David I. Stern |
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Data Page
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This page provides access to data used or produced in my research. Please ask me for any data that is not on this website.
Follow the link below to download a copy of the classic Berndt and Wood data set I used in my research on elasticities of substitution and complementarity.
Also available is the RATS program I used to estimate and compute the results in MPRA Paper 12414:
Also available is the RATS program I used to estimate and compute the results in MPRA Paper 12454:
Aggregate Global Methane
Follow the link below to download a copy of Stern and Kaufmann's estimates of anthropogenic methane emissions from 1860 to 1994. The file is in text format spaced by tabs. It is an updated version (October 1998) of Table 1 in Stern D. I. and R. K. Kaufmann (1996) Estimates of global anthropogenic methane emissions 1860-1993, Chemosphere 33, 159-176.
These data are also now available from CDIAC's Trends Online.
Sulfur and GDP per Capita Database
This data set combines the ASL data and GDP per capita from the Penn World Table for the period 1960-1990. This is the dataset used in Stern D. I. and M. S. Common (2001) [Is there an environmental Kuznets curve for sulfur? Journal of Environmental Economics and Management. 41, 162-178] and in EEP Working Paper 9804. Countries are indicated by code numbers.
Global Sulfur Emissions by Country 1850-2003
This data set is described in the two papers Global Sulfur Emissions from 1850 to 2000 and Reversal in the Trend of Global Sulfur Emissions. It provides continuous time series from 1850 to 2000, 2001, 2002 (Most OECD countries), or 2003 (China, Mexico, and USA) using a combination of published and reported estimates and my own estimates. The files are in Microsoft Excel format. The data was completely updated in November 2005 when I resubmitted my paper to Global Environmental Change. The data are available on a country by country basis organized into eight global regions:
Emissions are measured in thousands of metric tonnes of sulfur (i.e. Gg). This file presents estimates aggregated for the eight regions, shipping, the northern and southern hemispheres, and the World as a whole:
This is the dataset I used in recent papers on global climate change. It includes surface temperature, ocean heat content and radiative forcing time series. The latter are expressed in watts per square metre rather than the original concentrations or emissions units. The file is in Microsoft Excel format and includes an explanation of the variables. The sources are described in two working papers here and here. As I have updated the data, results using this data could differ from those in the working paper.
