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Two event-study plots of estimated CWA effects on water quality (in Panel A) and population (in Panel B) by year. Panel A plots changes in dissolved oxygen levels (mg/L) over time from 1963 through 1992, showing little change prior to 1972 and steady, positive increases afterward, with most post-1972 estimates statistically above zero. Panel B plots changes in log population by decade from 1930 through 2000, showing flat or negative coefficients before 1970 and modest positive, statistically significant increases after 1970. Both panels include 95% confidence intervals around point estimates and a vertical dashed red line marking the CWA’s passage in 1972.

Two event-study plots of estimated CWA effects on water quality (in Panel A) and population (in Panel B) by year. Panel A plots changes in dissolved oxygen levels (mg/L) over time from 1963 through 1992, showing little change prior to 1972 and steady, positive increases afterward, with most post-1972 estimates statistically above zero. Panel B plots changes in log population by decade from 1930 through 2000, showing flat or negative coefficients before 1970 and modest positive, statistically significant increases after 1970. Both panels include 95% confidence intervals around point estimates and a vertical dashed red line marking the CWA’s passage in 1972.

💧 Clean water mandates are costly, but they can drive local growth! 🏘️
A new #JAERE study finds that the 1972 Clean Water Act tripled resident user fees 💸 — yet surface water quality improved 19% and populations grew 13–30% faster in municipalities under 10,000 people.
📈 #JaereFigureFriday
📉 #Econsky

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Regression coefficients and confidence intervals for price subsidy impacts on different driver categories (all, business, private) across peak, flat, and valley periods.

Regression coefficients and confidence intervals for price subsidy impacts on different driver categories (all, business, private) across peak, flat, and valley periods.

⚡️ Charging price subsidies work — but not equally for everyone! 🚗💨
A new #JAERE study finds EV charging subsidies in Beijing boosted daily charging volumes by 25% — smarter targeting by driver type or time-of-day ⏰ could do even more.
📈 #JaereFigureFriday
📉 #Econsky

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Figure 3 is a scatter plot showing the ratio of GS adjusted by the World Bank approach WB (using GSCC of USD 194/tCO2) for countries along the horizontal axis and the ratio of LSI and GNI for countries along the vertical axis. It illustrates how the LSI of the present paper leads to divergent empirical assessments of sustainability.

Figure 3 is a scatter plot showing the ratio of GS adjusted by the World Bank approach WB (using GSCC of USD 194/tCO2) for countries along the horizontal axis and the ratio of LSI and GNI for countries along the vertical axis. It illustrates how the LSI of the present paper leads to divergent empirical assessments of sustainability.

🌍 Is a nation’s growth truly sustainable if it ignores its vulnerability to climate change?
⚖️ A new #JAERE study expands the focus of sustainability from a responsibility approach to how global emissions damage that specific country's future.
📊 #JaereFigureFriday
🌎 #EconSky

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Estimated effects of safety inspection removal on log registrations are largely flat and close to zero in the years prior to removal, then rise afterward. The increase unfolds gradually over the first two years after removal, stabilizing 2+ years after removal at effect sizes between 0.06-0.08.

Estimated effects of safety inspection removal on log registrations are largely flat and close to zero in the years prior to removal, then rise afterward. The increase unfolds gradually over the first two years after removal, stabilizing 2+ years after removal at effect sizes between 0.06-0.08.

Does eliminating vehicle safety inspections actually lead to more driving and more pollution? 🚗💨
🎯 A recent #JAERE study finds that ending safety inspections does increase vehicle fleets by about 5%, but the extra cars are driven much less than average.
📊 #JaereFigureFriday
🌎 #EconSky

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Event study coefficient plots showing significant pre-treatment trends in the full HUC sample, but not in the ever-treated sample. Following treatment, ammonia and TKN concentrations decline, while phosphorus concentrations increase.

Event study coefficient plots showing significant pre-treatment trends in the full HUC sample, but not in the ever-treated sample. Following treatment, ammonia and TKN concentrations decline, while phosphorus concentrations increase.

🌊A new #JAERE study provides the first causal evidence that restored wetlands improve water quality across the Mississippi River Basin.
Using 30+ years of data, it shows federal wetland easements reduce nutrient pollution, especially in agricultural watersheds
#JaereFigureFriday
🌎 #EconSky

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Two-panel graphic: upper panel plots regression estimates and confidence intervals for dust events and temperature bins, visually indicating increased workplace accidents at higher temperatures and during dust episodes; lower panel presents histograms showing frequency of dust days and temperature levels.

Two-panel graphic: upper panel plots regression estimates and confidence intervals for dust events and temperature bins, visually indicating increased workplace accidents at higher temperatures and during dust episodes; lower panel presents histograms showing frequency of dust days and temperature levels.

🌪️ Do dust storms affect more than visibility and health? Yes, workplace safety too.
📊 a new #JAERE research using daily data from Spain (2010–2019) shows dust events raise workplace accidents by ~1.4%, explaining ~1 in every 400 total accidents.
📊 #JaereFigureFriday
🌎 #EconSky

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Six panels illustrate the time trajectories of endogenous variables in four policy scenarios: the stock of clean capital; the carbon tax and the social carbon value; the social and private value of clean capital; the FIP and the subsidy targeted to learning by doing; energy consumption; fossil fuels use.

Six panels illustrate the time trajectories of endogenous variables in four policy scenarios: the stock of clean capital; the carbon tax and the social carbon value; the social and private value of clean capital; the FIP and the subsidy targeted to learning by doing; energy consumption; fossil fuels use.

Can we subsidize our way to Net Zero? 🌍⚡
Rising carbon taxes are efficient, but often politically infeasible.
A new #JAERE study asks what happens when policy settles for a second-best approach:
a low, constant carbon tax, paired with large green subsidies.
📊 #JaereFigureFriday
🌎 #EconSky

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A new #JAERE study reveals powerful force in reducing urban water pollution: your neighbors!👀💧
In Seattle’s RainWise Green Stormwater Infrastructure program, having one more neighbor adopt raises your own likelihood by 0.24 percentage points—66% increase 📈.
#JaereFigureFriday
📈📉 #Econsky

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Six coefficient plots of the effect of temperature on the percentage of households consuming below
80% of the recommended levels of different nutrients. The x-axis contains 10◦F temperature bins from below 70◦F to above 110◦F. The nutrient in Panel A is protein, and no coefficients are statistically significant. The outcome in Panel B is iron, and only the coefficients for the 80 to 90◦F bin (0.14) and the 90 to 100◦F bin (0.16) are statistically significant. The nutrient in Panel C is zinc, and statistically significant coefficients range from 0.16 for the 80 to 90◦F bin to 0.25 for the above 110◦F bin. The nutrient in Panel D is thiamine, and statistically significant coefficients range from 0.13 for the 70 to 80◦F bin to 0.32 for the above 110◦F bin. The nutrient in Panel E is niacin, and statistically significant coefficients range from 0.13 for the 70 to 80◦F bin to 0.41 for the above 110◦F bin. The nutrient in Panel F is riboflavin, and no coefficients are statistically significant.

Six coefficient plots of the effect of temperature on the percentage of households consuming below 80% of the recommended levels of different nutrients. The x-axis contains 10◦F temperature bins from below 70◦F to above 110◦F. The nutrient in Panel A is protein, and no coefficients are statistically significant. The outcome in Panel B is iron, and only the coefficients for the 80 to 90◦F bin (0.14) and the 90 to 100◦F bin (0.16) are statistically significant. The nutrient in Panel C is zinc, and statistically significant coefficients range from 0.16 for the 80 to 90◦F bin to 0.25 for the above 110◦F bin. The nutrient in Panel D is thiamine, and statistically significant coefficients range from 0.13 for the 70 to 80◦F bin to 0.32 for the above 110◦F bin. The nutrient in Panel E is niacin, and statistically significant coefficients range from 0.13 for the 70 to 80◦F bin to 0.41 for the above 110◦F bin. The nutrient in Panel F is riboflavin, and no coefficients are statistically significant.

🌾How does extreme heat change diets of farming families in rural India?
🔥A new #JAERE study finds that when growing-season temperatures spike, crop yields drop and this drives strong undernutrition for many households, especially calories, zinc, thiamine, and niacin.
📊 #JaereFigureFriday
🌎 #EconSky

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Figure 3 shows three lines: yield effect (blue), quality effect (orange), and total effect (black). Revenue peaks near 27 °C and drops as temperatures rise; 24 h above 40 °C cut revenue ≈ 2%, with yield dominating but quality adding ~12% more loss.

Figure 3 shows three lines: yield effect (blue), quality effect (orange), and total effect (black). Revenue peaks near 27 °C and drops as temperatures rise; 24 h above 40 °C cut revenue ≈ 2%, with yield dominating but quality adding ~12% more loss.

🌡️ When temperatures rise, we know crop yields can decline. But what happens to crop quality? 🤔
🍅 New #JAERE research on California’s processing tomatoes shows that extreme heat lowers both yields and quality, and cutting farmers' revenue.
📊 #JaereFigureFriday
🌎 #EconSky

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💭 Have you ever wondered if joining a booming industry pays off in the long run? What happens when the boom ends?
📉 A new #JAERE study on Brazil’s oil sector finds that timing and education are everything. Early, well-educated workers gained lasting benefits.
#JaereFigureFriday
📈📉 #Econsky

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⚡ Can the U.S. rapidly cut coal use with today’s grid?
📉 A new #JAERE study says yes. Replacing coal with spare natural gas capacity could:
• Shrink coal generation 66–93%
• Cut CO₂ emissions 18–29%
• At $49–92/t — below the social cost of carbon
📊 #JaereFigureFriday
🌎 #EconSky

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🚯 When a major country bans waste imports, where does all the waste go?
📉 A new #JAERE study on China’s 2017 ban finds:
♻️ Low-value waste (plastics) was diverted to lower-income countries.
🌍 Global waste flows fell 8–11%, cutting environmental costs.
📊 #JaereFigureFriday
🌎 #EconSky

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🌬️ Can wind energy projects power local job growth?
📈 A new #JAERE study finds that when a new wind farm opens in Brazil, local employment rises by 7–15%, with gains concentrated in construction, transportation, and electricity-related jobs.
📊 #JaereFigureFriday
🌎 #EconSky

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🚨 Do people listen when an emergency alert asks them to save energy?
During Michigan’s 2019 gas shortage, a phone alert to set thermostats at 65°F spurred action within minutes—unlike earlier social media/news nudges. Smart thermostat data show an average 1.1°F drop.
📊 #JaereFigureFriday
🌎 #EconSky

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🌱 What is the biodiversity cost of infrastructure in India?
🦉 New JAERE research shows ~20% of bird species loss (2015–2020) came from projects like roads, irrigation, resettlement, and mining, using 1M+ birdwatching checklists & forest clearance data.
📊 #JaereFigureFriday
🌎 #EconSky

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💨 How can we cut methane emissions cost-effectively when enforcement is hard?
🎯 A new #JAERE study shows that targeted audits using 🛰️ remote sensing can recover up to 16% of first-best welfare—despite fee caps and limited capacity.
📊 #JaereFigureFriday
🌎 #EconSky

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🏭 #JaereFigureFriday is now live at @aereorg.bsky.social!
📊 Explore the latest visual insight from a newly accepted article in #JAERE.
📍 Follow @aereorg.bsky.social to stay up to date on all things REEP and JAERE!

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🔥 How is wildfire smoke reshaping California’s agricultural labor markets?
📱 New research using smartphone location data shows that wildfire smoke leads to fewer local farm hires and disrupts seasonal migration patterns.
#JaereFigureFriday
#EconSky

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🏭 #JaereFigureFriday is now live at @aereorg.bsky.social!
📊 Explore the latest visual insight from a newly accepted article in #JAERE.
📍 Follow @aereorg.bsky.social to stay up to date on all things REEP and JAERE!
#EconSky

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🎆 Happy Independence Day! Hope you're staying safe and cool in the heat. ☀️💧
✈️ A new #JaereFigureFriday is up at @aereorg.bsky.social, highlighting how extreme heat affects airline operations!
📍 Follow @aereorg.bsky.social to stay updated on all things JAERE and REEP. 😄

#EconSky

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🎆 Happy Independence Day! Hope you're staying safe and cool in the heat.☀️💧
✈️ New #JAERE study shows that extreme heat takes a toll on airline operations: when temperatures top 35°C(=95°F), flight cancellations rise by 30% and delays stretch over 20% longer.
#JaereFigureFriday
#EconSky

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💡🏗️ How much does local opposition to renewable energy cost us?

📘 New work in JAERE studies ~4,000 UK wind & solar projects and finds that efficient reallocation could have added £38 billion in social value—a 26% gain lost to planning-related misallocation.

#JaereFigureFriday
📊 #EconSky

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How does electricity critical peak pricing (CPP) affect electricity consumption?

🔌💡 New work in JAERE studies a Norwegian RCT w/ temporary ⬆️ in electricity prices - especially relevant as electrification and (peak) demand increase around the 🌎.

#JaereFigureFriday
📈📉 #EconSky

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How does volumetric pricing affect water consumption?

🚿🚰 New work in JAERE studies the introduction of individual metering/billing of hot water in apartments and finds that individual billing ⬇️ hot💧consumption by 18% (immediately and permanently).

#JaereFigureFriday 📈📉 #EconSky

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What are the effects of public attention on conservation?

📈 🌳 New work in JAERE studies a time of unprecedented public attention on forest fires in the Brazilian Amazon - after fires "went viral" in Aug. 2019 - that ⬇️ subsequent fires (in the short term).

#JaereFigureFriday #EconSky 📈📉

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What are the effects of extreme temperatures on consumption?

🏪 💳 New work in JAERE provides evidence on contemporaneous + cumulative effects of extreme temps using micro shopping data in the US. Extreme temps ⬇️ the # of store visit in short & long-run.

#JaereFigureFriday 📈📉 #EconSky

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In the context of electric vehicles, can the pairing of policy instruments improve economic efficiency by helping to address multiple market failures?

🚗🔌 New work in JAERE demonstrates an important interaction b/w EV policies + carbon pricing.

#JaereFigureFriday 📈📉

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How can governments tax companies w/o distorting investments? Do the timing of tax deductions matter?

📈New work in @jaereaere.bsky.social studies a novel tax reform in Norway & finds evidence that the timing of resource rent taxes matters if there are financial frictions!

#JaereFigureFriday

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