The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US

This article provides out-of-sample forecasts of linear and nonlinear models of US and four Census subregions’ housing prices. The forecasts include the traditional point forecasts, but also include interval and density forecasts, of the housing price distributions. The nonlinear smooth-transition autoregressive model outperforms the linear autoregressive model in point forecasts at longer horizons, but the linear autoregressive and nonlinear smooth-transition autoregressive models perform equally at short horizons. In addition, we generally do not find major differences in performance for the interval and density forecasts between the linear and nonlinear models. Finally, in a dynamic 25-step ex-ante and interval forecasting design, we, once again, do not find major differences between the linear and nonlinear models. In sum, we conclude that when forecasting regional housing prices in the United States, generally the additional costs associated with nonlinear forecasts outweigh the benefits for forecasts only a few months into the future.     

Was the recent downturn in US real GDP predictable?

This article uses a small set of variables – real GDP, the inflation rate and the short-term interest rate – and a rich set of models – atheoretical (time series) and theoretical (structural), linear and nonlinear, as well as classical and Bayesian models – to consider whether we could have predicted the recent downturn of the US real GDP. Comparing the performance of the models to the benchmark random-walk model by root mean-square errors, the two structural (theoretical) models, especially the nonlinear model, perform well on average across all forecast horizons in our ex post, out-of-sample forecasts, although at specific forecast horizons certain nonlinear atheoretical models perform the best. The nonlinear theoretical model also dominates in our ex ante, out-of-sample forecast of the Great Recession, suggesting that developing forward-looking, microfounded, nonlinear, dynamic stochastic general equilibrium models of the economy may prove crucial in forecasting turning points.     

Interactions between real economic and financial sides of the US economy in a regime-switching environment

This objective of this study is to examine the linkages between real (economic) and financial variables in the United States in a regime-switching environment that accounts explicitly for high volatility in the stock market and high stress in financial markets. Since the linearity test shows that the linear model should be rejected, we employ the Markov-switching VECM to examine the same objective using the Bayesian Markov-chain Monte Carlo method. The regime-dependent impulse response function (RDIRF) highlights the increasing importance of the financial sector of the economy during stress periods. The responses and their fluctuations are significantly greater in the high-volatility regime than in the low-volatility regime.     

An efficient privatization mechanism

We consider the privatization of State-Owned Enterprises (SOEs) of which markets can be opened to competition once privatization takes place and competitors can compete successfully against them in a few years. The currently used “Revenue Maximization (RM)” scheme maximizes the government revenue from privatization but does not provide incentives for the privatized SOE to charge a price lower than the monopoly price until competition arises. We propose the “Welfare Maximization (WM)” scheme, which induces the privatized SOE to charge a competitive price without resorting to regulation. Also, WM provides greater incentives for post-privatization cost reduction.     

THE REVOLUTION WITHIN: ICT AND THE SHIFTING KNOWLEDGE BASE OF THE WORLD'S LARGEST COMPANIES

This empirical article analyses the importance of information and communications technologies (ICT) in the technological diversification trend among the world's largest manufacturing firms during the 1980s and 1990s. The objective of the research is twofold: first, to emphasise the emerging differences among technologies when companies from different industries patent outside their traditional technological capabilities; secondly, to investigate whether the tendency among large companies from all industries to patent in ICT is distinctive when compared with the tendency to patent in other technologies. We find that technological diversification in large companies has clearly occurred in ICTs. Non-ICT specialist industries increasingly develop, rather than just utilise, the cluster of ICT-related technologies. We conclude that the development of corporate capabilities in the key technologies of the emerging ICT paradigm is more widespread than previously emphasised in the literature. One implication of this observation is that technological diversification and the information revolution may be related phenomena.     

The burden of glory: Competing for nonmonetary incentives in rank‐order tournaments

In an environment in which elite, highly paid professionals compete for nonmonetary rewards, we find evidence of underperformance. Our analysis suggests that choking under pressure from high‐stakes nonmonetary rewards is behind the underperformance. This implies that high stakes nonmonetary rewards can create meaningful pressure on individuals and lead to worse performance, a distinct issue that has yet to be adequately examined. These findings come from an examination of the behavior of top U.S. golfers competing to earn a place on the U.S. Ryder Cup team via their performance in PGA Tour tournaments with differing allocations of Ryder Cup qualifying points.     

The synergistic effect of insurance and banking sector activities on economic growth in Africa

It is widely understood that the insurance and banking sectors of every economy perform some functions in driving economic growth. What is not yet well documented is whether their roles are complimentary or substitutive. With the aid of the dynamic panel generalized method of moments (GMM) estimation technique, this paper evaluates the synergistic effect of both sectors on economic growth in a panel of 10 African countries that are responsible for most of the activities in the continent’s financial sector. The insurance-banking-growth nexus was also examined through bootstrap panel causality tests. The results show that the life insurance market and the banking sector, as well as the non-life insurance market and the banking sector, are complimentary. We find that, overall, the relationship between the insurance and banking sectors in Africa is a complimentary one and that their synergistic impact on economic growth is positive. The feedback hypothesis was also confirmed in the relationship between the insurance sector and economic growth and between the banking sector and economic growth.     

Central bank disclosure as a macroprudential tool for financial stability

The Basel Capital Accord (pillar 3) states that disclosure of information (transparency) is essential to financial stability. This study analyzes, through inflation reports, the disclosure of information from the Central Bank of Brazil concerning the credit market. We consider credit risk and capital buffers as measures of financial stability in this analysis. Furthermore, in order to measure the perception of the monetary authority on the credit market, we built two indices based on the central bank’s communication on credit development. We performed a panel data analysis based on a sample of 125 banks for the period from June 1999 to September 2014 (7000 observations). The findings suggest that central bank communication regarding expectations concerning the credit market contributes to financial stability. Therefore, this kind of communication of central banks (about credit development) may constitute an important macroprudential tool to improve financial stability.     

Strategy for lifelong learning in vocational schools of tourism education

Learning is the accumulated knowledge acquired from the experiences of individuals. Lifelong learning concept for adult learners is vital to reveal and sustain their knowledge creation experience. Lifelong Learning can be defined as the ability to develop an individual’s skills, knowledge and skills social, individual, and professional. This study addresses the concept of lifelong education. Lifelong education is provided through informal, formal and non-formal education processes. This research relies on documentary analysis. It was applied the key arguments for the research focus. The relationship between technology and lifelong learning is becoming more important. The importance of lifelong learning in tourism education is increasing. The vocational school can create lifelong opportunities for the tourism industry. These research explained that some perspectives of lifelong learning; such as dimensions, benefits and barriers. Additionally, the chapter proposes a perspective on the lifelong learning strategy in tourism education and discuss concept of lifelong learning, in regard to the literature. It is the most important factor that reflects the training and professional development of the staff and the competitive power of the tourism product directly and indirectly. Vocational schools should develop programs in line with the expectations of tourism enterprises.     

Import-content of exports and J-curve effect

This article investigates how the response to devaluation of trade balance is affected, compared to J-curve hypothesis, by the presence of imported inputs in the production of exports. Using first the Almon lag technique and then the cointegration and the generalized impulse response function analysis, the J-curve effect is examined in two sectors of Turkish economy (manufacturing and mining), which use imported inputs at different rates. Based on the data covering the period from the first quarter of 1986 to the third quarter of 1998, our results indicate that in neither sector J-curve exists and that the violation of the J-curve effect is more severe in the sector with higher import content