Replication data for: Exporter Dynamics and Partial-Year Effects

Principal Investigator(s): View help for Principal Investigator(s) Andrew B. Bernard; Esther Ann Boler; Renzo Massari; Jose-Daniel Reyes; Daria Taglioni

Version: View help for Version V1

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Project Citation:

Bernard, Andrew B., Boler, Esther Ann, Massari, Renzo, Reyes, Jose-Daniel, and Taglioni, Daria. Replication data for: Exporter Dynamics and Partial-Year Effects. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E112998V1

Project Description

Summary: Two identical firms who start exporting in different months, one each in January and December, will report dramatically different exports for the first calendar year. This partial-year effect biases down first-year export levels and biases up first-year export growth rates. For Peruvian exporters, the partial-year bias is large: first-year export levels are understated by 54 percent and the first-year growth rate is overstated by 112 percentage points. Correcting the partial-year effect dramatically reduces first-year export growth rates, raises initial export levels, and almost doubles the contribution of net firm entry and exit to overall export growth.

Scope of Project

JEL Classification:
      D22 Firm Behavior: Empirical Analysis
      F14 Empirical Studies of Trade
      O14 Industrialization; Manufacturing and Service Industries; Choice of Technology
      O19 International Linkages to Development; Role of International Organizations

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Published Versions

V1 [2019-10-12]

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Dublin Core

DDI 2.5

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