Researchers using revealed preference data have mostly relied on the Mixed Logit (ML) framework to model unobserved heterogeneity. In this paper, we suggest an extension of this model where we integrate direct measures of taste and revealed preferences, under a unified econometric setting, to...

Replaced with revised version of paper Jan. 11, 2012

Kazakhstan?s agricultural sector plays an important role in the country'seconomy. Not only does it function as an economic output producer, it alsoserves as a social buffer in times of transition to a market economy. Therestructuring process had a strong impact on the economic performance...

The paper examines profitability and market performance of small-scale fish traders selected randomly from a cross-section of nine fish markets in four districts in Central Uganda. Data were collected through a structured questionnaire which was designed to solicit information on traders?...

Since its introduction to a wondering public in 1972, the Cox proportional hazards regression model has become an overwhelmingly popular tool in the analysis of censored survival data. However, some features of the Cox model may cause problems for the analyst or an interpreter of the data. They...

Categorical and limited dependent variable models are routinely estimated via maximum likelihood. It is well-known that the ML estimates of the parameters are inconsistent if the distribution or the skedastic component is misspecified. When conditional moment tests were first developed by Newey...

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...

Es wird das Konzept für ein makroökonomisches Strukturmodell mit integriertem Innovationsprozesskern zur Analyse und Projektion der Wirtschaftsentwicklung in Deutschland vorgestellt. Das geplante Modell soll explizit die Auswirkungen des immer bedeutsamer werdenden IuK-technologischen...

When there is uncertainty concerning the appropriate statistical model to use in representing the data sampling process and corresponding estimators, we consider a basis for optimally combining estimation problems. In the context of the multivariate linear statistical model, we consider a...

This paper introduces a new class of estimators based on minimization of the Cressie-Read (CR) power divergence measure for binary choice models, where neither a parameterized distribution nor a parameterization of the mean is specified explicitly in the statistical model. By incorporating...