C11

Bayesian Analysis: General

Is There a SADC Business Cycle? Evidence from a Dynamic Factor Model

Countries that adopt a common currency automatically relinquish their monetary policy autonomy. Hence, it is imperative for countries wanting to join a currency union to ensure that their business cycles are synchronized in order to ensure symmetric propagation of the effect of monetary policy. Put differently, countries with asynchronous business cycles require country-specific policies to stabilize their economies. Thus, in this study we assess the readiness of the SADC region to adopt a single currency in 2018 as proposed.

The impact of monetary policy on household consumption in South Africa. Evidence from Vector Autoregressive Techniques

This paper investigates the “cost of credit effect” of monetary policy on household consumption of final goods and services in South Africa, testing the hypotheses of the Keynesian interest rate channel of monetary policy transmission. We focus on three periods; post transition from apartheid, during inflation targeting and during the global financial crisis. Quarterly data from 1994Q1 to 2012Q4, constant parameter vector autoregressive techniques (VAR) by Sims (1980) and time varying parameter VAR by Primicieri (1995) are used in this study.

Bayesian learning with multiple priors and non-vanishing ambiguity

The existing models of Bayesian learning with multiple priors by Marinacci (2002) and by Epstein and Schneider (2007) formalize the intuitive notion that ambiguity should vanish through statistical learning in an one-urn environment. Moreover, the multiple priors decision maker of these models will eventually learn the ‘'truth’'. To accommodate non vanishing violations of Savage’s (1954) sure-thing principle, as reported in Nicholls et al.

Important Channels of Transmission Monetary Policy Shock in South Africa

This paper investigates the di¤erent channels of transmission of monetary policy shock in South Africa in a data-rich environment. The analysis contains 165 quarterly variables observed from 1990Q1 to 2012Q2. We use a Large Bayesian Vector Autoregressive model, which can easily accommodate a large cross-section of variables without running out of degree of freedom. The benefit of this frame-

Monetary Policy Response to Foreign Aid in an Estimated DSGE Model of Malawi

This paper estimates a Bayesian Dynamic Stochastic General Equilibrium (DSGE) model of Malawi and uses it to account for short-run monetary policy response to aid inflows between 1980 and 2010. In particular, the paper evaluates the existence of a “Dutch Disease” following an increase in foreign aid and examines the Reserve Bank of Malawi (RBM) reaction to aid inflows under different monetary policy rules. The paper finds strong evidence of “Taylor rule” like response of monetary policy to aid inflows.

Do Bayesians learn their way out of ambiguity?

In standard models of Bayesian learning agents reduce their uncertainty about an event’s true probability because their consistent estimator concentrates almost surely around this probability’s true value as the number of observations becomes large. This paper takes the empirically observed violations of Savage’s (1954) sure thing principle seriously and asks whether Bayesian learners with ambiguity attitudes will reduce their ambiguity when sample information becomes large.

Could we have predicted the recent downturn in the South African Housing Market?

This paper develops large-scale Bayesian Vector Autoregressive (BVAR) models, based on 268 quarterly series, for forecasting annualized real house price growth rates for large-, medium and small-middle-segment housing for the South African economy. Given the in-sample period of 1980:01 to 2000:04, the large-scale BVARs, estimated under alternative hyperparameter values specifying the priors, are used to forecast real house price growth rates over a 24-quarter out-ofsample horizon of 2001:01 to 2006:04.

A Large Factor Model for Forecasting Macroeconomic Variables in South Africa

This paper uses large Factor Models (FMs) which accommodates a large cross-section of macroeconomic time series for forecasting per capita growth rate, inflation, and the nominal short-term interest rate for the South African economy. The FMs used in this study contains 267 quarterly series observed over the period of 1980Q1-2006Q4.

Is a DFM well suited for forecasting regional house price inflation?

This paper uses the Dynamic Factor Model (DFM) framework, which accommodates a large cross-section of macroeconomic time series for forecasting regional house price inflation. As a case study, we use data on house price inflation for five metropolitan areas of South Africa. The DFM used in this study contains 282 quarterly series observed over the period 1980Q1-2006Q4.

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