Automated Author ProfileGoldberg, Pinelopi
Yale and NBER
Goldberg, Pinelopi
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The US-China trade war created net export opportunities rather than simply shifting trade across destinations. Many “bystander” countries grew their exports of taxed products into the rest of the world (excluding US and China). Country-specific components of tariff elasticities, rather than specialization patterns, drove large cross-country variation in export growth of tariff-exposed products. The elasticities of exports to US-China tariffs identify whether a country’s exports complement or substitute US or China and its supply curve’s slope. Countries that operate along downward-sloping supplies whose exports substitute (complement) US and China are among the larger (smaller) beneficiaries of the trade war.
Authors
- Fajgelbaum, Pablo ;
- Goldberg, Pinelopi ;
- Kennedy, Patrick ;
- Khandelwal, Amit ;
- Taglioni, Daria
The US-China trade war created net export opportunities rather than simply shifting trade across destinations. Many “bystander” countries grew their exports of taxed products into the rest of the world (excluding US and China). Country-specific components of tariff elasticities, rather than specialization patterns, drove large cross-country variation in export growth of tariff-exposed products. The elasticities of exports to US-China tariffs identify whether a country’s exports complement or substitute US or China and its supply curve’s slope. Countries that operate along downward-sloping supplies whose exports substitute (complement) US and China are among the larger (smaller) beneficiaries of the trade war.
Authors
- Fajgelbaum, Pablo ;
- Goldberg, Pinelopi ;
- Kennedy, Patrick ;
- Khandelwal, Amit ;
- Taglioni, Daria