Sample size needed for calibrating trip distribution and behavior of the gravity model

Conventional calibration algorithms of trip distribution models assume that the analyst has a whole base year trip matrix. To attain a whole trip matrix, the sample size for travel surveys needed to be as large as possible. However, this could be very expensive especially in large cities. Some studies in the past showed a small sized sample would be enough to estimate functional parameters of observed trip length frequency distribution. But the performance of a gravity model with small sized samples has never been addressed. This empirical study has shown that sample sizes as small as 1000 (even smaller for quick response studies) could be as dependable as large sample surveys using a line search calibration algorithm.     

Volatility Spillover Effects in Interregional Equity Markets: Empirical Evidence from Brazil and Turkey

We investigate volatility spillovers between two stock markets: Turkey and Brazil. Using a misspecification-robust causality-in-variance test, we find evidence supporting volatility spillovers from the São Paulo Stock Exchange to the Istanbul Stock Exchange. Moreover, the results imply that financial crises may change the nature of volatility spillovers between the two markets by adding an additional channel of volatility transmission from Turkey to Brazil.     

What Determines Public Support for Affirmative Action?

We present a public higher-education finance model in which demand for education can exceed supply because of indivisibilities in educational investment. In such situations, a screening mechanism—which may exhibit a selection system bias—is required for allocation. We show how changes in the education premium and the test score gap between the minority and the majority might affect political support for affirmative action. When the education premium is relatively low, the matching efficiency gains provided by affirmative action are high compared with the opportunity cost of not acquiring education, and the majority supports affirmative action. When the education premium is high, the opportunity cost of not getting educated is high relative to the matching efficiency gains provided by affirmative action policies, and the majority's support for affirmative action is weaker. In contrast, a higher test score bias has a generally ambigious effect on the majority's political support. If the test score bias is sufficiently large, however, the majority does support affirmative action.     

Using OWA aggregation technique in QFD: a case study in education in a textile engineering department

Quality Function Deployment (QFD) is a systematic approach that considers customer needs through design, production, marketing, and support stages. Customer needs are the main input for QFD, so voice of customer must be understood well and changes, innovations, and treatments must be held in this view. In QFD applications, determining the priorities of customer needs is a fairly important stage. This is mostly held by Analytic Hierarchy Process (AHP) a multicriteria decision making technique. Nonetheless, Ordered Weighted Averaging (OWA) is an aggregation technique mostly used in decision making for multicriteria decision problems. So, combining these two techniques will give a different viewpoint for prioritizing the customer needs in QFD applications. The aim of this study is to show the use of Ordered Weighted Averaging (OWA) aggregation technique in QFD applications. For this purpose a case study in Dokuz Eylül University Textile Engineering Department was held. It was aimed to support the efforts on increasing the education quality by determining the students’ needs and opinions using QFD with OWA.     

Strategic consensus mapping: A new method for testing and visualizing strategic consensus within and between teams

Research on strategic consensus focuses primarily on the extent of agreement among team members regarding organizational strategy. It does not include elements such as the content of the agreement, between‐group consensus, or the significance of differences in consensus (e.g., for evaluating the effectiveness of strategic interventions). We propose a new analytical approach, Strategic Consensus Mapping, that provides a comprehensive analysis of strategic consensus within and between groups and that includes intuitive and easy‐to‐understand visualizations. This approach offers researchers the necessary tools for integrative theory building in strategic consensus, as well as in the broader managerial and organizational cognition domain. Using a case example, we illustrate the proposed methods for a multidimensional, multilevel, and longitudinal analysis of strategic consensus. Copyright © 2013 John Wiley & Sons, Ltd.     

Counting the uncounted: The consequences of children's domestic chores for health and education in Ethiopia

Much of the existing literature on the economics of child labor assumes that child labor is synonymous with employment in income‐generating activities. However, children also perform domestic chores, and excessive involvement in chores may be detrimental to their wellbeing. This paper investigates the effect on child health and education outcomes of participation in domestic chores as well as participation in income‐generating activities. Our data come from the 2014 Young Lives survey of Ethiopia. We use the guidelines of the 18th International Conference of Labor Statisticians and the United Nations Children's Fund to make a distinction between light work and harmful work, and apply this distinction to both domestic chores and income‐generating work. Using an instrumental variables approach, we find that involvement in harmful domestic chores is strongly associated with poor health and education outcomes. Our findings suggest that excessive involvement in domestic chores constitutes a form of child labor. Ignoring domestic chores will lead to an underestimate of the prevalence of child labor, especially among girls, whose exposure to chores is much higher, on average, than that of boys.     

Financial market participation and the developing country business cycle

I explore the implications of limited participation in financial markets on a standard small open economy business cycle model. Despite its parsimony, the limited participation model developed in this paper improves over the standard model in terms of explaining two important features of business cycle facts of developing countries: high volatility of consumption, and high negative correlation between the trade balance and output. Limited participation model is then used to inspect the effects of financial development and integration on macroeconomic volatility. Under a standard calibration, limited participation model leads to the conclusion that financial development and integration are associated with higher investment and output volatility. Effect of more participation on consumption volatility is dependent on the specification of the risk premium function.