The area under the receiver operating characteristic (ROC) curve is often used to summarize and compare the discriminatory accuracy of a diagnostic test or modality, and to evaluate the predictive power of statistical models for binary outcomes. Parametric maximum likelihood methods for fitting...

The objective of this study is to investigate how professional traders in futures and optionsmarkets behave under risk and uncertainty. Our preliminary findings suggest that most tradersexhibit concave utility functions for gains and convex utility functions for losses, while theirweighting...

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This paper develops a model of farmer decision-making to examine the extent to which uncertainties about the performance of site-specific technologies (SSTs) and about the weather impact the value of these technologies. The model uses the jointly estimated risk and technology parameters to...

This paper deals with the effects of uncertain output prices upon fishers' location choices. It employs ARIMA models to construct the price forecasts used by fishers in a model which generates expected profits for three fishing locations in the British Columbia salmon fishery. A random utility...

This paper investigates the impact of USDA crop production reports in corn andsoybean futures markets. The analysis is based on all corn and soybean production reportsreleased over 1970-2006. The empirical analysis compares the typical OLS eventstudy approach to the new Identification by...

Diese Dissertation umfasst sowohl einen theoretisches als auch einen empirischen Beitrag zur Analyse der Messung der gesamten Faktorproduktivität (TFP). Das erste Kapitel inspiziert die bestehende Literatur über die häufigsten Techniken der TFP Messung und gibt einen Überblick über deren...

In ecological population management, years of animal counts are fit to nonlinear, dynamic models (e.g. the Ricker model) because the values of the parameters are of interest. The yearly counts are subject to measurement error, which inevitably leads to biased estimates and adversely affects...

I develop an empirical model that estimates a firm-specific accrual noise ratio (ANR), an operational and statistically grounded measure of accrual reliability, and test the measure's construct validity. The model allows accrual reliability to vary across firms, which is particularly important...

In much of applied statistics variables of interest are measured with error. In particular, regression with covariates that are subject to measurement error requires adjustment to avoid biased estimates and invalid inference. We consider two aspects of this problem. Detection Limits (DL) arise...