Details about Fiona Burlig
Access statistics for papers by Fiona Burlig.
Last updated 2023-03-05. Update your information in the RePEc Author Service.
Short-id: pbu426
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Working Papers
2025
- The Value of Clean Water: Experimental Evidence from Rural India
NBER Working Papers, National Bureau of Economic Research, Inc 
2024
- The value of forecasts: Experimental evidence from India
NBER Working Papers, National Bureau of Economic Research, Inc View citations (5)
2021
- Blackouts: The role of India's Wholesale Electricity Market
NBER Working Papers, National Bureau of Economic Research, Inc
- Groundwater and Crop Choice in the Short and Long Run
NBER Working Papers, National Bureau of Economic Research, Inc View citations (4)
- Low Energy: Estimating Electric Vehicle Electricity Use
NBER Working Papers, National Bureau of Economic Research, Inc View citations (14)
- The Impact of Domestic Travel Bans on COVID-19 is Nonlinear in Their Duration
NBER Working Papers, National Bureau of Economic Research, Inc View citations (1)
2019
- Panel Data and Experimental Design
NBER Working Papers, National Bureau of Economic Research, Inc View citations (16)
Also in MetaArXiv, Center for Open Science (2017) View citations (5)
2017
- Improving transparency in observational social science research: A pre-analysis plan approach
MetaArXiv, Center for Open Science
See also Journal Article Improving transparency in observational social science research: A pre-analysis plan approach, Economics Letters, Elsevier (2018) View citations (32) (2018)
- Machine Learning from Schools about Energy Efficiency
NBER Working Papers, National Bureau of Economic Research, Inc View citations (35)
Journal Articles
2018
- Improving transparency in observational social science research: A pre-analysis plan approach
Economics Letters, 2018, 168, (C), 56-60 View citations (32)
See also Working Paper Improving transparency in observational social science research: A pre-analysis plan approach, MetaArXiv (2017) (2017)
Software Items
2021
- PCPANEL: Stata module to perform power calculations for randomized experiments with panel data, allowing for arbitrary serial correlation
Statistical Software Components, Boston College Department of Economics
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