We illustrate a novel informational feature of education, which the government may utilize. Discretionary decisions of individuals to acquire education may serve as an additional signal (to earned labor income) on the underlying unobserved innate earning ability, thereby mitigating the...

Empirical evidence suggests that charitable contributions to public goods may be driven not only by the familiar warm-glow of giving motive but also as a means for businesses to signal high product quality. Building on this finding, we present an analytical framework that characterizes the...

Empirical evidence suggests that charitable contributions to public goods by businesses may be driven not only by the familiar warm-glow of giving motive but also as a means for businesses to signal high product quality. Building on this finding, we present an analytical framework that...

We present a new theory of wage adjustment, based on worker loss aversion. In line with prospect theory, the workers' perceived utility losses from wage decreases are weighted more heavily than the perceived utility gains from wage increases of equal magnitude. Wage changes are evaluated...

This paper examines the impact of capital market integration (CMI) on higher education and economic growth. We take into account that participation in higher education is noncompulsory and depends on individual choice. Integration increases (decreases) the incentives to participate in higher...

This paper assesses whether the sensitivity of bilateral trade volumes to various trade cost factors is constant or varies across countries. It utilizes a random coeffcients model and analyses a cross-sectional sample of bilateral trade data for 96 countries in 2005. We expect the elasticity of...

This paper investigates the tax responsiveness of multinational firms’ investment decisions in foreign countries, distinguishing firms that are able to avoid taxes (avoiders) from those that are not (non-avoiders). From a theoretical point of view, the tax responsiveness of firms crucially...

This paper proposes a Bayesian estimation framework for panel-data sets with binary dependent variables where a large number of cross-sectional units is observed over a short period of time, and cross-sectional units are interdependent in more than a single network domain. The latter provides...