This theoretical study rigorously investigates how generative artificial intelligence reshapes decision-making in social entrepreneurship by modeling the opportunity search process through the lens of optimal stopping theory. Social entrepreneurs often face high uncertainty and resource...

The Dwarf Mongoose Optimization (DMO) algorithm, inspired by the behaviors and foraging patterns of dwarf mongooses, is a recently formulated swarm-based metaheuristic method emulating the cooperative behavior of mongooses during food searches. The DMO algorithm effectively addresses various...

We present an experimental study of decentralized two‐sided matching markets with no transfers. Experimental participants are informed of everyone's preferences and can make arbitrary nonbinding match offers that get finalized when a period of market inactivity has elapsed. Several insights...

The effects on criminal behaviour of raising the minimum wage for those aged 25 and over in the United Kingdom are analysed, using data on police stop and search activities. A 1% increase in the minimum wage raises the fraction of people stopped by the police by 2.96%, the fraction of people...

We develop a model where heterogeneous agents choose whether to engage in onthe-job search (OJS) to improve labor income. The model accounts for untargeted microdata patterns: fiscal incentives affect job-to-job mobility and wage growth of stayers-but not leavers-across the income distribution,...

In the United States, workers whose past earnings were below a threshold are generally ineligible for unemployment insurance (UI), creating a discontinuous jump in the value of being unemployed. Using a regression discontinuity design with administrative panel data, we estimate a sizable local...