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Posts

Future Blog Post

less than 1 minute read

Published: January 01, 2199

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published: August 14, 2015

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published: August 14, 2014

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published: August 14, 2013

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

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publications

Automatic Product Classification in International Trade: Machine Learning and Large Language Models

Published in IDB Working Papers (Revise and Resubmit at Review of International Economics), 2023

Accurately classifying products is essential in international trade. Virtually all countries categorize products into tariff lines using the Harmonized System (HS) nomenclature for both statistical and duty collection purposes. In this paper, we apply and assess several different algorithms to automatically classify products based on text descriptions. To do so, we use agricultural product descriptions from several public agencies, including customs authorities and the United States Department of Agriculture (USDA). We find that while traditional machine learning (ML) models tend to perform well within the dataset in which they were trained, their precision drops dramatically when implemented outside of it. In contrast, large language models (LLMs) such as GPT 3.5 show a consistently good performance across all datasets, with accuracy rates ranging between 60% and 90% depending on HS aggregation levels. Our analysis highlights the valuable role that artificial intelligence (AI) can play in facilitating product classification at scale and, more generally, in enhancing the categorization of unstructured data.

Recommended citation: Marra de Artiñano, I., Riottini Depetris, F., & Volpe Martincus, C. (2023). "Automatic Product Classification in International Trade: Machine Learning and Large Language Models." (No. 12962). Inter-American Development Bank.

Do Ambassadors Matter? The effect of ambassadors over trade promotion

Determining whether diplomacy has a real impact on local producers has been a focus of the economic literature for the past 20 years, mainly because of its potential effects on information barriers. Using a natural experiment, this paper attempts to quantify the impact of ambassadors on countries’ trade promotion. Consistent with the previous literature, I find that ambassadors have a significant effect on the extensive margin, while the results are less significant on the intensive margin.

Recommended citation: Riottini Depetris, Franco (2024). 'Do Ambassadors Matter? The effect of ambassadors over trade promotion.' Master Thesis at Universidad de San Andrés.

The Value of Organic Certifications

Consumer taste for organic products has grown, increasing demand and costs along agricultural value chains. We estimate the impact of the world’s largest certification system – USDA organic – on exporters from one of the world’s most important organic production regions – Latin America. For that purpose, we use a novel dataset which combines the universe of agricultural export transactions from 10 countries in Latin America with the universe of organic certifications granted by the US Department of Agriculture since 2012. Our results indicate that certified firms increase exports to the USA relative to non-certified firms. Spillover effects are positive within firms, as certified firms increase exports of certified products to other destinations and non-certified products to the USA. Spillover effects are negative across firms: the more firms are already certified in the USA, the less that exports increase following certification.

IDB Blog Post on early version