TY - JOUR

T1 - Productivity premia for many modes of internationalization.

T2 - A replication study of Békés and Muraközy (Economics Letters, 2016)

AU - Wagner, Joachim

PY - 2017

Y1 - 2017

N2 - This study attempts to replicate estimation results from Gabor Bekes and Balazs Murakozy, Measuring productivity premia with many modes of internationalization, published in Economics Letters (2016). In this paper the authors use comparable firm-level data for seven European countriesbased on the EFIGE dataset to estimate the productivity premia of firms with various modes of internationalization by several empirical methods to demonstrate how results differ due to the method applied. While the EFIGE data are available free of charge from the web one core variable used by Bekes and Murakozy is not, because total factor productivity (tfp) as computed by the authors is based on data from a commercial data base and, therefore, is available for users with a license to this database only. The freely available EFIGE data, however, come with another tfp-variable that can be used instead. In this replication study I use the EFIGE data with this publicly available tfp-variable to replicate (parts of) the estimations of Bekes and Murakozy (2016) to see whether their results hold with the widely used public use version of the EFIGE data, too. It turns out that the big picture that emerges from using both productivity measures tends to be very similar. The use of the public use version of the EFIGE data for empirical investigations that deal with productivity, therefore, seems to be feasible.

AB - This study attempts to replicate estimation results from Gabor Bekes and Balazs Murakozy, Measuring productivity premia with many modes of internationalization, published in Economics Letters (2016). In this paper the authors use comparable firm-level data for seven European countriesbased on the EFIGE dataset to estimate the productivity premia of firms with various modes of internationalization by several empirical methods to demonstrate how results differ due to the method applied. While the EFIGE data are available free of charge from the web one core variable used by Bekes and Murakozy is not, because total factor productivity (tfp) as computed by the authors is based on data from a commercial data base and, therefore, is available for users with a license to this database only. The freely available EFIGE data, however, come with another tfp-variable that can be used instead. In this replication study I use the EFIGE data with this publicly available tfp-variable to replicate (parts of) the estimations of Bekes and Murakozy (2016) to see whether their results hold with the widely used public use version of the EFIGE data, too. It turns out that the big picture that emerges from using both productivity measures tends to be very similar. The use of the public use version of the EFIGE data for empirical investigations that deal with productivity, therefore, seems to be feasible.

KW - Economics

U2 - 10.18718/81781.4

DO - 10.18718/81781.4

M3 - Journal articles

VL - 1

SP - 1

EP - 6

JO - International Journal for Re-Views in Empirical Economics - IREE

JF - International Journal for Re-Views in Empirical Economics - IREE

SN - 2566-8269

M1 - 4

ER -