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Olle Hammar

Biographic Data

ID5805861
NAMEOlle Hammar
GIVEN NAMESOlle
FAMILY NAMEHammar
SIGNATUREHAMMAR O
AFFILIATIONSUppsala University
ORCID0000-0002-2341-3751
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS11
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX1
  • A Commentary on “Gender Bias in Parental Attitude

    Open Access•Olle Hammar, Carl Bonander et al.•ARTICLE•Demography•2025•Cited by: 1

    Begum et al. (2018) examined gender bias in parental attitudes using an experimental approach in rural Bangladesh. Households were reported as randomly assigned to treatment conditions in a lab-in-the-field allocation task. We show that the group assignment was inherited from Islam (2019), a previous, nonrandomized experiment conducted in the same region. The lack of randomization contradicts the design descriptions provided by the authors in Beg…

  • Where Would Ukrainian Refugees Go if They Could Go Anywhere

    Open Access•Mikael Elinder, Oscar Erixson et al.•ARTICLE•International Migration Review•2023•Cited by: 10•References: 8

    We present estimates of the number of refugees expected to flee Ukraine and to which countries they are expected to migrate based on migration preferences data from the Gallup World Poll (GWP). This is important in terms of both immediate refugee assistance efforts and long-term integration policies. Our key finding is that as many as 12 million people may want to leave Ukraine permanently and that refugee policies in potential destination countr…

  • Global Earnings Inequality, 1970–2018

    Open Access•Olle Hammar, Daniel Waldenström•ARTICLE•The Economic Journal•2020

    We estimate trends in global earnings dispersion across occupational groups by constructing a new database that covers 68 developed and developing countries between 1970 and 2018. Our main finding is that global earnings inequality has fallen, primarily during the 2000s and 2010s, when the global Gini coefficient dropped by 15 points and the earnings share of the world's poorest half doubled. Decomposition analyses show earnings convergence betwe…

  • Where Would Ukrainian Refugees Go if They Could Go Anywhere

    Open Access•Mikael Elinder, Oscar Erixson et al.•ARTICLE•International Migration Review•2023•Cited by: 10•References: 8

    We present estimates of the number of refugees expected to flee Ukraine and to which countries they are expected to migrate based on migration preferences data from the Gallup World Poll (GWP). This is important in terms of both immediate refugee assistance efforts and long-term integration policies. Our key finding is that as many as 12 million people may want to leave Ukraine permanently and that refugee policies in potential destination countr…

  • A Commentary on “Gender Bias in Parental Attitude

    Open Access•Olle Hammar, Carl Bonander et al.•ARTICLE•Demography•2025•Cited by: 1

    Begum et al. (2018) examined gender bias in parental attitudes using an experimental approach in rural Bangladesh. Households were reported as randomly assigned to treatment conditions in a lab-in-the-field allocation task. We show that the group assignment was inherited from Islam (2019), a previous, nonrandomized experiment conducted in the same region. The lack of randomization contradicts the design descriptions provided by the authors in Beg…

  • Global Earnings Inequality, 1970–2018

    Open Access•Olle Hammar, Daniel Waldenström•ARTICLE•The Economic Journal•2020

    We estimate trends in global earnings dispersion across occupational groups by constructing a new database that covers 68 developed and developing countries between 1970 and 2018. Our main finding is that global earnings inequality has fallen, primarily during the 2000s and 2010s, when the global Gini coefficient dropped by 15 points and the earnings share of the world's poorest half doubled. Decomposition analyses show earnings convergence betwe…

  • Where Would Ukrainian Refugees Go if They Could Go Anywhere

    Open Access•Mikael Elinder, Oscar Erixson et al.•ARTICLE•International Migration Review•2023•Cited by: 10•References: 8

    We present estimates of the number of refugees expected to flee Ukraine and to which countries they are expected to migrate based on migration preferences data from the Gallup World Poll (GWP). This is important in terms of both immediate refugee assistance efforts and long-term integration policies. Our key finding is that as many as 12 million people may want to leave Ukraine permanently and that refugee policies in potential destination countr…

  • A Commentary on “Gender Bias in Parental Attitude

    Open Access•Olle Hammar, Carl Bonander et al.•ARTICLE•Demography•2025•Cited by: 1

    Begum et al. (2018) examined gender bias in parental attitudes using an experimental approach in rural Bangladesh. Households were reported as randomly assigned to treatment conditions in a lab-in-the-field allocation task. We show that the group assignment was inherited from Islam (2019), a previous, nonrandomized experiment conducted in the same region. The lack of randomization contradicts the design descriptions provided by the authors in Beg…

Demographic economics (2 works) · Economic growth (2 works) · Economics (2 works) · Population (2 works) · Accounting (1 work) · Accounting (1 work) · Advanced Causal Inference Techniques (1 work) · Convergence (economics (1 work) · Corruption and Economic Development (1 work) · Demographic Trends and Gender Preferences (1 work)

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