If you are interested in my research, you might also find some of the resources useful that I have been using. Any comments or suggestions regarding this list? Reach out to me via Contact.
Climate Adaptation Research Symposium 2020: Measuring and Addressing Societal Impacts, September 21, 2020.
Virtual Seminar on Climate Economics hosted by the Federal Reserve Bank of San Francisco.
Environment for Development (EfD) annual meeting. November 16-20, 2020. I’ll be chairing and presenting a paper in a session on the ‘Impact of Weather variability’ and discuss a paper in the session on ‘Firm & Energy, Impact of Weather Shock’
American Geophysical Union (AGU) fall meeting. December 1-17, 2020. I’ll be presenting two papers, in the session ‘GH001 - Applications for Understanding, Quantifying, and Predicting the Seasonality (or Not) and Propagation of COVID-19’ and in the session ‘GC079 - Economics and Econometrics of Climate Change: Drivers, Impacts, and Policy Levers’
AERE summer conference. June 2-4, 2021. Miami.
26th Annual Conference of the European Association of Environmental and Resource Economists, June 24-26, 2021. Berlin.
A great tutorial with many tips on using econometric methods to analyse weather and social data: ClimateEstimate.net
Tutorial on using Python for the analysis of weather and environmental data.
Data portal for socioeconomic data: Socioeconomic Data and Applications Center (SEDAC)
Overviews over alternative global weather and climate data: List of Reanalysis and Observational Datasets by NOAA and the NCAR ClimateDataGuide
Climate reanalysis data by the ECMWF: ERA5
Global weather station data provided by NOAA: Global Historical Climatology Network (GHCN)
On differences between weather renalysis and station data see e.g. Parker 2016: Reanalyses and Observations: What’s the Difference?
Global gridded population data: Gridded Population of the World (GPW)
On differences between alternative population data see e.g. Leyk et al. 2019: The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use
Global gridded GDP data: Kummu et al. 2020 and G-ECON of Nordhaus 2006
Global nightlights data either from satellites of the Defense Meteorological Satellite Program (DMSP) covering the years 1992-2013 of from satellites of the Visible Infrared Imaging Radiometer Suite (VIIRS) currently covering the years 2015-2016
Global data on administrative boundaries GADM