The impact of ambient air pollution on hospital admissions
      
      
        
      
      
      
      
        
          
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Filippini, Massimo
  Istituto di economia politica (IdEP), Facoltà di scienze economiche, Università della Svizzera italiana, Svizzera
          
 
          
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Masiero, Giuliano
  Istituto di economia politica (IdEP), Facoltà di scienze economiche, Università della Svizzera italiana, Svizzera
          
 
          
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Steinbach, Sandro
  Department of Management, Technology and Economics (D-MTEC), Swiss Federal Institute of Technology in Zurich (ETH Zurich), Switzerland
          
 
          
        
        
       
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
        
        Published in:
        
          
            
            - European Journal of Health Economics. - 2019, vol. 20, no. 6, p. 919-931
 
            
          
         
       
      
      
      
      
      
       
      
      
      
        
        English
        
        
        
          Ambient air pollution is the environmental factor with the most significant impact on human health. Several epidemiological studies provide evidence for an association between ambient air pollution and human health. However,  the recent economic literature has challenged the identification strategy used in these studies. This paper contributes to the ongoing discussion by investigating the association between ambient air pollution and morbidity using  hospital admission data from Switzerland. Our identification strategy rests on the construction of geographically explicit pollution measures derived from a dispersion model that replicates atmospheric conditions and accounts for  several emission sources. The reduced form estimates account for location and time fixed effects and show that ambient air pollution has a substantial impact on hospital admissions. In particular, we show that SO2 and NO2 are  positively associated with admission rates for coronary artery and cerebrovascular diseases while we find no similar correlation for PM10 and O3. Our robustness checks support these findings and suggest that dispersion models  can help in reducing the measurement error inherent to pollution exposure measures based on station-level pollution data. Therefore, our results may contribute to a more accurate evaluation of future environmental policies  aiming at a reduction of ambient air pollution exposure.
        
        
       
      
      
      
        
        
        
        
        
        
        
        
        
        
        
        
        
        
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                  Economics
                
              
            
          
        
 
        
        
        
          
        
        
        
          
        
        
        
        
        
        
        
        
        
        
        
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          green
        
 
        
        
        
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          https://n2t.net/ark:/12658/srd1319001
        
 
      
     
   
  
  
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