Data and Code for: Linguistic Traits and Human Capital Formation
Principal Investigator(s): View help for Principal Investigator(s) Oded Galor, Brown University; Ömer Özak, Southern Methodist University; Assaf Sarid, University of Haifa
Version: View help for Version V1
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Project Citation:
Galor, Oded, Özak, Ömer, and Sarid, Assaf. Data and Code for: Linguistic Traits and Human Capital Formation. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-05-14. https://doi.org/10.3886/E117085V1
Project Description
Summary:
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This research establishes the influence of
linguistic traits on human behavior. Exploiting variations in the languages
spoken by children of migrants with identical ancestral countries of origin,
the analysis indicates that the presence of periphrastic future tense, and its
association with long-term orientation has a significant positive impact on
educational attainment, whereas the presence of sex-based grammatical gender,
and its association with gender bias, has a significant adverse impact on
female educational attainment.
Scope of Project
JEL Classification:
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D91 Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
I25 Education and Economic Development
J16 Economics of Gender; Non-labor Discrimination
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
Z10 Cultural Economics; Economic Sociology; Economic Anthropology: General
Z13 Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
D91 Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
I25 Education and Economic Development
J16 Economics of Gender; Non-labor Discrimination
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
Z10 Cultural Economics; Economic Sociology; Economic Anthropology: General
Z13 Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
Time Period(s):
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2000 – 2019
Collection Date(s):
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2016 – 2019
Universe:
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Children of migrants in the US.
(i) migrant children born overseas who arrived to the US before the age of 5, (``one-and-a-half generation migrants")
(ii) children born in the US to at least one foreign parent (``second generation migrants").
(i) migrant children born overseas who arrived to the US before the age of 5, (``one-and-a-half generation migrants")
(ii) children born in the US to at least one foreign parent (``second generation migrants").
Data Type(s):
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aggregate data;
census/enumeration data;
geographic information system (GIS) data
Methodology
Data Source:
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Steven Ruggles, Sarah Flood, Ronald Goeken, Josiah Grover, Erin Meyer, Jose Pacas and Matthew Sobek. IPUMS USA: Version 9.0 [dataset]. Minneapolis, MN: IPUMS, 2019. https://doi.org/10.18128/D010.V9.0
Dryer, Matthew S. & Haspelmath, Martin (eds.) 2013. The World Atlas of Language Structures Online. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at http://wals.info, Accessed on 2020-01-07.)
Dryer, Matthew S. & Haspelmath, Martin (eds.) 2013. The World Atlas of Language Structures Online. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at http://wals.info, Accessed on 2020-01-07.)
Galor, Oded, Ömer Özak, and Assaf Sarid. "Geographical origins and economic consequences of language structures." (2016).
Unit(s) of Observation:
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Individuals
Geographic Unit:
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State
Related Publications
Published Versions
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