Data and Code for: An Empirical Dynamic Model of Trade with Consumer Accumulation
Principal Investigator(s): View help for Principal Investigator(s) Paul Piveteau, Johns Hopkins University. School of Advanced International Studies
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
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| Replication_Fall20 | 12/17/2020 03:29:PM | ||
| bases | 12/17/2020 03:27:PM | ||
| code | 12/17/2020 03:08:PM | ||
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application/pdf | 74.2 KB | 12/17/2020 10:39:AM |
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application/pdf | 125.9 KB | 08/14/2020 11:49:AM |
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text/plain | 14.7 KB | 10/27/2021 11:58:AM |
Project Citation:
Piveteau, Paul. Data and Code for: An Empirical Dynamic Model of Trade with Consumer Accumulation. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-10-28. https://doi.org/10.3886/E120070V1
Project Description
Summary:
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This paper develops a dynamic structural model of trade in which firms slowly accumulate consumers in foreign markets. Estimating the model using export data from individual firms and a particle Markov chain Monte Carlo estimator, the model predicts lower survival rates for new exporters and estimates low entry costs of exporting - less than half of those estimated in the absence of consumer accumulation. Using simulations and out-of-sample predictions, I show that the introduction of such frictions and the reduction in estimated entry costs allow the model to match important facts regarding the aggregate response of international trade to shocks.
Scope of Project
Subject Terms:
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international trade
JEL Classification:
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F14 Empirical Studies of Trade
F17 Trade: Forecasting and Simulation
L20 Firm Objectives, Organization, and Behavior: General
F14 Empirical Studies of Trade
F17 Trade: Forecasting and Simulation
L20 Firm Objectives, Organization, and Behavior: General
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