19 research outputs found
Dataset on Student Exam Performance by Gender and Exam Type
No full textThis dataset shows the Economics exam performance of 1124 university students based on their gender and the exam type. Exam type can be either type A or type B. Questions in exam type A follow the course syllabus order. Questions in exam type B are scrambled and follow a random order. The following hypothesis can be tested from this data:
- Is there a difference in mean student scores based on gender?
- Is there a difference in mean student scores based on exam type?
- What is the correlation between midterm and final exam scores
Data for: Measuring Achievements towards SDG14, Life Below Water, in the United Arab Emirates
No full textThis data measures the recent indicators on the United Arab Emirates regarding Sustainable Development Goal 14, Life below water
Dataset on the Marine Sustainability in the United Arab Emirates
No full textThis data compiles the relevant indicators on measuring the UAE's attainments towards sustaining marine life and coastal ecosystems. Those indicators are compiled from three databases, namely from the United Nations, BertelsmannStiftung (BS) Foundation, and the Ocean Health Index (OHI). While the UN and BS indicators are widely accepted in measuring sustainability, many of the indicators in these databases are ambiguous and incomplete. The data from OHI is complete and offers a better perspective on measuring the quality of life below water at a country level. This is an interesting case study, which can extend to other countries. The compiled data can be used to make better decisions for future sustainability initiatives in protecting marine life. Interpretation of this data can be found in the article by Gulseven (2020) titled "Measuring achievements towards SDG 14, life below water , in the United Arab Emirates" [1] . (C) 2020 The Author. Published by Elsevier Inc
INDEMNITY PAYMENTS IN AGRICULTURAL INSURANCE: RISK EXPOSURE OF EU STATES
No full textThis study estimates the risk contributions of individual European countries regarding the indemnity payments in agricultural insurance. We model the total risk exposure as an insurance portfolio where each country is unique in terms of its risk characteristics. The data has been collected from the recent surveys conducted by the European Commission and the World Bank. Farm Accountancy Data Network is used as well. 22 out of 26 member states are included in the study. The results suggest that the Euro-Mediterranean countries are the major risk contributors. These countries not only have the highest expected loss but also high volatility of indemnity payments. Nordic countries have the lowest indemnity payments and risk exposure
Data for: Measuring Achievements towards SDG14, Life Below Water, in the United Arab Emirates
No full textThis data measures the recent indicators on the United Arab Emirates regarding Sustainable Development Goal 14, Life below water
The Role of Gender and Education on Decision-Making
No full textAbstractIn this article we investigated the predominance of six unique dimensions of decisionmaking. We defined those dimensions as rationality, acuity, autonomy, openness, control, and emotion-neutrality. Our data is based on an online survey conducted on a global scale. From this survey, we received a total of 356 responses, of which 204 (57.3%) are females, and 152 (42.70%) are males. Of the respondents, 139 (39.04%) work in the education sector as teachers, academicians, lab instructors, course assistants and the remainder in other occupations. Our results suggest that emotion-neutrality is positively associated with all the dimensions of decision-making except acuity. We found that emotion-neutrality plays a significant role in the decision-making processes. However, female respondents perceive themselves to be less emotion-neutral, a finding that is amplified in the education sector. Thus, female teachers are more likely to make emotional decisions.Publisher's Versio
The Role of Gender and Education on Decision-Making
No full textIn this article we investigated the predominance of six unique dimensions of decisionmaking. We defined those dimensions as rationality, acuity, autonomy, openness, control, and emotion-neutrality. Our data is based on an online survey conducted on a global scale. From this survey, we received a total of 356 responses, of which 204 (57.3%) are females, and 152 (42.70%) are males. Of the respondents, 139 (39.04%) work in the education sector as teachers, academicians, lab instructors, course assistants and the remainder in other occupations. Our results suggest that emotion-neutrality is positively associated with all the dimensions of decision-making except acuity. We found that emotion-neutrality plays a significant role in the decision-making processes. However, female respondents perceive themselves to be less emotion-neutral, a finding that is amplified in the education sector. Thus, female teachers are more likely to make emotional decisions
A Hedonic Metric Approach to Estimating the Demand for Differentiated Products: An Application to Retail Milk Demand
No full textThis article introduces the Hedonic Metric (HM) approach as an original method to model the demand for differentiated products. Using this approach, initially we create an n-dimensional hedonic space based on the characteristic information available to consumers. Next, we allocate products into this space and estimate the elasticities using distances. What distinguishes our model from traditional demand models such as Almost Ideal Demand System (AIDS) and Rotterdam Model is the way we link elasticities with product characteristics. Moreover, our model significantly reduces the number of parameters to be estimated, thereby making it possible to estimate large number of differentiated products in a single demand system. We applied our model to estimate the retail demand for fluid milk products. We also compared our results with the Distance Metric (DM) approach of Rojas and Peterson (2008) using the estimation results from traditional models as a benchmark point. Our approach is shown to give superior results and better approximations to original models.Hedonic Metrics, Distance Metrics, Rotterdam Model, Almost Ideal Demand System, Differentiated Products, Milk Demand., Food Security and Poverty, C30, C80, Q11, Q13, Q18,
