The interest rate is generally considered as an important driver of macroeconomic investment. As an innovation, this paper derives the exact shape of the "hysteretic" impact of changes in the interest rate on macroeconomic investment under the scenarios of both certainty and uncertainty. We...

For two different regulatory standards, we examine the optimal minimum wage in a competitive labour market when the government is uncertain about supply and demand. Solutions are related to underlying supply and demand conditions, and the extent of uncertainty and of rationing efficiency. We...

A longstanding challenge in evaluating the impact of uncertainty on investment is obtaining measures of managers' subjective uncertainty. We address this challenge by using a detailed new survey measure of subjective uncertainty collected by the U.S. Census Bureau for approximately 25,000...

We model the aid allocation decision where the donor government has announced that good governance is the criterion for receiving aid. Potential recipients must compete for the aid funds. The structure of the competition is important to the donor in terms of achieving good governance, and to the...

This paper uses a rich Norwegian dataset to re-examine the causal relationship between family income and child outcomes. Motivated by theoretical predictions and OLS results that suggest a nonlinear relationship, we depart from previous studies in allowing the marginal effects on children's...

Tournament incentives prevail in labor markets. Yet, the number of tournament winners is often unclear to competitors. While it is hard to measure how this uncertainty affects work performance and willingness to compete in the field, it can be studied in a controlled lab experiment. We present a...

More often than not production processes are the joint endeavor of people having different abilities and productivities. Such production processes and the associated surplus production are often not fully transparent in the sense that the relative contributions of involved agents are blurred;...

The widely used Oaxaca decomposition applies to linear models. Extending it to commonly used nonlinear models such as duration models is not straightforward. This paper shows that the original decomposition that uses a linear model can also be obtained by an application of the mean value...