Comparison of statistical analysis methods for object case best–worst scaling

Abstract

Aims: Different methods have been used to analyze “object case” best–worst scaling (BWS). This study aims to compare the most common statistical analysis methods for object case BWS (i.e. the count analysis, multinomial logit, mixed logit, latent class analysis, and hierarchical Bayes estimation) and to analyze their potential advantages and limitations based on an applied example.

Methods: Data were analyzed using the five analysis methods. Ranking results were compared among the methods, and methods that take respondent heterogeneity into account were presented specifically. A BWS object case survey with 22 factors was used as a case study, tested among 136 policy-makers and HTA experts from the Netherlands, Germany, France, and the UK to assess the most important barriers to HTA usage.

Results: Overall, the five statistical methods yielded similar rankings, particularly in the extreme ends. Latent class analysis identified five clusters and the mixed logit model revealed significant preference heterogeneity for all, with the exception of three factors.

Limitations: The variety of software used to analyze BWS data may affect the results. Moreover, this study focuses solely on the comparison of different analysis methods for the BWS object case.

Conclusions: The most common statistical methods provide similar rankings of the factors. Therefore, for main preference elicitation, count analysis may be considered as a valid and simple first-choice approach. However, the latent class and mixed logit models reveal additional information: identifying latent segments and/or recognizing respondent heterogeneity.     

TIMELY MANAGEMENT CHANGES AS AN ELEMENT OF ORGANIZATIONAL STRATEGY

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Forecasting the daily federal funds rate

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Securitization of mezzanine capital in Germany

A recent trend in the German asset-backed securities (ABS) market is the securitization of subordinated loans and profit participation agreements (PPAs) granted to medium-sized enterprises (MEs). This paper provides an overview of this growing market and analyzes the benefits of such transactions for portfolio companies as well as for originators and potential investors. Simulations of 10 recent transactions indicate that despite the relatively low interest rates charged on obligors, originators and investors can earn attractive returns at fairly low risk. In particula, the junior tranches of these securitizations exhibit quite attractive risk-return profiles.

Efficient versus Sustainable Livestock Grazing in the Sahel

To date, there is no consensus on optimal stocking rates in the semi‐arid Sahel. We develop a model for livestock management based on a detailed analysis of ecosystem dynamics, and we apply it to calculate optimal and sustainable livestock stocking rates in a Sahelian rangeland. The general model accounts for stochastic rainfall and the long‐term impact of grazing on rangeland productivity. For the case study area, the model shows that the optimal stocking rate is higher than the sustainable stocking rate. Hence, with current prices, it is optimal for the pastoralist society to deplete their resource base. In our case study, we also find that the current stocking rate exceeds the optimal stocking rate, which adds to soil depletion.     

An Investigation of the Effect of the 1990 Reserve Requirement Change on Financial Asset Prices

In 1990, the Federal Reserve reduced reserve requirements on large, nonpersonal time deposits and net Eurocurrency liabilities. In this article we provide evidence on who gained from the reduction in this tax. No evidence is found to suggest that large depositors gained by way of higher yields. Rather, evidence indicates a decline in Eurodollar interest rates relative to other money market rates. Evidence further shows that bank shareholders were recipients of abnormal share price appreciation following the announcement. There is little evidence to indicate that shareholders outside of the banking industry experienced similar abnormal gains.     

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Monetary policy rules which rely on the monetary base have been advocated by Meltzer and McCallum. Proponents claim that following monetary base rules would minimize fluctuations around the target growth rate for nominal GNP. Critics of such rules contend that currency has not been properly accounted for in their analysis. This paper examines McCallum's monetary base rule by explicitly taking the demand for currency into account. Assuming that currency is supplied elastically, our investigation quantifies changes in the composition of the monetary base under these rules and provides an estimate of how these compositional changes might affect the variability around the target nominal GNP growth rate.