Tag: Economics and Econometrics

Household willingness to pay for cleaner air was linked to risk and exposure
Study of factors determining household willingness to pay for improved urban air quality in Khulna City, Bangladesh, based on survey data from 385 households.

AI widens wage gaps between high- and low-skill workers
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Calibrated simulation model shows AI consistently widens wage gaps between high- and low-skill workers, with AI taxation proving more effective than training subsidies at reducing inequality.

Inter-provincial cooperation lowers China’s carbon reduction costs
Optimize China’s carbon emission reduction through inter-provincial cooperation mechanisms. A cost-based model shows 40-80% cooperation reduces abatement costs by 60-70% while balancing regional.

Lending creates deposits, according to a historical re-examination
Examines how late 19th-century economic scholarship explains deposit creation through bank lending, challenging modern interpretations of the mechanism.

Geopolitical risk affects stock markets differently by regime
Study reveals geopolitical risk impacts stock returns asymmetrically: negatively in bullish markets, positively in downturns. Emerging markets may hedge geopolitical shocks.

Anticipated regret and discounting shape households’ LCT adoption intentions
Survey of 1,355 UK households explores how anticipated regret and temporal discounting influence low-carbon technology adoption intentions and emission reduction potential.

Environmental taxes show no robust link to sectoral eco-investments
Analysis of seven EU countries reveals environmental taxes do not significantly drive sectoral eco-investments when controlling for economic scale, suggesting need for complementary policy mechanisms.

U.S. monetary policy effects on inflation appear to have strengthened
Machine learning analysis reveals strengthened monetary policy transmission but flattened Phillips curve dynamics, with regime-dependent behavior during post-pandemic inflation.

Economic conditions and presidential approval move together in patterned ways
Machine learning analysis identifies which macroeconomic conditions drive presidential approval ratings. Public sector activity, recession timing, and housing markets show distinct temporal dynamics.










