK

0.2212

0.1938

0.2007

(53.42)

(15.12)

(19.70)

CLP

0.1231

0.1928

0.0496

(5.22)

(1.31)

(1.46)

n

20,490

1,806

3,346

R 2

0.840

0.838

0.849

  1. Note: MM—Mahalanobis metric matching, NNM—nearest neighbor matching, t-values in parentheses. Matching variables are profit situation, year in which the establishment was founded, introduction of new products, further training, average working time, working time accounts, opening clause