This study examines how firms' voluntary disclosure decisions are influenced by product market competition. Using separate measures to capture different dimensions of competition, I show that competition from potential entrants increases disclosure quantity while competition from existing rivals...

This paper contributes to the productivity literature by using results from firm-level productivity studies to improve forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity to build times-series components that capture the...

Monthly revenue per unit (RPU), measured by the total monthly revenue divided by the total monthly number of cars in the fleet, is one of the most popular profitability assessments in the car-rental industry. Because pricing decision is influenced by profit a lot, accurate forecast of RPU is...

Using machine learning to forecast revenues per customer, product, or store has become a major industry. It contrasts with a simple, intuitive managerial heuristic: multiply the revenue observed in the first t days by a constant. We test the predictive accuracy of this multiplier heuristic in 20...

Critics of Governor Michael Dukakis have suggested that this year?s $400 million overestimate of tax revenues in Massachusetts casts doubt on his putative managerial skills. In this paper, we carefully examine the entire Dukakis forecasting record. We find that the 1988 experience was "unusual?...

Critics of Governor Michael Dukakis have suggested that this year?s $400 million overestimate of tax revenues in Massachusetts casts doubt on his putative managerial skills. In this paper, we carefully examine the entire Dukakis forecasting record. We find that the 1988 experience was "unusual?...