https://github.com/climateimpactlab/labor-code-release-2020
Science Score: 36.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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8 of 11 committers (72.7%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (9.5%) to scientific vocabulary
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Basic Info
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- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 1
- Releases: 0
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Metadata Files
README.md
labor-code-release-2020
Plots needed
MAIN TEXT: DATA Summary table (we already have this but will need to rearrange, update numbers. Ashwin will rearrange and coordinate with Kit and Rae to get the relevant numbers updated)
MAIN TEXT: THEORY Ashwin and Ishan working on illustrated figures in this section
MAIN TEXT: RESPONSE FUNCTION ESTIMATES NOTE: All FE regimes include the standard ADM3 FE and dow FE Estimate common response (w/differentiated FE) for ADM0 week FE (Kit) Tables of high- and low-risk responses, with different FEs (Kit) Main model ("ADM0 x week" FE): Common, Low, High columns, with rows for 0,5,10,30,35,40 Low and High responses under following FE: "adm3id dowweek adm0id#month#year" "adm3id dowweek adm0id#year" "adm3id dowweek adm0id#weekfe adm0id#year" "adm3id dowweek adm3id#month#year" . 3 low-risk columns, followed by 3 high-risk columns. Rows for temperature as above.
Place histograms under common-, high- and low-risk response plots (Kit)
MAIN TEXT: RISK SHARE ESTIMATES Table of coefficient estimates, 2 columns- with and without continent FEs (might move to appendix) level curves of income effect (at terciles of temperature) level curves of temperature effect (at terciles of income) WE ALREADY HAVE THE TWO LEVEL CURVE PLOTS FROM THE FED PRESENTATION
MAIN TEXT: POST-PROJECTION (examples of these are in Fed slides) IMPACTS IN MINUTES Impact map at 2099 for low- and high-risk workers Share of high-risk workers map at 2020 and 2099 beta map for 37 C response (averaging across high- and low-risk responses by IR) at 2020 and 2099 overall impact map at 2099 (mins/person/day) when we have uncertainty, we will add kernel density for selected IRs time series of overall impacts (mins/person/day) under no adapt and full adapt IMPACTS IN DOLLARS Time series of monetized global disutility Map of global monetized disutility at 2099 as percent of GDP TBD some other spatial breakdown of monetized global disutility (e.g. countries) DAMAGE FUNCTION End-of-century damage function with GCM/RCP points Extrapolated damage functions beyond 2100 PULSE FIGURE Final damage panel to be updated SCC table
APPENDICES
Functional form comparison (bins etc.) Robustness projection using different high/low shares specification (without continent FEs) Single projection with edge restrictions Point estimate projection for different SSPs Inclusion of China (response estimation and single projection) Interacted model
projection (./generate.sh + yml) -> aggregation (./aggregate.sh + yml) -> extraction (single.py, quantiles.py)
Owner
- Name: Climate Impact Lab
- Login: ClimateImpactLab
- Kind: organization
- Email: info@impactlab.org
- Website: https://impactlab.org
- Twitter: impact_lab
- Repositories: 77
- Profile: https://github.com/ClimateImpactLab
A team of scientists, economists and engineers measuring the real-world costs of climate change.
GitHub Events
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- Member event: 1
- Push event: 1
- Create event: 1
Last Year
- Member event: 1
- Push event: 1
- Create event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Ruixue Li | r****i@E****l | 147 |
| Ruixue Lui | l****e@s****u | 100 |
| Kit Schwarz | k****z@b****u | 97 |
| Ruixue Li | l****e@u****u | 69 |
| Nishka Sharma | n****a@s****u | 53 |
| Kit Schwarz | k****z@s****u | 42 |
| Ruixue Lui | l****e@b****u | 36 |
| Nishka Sharma | n****a@u****u | 33 |
| Nishka Sharma | n****a@b****u | 28 |
| kitschwarz | k****z@g****m | 1 |
| Ruixue Li | 3****i | 1 |
Committer Domains (Top 20 + Academic)
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Last synced: about 2 years ago
All Time
- Total issues: 1
- Total pull requests: 1
- Average time to close issues: about 2 hours
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 1
- Average time to close issues: about 2 hours
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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- RFrostChicago (1)
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- JMGilbert (1)