This study examines how trade shocks that start in one large economy ripple through other countries and how long those effects stick around. Using quarterly bilateral-trade data for 2012-2023, the ...
This paper investigates spillovers between electricity supply shocks and US growth, using monthly data from forty-eight US states from January 2001 to September 2016, and employs a novel strategy for ...
Bayesian Vars: A Survey of the Recent Literature with An Application to the European Monetary System
This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs). After describing the Bayesian principle of estimation, we first present the ...
This repository is part of a course project for STA2102 and is aimed at exploring Bayesian Autoregressive (BAR) models. The goal is to design and implement a Python package that provides a consistent ...
Abstract: Previously it has been proposed that explanations of nontraditional withdrawal might be defined by the underlying characteristics of the teaching and learning environment, especially on how ...
A Bayesian factor-augmented interacted vector autoregression framework purified of expectations is employed to analyze how government spending shocks have impacted CO2 emissions in the United States ...
Multivariate count time series arise in a wide range of applications, including the number of COVID-19 cases recorded each week in different counties of the Republic of Ireland. In this example, it is ...
This repository contains the code base for my Master's thesis "Deep Bayesian Inference for Vector-Borne Disease Models". The project investigates the use of amortized Bayesian inference to estimate ...
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