A Two-Stage Choice Experiment Approach to Elicit Consumer Preferences

Another version will replace the current draftchoice experiment, milk, attribute information, Agribusiness, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, Marketing,

Assessing willingness to pay for organic products in Africa: the case of Malawi

Demand and Price Analysis, Food Consumption/Nutrition/Food Safety, Production Economics,

Estimating Economies of Scope Using Profit Function: A Dual Approach of the Normalized Quadratic Profit Function

Replaced with revised version of paper 06/26/06.Research Methods/ Statistical Methods,

EFFECTS OF ADDITIONAL QUALITY ATTRIBUTES ON CONSUMER WILLINGNESS-TO-PAY FOR FOOD LABELS

Contingent valuation (CV), choice experiment (CE) and experimental auction (EA) or the combinations of the three methods are often used by researchers to elicit consumer willingness to pay for food attributes (food labels). One concern about using these approaches is that quality attributes of food provided to respondents are assumed independent of other attributes which are not provided to respondents during the survey. The limited attributes provided in a survey may lead respondents to allocate their budgets to those limited attributes rather than allocate their budgets to a larger number of product attributes to truly reveal their preferences. Surveys containing a series of online CEs were collected to investigate the effects of additional beef steak attributes on consumer WTP in two different US markets. Random parameters logit models are estimated for each CE in the questionnaires with survey results from both samples. The models with the different survey samples reveal consistent results regarding changes in WTP with more attributes added to the CEs. Consumer WTP for the most important attributes in the CE decreases when the number of attributes increases from three to four, while the WTP for the most important attributes increases when the number of attribute increase from four to five. The changes in the WTP for attributes depend on their relationships with the newly added attributes to the CEs and the number of attributes in CEs.Food Labels, Willingness-to-Pay, Choice Experiment, Demand and Price Analysis,

Consumer Demand for Healthy Diet: New Evidence from Healthy Eating Index

Replaced with revised version of paper 07/20/10.Food Consumption/Nutrition/Food Safety, Health Economics and Policy,

Weight Control Strategies and Diet Quality

obesity, diet quality, nhanes, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, I00,

The Impact of Country of Origin Label on Consumers' Willingness-to-Pay for Organic Food

organic food, country of origin, choice experiment, Agribusiness, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, Marketing,

Reverse k Nearest Neighbor Search over Trajectories

GPS enables mobile devices to continuously provide new opportunities to improve our daily lives. For example, the data collected in applications created by Uber or Public Transport Authorities can be used to plan transportation routes, estimate capacities, and proactively identify low coverage areas. In this paper, we study a new kind of query-Reverse k Nearest Neighbor Search over Trajectories (RkNNT), which can be used for route planning and capacity estimation. Given a set of existing routes DR, a set of passenger transitions DT, and a query route Q, a RkNNT query returns all transitions that take Q as one of its k nearest travel routes. To solve the problem, we first develop an index to handle dynamic trajectory updates, so that the most up-to-date transition data are available for answering a RkNNT query. Then we introduce a filter refinement framework for processing RkNNT queries using the proposed indexes. Next, we show how to use RkNNT to solve the optimal route planning problem MaxRkNNT (MinRkNNT), which is to search for the optimal route from a start location to an end location that could attract the maximum (or minimum) number of passengers based on a pre-defined travel distance threshold. Experiments on real datasets demonstrate the efficiency and scalability of our approaches. To the best of our best knowledge, this is the first work to study the RkNNT problem for route planning.Comment: 12 page