In this study, we attempt to identify the channels through which economic reforms enhanced the productivity growth in total manufacturing sector in India. Because one possible channel is better utilization of plant capacity, we estimate capacity utilization rate in Indian manufacturing....

Courts require royalty rate calculations based on rigorous economic foundations. The licensing literature provides limited guidance for royalty rate determination, leaving appraisal report readers wanting a more tangible and objective lens through which to understand and judge the credibility of...

In an auction with a buy price, a seller offers bidders the opportunity to forgo competing in an auction by transacting immediately at a pre-specified fixed price. If a seller has aspirations in the form of a reference price that depends upon the auction's reserve price and buy price, she does...

Since 2004, ten U.S. states have enacted laws that mandate real estate brokers to provide real estate consumers with a minimum level of services. The federal government and the academic literature suggest that such state laws are a result of anti-competitive industry collusion, and serve no...

Generally-accepted appraisal practice assumes the Hypothetical Buyer is not well-diversified because the typical real-world buyer does not possess sufficient wealth to own a well-diversified portfolio with assets each in similar value to the subject closely-held interest under appraisal (e.g.,...

The Capital Asset Pricing Model (CAPM) is theoretically incomplete in its demandside focus, risk-averse investors, and internally inconsistent homogeneous beliefs; is not conclusively supported empirically; and yet it legitimizes a notion that investors can earn higher returns by bearing...

We develop a new method for calculating reliable discounts for lack of marketability (DLOMs) for minority family limited partnership (FLP) interests, which we term the Managed Asset Portfolio Market (MAPM) Analysis. DLOMs typically are the largest valuation adjustment in, and often the most...