Machine Learning from Schools about Energy Efficiency
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Fiona Burlig | David Rapson | Christopher R. Knittel | Mar Reguant | Catherine D. Wolfram | Catherine Wolfram | C. Knittel | D. Rapson | Mar Reguant | Fiona Burlig
[1] Sébastien Houde,et al. NBER WORKING PAPER SERIES HETEROGENEOUS (MIS-) PERCEPTIONS OF ENERGY COSTS: IMPLICATIONS FOR MEASUREMENT AND POLICY DESIGN , 2019 .
[2] Jessica Granderson,et al. Application of automated measurement and verification to utility energy efficiency program data , 2017 .
[3] Lucas W. Davis,et al. Do Energy Efficiency Investments Deliver at the Right Time? , 2017, American Economic Journal: Applied Economics.
[4] W. Michael Hanemann,et al. The economic impacts of climate change: Evidence from agricultural output and random fluctuations in weather: Comment , 2014 .
[5] Pierre Desprairies,et al. World Energy Outlook , 1977 .
[6] Mateus Souza. Predictive Counterfactuals for Event Studies with Staggered Adoption: Recovering Heterogeneous Effects from a Residential Energy Efficiency Program , 2019, SSRN Electronic Journal.
[7] Maarten Jennen,et al. The impact of energy labels and accessibility on office rents , 2012 .
[8] R. J. Park. Hot Temperature and High Stakes Cognitive Assessments∗ , 2018 .
[9] Alan R. Ellis,et al. The role of prediction modeling in propensity score estimation: an evaluation of logistic regression, bCART, and the covariate-balancing propensity score. , 2014, American journal of epidemiology.
[10] K. Gillingham,et al. Bridging the Energy Efficiency Gap: Policy Insights from Economic Theory and Empirical Evidence , 2013, Review of Environmental Economics and Policy.
[11] Jonathan Hersh,et al. Poverty in HD : What Does High Resolution Satellite Imagery Reveal about Economic Welfare ? , 2016 .
[12] Kevin Novan,et al. The Incentive to Overinvest in Energy Efficiency: Evidence from Hourly Smart-Meter Data , 2018, Journal of the Association of Environmental and Resource Economists.
[13] Sang Michael Xie,et al. Combining satellite imagery and machine learning to predict poverty , 2016, Science.
[14] Matthew Neidell,et al. Temperature and Human Capital in the Short and Long Run , 2015, Journal of the Association of Environmental and Resource Economists.
[15] Xavier Jaravel,et al. Revisiting Event Study Designs , 2017 .
[16] Amitabh Chandra,et al. Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector. , 2016, The American economic review.
[17] Michael Greenstone,et al. Do Energy Efficiency Investments Deliver? Evidence from the Weatherization Assistance Program , 2015 .
[18] Victor Chernozhukov,et al. Inference on Treatment Effects after Selection Amongst High-Dimensional Controls , 2011 .
[19] Susan Athey,et al. Beyond prediction: Using big data for policy problems , 2017, Science.
[20] Paul L. Joskow,et al. What Does a Negawatt Really Cost? Evidence from Utility Conservation Programs , 1992 .
[21] J. Reif,et al. The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction , 2016, The American economic review.
[22] Matthew J. Kotchen,et al. Longer-Run Evidence on Whether Building Energy Codes Reduce Residential Energy Consumption , 2017, Journal of the Association of Environmental and Resource Economists.
[23] John M. Quigley,et al. The Economics of Green Building , 2010, Review of Economics and Statistics.
[24] Nicholas Ryan,et al. Energy Productivity and Energy Demand: Experimental Evidence from Indian Manufacturing Plants , 2018 .
[25] Ryan Engstrom,et al. Poverty from Space: Using High-Resolution Satellite Imagery for Estimating Economic Well-Being , 2017 .
[26] Alberto Abadie,et al. Choosing among Regularized Estimators in Empirical Economics: The Risk of Machine Learning , 2019, Review of Economics and Statistics.
[27] Matthew E. Kahn,et al. Carbon emissions from the commercial building sector: The role of climate, quality, and incentives , 2014 .
[28] Michael Luca,et al. Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy , 2016 .
[29] Paul J. Gertler,et al. Cash for Coolers : Evaluating a Large-Scale Appliance Replacement Program in Mexico , 2014 .
[30] Steve Cicala. When Does Regulation Distort Costs? Lessons from Fuel Procurement in U.S. Electricity Generation , 2013 .
[31] Michael Greenstone,et al. Measuring the Welfare Effects of Residential Energy Efficiency Programs , 2017 .
[32] Gabriel Cadamuro,et al. Predicting poverty and wealth from mobile phone metadata , 2015, Science.
[33] H. Allcott,et al. Is There an Energy Efficiency Gap? , 2012 .
[34] G. Imbens,et al. Matrix Completion Methods for Causal Panel Data Models , 2017, Journal of the American Statistical Association.
[35] R. Newell,et al. Assessing the Energy-Efficiency Gap , 2015 .
[36] S. Borenstein. The Trouble With Electricity Markets: Understanding California's Restructuring Disaster , 2002 .
[37] Hal R Varian,et al. Causal inference in economics and marketing , 2016, Proceedings of the National Academy of Sciences.
[38] Arik Levinson,et al. How Much Energy Do Building Energy Codes Save? Evidence from California Houses , 2016 .
[39] Steve Cicala. Imperfect Markets Versus Imperfect Regulation in U.S. Electricity Generation , 2017 .
[40] Andrew Goodman-Bacon. Difference-in-Differences with Variation in Treatment Timing , 2018, Journal of Econometrics.
[41] J. Robins,et al. Double/Debiased Machine Learning for Treatment and Structural Parameters , 2017 .
[42] Susan Athey,et al. Recursive partitioning for heterogeneous causal effects , 2015, Proceedings of the National Academy of Sciences.
[43] Jure Leskovec,et al. Human Decisions and Machine Predictions , 2017, The quarterly journal of economics.
[44] Sendhil Mullainathan,et al. Machine Learning: An Applied Econometric Approach , 2017, Journal of Economic Perspectives.
[45] Merrian Borgeson. Financing Energy Upgrades for K-12 School Districts: A Guide to Tapping into Funding for Energy Efficiency and Renewable Energy Improvements , 2014 .
[46] César A. Hidalgo,et al. Cities Are Physical Too: Using Computer Vision to Measure the Quality and Impact of Urban Appearance , 2016 .
[47] D. McCaffrey,et al. Propensity score estimation with boosted regression for evaluating causal effects in observational studies. , 2004, Psychological methods.
[48] Joshua A. Blonz,et al. The Welfare Costs of Misaligned Incentives: Energy Inefficiency and the Principal-Agent Problem , 2019, Finance and Economics Discussion Series.
[49] S. Borenstein,et al. Do Two Electricity Pricing Wrongs Make a Right? Cost Recovery, Externalities, and Efficiency , 2018, American Economic Journal: Economic Policy.
[50] Esther Duflo,et al. Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments , 2017 .
[51] A. Fuels,et al. Electric power monthly , 1992 .
[52] Paul J. Ferraro,et al. Panel Data Designs and Estimators as Substitutes for Randomized Controlled Trials in the Evaluation of Public Programs , 2017, Journal of the Association of Environmental and Resource Economists.
[53] Alberto Abadie,et al. The risk of machine learning , 2017, 1703.10935.