Provides analysis for a practical action planto implement pro-poor policies through macroeconomic initiatives. The study covers sequencing and implementation issues and provides estimates of both macro and significant microeconomic impacts. The major components of the study are (a) a general...

The response by regional and national economies to exogenous impulses has a well-established literature in both spatial econometrics and in mainstream econometrics and is of considerable importance given the current economic crisis. This paper focuses on dynamic counterfactual predictions and...

We use factor augmented vector autoregressive models with time-varying coefficients to construct a financial conditions index. The time-variation in the parameters allows for the weights attached to each financial variable in the index to evolve over time. Furthermore, we develop methods for...

The present macroeconomic model aims to provide a theory-consistent representation of the general structure of the Viet Nam economy and, as such, it offers real and financial sector forecasting and policy simulation capabilities targeted to the needs of the State Bank of Viet Nam. The model...

We address the problem of selecting the common factors that are relevant for forecasting macroeconomic variables. In economic forecasting using diffusion indexes the factors are ordered, according to their importance, in terms of relative variability, and are the same for each variable to...

This paper proposes full-Bayes priors for time-varying parameter vector autoregressions (TVP-VARs) which are more robust and objective than existing choices proposed in the literature. We formulate the priors in a way that they allow for straightforward posterior computation, they require...

In the Schumpeterian creative disruption age, the authors firmly believe that an increasing application of electronic technologies in the finances opens a big number of new unlimited opportunities toward a new era of the ultra high frequency electronic trading in the foreign currencies exchange...

The transition process of the Romanian economy motivated the design of a model that provides for a parsimonious representation of the structure of the economy, exploits the increased availability of data for the system of national accounts, and recognizes time-variant parameters that can result...

The paper describes the results of estimation of a factor-augmented vector autoregressive model that relates the markup on mortgage loans in national currency, granted to households by monetary financial institutions, and 1-month inter-bank rate that represents the cost of funds for financial...

A review of the general state-space modeling framework. The discussion focuses heavily on the three prediction problems of forecasting, filtering, and smoothing within the state- space context. Numerous examples are provided detailing special cases of the state-space model and its use in solving...