Arbeitspapier

Missing Tariffs

Many studies use tariffs to measure changes in trade policy. This paper shows that standard sources for tariffs suffer from substantial measurement error due to misreporting and the resulting false imputation: Countries fail to report tariffs every year and missing data are more prevalent for preferential than for most favored nation (MFN) tariffs. WITS, the main data provider for tariffs, falsely interpolates missing preferential tariffs with MFN tariffs. This practice leads to artificial spikes in bilateral time series data and, hence, induces massive measurement error. I introduce a new global tariff dataset at the six-digit product level for 197 countries and 30 years that combines five different sources for tariffs and proposes a new interpolation algorithm taking the misreporting into account. Lastly, I show using gravity that correcting for the messy data increases the estimates of the trade elasticity by 2.89 times.

Sprache
Englisch

Erschienen in
Series: Discussion Paper ; No. 458

Klassifikation
Wirtschaft
Trade Policy; International Trade Organizations
Empirical Studies of Trade
Thema
tariffs
MFN
preferences
trade elasticity

Ereignis
Geistige Schöpfung
(wer)
Teti, Feodora
Ereignis
Veröffentlichung
(wer)
Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
(wo)
München und Berlin
(wann)
2023

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Teti, Feodora
  • Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition

Entstanden

  • 2023

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