In this contribution, we exploit machine learning techniques to predict out-of-sample firms' ability export based on the financial accounts of both exporters and non-exporters. Therefore, show how forecasts can be used as exporting scores, i.e., measure distance non-exporters from status. For our purpose, train test various algorithms reports 57,021 manufacturing firms in France 2010-2018. We f...

expanding commerce, globalization of products and services, and companies being internationalized unceasingly has added the importance of international business relationships. considering the complex marketing under the continuous variations, accessing wing-footed trade information is a key success in international marketplace; and market orientation as an integrated view by determining the org...

This paper studies the export behavior of a panel of Indian manufacturing firms for a period of 17 years from 1990 to 2006. Specifically, we look at whether exporting firms differ from domestic firms in size, productivity, capital intensity, remuneration levels, etc. We find that exporters systematically outperform non-exporters over a number of characteristics. We find evidence of “self-select...

Within the recent literature studying participation in international markets using micro data, a small number have suggested that firms benefit from their exposure to international markets. One channel considered for this role has been investments in R&D. A common finding in this literature is that firms involved in international trade are also more likely to also undertake R&D. In this paper w...

We examine interaction between goods trade and market power in domestic trade and distribution sectors. Theory suggests a linkage between service-sector competition and goods trade, one supported by econometrics involving imports of 22 OECD countries vis-à-vis 69 exporters. This points to linkages between market access conditions for goods and the structure of the service sector. Competition in...