Fatality rate of pedestrians and fatal crash involvement rate of drivers in pedestrian crashes: a case study of Iran

The aim of this study was to uncover patterns of pedestrian crashes. In the first stage, 34,178 pedestrian-involved crashes occurred in Iran during a four-year period were grouped into homogeneous clusters using a clustering analysis. Next, some in-cluster and inter-cluster crash patterns were analysed. The clustering analysis yielded six pedestrian crash groups. Car/van/pickup crashes on rural roads as well as heavy vehicle crashes were found to be less frequent but more likely to be fatal compared to other crash clusters. In addition, after controlling for crash frequency in each cluster, it was found that the fatality rate of each pedestrian age group as well as the fatal crash involvement rate of each driver age group varies across the six clusters. Results of present study has some policy implications including, promoting pedestrian safety training sessions for heavy vehicle drivers, imposing limitations over elderly heavy vehicle drivers, reinforcing penalties toward under 19 drivers and motorcyclists. In addition, road safety campaigns in rural areas may be promoted to inform people about the higher fatality rate of pedestrians on rural roads. The crash patterns uncovered in this study might also be useful for prioritizing future pedestrian safety research areas.     

Dynamic local models for segmentation and prediction of financial time series

In the analysis and prediction of many real-world time series, the assumption of stationarity is not valid. Aspecial form of non-stationarity, where the underlying generator switches between (approximately) stationary regimes, seems particularly appropriate for financial markets. We introduce a new model which combines a dynamic switching (controlled by a hidden Markov model) and a non-linear dynamical system. We show how to train this hybrid model in a maximum likelihood approach and evaluate its performance on both synthetic and financial data.     

APPLICATION OF PANEL DATA MODELS IN BENCHMARKING ANALYSIS OF THE ELECTRICITY DISTRIBUTION SECTOR*

ABSTRACT ** : This paper explores the application of several panel data models in measuring productive efficiency of the electricity distribution sector. Stochastic Frontier Analysis has been used to estimate the cost‐efficiency of 59 distribution utilities operating over a nine‐year period in Switzerland. The estimated coefficients and inefficiency scores are compared across three different panel data models. The results indicate that individual efficiency estimates are sensitive to the econometric specification of unobserved firm‐specific heterogeneity. This paper shows that alternative panel models such as the ‘true’ random effects model proposed by Greene (2005) could be used to explore the possible impacts of unobserved firm‐specific factors on efficiency estimates. When these factors are specified as a separate stochastic term, the efficiency estimates are substantially higher suggesting that conventional models could confound efficiency differences with other unobserved variations among companies. On the other hand, refined specification of unobserved heterogeneity might lead to an underestimation of inefficiencies by mistaking potential persistent inefficiencies as external factors. Given that specification of inefficiency and heterogeneity relies on non‐testable assumptions, there is no conclusive evidence in favour of one or the other specification. However, this paper argues that alternative panel data models along with conventional estimators can be used to obtain approximate lower and upper bounds for companies' efficiency scores.     

The Reaction of Real Estate–Related Industries to the Monetary Policy Actions

We study the impact of changes in U.S. monetary policy on the equity returns of real estate–related industries. We find that, over the 1989–2005 sample period covered in our study, a hypothetical unexpected rate cut of 25 basis points (bps) is associated with an increase of about 170 bps in the value‐weighted returns of real estate–related industries. We find that monetary policy impacts the stock prices in real estate–related industries through its impact on the future expected stock returns and not on real interest rates or expected future dividends. There is also some evidence of asymmetry in the responses of the industry returns to the monetary policy actions. A strong stock price response to reversals in the direction of the Federal Reserve's monetary policy is reported.     

Female consumers as agents of change for transforming the environmental sustainability landscape

Faith in others (FIO; governments and businesses) can be seen as society's predisposition to handle environmental problems. The article examines whether women, who undertake a large majority of household purchases, can influence change in consumption practices so as to contribute to sustainability initiatives. Understanding women's character in this manner is informative, it helps us to consider how a women's role as a household purchasing agent is an important nexus to environmental sustainability. The study found that FIO has an influence on women's purchasing decisions. The study provides additional support to strengthen women's role in environmental matters. Not all women were found to be sustainability‐minded. In the challenges faced by women with respect to their influence, evidence from this research suggests that if women have more faith in governments and businesses it would make them more eco‐savvy to act as agents of change for transforming the environmental sustainability landscape.     

Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies

The persistence of increasingly high government subsidies in Switzerland’s railroads has led the federal and cantonal authorities to discussing the possibility of high-powered incentive contracts such as those based on cost efficiency benchmarking. Railways are however, characterized by a high degree of unobserved heterogeneity that could bias the efficiency estimates. This paper examines the performance of several panel data models to measure cost efficiency in network industries. The unobserved firm-specific effects and the resulting biases are studied through a comparative study of several stochastic frontier models, applied to a panel of 50 railway companies operating over a 13-year period.* The authors wish to thank Michael Crew and two anonymous referees for their helpful suggestions. Aurelio Fetz provided an excellent assistance, which is gratefully acknowledged. Any remaining errors are the responsibility of the authors.This revised version was published in June 2005 with corrections in the author affiliations.     

American depositary receipts: An analysis of international stock price movements

With significant increases in private capital flows across the globe, there has been a rise in the US listing of foreign stocks as American depositary receipts (ADRs). In this study, we employ cointegration techniques and estimate error-correction (EC) models to examine the degree of integration between US and three foreign equity markets. We find that ADRs are cointegrated with ordinary shares trading in the UK, Japan, and Germany, which implies that for long-term investors, they are a substitute for ordinary shares. Our analysis of the dynamic relationships between ADRs and foreign equities suggest that both markets contribute information pertinent to portfolio valuation. However, the foreign markets are found to be the more important source of information.     

Merton Model and Capital Measurement in Commercial Banks: A Case Study of Selected Emerging Countries in Southeast Asia

Following the implementation of Basel III criteria concerning the supervision of banks capital, this paper attempts to examine the competence of Merton-type probability of default as an indicator for measuring optimal capital in commercial banks of five Southeast Asian emerging economies. The estimated default risk changes are consistent with the changes in market value of banks’ asset in countries studied. Using a forward-looking approach, the banks required capital has been measured to reach a hypothetical level of probability of default as an accepted level by policy makers. Empirical results show that the banks had to increase their current capital in order to reduce the risk of bankruptcy in crisis times. The findings of this study refer evidently to the efficiency of Merton-type default risk to estimate the adequate capital and to use in micro and macro-prudential studies or stress tests on commercial banks.     

The Fisher hypothesis: a multi-country analysis

This paper tests whether the Fisher hypothesis holds for a sample of 26 countries by assessing the long run relationship between nominal interest rates and inflation rates taking into consideration the short run dynamics of interest rates. The empirical evidence supports the hypothesis that there is a one-to-one relationship between the interest rate and inflation for more than half of the countries under study.