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...

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.,...

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...

Although the holdout problem is a well-established part of legal and economic lore, the exact source of the problem is not well understood. The problem is usually attributed to high transaction costs or excessive bargaining power on the part of sellers once they recognize the scope of the...

A handful of economically distressed cities and counties are considering using their power of eminent domain to write down the principal of underwater mortgage loans. Analogous to the condemnation of tangible real estate for public use, the city would “take” intangible mortgage loans from...

This paper provides out-of-sample forecasts of linear and non-linear models of US and Census regions housing prices. The forecasts include the traditional point forecasts, but also include interval and density forecasts of the housing price distributions. The non-linear smooth-transition...

This paper examines the causal relationships between the real house price index and real GDP per capita in the U.S., using the bootstrap Granger (temporal) non-causality test and a fixed-size rolling-window estimation approach. We use quarterly time-series data on the real house price index and...

We implement several Bayesian and classical models to forecast housing prices in 20 US states. In addition to standard vector-autoregressive (VAR) and Bayesian vector autoregressive (BVAR) models, we also include the information content of 308 additional quarterly series in some models. Several...

We examine the time-series relationship between housing prices in Los Angeles, Las Vegas, and Phoenix. First, temporal Granger causality tests reveal that Los Angeles housing prices cause housing prices in Las Vegas (directly) and Phoenix (indirectly). In addition, Las Vegas housing prices cause...

Our paper considers this channel whereby monetary policy, a Federal funds rate shock, affects the dynamics of the US housing sector. The analysis uses impulse response functions obtained from a large-scale Bayesian Vector Autoregression (LBVAR) model that incorporates 143 monthly macroeconomic...