Data and Code for: "Customer capital spillovers: evidence from sales managers in international markets"
Principal Investigator(s): View help for Principal Investigator(s) Bérengère Patault, University of Amsterdam
Version: View help for Version V1
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Replication package | 08/01/2023 08:58:AM | ||
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application/pdf | 166.2 KB | 08/26/2024 12:24:PM |
Project Citation:
Patault, Bérengère. Data and Code for: “Customer capital spillovers: evidence from sales managers in international markets.” Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-09-03. https://doi.org/10.3886/E193084V1
Project Description
Summary:
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These files contain the programs and data structure for the article entitled "Customer capital spillovers: evidence from sales managers in international markets".
Expanding their customer base is crucial for firms to grow. This paper leverages sales managers’
job-to-job transitions to better understand how buyer-seller relationships form. Combining unique
French firm-to-firm trade data with matched employer-employee data, we carry out an event-study
analysis that exploits the timing of sales managers’ transitions from one firm to another for identi-
fication. We find that recruiting a sales manager increases by 36% the probability to export to the
buyers of her former firm. The expansion of the firm’s customer base comes at the expense of the
buyer’s former suppliers. Yet, business stealing is only partial, and thus job-to-job transitions are not
zero-sum.
Scope of Project
Subject Terms:
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international trade;
sales managers;
firm-to-firm
JEL Classification:
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F14 Empirical Studies of Trade
F16 Trade and Labor Market Interactions
L25 Firm Performance: Size, Diversification, and Scope
M37 Advertising
F14 Empirical Studies of Trade
F16 Trade and Labor Market Interactions
L25 Firm Performance: Size, Diversification, and Scope
M37 Advertising
Geographic Coverage:
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France
Time Period(s):
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2005 – 2017
Data Type(s):
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program source code
Methodology
Data Source:
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French administrative datasets are used for this article.
Unit(s) of Observation:
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firm-year observations, firm-buyer-year observations
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