Migrant Inventors and the Technological Advantage of Nations

Dany  Bahar; Prithwiraj  Choudhury; Hillel  Rapoport

Article | Research Policy | Forthcoming

Migrant Inventors and the Technological Advantage of Nations

by Dany Bahar, Prithwiraj Choudhury and Hillel Rapoport

Abstract

We investigate the relationship between the presence of migrant inventors and the dynamics of innovation in the migrants’ receiving countries. We find that countries are 25 to 60 percent more likely to gain advantage in patenting in certain technologies given a twofold increase in the number of foreign inventors from other nations that specialize in those same technologies. For the average country in our sample, this number corresponds to only 25 inventors and a standard deviation of 135. We deal with endogeneity concerns by using historical migration networks to instrument for stocks of migrant inventors. Our results generalize the evidence of previous studies that show how migrant inventors "import" knowledge from their home countries, which translates into higher patenting in the receiving countries. We interpret these results as tangible evidence of migrants facilitating the technology-specific diffusion of knowledge across nations.

Keywords: innovation; migration; patent; knowledge; Innovation and Invention; Immigration; Patents; Technology; Knowledge Dissemination;

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Bahar, Dany, Prithwiraj Choudhury, and Hillel Rapoport. "Migrant Inventors and the Technological Advantage of Nations." Research Policy (forthcoming).

Working Paper | HBS Working Paper Series | 2020

(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial

Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker

While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between April and May 2020 to investigate how “looks” affect labor market outcomes. Using machine learning and computer face rendering techniques, we simulate North, South, and Northeastern Indian faces and randomize two waves of treatments where we attach faces with otherwise identical CVs. However, the second wave also contains a vignette where we provide respondents with information about the incidence of discrimination. We focus on Northeastern Indian faces that resemble those in China to focus on the potential for discrimination that has historically been present in anecdotal accounts. While we do not find evidence of discrimination against Northeastern faces in the first wave, we do so in the second among those who do not see the vignette. We provide suggestive evidence that these results are consistent with the presence of homophily under limited attention.

Keywords: Behavioral economics; coronavirus; discrimination; homophily; labor market mobility; limited attention; resumes; Personal Characteristics; Prejudice and Bias;

Citation:

Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Subhradip Sarker. "(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial." Harvard Business School Working Paper, No. 21-038, September 2020. View Details

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Migrant Inventors and the Technological Advantage of Nations

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