← Back to results Who pays for a VAT hike at an international border? Emmanuel Chávez & Cristóbal Domínguez-Borbor
What the paper says This research studies the effects of a value added tax (VAT) reform that raised the rate from 11 to 16 per cent at localities close to international borders in Mexico. Using difference‐in‐differences, we find that the VAT hike increased prices by one‐third the size of the full‐passthrough counterfactual. Moreover, we find that workers absorbed part of the VAT hike, as the reform had a negative effect on workers’ compensation. Informality, competition across the border, worker mobility and earnings level drive the effects we find.
Open paper page → Cite
Cite this paper https://doi.org/https://doi.org/10.1111/1475-5890.12400 Copy URL
Or copy a formatted citation
BibTeX RIS APA Chicago Link
@article{emmanuel2025,
title = {{Who pays for a VAT hike at an international border?}},
author = {Emmanuel Chávez & Cristóbal Domínguez-Borbor},
journal = {Fiscal Studies},
year = {2025},
doi = {https://doi.org/https://doi.org/10.1111/1475-5890.12400},
} TY - JOUR
TI - Who pays for a VAT hike at an international border?
AU - Chávez, Emmanuel
AU - Domínguez-Borbor, Cristóbal
JO - Fiscal Studies
PY - 2025
ER - Emmanuel Chávez & Cristóbal Domínguez-Borbor (2025). Who pays for a VAT hike at an international border?. *Fiscal Studies*. https://doi.org/https://doi.org/10.1111/1475-5890.12400 Emmanuel Chávez & Cristóbal Domínguez-Borbor. "Who pays for a VAT hike at an international border?." *Fiscal Studies* (2025). https://doi.org/https://doi.org/10.1111/1475-5890.12400. Who pays for a VAT hike at an international border?
Emmanuel Chávez & Cristóbal Domínguez-Borbor · Fiscal Studies · 2025
https://doi.org/https://doi.org/10.1111/1475-5890.12400 Copy
Paste directly into BibTeX, Zotero, or your reference manager.
Flag this paper Evidence weight Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
F · citation impact 0.50 × 0.4 = 0.20 M · momentum 0.50 × 0.15 = 0.07 V · venue signal 0.50 × 0.05 = 0.03 R · text relevance † 0.50 × 0.4 = 0.20
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.