2012
DOI: 10.1257/aer.102.1.396
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Compulsory Licensing: Evidence from the Trading with the Enemy Act

Abstract: Compulsory licensing allows firms in developing countries to produce foreign-owned inventions without the consent of foreign patent owners. This paper uses an exogenous event of compulsory licensing after World War I under the Trading with the Enemy Act to examine the effects of compulsory licensing on domestic invention. Difference-in-differences analyses of nearly 130,000 chemical inventions suggest that compulsory licensing increased domestic invention by 20 percent. (JEL D45, L24, N42, O31, O34)

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Cited by 360 publications
(135 citation statements)
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“…Thus, this work does not shed much light on the impact of the market for ideas on the rate and direction of corporate innovation. One exception is Moser and Voena (), who find that compulsory licensing of patented inventions increases the number of new follow‐on inventions, exploiting variation across technology areas created by the 1917 Trading with the Enemy Act in the United States.…”
Section: The Importance Of the Market For Ideasmentioning
confidence: 99%
“…Thus, this work does not shed much light on the impact of the market for ideas on the rate and direction of corporate innovation. One exception is Moser and Voena (), who find that compulsory licensing of patented inventions increases the number of new follow‐on inventions, exploiting variation across technology areas created by the 1917 Trading with the Enemy Act in the United States.…”
Section: The Importance Of the Market For Ideasmentioning
confidence: 99%
“…And they prove that the Porter hypothesis is acceptable, butJaffe and Palmer (1997) find that the direct impact of ER on GPP improvement is uncertain. Based on the placebo test method ofMoser and Voena (2012), we conduct the robustness test. Specifically, we assume that the policy started to implement in 2006, then the time period from 2004 to 2007 is selected for the robustness test.…”
mentioning
confidence: 99%
“…Thus, by comparing the change (D1) in the treatment group y value with the change (D2) in the control group y value, the actual effect of the policy shock can be obtained (DD = D1 − D2). The DID method can solve the endogeneity issues to a certain extent, so it has widely been adopted in the field of policy evaluation [7,[34][35][36].…”
Section: Econometric Modelmentioning
confidence: 99%