|
on Discrete Choice Models |
By: | Reich, Charlotte-Elena; Musshoff, Oliver |
Keywords: | Agricultural and Food Policy, Institutional and Behavioral Economics, Agricultural Finance |
Date: | 2022–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322371&r= |
By: | Lydia Chikumbi; Milan Scasny |
Abstract: | The approach and survey used to examine non-market value in a stated preference study can influence the outcomes and impact the validity and reliability of value estimates. While prior research has investigated the impact of 'price framing' on decision-making in other disciplines, (i.e. marketing & psychology), little is known about its validity and reliability in Discrete Choice Experiments (DCEs) and environmental valuation. The study explores the effect of 'price framing' on DCE measurements. The tests are carried out using data from a choice experiment on preferences for natural preservatives in wine. The same respondents completed a nearly identical DCE survey, one with a real price and another with a percentage price change as cost attribute. 611 respondents completed the survey, and a panel mixed logit model was used for the analysis. Results demonstrate that 'price framing' remarkably influenced respondents WTP changes in attributes. The data reveals that while the rank order of importance of attributes, signs, and significance levels are similar for the two samples, they differ in the parameter magnitudes. The study sheds light on the establishment of guidelines for developing valid cost attributes in DCEs studies. |
Keywords: | Price framing, Discrete choice experiment, Mixed Logit Model |
Date: | 2022–07 |
URL: | http://d.repec.org/n?u=RePEc:rza:wpaper:878&r= |
By: | Reeling, Carson; Kim, Yusun |
Keywords: | Environmental Economics and Policy, Resource/Energy Economics and Policy, Research Methods/Statistical Methods |
Date: | 2022–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322460&r= |
By: | Shu, Yiheng; Hu, Wuyang |
Keywords: | Institutional and Behavioral Economics, Research Methods/Statistical Methods, Food Consumption/Nutrition/Food Safety |
Date: | 2022–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322389&r= |
By: | Ijaz, Arusha; Yu, Jisang; Schwab, Benjamin |
Keywords: | Research Methods/Statistical Methods, Community/Rural/Urban Development, Marketing |
Date: | 2022–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322336&r= |
By: | Bartolucci, Francesco; Pigini, Claudia; Valentini, Francesco |
Abstract: | We propose a test for state dependence in the fixed-effects ordered logit model, based on the combination of the Quadratic Exponential model with the popular Blow-Up and Cluster procedure, used to estimate the fixed-effects ordered logit model. The test exhibits satisfactory size and power properties in simulation, for data generated according to models where persistence lies either in the latent or observed response variable. |
Keywords: | Conditional Maximum Likelihood; Fixed effects; Ordered panel data; Quadratic Exponential model; State dependence |
JEL: | C12 C23 C25 |
Date: | 2022–07–26 |
URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:113890&r= |
By: | Neubig, Christina Maria; Roosen, Jutta |
Keywords: | Food Consumption/Nutrition/Food Safety, Marketing, Institutional and Behavioral Economics |
Date: | 2022–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322098&r= |
By: | Basen, Wyatt E.; Lai, John; Kassas, Bachir |
Keywords: | Marketing, Agribusiness, Production Economics |
Date: | 2022–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322522&r= |
By: | Kim, Dahye; Caputo, Vincenzina |
Keywords: | Food Consumption/Nutrition/Food Safety, Research Methods/Statistical Methods, Marketing |
Date: | 2022–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322384&r= |
By: | Lee, Juhee; Hendricks, Nathan P. |
Keywords: | Production Economics, Agricultural Finance, Food Consumption/Nutrition/Food Safety |
Date: | 2022–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322602&r= |
By: | Debora Giovannelli (Florence) |
Abstract: | The Net Promoter Score (NPS) index is a popular satisfaction measure that allows one to gauge customer loyalty (CL) at most large and medium-sized |
Date: | 2022–07–03 |
URL: | http://d.repec.org/n?u=RePEc:boc:isug22:12&r= |
By: | Ufer, Danielle; Ortega, David L. |
Keywords: | Agribusiness, Production Economics, Marketing |
Date: | 2022–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322269&r= |