Soon after the first identified COVID-19 cases in Iran, the spread of the new Coronavirus has affected almost all its provinces. In the absence of credible data on people's unfiltered concerns and needs, especially in developing countries, Google search data is a reliable source that truthfully...

The purpose of this study is to examine the relationship between globalization, Coronavirus Disease 2019 (COVID-19) cases, and associated deaths in more than 100 countries. Our ordinary least squares multivariate regressions show that countries with higher levels of socio-economic globalization...

The purpose of this study is to examine the relationship between globalization, Coronavirus Disease 2019 (COVID-19) cases, and associated deaths in more than 100 countries. Our ordinary least squares multivariate regressions show that countries with higher levels of socio-economic globalization...

We study the socio-economic determinants of child (girls below age of 19 years) marriage using a panel data of thirty Iranian provinces from 2007 to 2015. Our panel fixed effects and generalized method of moments (GMM) estimations show that the level of income per capita (with negative effect),...

The purpose of this study is to examine the relationship between the extension of globalization and coronavirus disease 2019 (COVID-19) case fatality rate (CFR) calculated on 28 July 2020 in more than 150 countries. Our regression analyses show that countries with higher levels of socio-economic...

A deterministic assignment is popular if it is not popular-dominated, i.e., there is no other one where most agents are better off. We call a deterministic assignment weakly popular if there does not exist a sequence of distinct deterministic assignments, starting with that assignment and ending...

We introduce a formal notion to define distributive justice in the random assignment problem that considers an assignment just if it has the lowest inequality in the distribution of envy among agents. A random assignment has a lower inequality than another one if the former has a lower total...

We introduce ex-ante Pareto efficiency, which is a slightly weaker notion of efficiency than ex-post Pareto efficiency. We strengthen the impossibility between ex-post Pareto efficiency, strategyproofness, and envy-freeness in the random assignment problem and show that it prevails if ex-post...

We introduce a new notion of ex-post efficiency for random assignment problems, namely ex-post rank efficiency that gives a maximal number of agents their favored objects. An ex-post rank efficient random assignment is a lottery over rank efficient deterministic assignments, in the sense of...

A random assignment is rank-minimizing if it has the minimum average rank of objects for agents among all possible assignments. We show that a rank-minimizing random assignment is rank efficient, in the sense of Featherstone (2020). Moreover, we propose a mechanism called the Random...