Estimating Preference Heterogeneity for Grass-fed Beef Cattle Traits

This paper examines grass-fed beef producer preferences for cattle traits using data from a mail survey of 384 U.S. grass-fed beef producers. Conjoint analysis and Likert scale questions were used to determine preferences. Generally, results indicated that producers preferred easy-to-handle, heavy, black, and relatively lower-priced feeders raised from their own cows. The Kernel density figures for source, color, and temperament confirm the mixed logit standard deviation estimates that suggest heterogeneity in producer preferences.

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On the sensibility of the Pairs Trading strategy: the case of the FTS stock market index

Studies of Applied Economics ◽

10.25115/eea.v38i3.3145 ◽

2020 ◽

Vol 38 (3) ◽

Author(s):

Ainhoa Fernández-Pérez ◽

María de las Nieves López-García ◽

José Pedro Ramos Requena

Keyword(s):

Standard Deviation ◽

Stock Market ◽

Trading Strategy ◽

Stock Market Index ◽

Pairs Trading ◽

Empirical Application ◽

Statistical Arbitrage ◽

Market Index ◽

Standard Deviations ◽

Using Data

In this paper we present a non-conventional statistical arbitrage technique based in varying the number of standard deviations used to carry the trading strategy. We will show how values of 1 and 1,2 in the standard deviation provide better results that the classic strategy of Gatev et al (2006). An empirical application is performance using data of the FST100 index during the period 2010 to June 2019.

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Influencing Perceptions in Non-animal Science Majors: Impact of a High Enrollment, Asynchronous Core Curriculum Science General Animal Science Course

Journal of Animal Science ◽

10.1093/jas/skab096.083 ◽

2021 ◽

Vol 99 (Supplement_2) ◽

pp. 45-45

Author(s):

Sushil Paudyal ◽

Leslie Frenzel ◽

Kathrin Dunlap

Keyword(s):

Beef Cattle ◽

Dairy Cattle ◽

Student Perceptions ◽

Core Curriculum ◽

Small Animal ◽

Likert Scale ◽

Animal Production ◽

Science Majors ◽

Animal Science ◽

Production Industry

Abstract Perceptions of animal production industry and background knowledge of animal science vary greatly amongst students, particularly non-animal science majors. The objective was to assess the influence of a large asynchronous core curriculum science course, General Animal Science, on non-major student perceptions and knowledge of animal science. Student surveys (n = 634) were conducted (preceding and subsequent to course completion. The majority (57.66%) indicated no agriculture background. Among those reporting an agriculture background, 47.82% indicated having animal industry experience, and a mean score of 4.22 [SD 2.96; Likert scale (0–10)] evaluating perceived strength of their agriculture background. Of respondents, 34.77% indicated experience with companion animal, 13.6% beef cattle, 12.5% equine, 10.4% sheep and goats, 8.01% swine, 9.7% poultry, and 3.5% dairy cattle. Post-course responses were received from 71% of the enrolled students (n=541), and comprised of freshman (0–29 credit hours; n = 81), sophomore (30–59, n = 142), junior (60–89; n = 141), senior (90+; n = 48). Respondents indicated a mean score of 7.51 [SD 2.47; Likert scale (0–10)] that this course increased their interest in animal science and indicated a mean score of 6.71 (SD 2.97) on motivation to further their animal science knowledge. Students reported they felt more informed in beef cattle (40.10%), dairy cattle (15.05%), equine (14.56%), poultry (10.92%), swine (4.61%), and small animal (6.55%) production industries. Respondents (98.06%) indicated increased confidence as an educated consumer of animal products and a majority (92.2%) agreed this course helped eliminate misconceptions related to the animal production industry. In addition, 34.22% responded extremely likely, and 50.73% somewhat likely to utilize course knowledge in their everyday life. We concluded that enrollment in the asynchronous core curriculum science course, General Animal Science, reduced misconceptions related to animal production and increased knowledge of and appreciation of the animal production industry in non-animal science majors.

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An assessment of the quality indicators of operative and non-operative times in a public university hospital

Einstein (São Paulo) ◽

10.1590/s1679-45082015gs3289 ◽

2015 ◽

Vol 13 (4) ◽

pp. 594-599 ◽

Cited By ~ 5

Author(s):

Altair da Silva Costa Jr ◽

Luiz Eduardo Villaça Leão ◽

Maykon Anderson Pires de Novais ◽

Paola Zucchi

Keyword(s):

Standard Deviation ◽

Operating Room ◽

Operative Time ◽

Patient Flow ◽

Cross Sectional Study ◽

Public University ◽

Major Effect ◽

University Hospital ◽

Cross Sectional ◽

Using Data

ABSTRACT Objective To assess the operative time indicators in a public university hospital. Methods A descriptive cross-sectional study was conducted using data from operating room database. The sample was obtained from January 2011 to January 2012. The operations performed in sequence in the same operating room, between 7:00 am and 5:00 pm, elective or emergency, were included. The procedures with incomplete data in the system were excluded, as well as the operations performed after 5:00 pm or on weekends or holidays. Results We measured the operative and non-operative time of 8,420 operations. The operative time (mean and standard deviation) of anesthesias and operations were 177.6±110 and 129.8±97.1 minutes, respectively. The total time of the patient in operative room (mean and standard deviation) was 196.8±113.2. The non-operative time, e.g., between the arrival of the patient and the onset of anesthesia was 14.3±17.3 minutes. The time to set the next patient in operating room was 119.8±79.6 minutes. Our total non-operative time was 155 minutes. Conclusion Delays frequently occurred in our operating room and had a major effect on patient flow and resource utilization. The non-operative time was longer than the operative time. It is possible to increase the operating room capacity by management and training of the professionals involved. The indicators provided a tool to improve operating room efficiency.

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Attribute Non-Attendance and Consumer Preferences for Online Food Products in Germany

German Journal of Agricultural Economics ◽

10.30430/69.2020.1.31-48 ◽

2020 ◽

Vol 69 (1) ◽

pp. 31-48

Author(s):

P. Christoph Richartz ◽

Lukas Kornher ◽

Awudu Abdulai

Keyword(s):

Latent Class ◽

Consumer Preferences ◽

Mixed Logit ◽

Meat Products ◽

Food Product ◽

Latent Class Models ◽

Preference Heterogeneity ◽

Significant Heterogeneity ◽

Processing Strategies ◽

Class Models

In this article, we apply a choice experiment meth-od to examine consumers’ preferences for online food product attributes, using survey data for German consumers for meat products. We use both mixed logit and latent class models to analyze preference heterogeneity and sources of heterogeneity, as well as endogenous attribute attendance models to account for consumers’ attribute processing strategies. The empirical results reveal significant heterogeneity in preferences for online meat attributes among consumers. We also find that consumers’ willingness to pay estimates are highly influenced by their attribute processing strategies.

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Farm practices as they affect NH3 emissions from beef cattle

Canadian Journal of Animal Science ◽

10.4141/cjas2012-055 ◽

2012 ◽

Vol 92 (4) ◽

pp. 525-543 ◽

Cited By ~ 16

Author(s):

S. C. Sheppard ◽

S. Bittman

Keyword(s):

Beef Cattle ◽

Best Management Practices ◽

Management Practices ◽

Cost Benefit Analysis ◽

Cost Benefit ◽

Total Biomass ◽

The West ◽

Finishing Cattle ◽

Key Factor ◽

Using Data

Sheppard, S. C. and Bittman, S. 2012. Farm practices as they affect NH 3 emissions from beef cattle. Can. J. Anim. Sci. 92: 525–543. Beef cattle farms in Canada are very diverse, both in size and management. Because the total biomass of beef cattle in Canada is larger than any other livestock sector, beef also has the potential for the largest environmental impact. In this study we estimate NH3 emissions associated with beef cattle production across Canada using data on farm practices obtained from a detailed survey answered by 1380 beef farmers in 11 Ecoregions. The farms were various combinations of cow/calf, backgrounding and finishing operations. The proportion of animals on pasture varied markedly among Ecoregions, especially for cows and calves, and this markedly affected the estimated NH3 emissions. The crop components of feed also varied among Ecoregions, but the resulting crude protein concentrations were quite consistent for both backgrounding and finishing cattle. Manure was stored longer in the west than in the east, and fall spreading of manure was notably more common in the west, especially when spread on tilled land. The estimated NH3 emissions per animal were relatively consistent across Ecoregions for confinement production, but because the proportion of animals on pasture varied with Ecoregion, so did the overall estimated NH3 emissions per animal. Temperature is a key factor causing Ecoregion differences, although husbandry and manure management practices are also important. Hypothetical best management practices had little ability to reduce overall emission estimates, and could not be implemented without detailed cost/benefit analysis.

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Identifying Program Preferences through Conjoint Analysis: Illustrative Results from a Parent Sample

American Journal of Health Promotion ◽

10.4278/0890-1171-8.2.124 ◽

1993 ◽

Vol 8 (2) ◽

pp. 124-133 ◽

Cited By ~ 34

Author(s):

Richard Spoth ◽

Cleve Redmond

Keyword(s):

Conjoint Analysis ◽

Computer Simulations ◽

Prevention Programs ◽

Computer Assisted ◽

Cross Sectional ◽

Telephone Interviews ◽

Relative Value ◽

Individual Features ◽

Parent Choices ◽

Using Data

Purpose. The purpose of this article is to illustrate the application of conjoint analysis, a consumer research technique, using data from a survey of parents' preferences for prevention programs. Design. This study utilized a one-time, cross-sectional telephone survey. Setting. Data were collected from subjects living in economically disadvantaged rural midwestern counties. Subjects. Subjects were 202 randomly selected parents with préadolescents who indicated interest in family-focused prevention programs. Measures. Conjoint analysis software was employed in computer-assisted telephone interviews to evaluate relative preferences for 39 individual features of family-focused prevention programs falling under 11 categories (e.g., program meeting time, facilitator background). The software also guided computer simulations of parent choices among four types of programs. Results. Findings indicated that meeting time was the most important category of program features. Strongly preferred individual features included meetings scheduled on weekday evenings, instruction by child development specialists, and programs based on extensive research. Two multiple-session programs evaluated via computer simulations incorporated several preferred features and received higher ratings than did single-session programs. Estimated variance z-tests indicated limited differences in perceived importance of program feature categories across sociodemographic subgroups. Conclusions. Findings highlight a) differences in the relative value parents place on various features of prevention programs in the surveyed population and b) the importance of practical aspects of program delivery.

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Classification of the coefficient of variation to variables in beef cattle experiments

Ciência Rural ◽

10.1590/0103-8478cr20160946 ◽

2017 ◽

Vol 47 (11) ◽

Cited By ~ 3

Author(s):

Marcos André Braz Vaz ◽

Paulo Santana Pacheco ◽

Enio Júnior Seidel ◽

Angela Pellegrin Ansuj

Keyword(s):

Standard Deviation ◽

Beef Cattle ◽

Coefficient Of Variation ◽

Theses And Dissertations

ABSTRACT: This research was conducted to propose a classification of the coefficient of variation (CV%) in many categories of variables of production and carcass of beef cattle experiments. The data was collected from theses and dissertations. We used the methods of classification considering mean and standard deviation, and considering median and pseudo-sigma. The two methods showed similar results so both can be used to classify CV%. We propose only three categories to rank CV%: low, medium and high.

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Economic Valuation of Local Environmental Amenities: A Case Study of Bahir Dar City, Amhara Regional State, Ethiopia

African Journal of Hospitality, Tourism and Leisure ◽

10.46222/ajhtl.19770720-127 ◽

2021 ◽

pp. 698-711

Author(s):

Mekuannet Worku ◽

Tefera Berihun Taw ◽

Malaku Tarekegn

Keyword(s):

Logit Model ◽

Mixed Logit ◽

Sampling Technique ◽

Preference Heterogeneity ◽

Primary Data ◽

Mixed Logit Model ◽

Palm Tree ◽

Bahir Dar ◽

Environmental Amenities ◽

Attribute Levels

This study estimates the economic value of local environmental amenities in Bahir Dar city which is one of the tourist attraction sites in Ethiopia. The study employed choice experiment valuation method by identifying four environmental amenities attributes (Lake Tana, urban park, palm tree and street cleanliness). The study used probability multi-stage random sampling technique. The analysis was based on primary data surveyed from households in Bahir Dar city. The study presented nine choices set for each respondent; each choice set has three alternatives including the status quo option. The study employed a mixed logit model. The result showed that all improved attribute levels have positive signs and statistically significant. As expected and consistent with economic theory the monetary cost has negative signs and significant. The mixed logit model showed that there is preference heterogeneity in some attribute levels. Based on the finding, the study recommends that the city administration and the concerned body expected to implement the hypothetical policy scenario so as to improve environmental amenity.

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Economic analysis of strategic control program (5, 8, 11) for gastrointestinal nematodes in grazing beef cattle during the growing phase in Central Brazil

Semina Ciências Agrárias ◽

10.5433/1679-0359.2019v40n5supl1p2309 ◽

2019 ◽

Vol 40 (5Supl1) ◽

pp. 2309 ◽

Cited By ~ 1

Author(s):

Mário Henrique Conde ◽

Rafael Pereira Heckler ◽

Dyego Gonçalves Lino Borges ◽

Valter Joost Van Onselen ◽

Ricardo Carneiro Brumatti ◽

...

Keyword(s):

Standard Deviation ◽

Beef Cattle ◽

Control Program ◽

Gastrointestinal Nematodes ◽

Study Data ◽

Strategic Control ◽

Stock Valuation ◽

Central Brazil ◽

Operational Result ◽

The Mean

This study aimed to analyze economically different control protocols for beef cattle gastrointestinal nematodes in Brazil. Field study data previously published was used to compare three groups: 1) non-dosed; 2) current deworming program with two doses - May and November; and 3) alternative strategic control program with three doses - May, August, and November. An economic sensitivity analysis was performed based on beef carcass price (BCP) variation, thus creating three economic scenarios: 1) more probable (M) using the mean BCP in the studied region; 2) optimistic (O) using the mean BCP plus standard deviation; and 3) pessimistic (P) using the mean BCP minus standard deviation. Stock valuation (SV), operational result (OP), and treatment differential (TD) were calculated for each scenario. Average BCP was US$ 2.93 kg-1 carcass (± US$ 0.27 kg-1 carcass). The mean annual cost of deworming per animal was US$ 5.43 and US$ 7.97 for protocols with two and three doses, respectively. The cost of anthelmintic treatment represented 0.63% and 0.74% of operating results, both in M scenario. TD ranged from 9.5% to 27.6% for the assessed protocols. Regardless of the scenario, the protocol with three annual dosages presented the highest SV and OP, which economically justifies its implementation in strategic control of gastrointestinal nematodes in grazing beef cattle in Central Brazil. These results also demonstrate the relevance of strategic anthelmintic treatments in weaned stocker calves in tropical and humid subtropical areas.

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