This chapter reviews Bayesian methods for inference and forecasting with VAR models.
Bayesian inference and, by extension, forecasting depends on numerical methods for …

In this paper, we develop algorithms to independently draw from a family of conjugate
posterior distributions over the structural parameterization when sign and zero restrictions …

In this course we perform an introduction to Bayesian methods, we show some basic
definitions and properties of the bayesian approach. We have taken the content from the …

Recently proposed tests for unit root and other nonstationarity of Robinson (1994a) are
applied to an extended version of the data set used by Nelson and Plosser (1982) …

Structural Macroeconometrics provides a thorough overview and in-depth exploration of
methodologies, models, and techniques used to analyze forces shaping national …

Are optimism shocks an important source of business cycle fluctuations? Are deficit-financed
tax cuts better than deficit-financed spending to increase output? These questions have …

Since the mid 1980s, an extensive emprical literature has examined the relationship
between US Fiscal deficits, exchange rates, and trade balances. We investigate two …

This paper summarizes recent Bayesian research on unit roots for the applied
macroeconomist in the way Campbell and Perron [8] summarized the classical unit roots …

Many studies investigating the relation between inflation and exchange rates have found
that exchange rates influenced inflation, while other studies have failed to do so or reported …

A vector autoregressive (VAR) model is specified with equation system parameters, which
directly reflect the possible cointegrating nature of the analyzed time series. By using a …