This paper studies pricing and observational learning in a reward-based crowdfunding campaign context. The creator sets a funding target and uses different pricing strategies in order to make the project successful: menu price and other static or dynamic price strategies, such as low price, high...

In this paper we consider the problem of making inference on a structural parameter in instrumental variables regression when the instruments are only weakly correlated with the explanatory endogenous variables. Adopting a local-to-zero assumption as in Staiger and Stock (1994) on the...

The field of financial econometrics has exploded over the last decade. This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to...

We consider a deterministically trending dynamic time series model in which multiple structural changes in level, trend, and error variance are modeled explicitly and the number, but not the timing, of the changes is known. Estimation of the model is made possible by the use of the Gibbs...