scholarly journals Price Determinants of Stock-Type Horses Sold at Public Online Auctions

2020 ◽  
Vol 52 (4) ◽  
pp. 596-612
Author(s):  
Michelle L. Kibler ◽  
Jada M. Thompson
Keyword(s):  
Online Auctions ◽  
Sale Price ◽  
Online Sales ◽  
Factors Influencing ◽  
Stock Type ◽  
Price Determinants ◽  
Using Data

AbstractThere is a shift in livestock auction sales in consolidation of live markets and movement toward virtual marketplaces. We examine buyer preferences for nonracing stock-type horses sold through virtual auctions to better understand how animals are sold and their valuation. A shift towards online sales of equine has impacted the number of potential buyers through increased exposure to sale horses. Using data collected from online auctions, we estimate factors influencing propensity to sell as well as price determinants in this market platform. We find many factors contribute to the likelihood of a horse selling and to the final sale price.

119  Physical, discipline, and breed factors influence sale price between stock-type and sport-type horses sold in online auctions

2021 ◽  
Vol 100 ◽  
pp. 103582
Author(s):  
D.R. Rostad ◽  
M.B. Ashburn ◽  
S.C. Main ◽  
J.M. Thompson ◽  
M.L. Kibler ◽  
...  
Keyword(s):  
Online Auctions ◽  
Sale Price ◽  
Sport Type ◽  
Stock Type

Stock Market Prediction using Data Mining Techniques

2020 ◽  
pp. 310-313
Author(s):  
Karunesh Makker ◽  
Prince Patel ◽  
Hrishikesh Roy ◽  
Sonali Borse
Keyword(s):  
Neural Network ◽  
Stock Market ◽  
Prediction Model ◽  
Efficient Market Hypothesis ◽  
Deterministic System ◽  
Vast Number ◽  
Factors Influencing ◽  
Number Of Factors ◽  
Using Data ◽  
Robust Prediction

Stock market is a very volatile in-deterministic system with vast number of factors influencing the direction of trend on varying scales and multiple layers. Efficient Market Hypothesis (EMH) states that the market is unbeatable. This makes predicting the uptrend or downtrend a very challenging task. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle various scenarios in which investment can be beneficial. Existing techniques like sentiment analysis or neural network techniques can be too narrow in their approach and can lead to erroneous outcomes for varying scenarios. By combing both techniques, this prediction model can provide more accurate and flexible recommendations. Embedding Technical indicators will guide the investor to minimize the risk and reap better returns.

scholarly journals Analysis of Factors Influencing Effective Utilization Coefficient of Irrigation Water in the Manas River Basin

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 189
Author(s):  
Lili Yang ◽  
Tong Heng ◽  
Guang Yang ◽  
Xinchen Gu ◽  
Jiaxin Wang ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Large Scale ◽  
Grey Model ◽  
Analytic Hierarchy ◽  
Effective Utilization ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Utilization Coefficient ◽  
Using Data ◽  
Effective Use

The factors influencing the effective utilization coefficient of irrigation water are not understood well. It is usually considered that this coefficient is lower in areas with large-scale irrigation. With this background, we analyzed the effective utilization coefficient of irrigation water using the analytic hierarchy process using data from 2014 to 2019 in Shihezi City, Xinjiang. The weights of the influencing factors on the effective utilization coefficient of irrigation water in different irrigation areas were analyzed. Predictions of the coefficient’s values for different years were made by understanding the trends based on the grey model. The results show that the scale of the irrigation area is not the only factor determining the effective utilization coefficient of irrigation water. Irrigation technology, organizational integrity, crop types, water price management, local economic level, and channel seepage prevention are the most critical factors affecting the effective use of irrigation water. The grey model prediction results show that the effective utilization coefficient of farmland irrigation water will continuously increase and reach 0.7204 in 2029. This research can serve as a reference for government authorities to make scientific decisions on water-saving projects in irrigation districts in terms of management, operation, and investment.

Cycles in symbol production? A new model to explain concentration, diversity and innovation in the music industry

Popular Music ◽  
1995 ◽  
Vol 14 (1) ◽  
pp. 55-93 ◽  
Author(s):  
Michael Christianen
Keyword(s):  
Negative Correlation ◽  
Music Industry ◽  
The Other ◽  
Recording Industry ◽  
Cultural Goods ◽  
New Model ◽  
Advantages And Disadvantages ◽  
Factors Influencing ◽  
Using Data ◽  
The One

With the publication of the article ‘Cycles in symbol production’ (Peterson and Berger 1975) a discussion started concerning the advantages and disadvantages of the production of cultural goods under market conditions. The analysis by Peterson and Berger showed a negative correlation between concentration in the recording industry, on the one hand, and the diversity and innovativeness of the music, on the other. Repetition of the analysis using data from the 1980s (Burnett 1990; Lopes 1992) has shown that for this period Peterson and Berger's hypotheses should be rejected. Is there a connection between concentration and diversity and innovation? Are there cycles in symbol production? There seems to be no conclusive answer. In this article, I will attempt to clear up this matter. First, I will repeat the analysis of the relation between concentration and diversity/innovation, using the same model as Peterson and Berger, but with different definitions for the variables concentration, diversity and innovation. Then I will suggest a new model, which can be helpful in uncovering other factors influencing diversity and innovation in the music industry. I will come to that later. Let me first give the reader a brief overview of previous research.

scholarly journals An estimation of snow accumulation on Svalbard glaciers on the basis of standard weather-station observations

2005 ◽  
Vol 42 ◽  
pp. 269-276 ◽  
Author(s):  
Mariusz Grabiec
Keyword(s):  
Winter Precipitation ◽  
Snow Accumulation ◽  
Average Error ◽  
Weather Station ◽  
Simple Method ◽  
Factors Influencing ◽  
Different Types ◽  
Relevant Point ◽  
The Mean ◽  
Using Data

AbstractWinter precipitation in the form of snow is the major factor determining accumulation on Arctic glaciers. In this paper, I present a simple method to assess snow accumulation on the glaciers of Svalbard. I deduce snow accumulation from the sum of winter precipitation and the fraction of precipitation of different types at a reference weather station. The accumulation is then converted to a relevant point on the glacier, using an accumulation gradient and a location coefficient. I apply this algorithm of accumulation assessment to eight glaciers of southern and central Spitsbergen using data from 23 seasons. On the basis of measured accumulation data, the mean error of the calculated accumulation, with no distinction of precipitation types, amounted to 23%. When the distinction between precipitation types is used for glaciers of southern Spitsbergen, the average error of estimation was 19%. Errors result from factors influencing accumulation distribution over the glacier elevation profile (e.g. glacier topography, orography of its surroundings, precipitation inversion). Application of this accumulation algorithm may provide a crucial method of estimating mass balance for glaciers not included in permanent monitoring.

Socioeconomic Determinants of Early Retirement in Canada

1984 ◽  
Vol 3 (3) ◽  
pp. 105-116 ◽  
Author(s):  
P. Lynn McDonald ◽  
Richard A. Wanner
Keyword(s):  
Socioeconomic Factors ◽  
Labour Market ◽  
Early Retirement ◽  
Labour Force ◽  
Married Women ◽  
Men And Women ◽  
Factors Influencing ◽  
Using Data ◽  
Retirement Status ◽  
Mobility Study

ABSTRACTIn view of the trend toward increasing early retirement observed in Canada since the 1960's, this study attempts to determine the main socioeconomic factors influencing the decision to retire before age 65 among Canadian men and women. Using data from the 1973 Canadian Mobility Study, we estimate a series of models in which retirement is measured as both the degree of involvement in the labour force and a subjective declaration of retirement status. We conclude that those Canadians who retire early tend to be single men and married women employed by others who are better educated and whose nonearned income is higher than those who retire at a later age. As anticipated, early retirement experiences are different for men and women, reflecting the more precarious position of women in the labour market.

scholarly journals Factors Influencing the Frequency of Consumers’ Purchases of Locally-Produced Rice in Indonesia: A Poisson Regression Analysis

Agriculture ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 117 ◽  
Author(s):  
Apri Wahyudi ◽  
John K. M. Kuwornu ◽  
Endro Gunawan ◽  
Avishek Datta ◽  
Loc T. Nguyen
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Marketing Strategy ◽  
Poisson Regression ◽  
Poisson Regression Model ◽  
Poisson Regression Analysis ◽  
Empirical Results ◽  
Factors Influencing ◽  
Using Data

This study assessed the factors influencing the frequency of purchases of locally-produced rice using data collected from a sample of 400 consumers in Jakarta Province in Indonesia. The empirical results of a Poisson regression model revealed that socio-economic characteristics of the consumers (i.e., gender, age, occupation, education, and income), characteristics of the product (i.e., label and color), and the product’s price and promotion significantly influenced consumers’ frequency of purchasing locally-produced rice. The implication is that increasing the quality of locally-produced rice, applying an appropriate marketing strategy such as offering a relatively lower-priced product compared to the price of imported rice, and product promotion are necessary for increasing the frequency of consumers’ purchases of locally-produced rice.

scholarly journals Identifying Factors Influencing a Hospital's Decision to Adopt a Farm-to-Hospital Program

2013 ◽  
Vol 42 (3) ◽  
pp. 508-517 ◽  
Author(s):  
Bobby J. Smith ◽  
Harry M. Kaiser ◽  
Miguel I. Gómez
Keyword(s):  
United States ◽  
Logit Model ◽  
Food Service ◽  
Local Communities ◽  
Applied Economics ◽  
Northeastern United States ◽  
Department Of Agriculture ◽  
Factors Influencing ◽  
Using Data ◽  
The U.S

Farm-to-hospital (FTH) programs can potentially improve the economy of local communities and preserve the environment. Research on adoption of farm-to-hospital (FTH) programs is extremely limited in the agricultural and applied economics literature. Using data from our 2012 regional FTH program survey of hospital food-service directors in the Northeastern United States and from the U.S. Department of Agriculture, this study estimates a logit model to determine factors that influence a hospital's decision to adopt an FTH program. The empirical results indicate that specific hospital characteristics and agricultural factors significantly influence a hospital's decision to adopt.

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