Mehreen Mookerjee

 
   Curriculum Vitae [pdf]

   Contact Information

   404, Uris Hall, Department of Economics
   Cornell University, Ithaca NY 14853. 
   Email: mm2476@cornell.edu
   Phone: (+1) 607 379-8056


  Placement Director
 
Karl Shell
  Email: karl.shell@cornell.edu
  Phone: (+1) 607 255-5277

  Placement Coordinator
 
Rachel Lukens
  Email: rll35@cornell.edu
  Phone: (+1) 607
255-4893

  References

  Ravi Kanbur
(co-chair)
 
Email: sk145@cornell.edu
  Phone: (+1) 607 255-7966

  Antonio M. Bento (co-chair)
  Email: abento@usc.edu
  Phone: (+1)
213 821-1762

  Stephen Coate
(committee member)
  Email: sc163@cornell.edu
  Phone: (+1) 607 255-1912

  Edson Severnini (external reference)
  Email: edsons@andrew.cmu.edu
  Phone: (+1) 510 860-1808

  Victoria Prowse (teaching reference)
  Email: vprowse@purdue.edu
  Phone: (+1) 765 496-2049

 
 
 
 
 

 













 

 



I am a PhD Candidate at the Department of Economics, Cornell University. My fields of interest are Environmental Economics, Climate Change and Development Economics. 

I am currently on the job market and will be available for interviews at the ASSA Annual Meeting in Chicago from 6-8 January 2017.

Work In Progress:

Does Rain Wash out Particulate Matter? An Application to the Effect of Air Pollution on Infant Mortality [Job Market Paper]

Abstract: This paper analyzes the impact of climate change on particulate air pollution and applies this exogenous causal effect to study the effect of air pollution on infant health. Using daily weather data, daily data on PM10 from 1990-2013 and daily data on PM2.5 from 1997-2013, I find the first causal estimates of the level of precipitation as well as the precipitation frequency on particulate matter concentrations in ambient air. I utilize information on Clean Air Act Nonattainment designations, to estimate differential impacts of lesser and infrequent precipitation on air pollution in non-attainment counties vs counties compliant with the federal regulations. I find that lower as well as less frequent rainfall will lead to larger concentrations of particulates in ambient air. The effects are even larger in non-attainment counties, potentially driven by the higher level of precursors and pollution sources. Using my findings, I exploit exogenous rainfall variation in an instrumental variables approach to also estimate the effect of increases in ambient particulate matter on the number of infant deaths. My estimates suggest that a 1 ug/m3 decrease in ambient PM10 concentrations would imply almost 27 fewer infant deaths per 100,000 live births.
      
      Adaptation and the Climate Penalty on Ozone
(with Antonio Bento and Edson Severnini) [pdf]

 Abstract: We propose a novel methodology to estimate adaptation to climate change. Our unifying approach simultaneously exploits weather variation to identify the impact of weather shocks, and climatic variation to identify the effect of longer-run  observed changes. We then compare the short- and long-run effects to provide a measure of adaptation. We apply our  methodology to study the impact of climate change on air quality, and estimate the so-called climate penalty on ozone. This  penalty means that climate change might offset some of the improvements in air quality expected from reductions in ozone  precursors. Adaptation in counties with levels of ozone below the EPA’s standards appears to be smaller than adaptation in  counties in “non-attainment”. Since counties complying with EPA’s ozone standards are not under stringent CAAA  regulations, the former is our measure of “natural” adaptation. Counties out of attainment, however, must reduce ozone  concentration by making costly adjustments in their production processes. Thus, the latter is our measure of regulation-  induced adaptation.

How do Counties and Firms React to Air Quality Regulations in the presence of Climate Change? A Theoretical Model (with Antonio Bento and Ravi Kanbur)

Abstract: In this paper we present a theoretical model that looks at a federal air pollution regulation and tries to analyze the variability in attainment and non attainment designations of counties. Since many areas in the United States have been in non-attainment for prolonged periods, we argue that it must be an optimal choice for the counties, driven by parameters among which climate change is a major one. We find that counties having mild enough climate can actually choose to be in non-attainment, even after internalizing the penalties imposed by the regulation.