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Fiona Burlig

Personal Details

First Name:Fiona
Middle Name:
Last Name:Burlig
Suffix:
RePEc Short-ID:pbu426
http://www.fionaburlig.com
Twitter: @fburlig

Affiliation

(50%) Harris School of Public Policy
University of Chicago

Chicago, Illinois (United States)
http://harris.uchicago.edu/
RePEc:edi:spuchus (more details at EDIRC)

(50%) National Bureau of Economic Research (NBER)

Cambridge, Massachusetts (United States)
http://www.nber.org/
RePEc:edi:nberrus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Fiona Burlig & Anant Sudarshan & Garrison Schlauch, 2021. "The Impact of Domestic Travel Bans on COVID-19 is Nonlinear in Their Duration," NBER Working Papers 28699, National Bureau of Economic Research, Inc.
  2. Fiona Burlig & James B. Bushnell & David S. Rapson & Catherine Wolfram, 2021. "Low Energy: Estimating Electric Vehicle Electricity Use," NBER Working Papers 28451, National Bureau of Economic Research, Inc.
  3. Fiona Burlig & Louis Preonas & Matt Woerman, 2021. "Energy, Groundwater, and Crop Choice," NBER Working Papers 28706, National Bureau of Economic Research, Inc.
  4. Fiona Burlig & Louis Preonas & Matt Woerman, 2019. "Panel Data and Experimental Design," NBER Working Papers 26250, National Bureau of Economic Research, Inc.
  5. Fiona Burlig & Christopher Knittel & David Rapson & Mar Reguant & Catherine Wolfram, 2017. "Machine Learning from Schools about Energy Efficiency," NBER Working Papers 23908, National Bureau of Economic Research, Inc.
  6. Burlig, Fiona, 2017. "Improving transparency in observational social science research: A pre-analysis plan approach," MetaArXiv qemkz, Center for Open Science.

Articles

  1. Burlig, Fiona, 2018. "Improving transparency in observational social science research: A pre-analysis plan approach," Economics Letters, Elsevier, vol. 168(C), pages 56-60.

Software components

  1. Fiona Burlig & Louis Preonas & Matt Woerman, 2017. "PCPANEL: Stata module to perform power calculations for randomized experiments with panel data, allowing for arbitrary serial correlation," Statistical Software Components S458286, Boston College Department of Economics, revised 18 Sep 2020.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Fiona Burlig & James B. Bushnell & David S. Rapson & Catherine Wolfram, 2021. "Low Energy: Estimating Electric Vehicle Electricity Use," NBER Working Papers 28451, National Bureau of Economic Research, Inc.

    Cited by:

    1. Chakraborty, Debapriya & Hardman, Scott & Tal, Gil, 2021. "Integrating Plug-in Electric Vehicles (PEVs) into Household Fleets - Factors Influencing Miles Traveled by PEV Owners in California," Institute of Transportation Studies, Working Paper Series qt2214q937, Institute of Transportation Studies, UC Davis.

  2. Fiona Burlig & Louis Preonas & Matt Woerman, 2019. "Panel Data and Experimental Design," NBER Working Papers 26250, National Bureau of Economic Research, Inc.

    Cited by:

    1. Eszter Czibor & David Jimenez-Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," NBER Working Papers 25451, National Bureau of Economic Research, Inc.
    2. Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    3. Dal Borgo, Mariela, 2021. "Do bankruptcy protection levels affect households' demand for stocks?," CAGE Online Working Paper Series 564, Competitive Advantage in the Global Economy (CAGE).
    4. Almås, Ingvild & Somville, Vincent & Vandewalle, Lore, 2020. "The Effect of Gender-Targeted Transfers: Experimental Evidence From India," Discussion Paper Series in Economics 16/2020, Norwegian School of Economics, Department of Economics.
    5. Matthew R. Denes & Sabrina T. Howell & Filippo Mezzanotti & Xinxin Wang & Ting Xu, 2020. "Investor Tax Credits and Entrepreneurship: Evidence from U.S. States," NBER Working Papers 27751, National Bureau of Economic Research, Inc.
    6. Osinga, Ernst C. & Zevenbergen, Menno & van Zuijlen, Mark W.G., 2019. "Do mobile banner ads increase sales? Yes, in the offline channel," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 439-453.
    7. Peter Z. Schochet, 2021. "Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Designs with Variation in Treatment Timing," Papers 2102.06770, arXiv.org.
    8. Ek, Claes & Söderberg, Magnus, 2021. "Norm-based feedback on household waste: Large-scale field experiments in two Swedish municipalities," Working Papers in Economics 804, University of Gothenburg, Department of Economics.

  3. Fiona Burlig & Christopher Knittel & David Rapson & Mar Reguant & Catherine Wolfram, 2017. "Machine Learning from Schools about Energy Efficiency," NBER Working Papers 23908, National Bureau of Economic Research, Inc.

    Cited by:

    1. Benatia, David & Billette de Villemeur, Etienne, 2019. "Strategic Reneging in Sequential Imperfect Markets," MPRA Paper 105280, University Library of Munich, Germany, revised Jan 2020.
    2. Eliana Carranza & Robyn Meeks, 2016. "Shedding Light: Understanding Energy Efficiency and Electricity Reliability in Developing Countries," Natural Field Experiments 00569, The Field Experiments Website.
    3. Mary Jialin Li, 2017. "Industrial Investments in Energy Efficiency: A Good Idea?," Working Papers 17-05, Center for Economic Studies, U.S. Census Bureau.
    4. Jing Liang & Yueming Qiu & Bo Xing, 2021. "Social Versus Private Benefits of Energy Efficiency Under Time-of-Use and Increasing Block Pricing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 43-75, January.
    5. Carvallo, Juan Pablo & Murphy, Sean P. & Stuart, Elizabeth & Larsen, Peter H. & Goldman, Charles, 2019. "Evaluating project level investment trends for the U.S. ESCO industry: 1990–2017," Energy Policy, Elsevier, vol. 130(C), pages 139-161.
    6. Arne Steinkraus, 2019. "Estimating Treatment Effects With Artificial Neural Nets – A Comparison to Synthetic Control Method," Economics Bulletin, AccessEcon, vol. 39(4), pages 2778-2791.
    7. Steve Cicala, 2017. "Imperfect Markets versus Imperfect Regulation in U.S. Electricity Generation," NBER Working Papers 23053, National Bureau of Economic Research, Inc.
    8. Achyuta Adhvaryu & Namrata Kala & Anant Nyshadham, 2020. "The Light and the Heat: Productivity Co-Benefits of Energy-Saving Technology," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 779-792, October.
    9. Ben Gilbert & Jacob LaRiviere & Kevin Novan, 2019. "Additionality, Mistakes, and Energy Efficiency Investment," Working Papers 2019-01, Colorado School of Mines, Division of Economics and Business.
    10. Abrell, Jan & Kosch, Mirjam & Rausch, Sebastian, 2021. "How effective is carbon pricing? A machine learning approach to policy evaluation," ZEW Discussion Papers 21-039, ZEW - Leibniz Centre for European Economic Research.
    11. Roth, Jonathan & Martin, Amory & Miller, Clayton & Jain, Rishee K., 2020. "SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods," Applied Energy, Elsevier, vol. 280(C).
    12. Ghislaine Lang & Bruno Lanz, 2018. "Energy efficiency, information, and the acceptability of rent increases: A survey experiment with tenants," IRENE Working Papers 18-04, IRENE Institute of Economic Research.
    13. Andres Liberman & Christopher Neilson & Luis Opazo & Seth Zimmerman, 2018. "The Equilibrium Effects of Information Deletion: Evidence from Consumer Credit Markets," NBER Working Papers 25097, National Bureau of Economic Research, Inc.
    14. Colmenares, Gloria & Löschel, Andreas & Madlener, Reinhard, 2019. "The rebound effect and its representation in energy and climate models," CAWM Discussion Papers 106, University of Münster, Center of Applied Economic Research Münster (CAWM).
    15. Bruno Lanz & Evert Reins, 2019. "Asymmetric information on the market for energy efficiency: Insights from the credence goods literature," IRENE Working Papers 19-03, IRENE Institute of Economic Research.
    16. Ahmet Goncu & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2019. "Forecasting Daily Residential Natural Gas Consumption: A Dynamic Temperature Modelling Approach," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 33(1), pages 1-22.
    17. Bian, Xueying & Fabra, Natalia, 2020. "Incentives for information provision: Energy efficiency in the Spanish rental market," Energy Economics, Elsevier, vol. 90(C).
    18. Prest, Brian C. & Krupnick, Alan, 2021. "How clean is “refined coal”? An empirical assessment of a billion-dollar tax credit," Energy Economics, Elsevier, vol. 97(C).
    19. Ghislaine Lang & Bruno Lanz, 2020. "Climate policy without a price signal: Evidence on the implicit carbon price of energy efficiency in buildings," IRENE Working Papers 20-03, IRENE Institute of Economic Research.
    20. Christopher R. Knittel & Samuel Stolper, 2019. "Using Machine Learning to Target Treatment: The Case of Household Energy Use," NBER Working Papers 26531, National Bureau of Economic Research, Inc.
    21. Jan Abrell & Mirjam Kosch & Sebastian Rausch, 2019. "How Effective Was the UK Carbon Tax? — A Machine Learning Approach to Policy Evaluation," CER-ETH Economics working paper series 19/317, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    22. Roth, Jonathan & Brown IV, Howard Alexander & Jain, Rishee K., 2020. "Harnessing smart meter data for a Multitiered Energy Management Performance Indicators (MEMPI) framework: A facility manager informed approach," Applied Energy, Elsevier, vol. 276(C).
    23. Yujie Xu & Vivian Loftness & Edson Severnini, 2021. "Using Machine Learning to Predict Retrofit Effects for a Commercial Building Portfolio," Energies, MDPI, Open Access Journal, vol. 14(14), pages 1-24, July.
    24. Filippini, Massimo & Geissmann, Thomas & Karplus, Valerie J. & Zhang, Da, 2020. "The productivity impacts of energy efficiency programs in developing countries: Evidence from iron and steel firms in China," China Economic Review, Elsevier, vol. 59(C).
    25. David BENATIA, 2020. "Reaching New Lows? The Pandemic's Consequences for Electricity Markets," Working Papers 2020-12, Center for Research in Economics and Statistics.
    26. Joshua Blonz, 2019. "The Welfare Costs of Misaligned Incentives: Energy Inefficiency and the Principal-Agent Problem," Finance and Economics Discussion Series 2019-071, Board of Governors of the Federal Reserve System (U.S.).
    27. Stephen Jarvis & Olivier Deschenes & Akshaya Jha, 2019. "The Private and External Costs of Germany's Nuclear Phase-Out," NBER Working Papers 26598, National Bureau of Economic Research, Inc.
    28. Cerqua, Augusto & Letta, Marco, 2021. "Local inequalities of the COVID-19 crisis," GLO Discussion Paper Series 875, Global Labor Organization (GLO).
    29. Cerqua, Augusto & Letta, Marco, 2020. "Local economies amidst the COVID-19 crisis in Italy: a tale of diverging trajectories," MPRA Paper 104404, University Library of Munich, Germany.
    30. Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2020. "Local mortality estimates during the COVID-19 pandemic in Italy," Discussion Paper series in Regional Science & Economic Geography 2020-06, Gran Sasso Science Institute, Social Sciences, revised Oct 2020.

  4. Burlig, Fiona, 2017. "Improving transparency in observational social science research: A pre-analysis plan approach," MetaArXiv qemkz, Center for Open Science.

    Cited by:

    1. Neisser, Carina, 2017. "The elasticity of taxable income: A meta-regression analysis," ZEW Discussion Papers 17-032, ZEW - Leibniz Centre for European Economic Research.
    2. Martin Brown & Nicole Hentschel & Hannes Mettler & Helmut Stix, 2020. "Financial Innovation, Payment Choice and Cash Demand – Causal Evidence from the Staggered Introduction of Contactless Debit Cards," Working Papers 230, Oesterreichische Nationalbank (Austrian Central Bank).
    3. Janzen, Sarah & Michler, Jeffrey D, 2020. "Ulysses' Pact or Ulysses' Raft: Using Pre-Analysis Plans in Experimental and Non-Experimental Research," MetaArXiv wkmht, Center for Open Science.
    4. Josephson, Anna & Michler, Jeffrey D., 2018. "Viewpoint: Beasts of the field? Ethics in agricultural and applied economics," Food Policy, Elsevier, vol. 79(C), pages 1-11.
    5. Igor Asanov & Christoph Buehren & Panagiota Zacharodimou, 2020. "The power of experiments: How big is your n?," MAGKS Papers on Economics 202032, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    6. Joel Bank & Hamish Fitchett & Adam Gorajek & Benjamin A. Malin & Andrew Staib, 2021. "Star Wars at Central Banks," Staff Report 620, Federal Reserve Bank of Minneapolis.
    7. Daniel Gilfillan & Stacy-ann Robinson & Hannah Barrowman, 2020. "Action Research to Enhance Inter-Organisational Coordination of Climate Change Adaptation in the Pacific," Challenges, MDPI, Open Access Journal, vol. 11(1), pages 1-24, May.
    8. Adam Gorajek & Joel Bank & Andrew Staib & Benjamin Malin & Hamish Fitchett, 2021. "Star Wars at Central Banks," RBA Research Discussion Papers rdp2021-02, Reserve Bank of Australia.

Articles

  1. Burlig, Fiona, 2018. "Improving transparency in observational social science research: A pre-analysis plan approach," Economics Letters, Elsevier, vol. 168(C), pages 56-60. See citations under working paper version above.Sorry, no citations of articles recorded.

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (3) 2017-10-22 2021-03-29 2021-05-03. Author is listed
  2. NEP-REG: Regulation (2) 2017-10-22 2021-03-29. Author is listed
  3. NEP-AGR: Agricultural Economics (1) 2021-05-03
  4. NEP-BIG: Big Data (1) 2017-10-22
  5. NEP-CNA: China (1) 2021-05-03
  6. NEP-CTA: Contract Theory & Applications (1) 2017-10-22
  7. NEP-DCM: Discrete Choice Models (1) 2021-05-03
  8. NEP-ECM: Econometrics (1) 2019-09-16
  9. NEP-ENV: Environmental Economics (1) 2021-03-29
  10. NEP-HEA: Health Economics (1) 2021-05-03
  11. NEP-ORE: Operations Research (1) 2019-09-16
  12. NEP-SEA: South East Asia (1) 2021-05-03
  13. NEP-TRE: Transport Economics (1) 2021-03-29

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