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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Machine learning from schools about energy efficiency |
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Identification Number: |
doi:10.7910/DVN/NDAYCR |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2020-06-22 |
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Version: |
1 |
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Bibliographic Citation: |
Burlig, Fiona; Knittel, Christopher R.; Rapson, David; Reguant, Mar; Wolfram, Catherine, 2020, "Replication Data for: Machine learning from schools about energy efficiency", https://doi.org/10.7910/DVN/NDAYCR, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication Data for: Machine learning from schools about energy efficiency |
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Identification Number: |
doi:10.7910/DVN/NDAYCR |
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Authoring Entity: |
Burlig, Fiona (University of Chicago) |
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Knittel, Christopher R. (MIT) |
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Rapson, David (UC Davis) |
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Reguant, Mar (Northwestern University) |
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Wolfram, Catherine (UC Berkeley) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Burlig, Fiona |
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Access Authority: |
Reguant, Mar |
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Depositor: |
Burlig, Fiona |
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Date of Deposit: |
2020-06-19 |
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Holdings Information: |
https://doi.org/10.7910/DVN/NDAYCR |
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Study Scope |
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Keywords: |
Social Sciences, economics, machine learning, energy efficiency, schools |
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Abstract: |
This file contains the (unrestricted) data and code required to replicate "Machine learning from schools about energy efficiency" by Burlig, Knittel, Rapson, Reguant, and Wolfram. As described in the readme, this project was conducted under a non-disclosure agreement with Pacific Gas and Electric, so we are prohibited from releasing some necessary data for replication. The readme describes how researchers can access the data. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Label: |
BKRRW_JAERE_MASTER.zip |
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Text: |
Full replication file for BKRRW. |
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Notes: |
application/zip |