Automated Author Profile

Yotov, Yoto Valentinov

Current S-Index

2.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.0

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

65.4%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data for: Firm heterogeneity and trade-induced layoffs: An empirical investigation

Abstract of associated article: We use a novel data set with verified observations of trade-induced layoffs by U.S. firms to study the interaction between firm productivity and trade liberalization as key determinants of firm-level job destruction due to trade. We find that patterns of trade-induced layoffs are broadly consistent with the predictions for firm-level employment generated by the Melitz (2003) heterogeneous firms theory – the number of trade-induced layoffs increases with firm productivity for non-exporting firms but decreases with firm productivity for exporting firms. The fact that exporting firms incur trade-induced layoffs at all invites a refined interpretation of the theory. Our findings suggest that exporting firms may lay off some workers who work in production for their shrinking domestic segments, while also engaging in some within-firm reallocation of workers. We also find that, even after controlling for productivity and export status, larger firms lay off more workers due to trade competition.

Authors

  • Yotov, Yoto Valentinov
1 Citation0 Mentions65% FAIR2.0 Dataset Index
10.17632/7r5sxrcndt.1November 2016