[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-108530-en":3,"doc-seo-108530-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},108530,8796095462418,"Noah","https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780",8,"Research & Report","Background Note 2 - Valuing Mortality Attributable to Climate Change in Argentina - November 3, 2022","This manuscript analyzes how extreme temperatures affect human mortality rates in Argentina, estimating causal impacts using nonparametric techniques on panel data. Monthly municipal mortality rates from all deaths between 2010 and 2019 are regressed on monthly temperatures and precipitation with municipality-by-month and month fixed effects. Separate regressions assess heterogeneous effects by age and gender, with robustness checks and comparisons across aggregate causes of death. Results show colder-than-average and hotter-than-average temperatures raise mortality, with older populations at highest risk; economic damages from cold and heat are quantified in GDP terms, including valuation under climate change scenarios.","| \u003Cbr>sure Authorized\u003Cbr>Figures\u003Cbr>\u003Cbr> |\n| --- |\n| Pub l ic Disclo\u003Cbr>\u003Cbr> |\n| orized |\n| Disc losure Auth\u003Cbr>\u003Cbr> |\n| Public\u003Cbr> |\n| ure Authorized\u003Cbr>\u003Cbr>BACKGROUND NOTE 2. VALUING MORTALITY |\n| Pub lic Disclos\u003Cbr> ATTRIBUTABLE TO CLIMATE |\n| ed\u003Cbr> CHANGE IN ARGENTINA\u003Cbr>\u003Cbr> |\n| osure Author iz\u003Cbr> |\n| Pub l ic Discl\u003Cbr>\u003Cbr> |\n|  |\n|  |\n| \u003Cbr>November 3, 2022 |\n\nTable of Contents  \n1. Introduction................................................................................................................3  \n2. Empirical strategy ......................................................................................................8  \n2.1. Benchmark model .............................................................................................................8  \n2.2. Climate change estimation ................................................................................................9  \n2.3. Number of deaths due to extreme temperature and its change.......................................9  \n2.4. Mortality damages attributable to temperature extremes and their change ................. 10  \n3. Data......................................................................................................................... 11  \n3.1. Mortality rate .................................................................................................................. 11  \n3.2. Meteorological records ................................................................................................... 11  \n3.3. Climate change ............................................................................................................... 12  \n3.4. Valuation ......................................................................................................................... 13  \n4. Results .................................................................................................................... 15  \n4.1. Mortality rates................................................................................................................. 15  \n4.2. Extreme temperatures: deaths and economic damages ............................................... 17  \n4.3. Robustness checks......................................................................................................... 18  \n5. Conclusions............................................................................................................. 20  \n6. References .............................................................................................................. 22  \nAppendix............................................................................................................................ 25  \nBackground Note 2. Valuing mortality attributable to climate change in Argentina  \nPrepared by Christian García-Witulski (UCA), Mariano Rabassa (UCA), Mariana Conte Grand (WBG) , and Julie Rozenberg (WBG)  \nThis manuscript analyzes the effect temperature on human mortality rates in Argentina. The study restson nonparametric techniques applied to data with a panel structure to estimate the causal effect of temperature extremes on mortality. Monthly mortality rates for municipalities, constructed from the universe of deaths between 2010 and 2019 were regressed on monthly temperatures, precipitation, and municipality-by-month and month fixed effects. Separate regressions were carried out to examine the heterogeneous impacts by age and gender. We also explore alternative specifications as well as differences by aggregate death causes. Results show that extreme temperatures increase mortality rates relative to mean temperatures, and the impact of colder-than-average temperatures in slightly greater in magnitude than that of hotter ones. There exists substantial heterogeneity between age groups, with older people facing greater risks while results for gender and proxied income level is inconclusive. All days of extreme cold cause associated death damages equivalent to ","cbCaifSjZRPWp5nS","https://ap.wps.com/l/cbCaifSjZRPWp5nS","pdf",1227011,6,1,27,"English","en",105,"# Introduction\n# Empirical strategy\n## Benchmark model\n## Climate change estimation\n## Number of deaths due to extreme temperature and its change\n## Mortality damages attributable to temperature extremes and their change\n# Data\n## Mortality rate\n## Meteorological records\n## Climate change\n## Valuation\n# Results\n## Mortality rates\n## Extreme temperatures: deaths and economic damages\n## Robustness checks\n# Conclusions\n# References\n## Appendix","[{\"question\":\"How does the study estimate the causal effect of extreme temperatures on mortality in Argentina?\",\"answer\":\"Monthly municipal mortality rates from 2010–2019 are regressed on monthly temperatures and precipitation using municipality-by-month and month fixed effects, applying nonparametric techniques for causal estimation.\"},{\"question\":\"What do the results show about deaths from cold versus heat extremes?\",\"answer\":\"Extreme temperatures increase mortality relative to mean temperatures; the impact of colder-than-average days is slightly larger in magnitude than hotter ones.\"},{\"question\":\"How are climate change impacts valued in economic terms?\",\"answer\":\"The study translates associated mortality changes into GDP-equivalent damages, reporting cold-day damages equivalent to 0.5% of GDP and heat damages corresponding to 0.1% of 2019 GDP, with additional totals under climate change scenarios.\"}]","Background Note 2 - Valuing Mortality Attributable to Climate Change in Argentina - November 3, 2022 | PDF",1784472110,68,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"background-note-2-valuing-mortality-attributable-to-climate-change-in-argentina-november-3-2022","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/background-note-2-valuing-mortality-attributable-to-climate-change-in-argentina-november-3-2022/108530/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-07-30","2026-07-19",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"How does the study estimate the causal effect of extreme temperatures on mortality in Argentina?","Question",{"text":77,"@type":78},"Monthly municipal mortality rates from 2010–2019 are regressed on monthly temperatures and precipitation using municipality-by-month and month fixed effects, applying nonparametric techniques for causal estimation.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"What do the results show about deaths from cold versus heat extremes?",{"text":82,"@type":78},"Extreme temperatures increase mortality relative to mean temperatures; the impact of colder-than-average days is slightly larger in magnitude than hotter ones.",{"name":84,"@type":75,"acceptedAnswer":85},"How are climate change impacts valued in economic terms?",{"text":86,"@type":78},"The study translates associated mortality changes into GDP-equivalent damages, reporting cold-day damages equivalent to 0.5% of GDP and heat damages corresponding to 0.1% of 2019 GDP, with additional totals under climate change scenarios.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,99,103,107,112,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":100,"show_sort_weight":101,"slug":102},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":104,"show_sort_weight":105,"slug":106},"Exam",70,"exam",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":110,"slug":111},5,"Comic",60,"comic",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":108,"slug":139},19,"General","general"]