LD
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The Abraham Global Peace Initiative (AGPI) condemns the actions of Pedro Sánchez, who has crossed every diplomatic line by withdrawing Spain’s ambassador from Israel while reopening its embassy in Tehran. His call on the European Union to suspend its Association Agreement with Israel further underscores a deeply troubling and one-sided agenda. Such moves reflect a profound moral inversion at a time requiring clarity and leadership. His harsh anti-Israel rhetoric says far more about his political posture than it does about Israel. AGPI urges Spain to reconsider this dangerous course.
We discover a large “accent premium”: those with high-class accents are more likely to be seen as trustworthy, employable, and worth choosing as friends, coworkers, business partners, or bosses. We also show why this premium emerges. Spoiler: it is not only income or education.
#Hungría 🇭🇺 - encuesta Median (10 abr): TISZA 🔴 arrasaría a Orbán 🟠 y lograría una supermayoría 🔴 TISZA: 141 🟠 Fidesz: 53 🟢 Nuestra Casa: 5 🐕 Perro de Dos Colas: 0 🔵 Coalición D.: 0 🎯PollCheck: 8,3/10 👇 electomania.es/encuesta-hungr…
A point that is sometimes overlooked is that PDEs in physics and economics have a subtle but important difference. When a physicist solves the Schrödinger equation (see my slide below), the potential is given. The coefficients of the equation are part of the problem statement. You pick your grid, refine your mesh, and the equation never changes on you. Better numerics give a better approximation to a fixed target. In economics, this is not the case. Look at the Hamilton-Jacobi-Bellman equation for the neoclassical growth model (also slide below). The drift of capital depends on a derivative of the value function, the very object you are trying to solve for. The “coefficients” of the PDE are endogenous to the optimal choices of the agents. This is what @UncertainLars and Sargent referred to as the cross-equation restrictions implied by optimizing behavior. This is what @MahdiKahou and I call the “equilibrium loop”: improving your approximation changes the policy, which changes the dynamics, which changes where in the state space the economy spends its time, which changes where your approximation needs to be accurate. You are not chasing a fixed target with a better net. Moving the net moves the target. This has serious consequences for computation. You cannot just borrow neural network architectures from deep learning in the natural sciences. The loss function comes from equilibrium conditions, not from labeled data. The evaluation points are not given. Instead, they are regenerated each epoch from the current approximation. Ignoring it is why you often get solutions that look good on a training set but fall apart in simulation.
📰 La Seguridad Social modera el impacto del gasto en pensiones al 14% del PIB hasta 2050, vía elpais.com/economia/2026-… Un placer participar en la presentación de la herramienta INTegraSS. Queda pendiente profundizar en el debate generacional con mi querido @conderuiz... 😉
El secretario general de FACUA, Rubén Sánchez, aclara que la Guardia Civil no lo considera implicado en ninguna red de acoso mediterraneodigital.com/espana/requeri…
España es el 5º país donde más creció la presión fiscal entre 2018 y 2024 (habrá que ver en 2025, porque son +2,9-3pp). Pero es que en Letonia (+19%), Lituania (+71%), Estonia (+6%), Chipre (+4%), Polonia (+20%), Rumanía (+31%), o Eslovaquia (+11%), los salarios, ajustados a la inflación, crecieron en ese periodo mucho más que en España (+0,5%). Tiene sentido que su presión fiscal suba impulsada por el IRPF, que es un impuesto progresivo y crece por encima del PIB con el crecimiento de los salarios.
Lo que no puede ser es ir de chulo faltando el respeto en TikTok e ir de máquina y luego responder así. Encima saca el dm para “dejarme mal” 😭😭