A Stochastic Simulation Approach to Estimating the Economic Impacts of Climate Change in Bangladesh

James Thurlow, Paul Dorosh () and Winston H. Yu

No wp-2011-086, WIDER Working Paper Series from World Institute for Development Economic Research (UNU-WIDER)

Abstract: Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy-wide model of Bangladesh, we estimate and decompose damages from historical climate variability and future anthropogenic climate change. Our stochastic simulation approach avoids biases caused by non-linear damage functions and fixed occurrences of extreme events in historical data. Using ten climate projections, we find that future anthropogenic climate change damages until 2050 are, on average, one-fifth of those from historical climate variability.

Keywords: Agriculture; Climate change; Simulation methods (Economics); Uncertainty (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.wider.unu.edu/sites/default/files/wp2011-086.pdf (application/pdf)

Related works:
Journal Article: A Stochastic Simulation Approach to Estimating the Economic Impacts of Climate Change in Bangladesh (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:unu:wpaper:wp-2011-086

Access Statistics for this paper

More papers in WIDER Working Paper Series from World Institute for Development Economic Research (UNU-WIDER) Contact information at EDIRC.
Bibliographic data for series maintained by Siméon Rapin ().