Showing 1 - 8 of 8
The evolution of the yields of different maturities is related and can be described by a reduced number of commom latent factors. Multifactor interest rate models of the finance literature, common factor models of the time series literature and others use this property. Each model has advantages...
Persistent link: https://www.econbiz.de/10012053243
Space-varying regression models are generalizations of standard linear models where the regression coefficients are allowed to change in space. The spatial structure is specified by a multivariate extension of pairwise difference priors thus enabling incorporation of neighboring structures and...
Persistent link: https://www.econbiz.de/10012007896
The monetary authorities need a future measure of inflation trend to keep on tracking the inflation on target. Many alternatives of the core inflation measure have appeared in the recent literature pretending to avoid the deficiencies of the usual headline inflation index as a predictor. This...
Persistent link: https://www.econbiz.de/10012018615
This paper describes the inference procedures required to perform Bayesian inference to some multivariate econometric models. These models have a spatial component built into commonly used multivariate models. In particular, the seemingly unrelated regression and vector autoregressive models are...
Persistent link: https://www.econbiz.de/10012019328
We use no arbitrage models with macro variables to study the interaction between the macroeconomy and the yield curve. This interaction is a key element for monetary policy and for forecasting. The model was used to analyze the Brazilian domestic financial market using a daily dataset and two...
Persistent link: https://www.econbiz.de/10012039147
In this paper, we analyze the productivity of farms across n = 370 municipalities located in the Center-West region of Brazil. We propose a stochastic frontier model with a latent spatial structure to account for possible unknown geographical variation of the outputs. This spatial component is...
Persistent link: https://www.econbiz.de/10012039205
Bayesian dynamic linear models (DLM) are useful in time series modelling because of the flexibility that they present in obtaining a good forecast. They are based on a decomposition of the relevant factors which explain the behavior of the series through a series of state parameters....
Persistent link: https://www.econbiz.de/10011997892
We build a two-country version of the model in Gali & Monacelli (2005), which extends for a small open economy the new Keynesain DSGE model used as tool for monetary policy analysis in closed economies. A distinctive feature of the model is that the terms of trade enters directly into the new...
Persistent link: https://www.econbiz.de/10012038711