Are house prices in South Africa really nonstationary? Evidence from SPSM-based panel KSS test with a Fourier function

This study applies the sequential panel selection method (SPSM) to investigate the time-series properties of provincial house prices for entire, large, medium and small middle-segments of South Africa. Quarterly time-series data were collected from nine provinces in South Africa for different house-size categories over the period of 1978.Q1 to 2012.Q4. Whereas other panel-based unit-root tests are joint tests of a unit root for all members of a panel and are incapable of determining the mix of integrated of order zero (I(0)) series and integrated of order one (I(1)) series in a panel setting, the SPSM proposed by Chortareas and Kapetanios (2009) can clearly identify how many and which series in the panel are stationary processes by classifying a whole panel into a group of stationary and nonstationary series. The empirical results from several panel-based, as well as standard pure time-series, unit-root tests, indicate that house prices for the nine provinces studied here are either stationary or nonstationary. However, results from the SPSM using the panel version of the Kapetanios et al. (KSS, 2003) test with a Fourier function unequivocally indicate that house prices are stationary for the nine provinces under study. Our test results have important economic and policy implications for South Africa.     

Is there a role for uncertainty in forecasting output growth in OECD countries? Evidence from a time-varying parameter-panel vector autoregressive model

This paper uses a time-varying parameter-panel vector autoregressive (TVP-PVAR) model to analyze the role played by domestic and US news-based measures of uncertainty in forecasting the growth of industrial production of 12 Organisation for Economic Co-operation and Development (OECD) countries. Based on a monthly out-of-sample period of 2009:06 to 2017:05, given an in-sample of 2003:03 to 2009:05, there are only 46% of cases where domestic uncertainty can improve the forecast of output growth relative to a baseline monetary TVP-PVAR model, which includes inflation, interest rate and nominal exchange rate growth, besides output growth. Moreover, including US uncertainty does not necessarily improve the forecasting performance of output growth from the TVP-PVAR model which includes only the domestic uncertainty along with the baseline variables. So, in general, while uncertainty is important in predicting the future path of output growth in the 12 advanced economies considered, a forecaster can do better in majority of the instances by just considering the information from standard macroeconomic variables.     

South Africa’s monetary policy independence: evidence from a Global New-Keynesian DSGE model

We study the response of South African monetary policy decisions to foreign monetary policy shocks. We estimate the extent of foreign monetary policy pass through by augmenting standard Taylor rules and comparing the results within the context of a Global New-Keynesian Dynamic Stochastic General Equilibrium (DSGE) model. The general equilibrium model captures important spill-over effects that would otherwise have been ignored in a single equation set-up. The results show that the relationship between foreign monetary policy shocks and South African interest rates is complicated – South Africa does not import foreign monetary policy directly, but is still affected. Except for the US, an increase in foreign interest rates leads to a decrease in South African interest rates – highlighting the complex channels that the monetary policy authority has to monitor outside of its economy.     

Does the relationship between income and child health differ across income groups? Evidence from India

This study explores the relationship between child health and socioeconomic status (health-income gradient) using the Indian Human Development Survey-II (2011-12) for children up to 5 years of age. Unlike previous studies our empirical analysis allows the gradient to vary across different income intervals using linear and cubic spline regressions. We use objective measure of child health - height-for-age Z-scores and find that an increase in income, on an average leads to reduction in prevalence of stunting. We also find differential effect of income on health across the income distribution with no effect of income on child health for very poor households. Further we explore underlying factors explaining the gradient and find that maternal health, housing quality, sanitation, non-infectious environment, media exposure to women and a safe neighbourhood are transmission channels that affect child health and together they explain almost 40% of the overall income effect. One of the major implication of our findings is that any policy to increase income of poor households should be complemented with a health policy designed specifically towards children as poor households are less likely to allocate additional income to child health.     

The time-varying and asymmetric dependence between crude oil spot and futures markets: Evidence from the Mixture copula-based ARJI–GARCH model

This paper designs a Mixture copula-based ARJI–GARCH model to simultaneously investigate the dynamic process of crude oil spot and futures returns and the time-varying and asymmetric dependence between spot and futures returns. The individual behavior of each market is modeled by the ARJI–GARCH process. The time-varying and asymmetric dependence is captured by the Mixture copula which is composed of the Gumbel copula and Clayton copula. Empirical results show three important findings. First, jumping behavior is an important process for each market. Second, spot and futures returns do not have the same jump process. Third, the tail dependence between spot and futures markets is time-varying and asymmetric with the magnitude of upper tail dependence being slightly weaker than that of lower tail dependence.     

Do the ECB's introductory statements help predict monetary policy? Evidence from a tone analysis

In this paper, we examine whether a tone shock derived from European Central Bank communication helps predict ECB monetary policy decisions. To this purpose, we first use a bag-of-words approach and several dictionaries on the ECB's Introductory Statements to derive a measure of tone. Next, we orthogonalise the tone measure on the latest data available to market participants to compute the tone shock. Finally, we relate the tone shock to future ECB monetary policy decisions. We find that the tone shock is significantly and positively related to future ECB monetary policy decisions, even when controlling for market expectations of monetary policy and the Governing Council's inter-meeting communication. Further extensions show that the predictive ability of the tone shock is robust to (i) the normalization of the tone measure, (ii) alternative market expectations of monetary policy, and (iii) the horizon of macroeconomic variables used in the Taylor-type monetary policy rule. These findings highlight an additional channel through which ECB communication improves monetary policy predictability, suggesting that the ECB may have private information that it communicates through its Introductory Statements.     

Do changes in the fundamentals have symmetric or asymmetric effects on house prices? Evidence from 52 states of the United States of America

Time-series studies that have tried to establish the long-run relationship between house prices and economic fundamentals have been criticized due to low power of their cointegration tests. On the other hand, those who have used panel data and panel tests to increase the power have found mixed results. Both groups have assumed that changes in the fundamentals have symmetric effects on house prices. In this article, we use nonlinear ARDL approach to cointegration and error-correction modelling and quarterly data from each of the states in the US to show that changes in the fundamentals have asymmetric effects on house prices, in the short run as well as in the long run. Cointegration between house prices and fundamentals is established in 30 states and in District of Columbia.     

Does the monetary policy committee still care about inflation? Some evidence from a small macroeconomic model

This article derives an optimal Taylor rule for the UK economy using a simple estimated model based on data prior to the financial crisis of 2008. Optimal policy rules are calculated using simulation of the model over a long time period coupled with a search for optimal Taylor rule parameters using the Newton-Raphson loss minimization algorithm. The weights in the pre-crisis loss function are then inferred from the Taylor rule parameters estimated from the period corresponding to Bank of England independence, i.e. 1997–2008. These estimates are consistent with a low weight on inflation relative to output stabilization even before the crisis. The model is therefore consistent with the hypothesis that there has been no change in Bank of England preferences and that the Bank has responded to the crisis in a way which would have been predicted on the basis of its pre-crisis behaviour.     

The 2007 financial crisis and the UK residential housing market: Did the relationship between interest rates and house prices change?

This paper investigates the impact of the 2007 financial crisis on the relationship between real mortgage interest rates and real house prices. It applies a dynamic conditional correlation based methodology that uses fractionally differenced data along with controls for structural breaks and non-interest-rate related factors that influence house prices. The key finding made is that the financial crisis had a long-term structural impact on the monetary transmission relationship. For example, we find that the mean conditional correlation between house prices in England and Wales and the three-year fixed mortgage rate rose by 6.6 percentage points. Similarly, the mean correlation between prices and the standard variable mortgage rate increased 6.4 percentage points to 54%. These findings suggest to us that interest-rate-based monetary policy still has an important role to play in the housing market.     

Non-linearity in the inflation–growth relationship in developing economies: Evidence from a semiparametric panel model

Using data on developing economies, we estimate a flexible semiparametric panel data model that incorporates potentially nonlinear effects of inflation on economic growth. We find that inflation is associated with significantly lower growth only after it reaches about 12 percent, which is notably lower than the comparable estimate obtained from a threshold model. Our results also suggest that models with restrictive functional form assumptions tend to underestimate marginal effects of inflation on economic growth. We also document significant variation in the effect of inflation on growth across countries and over time.     

Is there a trade-off between income inequality and corruption? Evidence from Latin America

In contrast to other research, lower corruption is associated with higher income inequality. This result is consistent with the idea that the corruption–inequality relationship may be different where there is a large informal sector, as in Latin America.     

Is there a quality bias in the Canadian CPI? Evidence from microdata

Rising consumer prices may reflect shifts by consumers to new higher‐priced products, mostly for durable and semi‐durable goods. I apply Bils’ (2009) methodology to newly available Canadian consumer price data for non‐shelter goods and services to estimate how price increases can be divided between quality growth and price inflation. I find that less than one third of observed price increases during model changeovers should be attributed to quality growth. This implies overall price inflation close to inflation measured by the official index. I conclude that, according to Bils’ methodology, the quality bias is not an important source of potential mismeasurement of CPI inflation in Canada.     

Do we need a global VAR model to forecast inflation and output in South Africa?

This study determines whether the global vector autoregressive (GVAR) approach provides better forecasts of key South African variables than a vector error correction model (VECM) and a Bayesian vector autoregressive (BVAR) model augmented with foreign variables. The article considers both a small GVAR model and a large GVAR model in determining the most appropriate model for forecasting South African variables. We compare the recursive out-of-sample forecasts for South African GDP and inflation from six types of models: a general 33 country (large) GVAR, a customized small GVAR for South Africa, a VECM for South Africa with weakly exogenous foreign variables, a BVAR model, autoregressive (AR) models and random walk models. The results show that the forecast performance of the large GVAR is generally superior to the performance of the customized small GVAR for South Africa. The forecasts of both the GVAR models tend to be better than the forecasts of the augmented VECM, especially at longer forecast horizons. Importantly, however, on average, the BVAR model performs the best when it comes to forecasting output, while the AR(1) model outperforms all the other models in predicting inflation. We also conduct ex ante forecasts from the BVAR and AR(1) models over 2010:Q1–2013:Q4 to highlight their ability to track turning points in output and inflation, respectively.     

Is cooperation instinctive? Evidence from the response times in a public goods game

We use data on response times from a public goods experiment to test the hypothesis that cooperation is instinctive, under the assumption that the longer the time of the decision, the less instinctive the choice. Results seem to support the hypothesis that cooperation is instinctive, while defection is ‘rational’. Moreover, as the experiment is designed also to assess the effects of the consumption of relational goods on cooperation, we are also able to state that some types of relational goods, like team working, produce additional cooperation, but make it less spontaneous. We also detect that females seem to behave less instinctively than males.     

What drives the perception of health and safety risks in the workplace? Evidence from European labour markets

Worker perceptions of job-related health risk are a little-studied dimension of heterogeneity in the labour market. According to information from the European Working Conditions Survey (EWCS), one out of three European workers considers that her health and safety is at risk because of work. Not surprisingly, risk perceptions are influenced by objective risk factors such as hazardous working conditions, onerous job characteristics and by the probability to be affected by occupational accidents and illnesses. This paper explores also the role played by personal characteristics and household structure for the explanation of risk perceptions. After controlling for job characteristics, workplace hazards, job satisfaction and health outcomes, I find that risk perceptions are strongly correlated with gender, age, and household structure. Lone parents as well as older and more experienced workers have a higher propensity than other categories to consider their health at risk because of work. The same seems to hold true for better educated workers, especially for those who have completed tertiary education. Further results suggest that the relationship between household structure and risk perception is stable across gender.     

Do Malaysian house prices follow a random walk? Evidence from univariate and panel LM unit root tests with one and two structural breaks

In this article we apply univariate and panel Lagrange Multiplier (LM) unit root tests with one and twostructural breaks proposed by Lee and Strazicich (2003, 2004) and Im et al. (2005) to examine housing prices for five different housing price indices (all housing, detached housing, semi-detached housing, terrace housing and high-rise housing) in 14 states of Malaysia to test whether housing prices exhibit a random walk. Our main finding from the univariate LM unit root tests is that for the vast majority of states housing prices follow a stationary process about a segmented trend. The results of the panel LM unit root tests provide overwhelming evidence that house prices are segmented trend reverting.     

Is there an ‘interest rate – speculation’ relationship? Evidence from G7 in the pre- and post-2008 crisis

The article revisits the IS-LM macroeconomic model by incorporating speculation into the investment function. The discussion is supported empirically by using data from the G7 countries to examine the different interest rate regimes in the pre- and post-2008 financial crisis. The estimation of an ‘anchor’ interest rate provides a reference rate for the G7 countries. The empirical study is extended to examine if the three quantitative easing (QE) episodes in the U.S. are growth promoting. The article concludes that the maintenance of a high and stable interest rate policy is needed for sustainable growth in the G7 countries.     

Is the natural resource production a blessing or curse for China's urbanization? Evidence from a space–time panel data model

This paper provides an analytical framework to evaluate under what conditions the natural resource production could promote or hinder urbanization process, focusing on factors mostly relevant for China. Considering both structure breaks and cross-sectional dependence as well as spatial spillovers, the study deploys a comprehensive approach to rigorously prove the validity of the proposed space–time panel data model that includes the second generation panel unit root test and panel cointegration, panel threshold regression and spatial panel Durbin model. The results not only offer strong evidences that the natural resource production non-linearly impacts on urbanization process, but also show that there exists a dynamic response over time and space as well as space–time diffusion impact, in which these percentages are different from each other confirming an asymmetric effect of the natural resource production on urbanization process.