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A concise introduction to the normalized quadratic expenditure or cost function is provided so that the interested reader will have the necessary information to understand and use this functional form. The normalized quadratic is an attractive functional form for use in empirical applications as correct curvature can be imposed in a parsimonious way without losing the desirable property of flexibility. We believe it is unique in this regard. Topics covered include the problem of cardinalizing utility, the modeling of nonhomothetic preferences, the use of spline functions to achieve greater flexibility, and the use of a “semiflexible” approach to make it feasible to estimate systems of equations with a large number of commodities.

The chapter reviews and extends the theory of exact and superlative index numbers. Exact index numbers are empirical index number formula that are equal to an underlying theoretical index, provided that the consumer has preferences that can be represented by certain functional forms. These exact indexes can be used to measure changes in a consumer's cost of living or welfare. Two cases are considered: the case of homothetic preferences and the case of nonhomothetic preferences. In the homothetic case, exact index numbers are obtained for square root quadratic preferences, quadratic mean of order r preferences, and normalized quadratic preferences. In the nonhomothetic case, exact indexes are obtained for various translog preferences.

The purpose of this paper is to assess the efficiency of rice millers and determine factors influencing cost efficiency in Southwest Nigeria using the cost route approach.

The paper analyses cost efficiency of rice millers using primary data collected from 62 respondents through a structured questionnaire. A multi-stage sampling procedure was employed for this purpose. The profile of rice millers and mills were derived using the descriptive analysis. Cost efficiency of the millers was obtained using the quadratic cost function analysis, and Tobit regression was used to determine factors that influence cost efficiency.

The results showed that cost efficiency indexes range from 1 to 57 percent averaging at 20.2 percent. Large rice mills were found to be most efficient with the mean cost efficiency of 25 percent. Paddy, transport and energy costs contributed positively and significantly (p=0.05 and p=0.01) to cost efficiency. Milling capacity and machine age increase cost efficiency while the distance to purchase paddy and quantity of diesel used reduces cost efficiency.

The paper shows that there is enough potential for rice millers to improve their cost efficiency based on the available technology. This has a direct implication on the economy through the increased domestic production and processing of rice to meet the increasing demand for locally produced rice.

The paper attempts to bridge the gap in the literature of cost efficiency among rice millers in Nigeria, and specifically in the application of the normalized quadratic cost function in estimating cost efficiency in the rice milling sector in Nigeria.

The purpose of this paper is to conduct a behavioral analysis, through overconfidence, in order to understand how this cognitive bias could affect risk taking and inefficiency in Islamic and conventional banks operating in the MENA region.

To achieve the objective, the authors considered two overconfidence proxies, namely loan growth rate and net interest margin. Using the generalized method of moments method regressions for panel data, the authors found that the two overconfidence proxies have an effect on the risk exposure and consequently on the efficiency level of Islamic and conventional banks.

In general, overconfidence bias causes excessive risk taking and the degradation of the cost efficiency level. Moreover, these effects emerge with a delay of three to four years and have implications that are not too different for both types of banks.

The main motivation underlying this research study is the relatively new field of behavioral finance way in treating the topic of overconfidence. The particularity of the overconfidence bias topic is its assumption that financial decisions can be influenced by cognitive biases, ignoring the fact of a predetermined risk-return calculation.

This paper aims to investigate the relationship between capital risk and efficiency of Islamic and conventional banks operating in Bangladesh. In this pursuit, the research attempts to answer these questions: do inefficient banks assume more risk? Is there any major difference between Islamic and conventional banks in terms of efficiency and risk taking behavior?

The study collects various bank-level data from the audited financial statements of Islamic and conventional banks for the period of 2001 to 2011. Collected data are analyzed using Stochastic Frontier Analysis for efficiency estimation and Seemingly Unrelated Regression (SUR) approach for assessing the relationship between capital, risk, and efficiency.

Analysis of data shows that conventional banks are more efficient in managing cost than Islamic banks. Moreover, the SUR results show that the relation between capital and efficiency are bidirectional and negative, whereas the relation between capital and risk is also bidirectional but positive for Islamic banks. On the other hand, risk and efficiency are positively related, and the result is bidirectional for conventional banks.

The research concentrates on private-commercial banks as proxy for conventional banks. State-owned banks including specialized banks and foreign commercial banks are excluded from the sample due to various anomalies in reporting of financial data.

There is a lot of room for Islamic banks to increase productive efficiency because cost efficiency of Islamic banks is less than that of the conventional banks. This can be attributed to the relative small size of Islamic banks in Bangladesh. Because there exists a positive relationship between size and efficiency for Islamic banks, they can concentrate on increasing their size to capitalize on economies of scale. Moreover, the analysis shows that inefficient conventional banks assume higher risk which conforms to moral hazard hypothesis. Therefore, regulatory authorities should discourage banks from exercising such practice for the greater stability of the overall banking system in Bangladesh.

A good number of studies is available in the existing literature that compares the performance of Islamic and conventional banks in the case of Bangladesh. However, very few studies are found that examine the relationship between capital, risk and efficiency. Therefore, the research is new for the selected area. As a result, the research is expected to contribute to the existing literature by providing new information.

This chapter reviews the specification and application of the Deaton and Muellbauer's (1980) almost ideal demand system (AIDS) and the Christensen et al. (1975) translog (TL) demand system. In so doing we examine various refinements to these models, including ways of incorporating demographic effects, methods by which curvature conditions can be imposed, and issues associated with incorporating structural change and seasonal effects. We also review methods for adjusting for autocorrelation in the models' residuals. A set of empirical examples for the AIDS and the log TL version of the translog based on historical meat price and consumption data for the United States are also presented.