JASA
Apr 2026

Identification of Causal Effects Using Instrumental Variables

Joshua D. Angrist, Guido W. Imbens, Donald B. Rubin
We outline a framework for causal inference in settings where assignment to a binary treatment is ignorable, but compliance with the assignment is not perfect so that the receipt of treatment is nonignorable. To address the problems associated with comparing subjects by the ignorable assignment-an intention-to-treat…
QJE
Apr 2026

Income Inequality in the United States, 1913-1998

Thomas Piketty, Emmanuel Saez
This paper presents new homogeneous series on top shares of income and wages from 1913 to 1998 in the United States using individual tax returns data. Top income and wages shares display a U-shaped pattern over the century. Our series suggest that the large shocks that capital owners experienced during the Great…
Ann. Rev. Econ.
Apr 2026

The China Shock: Learning from Labor Market Adjustment to Large Changes in Trade

David Autor, David Dorn, Gordon Hanson
China’s emergence as a great economic power has induced an epochal shift in patterns of world trade. Simultaneously, it has challenged much of the received empirical wisdom about how labor markets adjust to trade shocks. Alongside the heralded consumer benefits of expanded trade are substantial adjustment costs and…
Paper
Apr 2026

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Shunyu Yao, Dian Yu, Jeffrey Zhao et al.
Language models are increasingly being deployed for general problem solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall short in tasks that require exploration, strategic lookahead, or where initial decisions…
Paper
Apr 2026

DeepSeek-Coder: When the Large Language Model Meets Programming — The Rise of Code Intelligence

Daya Guo, Qihao Zhu, Dejian Yang et al.
The rapid development of large language models has revolutionized code intelligence in software development. However, the predominance of closed-source models has restricted extensive research and development. To address this, we introduce the DeepSeek-Coder series, a range of open-source code models with sizes from…
NBER
Apr 2026

Human Capital and Climate Change

Noam Angrist, Kevin Winseck, Harry Anthony Patrinos et al.
Addressing climate change requires individual behavior change and voter support for pro-climate policies, yet surprisingly little is known about how to achieve these outcomes. In this paper, we estimate causal effects of additional education on pro-climate outcomes using new compulsory schooling law data across 20…
NBER
Apr 2026

Capital-Skill Complementarity in Firms and in the Aggregate Economy

Giuseppe Berlingieri, Filippo Boeri, Danial Lashkari et al.
We study capital-skill complementarity in a multi-sector framework featuring firm-specific, multi-factor production functions and allowing for firm-specific factor-price wedges. We characterize the elasticity of the skill premium to the price of capital equipment in terms of firm-level elasticities of substitution…
NBER
Apr 2026

Further Evidence on the Global Decline in the Mental Health of the Young

David G. Blanchflower, Alex Bryson, Anthony Lepinteur et al.
Prior to around 2011, there was a pronounced curvilinear relationship between age and wellbeing: poor mental health was hump-shaped with respect to age, whilst subjective well-being was U-shaped. We examine data from a European panel for France, Germany, Italy, Spain and Sweden called, Come-Here, for 2020-2023, plus…