The degree of endemic volatility in the number of firms and establishments varies considerably across industries. Examining the within-industry range of variation (max.-min.) of the number of firms over our sample period, the low and high values across U.S. manufacturing industries are 4 and...

Using data from the US automobile market, we empirically examine the link between competition and innovation. Consistent with a large literature, we use patent counts as a measure of innovation. The combination of the US market's economic importance, market dynamics, and the significant...

Using the framework provided by the asymmetric-information and real-options theories, we examine the impact of uncertainty on firms' decisions and market outcomes. We construct alternative measures of uncertainty based on survey of professional forecasters and our estimation of regression-based...

We examine the impact of uncertainty on employment dynamics. Alternative measures of uncertainty are constructed based on the survey of professional forecasters, and regression-based forecasting models for GDP growth, inflation, S&P500 stock price index, and fuel prices. Our results indicate...

I present the following proposal: information revealed during non-cartel investigations by competition law enforcement authorities, such as evaluation of M&As or investigation of monopolization (dominance) conduct, should be directly used to investigate and prosecute cartels. Currently, in...

While price-fixing cartel prosecutions have received significant attention, the policy determinants and the political preferences that guide such antitrust prosecutions remain understudied. We empirically examine the intertemporal shifts in U.S. antitrust cartel prosecutions during the period...

Using a unique plant-level dataset we examine total factor productivity (TFP) growth and its components, related to efficiency change and technical change. The data we use is from Sweden and for their pulp and paper industry, which is heavily regulated due to its historically large contribution...