The World Health Organization (WHO) estimates 1 in 3 women worldwide has experienced violence against women. Our study examines the effects of climate conditions on women’s attitudes towards wife beating. The demographic health surveys (DHS) dataset includes over 550,000 women in 38 countries, asked a series of wife beating justification questions in the domestic violence module. Using a linear probability model, we find prior year growing degree days (GDD), prior and current year rainfall variability have statistically significant effects. Most interestingly, we find that a one standard deviation (SD) rise in prior year annual rainfall decreases the likelihood of justifying wife beating this year by 2.81 percentage points. We posit changes in aggregate economic activity on the country level from climate variability influences women’s attitudes towards IPV.
","abstract_html":"<p>The World Health Organization (WHO) estimates 1 in 3 women worldwide has experienced violence against women. Our study examines the effects of climate conditions on women’s attitudes towards wife beating. The demographic health surveys (DHS) dataset includes over 550,000 women in 38 countries, asked a series of wife beating justification questions in the domestic violence module. Using a linear probability model, we find prior year growing degree days (GDD), prior and current year rainfall variability have statistically significant effects. Most interestingly, we find that a one standard deviation (SD) rise in prior year annual rainfall decreases the likelihood of justifying wife beating this year by 2.81 percentage points. We posit changes in aggregate economic activity on the country level from climate variability influences women’s attitudes towards IPV. </p>","abstract_has_math":false,"creators":["Lee, Jean"],"institution":null,"degree_name":"Master of Science in International and Development Economics (MSIDEC)","degree_level":"Thesis","degree_discipline":"Economics","degree_department":null,"school":null,"contributors":["Jesse Anttila-Hughes"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-05-20T07:00:00Z","date_published":"2016-05-20T07:00:00Z","updated_at":"2026-07-24T05:43:40Z","subjects":["International Economics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://repository.usfca.edu/thes/184","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Jesse Anttila-Hughes"]},{"key":"dc:creator","label":"Author","values":["Lee, Jean"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2016-06-22T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Economics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in International and Development Economics (MSIDEC)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["International Economics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://repository.usfca.edu/thes/184"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The World Health Organization (WHO) estimates 1 in 3 women worldwide has experienced violence against women. Our study examines the effects of climate conditions on women’s attitudes towards wife beating. The demographic health surveys (DHS) dataset includes over 550,000 women in 38 countries, asked a series of wife beating justification questions in the domestic violence module. Using a linear probability model, we find prior year growing degree days (GDD), prior and current year rainfall variability have statistically significant effects. Most interestingly, we find that a one standard deviation (SD) rise in prior year annual rainfall decreases the likelihood of justifying wife beating this year by 2.81 percentage points. We posit changes in aggregate economic activity on the country level from climate variability influences women’s attitudes towards IPV.
"]},{"key":"dc:title","label":"Title","values":["Climate Variability Influences Women’s Attitudes Towards Intimate Partner Violence (IPV)"]}]}],"canonical_facts":{"dc:contributor":["Jesse Anttila-Hughes"],"dc:creator":["Lee, Jean"],"dc:date.available":["2016-06-22T07:00:00Z"],"dc:description.abstract":["The World Health Organization (WHO) estimates 1 in 3 women worldwide has experienced violence against women. Our study examines the effects of climate conditions on women’s attitudes towards wife beating. The demographic health surveys (DHS) dataset includes over 550,000 women in 38 countries, asked a series of wife beating justification questions in the domestic violence module. Using a linear probability model, we find prior year growing degree days (GDD), prior and current year rainfall variability have statistically significant effects. Most interestingly, we find that a one standard deviation (SD) rise in prior year annual rainfall decreases the likelihood of justifying wife beating this year by 2.81 percentage points. We posit changes in aggregate economic activity on the country level from climate variability influences women’s attitudes towards IPV.
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