208 research outputs found

    An Ordinal Regression Model using Dealer Satisfaction Data

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    This article analyses dealer satisfaction data in the agricultural technology market in Germany. The dealers could rate their suppliers in the 'overall satisfaction' and in 38 questions which can be summarized in 8 dimensions. An ordinal regression model which is also known as the proportional odds model is used to analyse the ordinal scaled rating of the dealers. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear regression model due to better interpretation, even the assumptions of a linear regression do not fit the data. Since the estimated coefficients of an ordinal regression model can not be properly interpreted we show other methods for a better insight of the relationship of the dealer satisfaction and the influencing variables. These methods are easy to use and it is recommended to list some of them in empirical papers.ordinal regression, dealer satisfaction, interpretation

    European food quality policy: the importance of geographical indications, organic certification and food quality insurance schemes in European countries

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    The protection of geographical indications, organic certification and food quality assurance schemes are the cornerstones of European food quality policy. In this paper the importance of these voluntary quality policy schemes in the different Member States of the European Union is investigated. Member States may be grouped into four cluster according to the food quality orientation.food quality policy, protected geographical indications, organic certification, quality assurance schemes, Europe, cluster, PDO, PGI, TSG, Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety,

    An ordinal regression model using dealer satisfaction data

    Get PDF
    This article analyses dealer satisfaction data in the agricultural technology market in Germany. The dealers could rate their suppliers in the ?overall satisfaction? and in 38 questions which can be summarized in 8 dimensions. An ordinal regression model which is also known as the proportional odds model is used to analyse the ordinal scaled rating of the dealers. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear regression model due to better interpretation, even the assumptions of a linear regression do not fit the data. Since the estimated coefficients of an ordinal regression model can not be properly interpreted we show other methods for a better insight of the relationship of the dealer satisfaction and the influencing variables. These methods are easy to use and it is recommended to list some of them in empirical papers

    Standard and Shuffled Halton sequences in a Mixed Logit Model

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    Modeling consumer choice in different areas has lead to an increase use of discrete choice models. Probit or Multinomial Logit Models are often the base of further empirical research of consumer choice. In some of these models the equations to solve have no closed-form expression. They include multi-dimensional integrals which can not be solved analytically. Simulation methods have been developed to approximate a solution for these integrals. This paper describes the Standard Halton sequence and a modification of it, the Shuffled Halton sequence. Both are simulation methods which can reduce computational effort compared to a random sequence. We compare the simulation methods in their coverage of the multi-dimensional area and in their estimation results using data of consumer choice on grocery store formats

    The Diaphanous-Related Formins: Dynamic Regulators of Smooth Muscle Cell-Specific Gene Transcription

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    We and others have previously shown that RhoA-dependent actin polymerization stimulates SMC-specific gene transcription by promoting the nuclear accumulation of the myocardin-related transcription factors (MRTF)-A and -B. Very little is known about the downstream RhoA effectors that mediate this response, and the goal of the studies described herein was to define the role of the diaphanous-related formins (DRFs) in regulating smooth muscle cell (SMC) differentiation. The DRFs mDia1 and mDia2 are highly expressed in cultured SMCs and in tissues containing a high smooth muscle component. Activation of mDia1 or mDia2 by RhoA stimulated actin polymerization, MRTF nuclear accumulation, and SMC-specific gene transcription. Interestingly, we found that phosphorylation of the Diaphanous Autoregulatory Domain (DAD) by Rho-kinase also stimulated mDia2 activity and SM-marker gene expression. Knockdown of mDia1/2 using siRNA significantly attenuated expression of numerous SM-marker genes in primary aortic SMCs. While we originally attributed these findings to the regulation of cytoplasmic actin dynamics by the DRFs, recent evidence linking nuclear globular (G)-actin to MRTF nuclear export led us to investigate a possible role for the DRFs in the nucleus. We found that mDia2, but not mDia1 or FHOD1, accumulated in the nucleus following treatment with leptomycin, an inhibitor of Crm-1 dependent nuclear export. Deletion and mutation analyses identified nuclear localization sequences (NLS) in the core formin homology 2 (FH2) domain and extreme N-terminus, and a leucine-rich nuclear export sequence (NES) was identified in the C-terminus of mDia2. Importantly, mDia2 variants that were excluded from the nucleus did not stimulate SMC-specific gene transcription and MRTF-B nuclear accumulation as well as wild-type mDia2. Taken together, these data support a model in which mDia2 activity in the nucleus and cytoplasm depletes cellular G-actin pools resulting in MRTF nuclear accumulation and activation of SMC-specific gene transcription

    Effect of Human Disturbance on Small Mammal Communities in Itasca State Park, Minnesota

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    We determined effects of different levels of human disturbance on small mammal richness and relative abundance from live-trapping data obtained in Itasca State Park in northwestern Minnesota. We developed a quantitative measure of human disturbance based on disturbance units and trapped small mammals on three study sites, each reflecting a different level of disturbance. Our data revealed that small mammal diversity decreased with increasing human disturbance. Amount of ground cover and litter depth also appeared to be important in explaining differences in the demographic patterns of small mammals among sites

    Evaluating areas of high conservation value in western Oregon with a decision-support model

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    Abstract: The Northwest Forest Plan was implemented in 1994 to protect habitat for species associated with old-growth forests, including Northern Spotted Owls (Strix occidentailis caurina) in . Nevertheless, Resumen: El Plan Forestal Noroccidental fue implementado en 1994 para proteger el hábitat para especies asociadas con bosques maduros, incluyendo Strix occidentailis caurina en Washington, Oregon y norte de California (E. U. A.). Sin embargo, datos de monitoreo durante 10 años indicanéxito mixto en el logro de las metas ecológicas del plan. Utilizamos el modelo de respaldo a la toma de decisiones para el manejo de ecosistemas para evaluar hábitats terrestres y acuáticos en el paisaje con base en los objetivos ecológicos de
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