We examine the value of information available to investors through BrokerCheck: the most comprehensive source of information about brokers' professional background and regulatory history that helps investors make informed choices about which brokers to use. We do so by assessing the...

The idea that expectations about future economic fundamentals can drive business cycles dates back to the early 20th century. However, the standard real business cycle (RBC) model fails to generate positive comovement in output, consumption, labor-hours and investment in response to news shocks....

Level vector autoregressive (VAR) models and vector error correction models (VECMs) are used extensively in empirical macroeconomic research. However, estimated level VAR models and VECMs may contain explosive roots, which is at odds with the widespread consensus among macroeconomists that roots...

This paper develops a novel method to correct small-sample bias in autoregressive roots of AR(p) models. We evaluate median-bias properties and variability of the bias-adjusted parameters by examining the accuracy of bias-adjusted impulse responses. Our simulation results show that bias...

Level vector autoregressive (VAR) models are used extensively in empirical macroeconomic research. However, estimated level VAR models may contain explosive roots, which is at odds with the widespread consensus among macroeconomists that roots are at most unity. This paper investigates the...

The idea that expectations about future economic fundamentals can drive business cycles dates back to the early twentieth century. However, the standard real business cycle (RBC) model fails to generate positive comovement in output, consumption, labor-hours and investment in response to news...