Data and Code for: The Role of People vs. Places in Individual Carbon Emissions
Principal Investigator(s): View help for Principal Investigator(s) Eva Lyubich, U.S. Census Bureau
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
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| code | 11/15/2024 07:57:PM | ||
| data | 11/15/2024 08:21:PM | ||
| dataRAW | 02/19/2025 01:31:PM | ||
| out | 11/15/2024 08:21:PM | ||
| rdc | 11/15/2024 07:57:PM | ||
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application/pdf | 273.3 KB | 02/26/2025 03:19:PM |
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Unknown | 1 KB | 11/15/2024 11:39:AM |
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Unknown | 488 bytes | 11/15/2024 01:08:PM |
Project Citation:
Lyubich, Eva. Data and Code for: The Role of People vs. Places in Individual Carbon Emissions. Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-05-07. https://doi.org/10.3886/E211141V1
Project Description
Summary:
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This repository contains code for replicating the results in "The Role of People vs. Places in Individual Carbon Emissions," by Eva Lyubich.
Abstract: There is substantial spatial heterogeneity in household carbon emissions. I leverage movers in two decades of administrative Decennial Census and American Community Survey data to estimate place effects – the amount by which carbon emissions change for the same household living in different places – for almost 1,000 cities and roughly 61,500 neighborhoods across the US. I estimate that place effects account for 14-23 percent of overall heterogeneity. A change in neighborhood-level place effects from one standard deviation above the mean to one below would reduce household carbon emissions from residential energy and commuting by about 40 percent.
Abstract: There is substantial spatial heterogeneity in household carbon emissions. I leverage movers in two decades of administrative Decennial Census and American Community Survey data to estimate place effects – the amount by which carbon emissions change for the same household living in different places – for almost 1,000 cities and roughly 61,500 neighborhoods across the US. I estimate that place effects account for 14-23 percent of overall heterogeneity. A change in neighborhood-level place effects from one standard deviation above the mean to one below would reduce household carbon emissions from residential energy and commuting by about 40 percent.
Scope of Project
JEL Classification:
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H41 Public Goods
Q40 Energy: General
R20 Urban, Rural, Regional, Real Estate, and Transportation Economics: Household Analysis: General
H41 Public Goods
Q40 Energy: General
R20 Urban, Rural, Regional, Real Estate, and Transportation Economics: Household Analysis: General
Geographic Coverage:
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Contiguous United States
Time Period(s):
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2000 – 2019
Universe:
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Sample of individuals and households living in the United States.
Data Type(s):
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program source code
Methodology
Unit(s) of Observation:
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Individual or Household
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