Trade Sides or Trade Modes: What Matters for Productivity Sorting of International Traders? Evidence from Latin American Countries

29 Pages Posted: 20 Sep 2019 Last revised: 20 Oct 2020

See all articles by Marco Di Cintio

Marco Di Cintio

University of Salento - Department of Economics and Mathematics and Statistics

Emanuele Grassi

University of Salento - Dipartimento di Scienze dell'Economia

Claudio Petti

University of Salento - Department of Economics and Mathematics and Statistics

Date Written: October 12, 2019

Abstract

In this paper, we complement the empirical evidence on the productivity sorting literature by considering different modes of import combined with different modes of export. Using the data of six Latin American countries, we test the first-order stochastic dominance to evaluate the Total Factor Productivity (TFP) differences among eight categories of traders. Our main result shows that, rather than the side, it is the mode of trade that matters. We show that the most productive firms choose to trade directly. In addition, firms that are both importers and exporters are more productive than firms active just on one side of the international market. Provided that the mode of trade is the same, firms that just import do not differ from those that just export. Similarly, we did not find a significant productivity difference between firms trading directly on one of the two trade sides and indirectly on the other. Thus, we concluded that direct two-way traders have the highest TFP, followed by direct one-way traders and then mixed two-way traders, indirect two-way traders, and, finally, indirect one-way traders.

Keywords: TFP, Productivity Sorting, Direct and Indirect Trade, Import, Export, Stochastic Dominance

JEL Classification: D22, F14, O31

Suggested Citation

Di Cintio, Marco and Grassi, Emanuele and Petti, Claudio, Trade Sides or Trade Modes: What Matters for Productivity Sorting of International Traders? Evidence from Latin American Countries (October 12, 2019). Available at SSRN: https://ssrn.com/abstract=3452687 or http://dx.doi.org/10.2139/ssrn.3452687

Marco Di Cintio (Contact Author)

University of Salento - Department of Economics and Mathematics and Statistics ( email )

Piazza Tancredi, n7
Lecce, 73100
Italy

Emanuele Grassi

University of Salento - Dipartimento di Scienze dell'Economia ( email )

via per Monteroni
Lecce, 73100
Italy

Claudio Petti

University of Salento - Department of Economics and Mathematics and Statistics ( email )

Piazza Tancredi, n7
Lecce, 73100
Italy

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
40
Abstract Views
487
PlumX Metrics