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Kamal Romero
@kamromero.bsky.social
Strictly increasing, strictly concave, and satisfy Inada conditions
72 followers374 following13 posts
Reposted by Kamal Romero
ASaaronsojourner.org

Immigrants lower housing prices because they make up a disproportionate share of the housing construction workforce, per this evidence. More immigrants means lower housing prices. https://buff.ly/3zRtE5q

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Reposted by Kamal Romero
Nnberpubs.bsky.social

Exploring the links between exchange rates and the global network of equity holdings, from Hélène Rey, Vania Stavrakeva, and Jenny Tang https://www.nber.org/papers/w33003

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Reposted by Kamal Romero

Universal Tariffs Not Only Impose Immense Economic Costs, but Also Fail to Achieve Their Primary Policy Aims and Foster Political Dysfunction Along the Way www.apricitas.io/p/universal-...

Universal Tariffs are Universally Bad
Universal Tariffs are Universally Bad

Trump's Plan for Aggressively High Universal Tariffs Would be Horrible for the US Economy

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Reposted by Kamal Romero
RRrladiesrome.bsky.social
Reposted by Kamal Romero
AJaeajournals.bsky.social

The largest temporary increase to UI benefits in US history had little impact on the job-finding rates of the unemployed, say researchers at the University of Chicago and JPMorgan Chase Institute. #econskywww.aeaweb.org/research/cha...

Job search and unemployment insurance
Job search and unemployment insurance

Do expanded unemployment benefits lower job-finding rates?

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Reposted by Kamal Romero
RKramikrispin.bsky.social
Reposted by Kamal Romero
AVavehtari.bsky.social

The latest `brms` CRAN release added support for `priorsense` for easy prior and likelihood sensitivity analysis doi.org/10.1007/s112...#Bayesian#rstats

fit |>
  powerscale_plot_dens(variable='b_doseg', help_text=FALSE) +
  labs(x='Dose (g) coefficient', y=NULL)
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Reposted by Kamal Romero
VCvoxeu.org

📉Measuring economic losses caused by climate change 📈 Senne Aerts, Livio Stracca, Agnieszka Trzcinska highlight the persisting #uncertainties#economiccepr.org/voxeu/column...#EconSky#climate

Extreme weather events are bringing devastating consequences for an increasing number of people and countries, so quantifying their economic impact is highly relevant. The effect of changes in climate-related variables on economic output is typically estimated using a ‘damage function’. The methodologies and damage estimates relating to these functions vary a great deal, with each approach having its advantages and limitations. This first in a two-column series explores the concept of damage functions, highlighting the persisting uncertainties and the importance of continued dialogue to refine our understanding of climate-induced economic losses.
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Kamal Romero
@kamromero.bsky.social
Strictly increasing, strictly concave, and satisfy Inada conditions
72 followers374 following13 posts