This study provides a new framework of analysis of the market and welfare effects of mandatory country-of-origin labeling (MCOOL) for fruits and vegetables that accounts for heterogeneous consumer preferences, differences in producer agronomic characteristics, and retailer market power. The...

Increasing happiness of population as the ultimate goal has engaged economist’s interest in identifying, measuring and theorizing based on the amount of influence of effective components on happiness. What makes this paper remarkable in contrast to similar studies is its Islamic ideological...

Understanding the reasons why individuals take risks, particularly unnecessary risks, remains an important question in economics. We provide the first evidence of a powerful connection between happiness and risk-avoidance. Using data on 300,000 Americans, we demonstrate that happier individuals...

Understanding the reasons why individuals take risks, particularly unnecessary risks, remains an important question in economics. We provide the first evidence of a powerful connection between happiness and risk-avoidance. Using data on 300,000 Americans, we demonstrate that happier individuals...

Understanding the reasons why individuals take risks, particularly unnecessary risks, remains an important question in economics. We provide the first evidence of a powerful connection between happiness and risk-avoidance. Using data on 300,000 Americans, we demonstrate that happier individuals...

We examine the role of demographics on the housing market in the Helsinki Metropolitan Area (HMA) using the Mankiw and Weil (1989) approach. First, we estimate housing demand for each age group in HMA using cross section data and find that it increases from childhood to the age 70-74 years. This...

While estimates of models with spatial interaction are very sensitive to the choice of spatial weights, considerable uncertainty surrounds definition of spatial weights in most studies with cross-section dependence. We show that, in the spatial error model the spatial weights matrix is only...

While estimates of models with spatial interaction are very sensitive to the choice of spatial weights, considerable uncertainty surrounds the definition of spatial weights in most studies with cross-section dependence. We show that, in the spatial error model, the spatial weights matrix is only...

This paper proposes a methodology for estimation of spatial weights matrices which are consistent with a given or estimated pattern of spatial autocovariance. This approach is potentially useful for applications in urban, environmental, development, growth and other areas of economics where...