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on Discrete Choice Models |
| By: | Griffith, Andrew P.; McKay, Lettie C.; DeLong, Karen L.; Jensen, Kimberly L.; Boyer, Christopher N.; Lambert, Dayton M. |
| Abstract: | Two surveys have been conducted in Tennessee to evaluate consumer willingness to pay for beef with a Tennessee label (Dobbs et al. 2016; Merritt et al. 2018). However, no known Tennessee survey has contacted restaurants to estimate their demand for locally (Tennessee) produced foods. Thus, the goal of this publication is to convey the results of a restaurant survey that elicited restaurant willingness to pay (WTP) for steak and ground beef labeled hypothetically as Tennessee Certified Beef (TCB). The purpose of this publication is to provide information to cattle producers in Tennessee who may have an interest in marketing Tennessee-produced beef to restaurants. These results can also help assist these producers in targeting restaurants that have a higher likelihood and higher WTP for Tennessee-produced beef. This publication was adapted from McKay et al. (2019). |
| Keywords: | Demand and Price Analysis, Food Consumption/Nutrition/Food Safety |
| Date: | 2019–07–01 |
| URL: | http://d.repec.org/n?u=RePEc:ags:utaeer:302735&r=all |
| By: | Upendram, Sreedhar; Jensen, Kimberly L.; DeLong, Karen L.; Menard, R. Jamey; Eckelkamp, Elizabeth |
| Abstract: | The dairy industry in Tennessee has experienced changes over the past few decades. As of August 2019, the number of dairy operations licensed to sell Grade “A” milk in the state was 196, down from 271 in 2018. A potential market opportunity for Tennessee’s dairy producers may lie in selling value-added dairy products to consumers who prefer local foods. In 2018, the Tennessee Department of Agriculture, Business Development Division, instituted the Tennessee Milk Logo (Figure 1). This logo was designed to help consumers identify fluid milk sourced, processed, and bottled in Tennessee. However, no such logo exists for dairy products, including cheese, ice cream, butter, sour cream and yogurt. Thus, we created and examined a hypothetical logo — “Made with Tennessee Milk” — to assess consumer preferences for dairy products. The market potential for dairy products made with Tennessee Milk is unknown, and Tennessee consumer preferences and attitudes toward dairy products are not well documented. The goal of this publication is to convey results of a consumer survey regarding Tennessee consumer expenditures and preferences for dairy products to producers, retailers and policy makers. This study presents: • Willingness to pay for dairy products made with Tennessee Milk; • Potential consumer purchases of dairy products made with Tennessee Milk; • Locations where consumers would purchase dairy products; • Consumer attitudes toward dairy products that are made with Tennessee Milk; • Distance traveled for dairy products to be considered local; • Current consumer purchase patterns for dairy products; and • Respondent demographics. |
| Keywords: | Community/Rural/Urban Development, Demand and Price Analysis, Food Consumption/Nutrition/Food Safety |
| Date: | 2019–11–01 |
| URL: | http://d.repec.org/n?u=RePEc:ags:utaeer:302740&r=all |
| By: | Upendram, Sreedhar; Jensen, Kimberly L.; DeLong, Karen; Menard, Jamey; Eckelkamp, Elizabeth |
| Abstract: | The dairy industry in Tennessee has experienced changes over the past few decades. As of August 2019, the current number of dairy operations licensed to sell Grade A milk in the state is 196, down from 271 in 2018 (Tennessee Department of Agriculture). A potential market opportunity for Tennessee dairy producers is to sell milk to consumers who prefer local milk. In 2018, the Tennessee Department of Agriculture, Business Development Division, instituted the Tennessee Milk logo. This logo was designed to help consumers identify milk that was entirely sourced, processed and bottled in Tennessee. The market for milk with the Tennessee Milk logo is emerging and little is known about consumers’ preferences and attitudes toward fluid milk labeled with the Tennessee Milk logo. The goal of this publication is to convey results of a consumer survey regarding Tennessee consumers’ milk expenditures and preferences for Tennessee Milk to dairy producers, retailers and policy makers. This study presents: • Willingness to pay for Tennessee Milk. • Purchase amounts for Tennessee Milk. • Locations where consumers would purchase Tennessee Milk. • Consumer attitudes toward Tennessee Milk. • Distance traveled for milk to be considered local. • Current milk purchase patterns. • Respondent demographics. |
| Keywords: | Agribusiness, Community/Rural/Urban Development, Demand and Price Analysis, Food Consumption/Nutrition/Food Safety |
| Date: | 2019–10–01 |
| URL: | http://d.repec.org/n?u=RePEc:ags:utaeer:302738&r=all |
| By: | Griffith, Andrew P.; McKay, Lettie; DeLong, Karen L.; Fryxell, R.T. Trout; Schexnayder, Susan; Taylor, David B.; Olafson, Pia |
| Abstract: | In this publication, we report the survey results of cow-calf producers in Tennessee and Texas regarding their willingness to adopt a hypothetical HFR bull into their herds. This publication is adapted from McKay et al. (2019). In reporting these results, the objective is to inform cow-calf producers and seed stock producers of the factors that influence a producer’s decision to adopt a HFR bull. Thus, seedstock producers can use this information to determine if it is worth breeding for the HFR characteristic, while commercial cow-calf producers can use the information to make informed purchasing decisions, if the trait becomes available. |
| Keywords: | Farm Management, Financial Economics, Livestock Production/Industries, Risk and Uncertainty |
| Date: | 2019–06–03 |
| URL: | http://d.repec.org/n?u=RePEc:ags:utaeer:302732&r=all |
| By: | Khandker Nurul Habib; Ph. D.; PEng |
| Abstract: | The paper presents an empirical investigation of telecommuting frequency choices by post-secondary students in Toronto. It uses a dataset collected through a large-scale travel survey conducted on post-secondary students of four major universities in Toronto and it employs multiple alternative econometric modelling techniques for the empirical investigation. Results contribute on two fronts. Firstly, it presents empirical investigations of factors affecting telecommuting frequency choices of post-secondary students that are rare in literature. Secondly, it identifies better a performing econometric modelling technique for modelling telecommuting frequency choices. Empirical investigation clearly reveals that telecommuting for school related activities is prevalent among post-secondary students in Toronto. Around 80 percent of 0.18 million of the post-secondary students of the region, who make roughly 36,000 trips per day, also telecommute at least once a week. Considering that large numbers of students need to spend a long time travelling from home to campus with around 33 percent spending more than two hours a day on travelling, telecommuting has potential to enhance their quality of life. Empirical investigations reveal that car ownership and living farther from the campus have similar positive effects on the choice of higher frequency of telecommuting. Students who use a bicycle for regular travel are least likely to telecommute, compared to those using transit or a private car. |
| Date: | 2020–04 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2004.04683&r=all |
| By: | Giulio Grossi; Patrizia Lattarulo; Marco Mariani; Alessandra Mattei; \"Ozge \"Oner |
| Abstract: | In recent years, Synthetic Control Group (SCG) methods have received great attention from scholars and have been subject to extensions and comparisons with alternative approaches for program evaluation. However, the existing methodological literature mainly relies on the assumption of non-interference. We propose to generalize the SCG method to studies where interference between the treated and the untreated units is plausible. We frame our discussion in the potential outcomes approach. Under a partial interference assumption, we formally define relevant direct and spillover effects. We also consider the "unrealized" spillover effect on the treated unit in the hypothetical scenario that another unit in the treated unit's neighborhood had been assigned to the intervention. Then we investigate the assumptions under which we can identify and estimate the causal effects of interest, and show how they can be estimated using the SCG method. We apply our approach to the analysis of an observational study, where the focus is on assessing direct and spillover causal effects of a new light rail line recently built in Florence (Italy) on the commercial vitality of the street where it was built and of the streets in the treated street's neighborhood. |
| Date: | 2020–04 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2004.05027&r=all |