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Leonardo Becchetti

Publications and source records attributed to Leonardo Becchetti.

3 recordsLinked to original sources

Hierarchical Incentives and the Evolution of Local Cooperation in Wartime: A Continuous Strategy Approach

Historical episodes such as the World War I "live-and-let-live" system and the Christmas Truce of 1914 demonstrate that opposing military units can establish spontaneous, local cooperation even in extreme conflict environments. Such cooperative behavior is typically fragile and temporary, while large-scale wars persist. We develop a hierarchical decision problem in which local units adopt contingent strategies that depend on interactions, accumulated payoffs, and signals from a central command. The command authority can impose enforcement that penalizes non-aggression to prolong hostilities. Our model features a continuous space of parametric strategies and formalizes replicator dynamics over the population. We analytically characterize the conditions under which local cooperation emerges as a stable evolutionary equilibrium and identify critical thresholds of central enforcement that destroy cooperative equilibria. We show that stable peace requires either alignment of command incentives with frontline welfare, external constraints on enforcement, or diminishing political returns to conflict. The framework provides a micro-founded explanation for the persistence of war despite locally beneficial cooperation.

econ.TH

Testing health expenditure rationing under universal healthcare coverage: the case of Italy

We investigate the phenomenon of (private, out-of-pocket) "health expenditure rationing", or whether out-of-pocket health expenditures are shaped by income independently of actual health needs. Using microdata from an Italian Health Interview Survey, we assess the extent to which income explains variation in private health spending, after controlling for objective health conditions, self-assessed health, and a comprehensive set of socio-demographic factors. We find that individuals in the highest income brackets spend approximately 300 euros more annually than those in the lowest. Our findings point to a structural inequity in access and highlight the need for policy measures that address not only formal coverage but also the underlying role of income in shaping healthcare use.

econ.GN

Unveiling Biases in AI: ChatGPT's Political Economy Perspectives and Human Comparisons

We explore the political and ideological positioning of ChatGPT, a leading large language model (LLM), by comparing its responses to political economy questions from the European Social Survey (ESS). The questions concern environmental sustainability, civil rights, income inequality, and government size. ChatGPT's self-assessed placement on a left-right political spectrum is compared to the ideological stances of individuals providing similar answers in the ESS dataset. Results highlight a significant left-oriented bias in ChatGPT's answers, particularly on environmental and civil rights topics, diverging from its same self-declared center-left stance. These findings underscore the need for transparency in AI systems to prevent potential ideological influences on users. We conclude by discussing the implications for AI governance, debiasing strategies, and educational use.

econ.GN