I study the identification of time preferences in dynamic discrete choice models. Time preferences play a crucial role in these models, as they affect inference and counterfactual analysis. Previous literature has shown that observed choice probabilities do not identify the exponential discount...

In this paper, we apply the idea of $k$-local contraction of \cite{zec, zet} to study discounted stochastic dynamic programming models with unbounded returns. Our main results concern the existence of a unique solution to the Bellman equation and are applied to the theory of stochastic optimal...

Agrochemicals are crucial for modern agriculture, but improper use can cause nonpoint source pollution (NPS), harming water quality and health. Despite recognizing agriculture as a major NPS contributor, policies lag in addressing it. Current literature identifies three main approaches to...

This paper presents a mathematical economic model to analyze the trade dynamics along the Ganges River, focusing on the interactions among political stability, technological advancement, guild productivity, and the supply-demand mechanism. The model employs principles from Classical Economics...

This paper develops an economic equilibrium model for pollution management and resource generation within a district, segmented into blocks. The model uses quadratic equations to derive equilibrium conditions at both block and district levels. The analysis incorporates principles from Keynesian,...

This study develops a hybrid model to integrate climate risks into Côte d'Ivoire’s economic policy, drawing on the work of economists like Keynes, Ostrom, Stiglitz, Sen, and Nordhaus. The model combines decentralized governance, climate risk externalities, and capacity building to address the...

This paper presents a fairly general treatment of recursive infinite horizon forward looking optimizing systems on infinite dimensional spatial domains. It includes optimal control, an analysis of local stability of spatially flat optimal steady states and development of techniques to compute...

This paper demonstrates that if we intend to optimally rank order n objects (candidates) each of which has m attributes or rank scores awarded by m evaluators, then the ordinal ranking of objects by the conventional principal component based factor scores turns out to be suboptimal. Three...

The paper aims to model the underground economy using two different models: one based on the labor supply method and a generalized model for the allocation of time. The model based on the labor supply method is conceived as a simulating one in order to determine some reasonable thresholds of the...

Models for a continuous risk outcome has a wide application in portfolio risk management and capital allocation. We introduce a family of interval distributions based on variable transformations. Densities for these distributions are provided. Models with a random effect, targeting a continuous...