What is 'political communication'? The rationale and scope of the implied freedom of political communication

The aim of this article is to identify what counts as ‘political communication’ for the purposes of the implied constitutional freedom of political communication. This is done for two reasons. The first is to delimit the scope of the implied freedom. The second is to clarify whether racial vilification is ‘political communication’, which is the initial step that must be taken in order to assess the constitutionality or otherwise of current Australian racial vilification laws. It is, however, necessary and desirable to establish a sound theoretical basis for the implied freedom before these questions can be properly considered. To this end, it is argued that a minimalist model of judicially-protected popular sovereignty underpins the implied freedom and is the rationale that must guide its interpretation and application. The analysis undertaken demonstrates that a generous zone of ‘political communication’ must attract constitutional protection and that racial vilification will in certain circumstances amount to ‘political communication’.

Forecasting inflation, industrial output and exchange rates : a template study for India

This paper reports results from a forecasting study for inflation, industrial output and exchange rates for India. We cannot reject the null hypothesis for linearity for all series used except for the growth rate of the foreign exchange series and our analysis is based on linear models, ARIMA and bivariate transfer functions and restricted VAR. Forecasting performance is evaluated using the models’ root mean-squared error differences and Theil’s inequality coefficients from recursive origin static, fixed origin dynamic and rolling origin dynamic forecasts. For models based on weekly data, based on RMSEs, we find that the bivariate models improve upon the forecasts of the ARIMA model while for models based on monthly data the ARIMA model has almost always better performance. In choosing between the two bivariate models on the basis of RMSEs, our overall results tend to support the use of a restricted VAR, as this model had the best forecasting performance more frequently than the transfer function model.

Costs of inflation in Australia and New Zealand.

This paper evaluates the costs of inflation in Australia and New Zealand using a compensated measure calculated by calibrating a general equilibrium search model in the vein of Lagos and Wright (2005). We look at how inflation affects the intensive margin (the quantity traded in each match) by examining the impact of various pricing protocols. We also look at how inflation affects the extensive margin (the number of trades) by making the market composition between buyers and sellers endogenous. We obtain much larger costs of inflation than existing studies, but smaller costs than similar studies conducted on the US economy. Depending on the version of the model the costs of 10% inflation for a $50,000 worker ranges from $250 to $2200 per year in Australia, and from $200 to $1700 in New Zealand, that is between 0.5% and 4.4% of GDP and between 0.4% and 3.4% of GDP respectively. Finally it is calculated that Australia could gain up to 1.6% of GDP per annum--1.2% for New Zealand--by implementing the Friedman rule.

Forecasting industry-level CPI and PPI inflation : does exchange rate pass-through matter?

We show that incorporating the effects of exchange rate pass-through into a model can help in obtaining superior forecasts of domestic, industry-level inflation. Our analysis is based on a multivariate system of domestic inflation, import prices and exchange rates that incorporates restrictions from economic theory. These are restrictions on the transmission channels of the exchange rate pass-through to domestic prices, and are presented as testable hypotheses that lead to model reduction. We provide the results of various tests, including causality and prior restrictions, which support the underlying economic arguments and the model we use. The forecasting results for our model suggest that it has a superior performance overall, jointly producing more accurate forecasts of domestic inflation.

Modeling the relationship between budget deficits, money supply and inflation in Fiji

For Fiji, which has been suffering persistent deficits since independence, determining the relationships between inflation, budget deficits, money supply, output, and import prices is essential. We find that inflation, deficits and money supply are cointegrated when inflation is the endogenous variable, and the long-run elasticities confirm that money supply and deficits induce inflation. While there is a short-run, unidirectional causality running from money supply to inflation and a bi-directional causality between money supply and budget deficits, in the long run both money supply and deficits ?Granger-cause? inflation.

The forecast quality of CBOE implied volatility indexes

We examine the forecast quality of Chicago Board Options Exchange (CBOE) implied volatility indexes based on the Nasdaq 100 and Standard and Poor's 100 and 500 stock indexes. We find that the forecast quality of CBOE implied volatilities for the S&P 100 (VXO) and S&P 500 (VIX) has improved since 1995. Implied volatilities for the Nasdaq 100 (VXN) appear to provide even higher quality forecasts of future volatility. We further find that attenuation biases induced by the econometric problem of errors in variables appear to have largely disappeared from CBOE volatility index data since 1995.

Forecasting stock index volatility : comparing implied volatility and the intraday high-low price range

The intraday high–low price range offers volatility forecasts similarly efficient to high-quality implied volatility indexes published by the Chicago Board Options Exchange (CBOE) for four stock market indexes: S&P 500, S&P 100, NASDAQ 100, and Dow Jones Industrials. Examination of in-sample and out-of-sample volatility forecasts reveals that neither implied volatility nor intraday high–low range volatility consistently outperforms the other.

Estimating expected excess returns using historical and option-implied volatility

We test the relation between expected and realized excess returns for the S&P 500 index from January 1994 through December 2003 using the proportional reward-to-risk measure to estimate expected returns. When risk is measured by historical volatility, we find no relation between expected and realized excess returns. In contrast, when risk is measured by option-implied volatility, we find a positive and significant relation between expected and realized excess returns in the 1994–1998 subperiod. In the 1999–2003 subperiod, the option-implied volatility risk measure yields a positive, but statistically insignificant, risk-return relation. We attribute this performance difference to the fact that, in the 1994–1998 subperiod, return volatility was lower and the average return was much higher than in the 1999–2003 subperiod, thereby increasing the signal-to-noise ratio in the latter subperiod.

The effect of inflation and real wages on productivity: new evidence from a panel of G7 countries

This article examines the effect of inflation and real wages on productivity within a panel unit root and panel cointegration framework for the G7 countries over the period 1960 to 2004. The main contribution of the article is to provide panel long-run estimates of the effect of inflation and real wages on productivity in the G7 countries over this period. The article finds that for the panel as a whole a 1% increase in real wages generates a 0.6% increase in productivity, while the effects of inflation on productivity are statistically insignificant for most of the individual countries and for the panel as a whole.

Real interest rates, inflation and the open economy : a regime-switching perspective on Australia and New Zealand

We investigate the time-series properties of Australian and New Zealand real interest rates within a Markov-switching framework. This enables us to identify characteristics in real interest rate behavior hitherto unacknowledged. We find that rates switch between alternative stationary regimes characterized by differing means, speeds of mean-reversion and volatility. For New Zealand, high rates of inflation increase the probability of remaining in a regime characterized by a faster speed of adjustment. Further application of this methodology considers the real interest rate differential between Australia and New Zealand and points to differing regimes based on volatility rather than persistence.

Testing for a random walk in Italy's inflation in the post-war period, 1947-1996

This paper investigates the unit root properties of Italy’s inflation rate in the post-war period (1947-1996). To achieve the aim of this study, the Zivot and Andrews (1992) one break test and the Lumsdaine and Papell (1997) two breaks test for unit roots are applied. It is found that inflation for Italy was a non-stationary breakpoint for the period 1947-1996. This result has important implications for econometric modeling and in understanding the behavior of shocks to Italy’s inflation.

Is there a unit root in the inflation rate? New evidence from panel data models with multiple structural breaks

In this article, we examine whether or not the inflation rate for 17 OECD countries can be modelled as a stationary process. We find that (1) conventional univariate unit root tests without any structural breaks generally reveal that the inflation rate contains a unit root; (2) the KPSS univariate test with multiple structural breaks reveals that for 10 out of 17 countries inflation is stationary; and (3) the KPSS panel unit root test reveals strong evidence for stationarity of the inflation rate for panels consisting of countries which were declared nonstationary by univariate tests.

Inflation and economic growth : a comparative analysis of Australia and the Philippines

Investigates the effects of inflation on economic growth in Australia and the Philippines using time-series data for each country. Uses time-series quarterly data sets covering the period 1970-1995 for Australia and 1950-1994 for the Philippines. A production function approach is used. Inflation was found to have a negative and statistically significant but differing impact on growth in both countries.