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A Demand-Side Driven Explanation of Niche Lobbying: A Theory and Some Application to Climate-Biodiversity Policy
No full textThis paper develops a model of niche lobbying in which interest groups endogenously specialize in the acquisition of distinct types of policy-relevant information. Contrary to the view that niche strategies are chosen to soften competition and secure autonomy, we show that specialization arises as a self-enforcing equilibrium even though groups would prefer to compete over the same informational dimensions. The mechanism is demand-driven: when information acquisition is private and nonverifiable, the decision-maker’s inference from silence intensifies informational pressure on specialized groups, increasing the burden of information acquisition. We discuss the implications of these results for interest groups influence in climate and biodiversity policy
Public Communication in Regime Change games
No full textWe study a regime change game in which the state and an opposition leader both observe the regime’s true strength and may engage in costly communication by manipulating the mean of citizens’ private signals. Each citizen then decides whether to attack the regime. From the perspective of both the state and the opposition, the size of the attack is uncertain, as the number of committed partisans—those who always attack regardless of their signal—is not observed in advance. We show that a regime on the brink of collapse optimally refrains from propaganda, while the opposition engages in counter-propaganda. The equilibrium level of counter-propaganda increases with the opposition’s benefit-cost ratio and with the precision of citizens’ private signals, and decreases with the cost of attacking
Compétence du juge judiciaire pour les dommages inhérents aux travaux réalisés par la personne publique sur un immeuble lui appartenant et soumis au régime de la copropriété – note sous TC, 7 oct. 2024, n° C4319, Synd. des copropriétaires de la résidence Saint Georges Astorg c/ Assistance diagnostic Services et autres.
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ICS for complex data with application to outlier detection for density data
No full textInvariant coordinate selection (ICS) is a dimension reduction method, used as a preliminary step for clustering and outlier detection. It has been primarily applied to multivariate data. This work introduces a coordinate-free definition of ICS in an abstract Euclidean space and extends the method to complex data. Functional and distributional data are preprocessed into a finite-dimensional subspace. For example, in the framework of Bayes Hilbert spaces, distributional data are smoothed into compositional spline functions through the Maximum Penalised Likelihood method. We describe an outlier detection procedure for complex data and study the impact of some preprocessing parameters on the results. We compare our approach with other outlier detection methods through simulations, producing promising results in scenarios with a low proportion of outliers. ICS allows detecting abnormal climate events in a sample of daily maximum temperature distributions recorded across the provinces of Northern Vietnam between 1987 and 2016