The uncertainty of economic policy, a specific form uncertainty, can affect both growth, and the effectiveness macroeconomic regulation control policy. Existing studies have analyzed impacts policy on investment, consumption, trade, total factor survival, but there is no analysis policies output technological progress in deterministic environment. Output growth show performance gross efficiency...

This study examines the return and volatility network connectedness of BRICS equity markets between January 2019 March 2021 by utilizing time varying parameter-VAR (TVP-VAR) based frequency approach Barunik Ellington (2020). In this context, we estimate short-, medium-, long-term during an episode that covers recent COVID-19 pandemic. Furthermore, focus on structures return/volatility at a tran...

OBJECTIVES We evaluated the cost-effectiveness of universal mass vaccination (UMV) against influenza compared with a targeted vaccine program (TVP) for selected age and risk groups in the United States. METHODS We modeled costs and outcomes of seasonal influenza with UMV and TVP, taking a societal perspective. The US population was stratified to model age-specific (< 5, 5-17, 18-49, 50-64, an...

1. A study has been made of the zinc, copper, iron, manganese, protein (nitrogen X 6.25) and phytic acid contents of nineteen soya-bean-based textured-vegetable-protein (TVP) meat-extenders and meat-substitutes and of three "ready-prepared" canned meals containing TVP. 2. Phytate analysis was performed using a newly-developed method based on Holt's (1955) procedure. This method enabled the phyt...

We propose a generic approach to inference in the non-linear, non-Gaussian state space model. This approach builds on recent developments in precision-based algorithms to estimating general state space models with multivariate observations and states. The baseline algorithm approximates the conditional distribution of the states by a multivariate t density, which is then used for integrated lik...

We present a theory for reduced-order modelling of linear time-varying systems, together with efficient numerical methods for application to large systems. The technique, called TVP (Time-Varying Padk), is applicable to deterministic as well as noise analysis of many types of communication subsystems, such as mixers and switched-capacitor filters, for which existing model reduction techniques c...

Bu çalışmada, petrol fiyat şokları ile AB bölgesi finansal stres endeksi arasındaki dinamik aktarım mekanizması TVP-VAR modeli uygulanarak incelenmektedir. bağlamda, çalışmanın veri kümesi, 2000:09-2018:06 dönemi için aylık spot WTI ham-petrol fiyatları, küresel üretimi, Kilian Endeksi ve Euro endeksini (CISS) içermektedir. Çalışmanın ampirik sonuçları pozitif şoklarının koşullarını kötüleştird...

First order partial differential equations (PDE) are often the main tool to model problems in optimal control, differential games, image processing, physics, etc. Dependent upon the particular application, the boundary conditions are specified either at the initial time instant, leading to an initial value problem (IVP), or at the terminal time instant, leading to a terminal value problem (TVP)...

Abstract This article discusses the evolution of monetary policy (MP) in Peru 1996Q1–2019Q4 using a mixture innovation time-varying parameter vector autoregressive (VAR) model with stochastic volatility (TVP-VAR-SV) as proposed by Koop, Leon-Gonzales and Strachan. The main empirical results are: (i) VAR coefficients volatilities change more gradually than contemporaneous over time; (ii) MP shoc...