Price efficiency in the art auction market

1991 ◽  
Vol 15 (2) ◽  
Author(s):  
M.A. Louargand ◽  
J.R. McDaniel
Keyword(s):  
Price Efficiency ◽  
Auction Market ◽  
Art Auction

scholarly journals Evidence of Auction House Influence Over Buyer Behaviour and Price Formation in the Australian Art Auction Market

2009 ◽  
Vol 3 (1) ◽  
Author(s):  
Meaghan Wilson-Anastasios
Keyword(s):  
Empirical Evidence ◽  
Art Market ◽  
Price Formation ◽  
Market Development ◽  
Auction Market ◽  
Significant Control ◽  
Auction Houses ◽  
Buyer Behaviour ◽  
Scant Attention ◽  
Art Auction

During the last six months, there has been much discussion in the general and arts media about the manifestation of problematic practices within the Australian art auction market. Although the nature of these practices has been scrutinised, scant attention has been paid to how the methods and mechanisms employed by auction houses to build business during the art market boom that commenced in the late 1990s might represent a force that could undermine the sustainability of the market. Fundamental to this is quantifying the extent to which auction houses are able to influence market development. In this paper, I present empirical evidence that suggests that major Australian auction houses can exert significant control over buyer behaviour and price formation.

scholarly journals A Note on the Chinese Artists and the Art Auction Market

2013 ◽  
Vol 27 (2) ◽  
pp. 100-119
Author(s):  
김재준 ◽  
김성언
Keyword(s):  
Auction Market ◽  
Art Auction

Machines and Masterpieces: Predicting Prices in the Art Auction Market

2019 ◽  
Author(s):  
Mathieu Aubry ◽  
Roman Kraeussl ◽  
Gustavo Manso ◽  
Christophe Spaenjers
Keyword(s):  
Auction Market ◽  
Art Auction

Insecticide Residues on 1972 U.S. Auction-Market Tobacco

1975 ◽  
Vol 8 (1) ◽  
Author(s):  
J. J. Domanski ◽  
P. L. Haire ◽  
T.J. Sheets
Keyword(s):  
Detection Limit ◽  
Auction Market ◽  
Insecticide Residues ◽  
Low Detection Limit ◽  
Average Residue ◽  
The Individual ◽  
In Fire

AbstractAverage residue Ievels of DDT + TDE in flue-cured tobacco decreased from 6.1 ppm in 1970 to 0.85 ppm in 1972. DDT + TDE residues in Burley also dropped sharply from previous levels. In 1972 one sample from Kentucky contained 8.17 ppm; all other Burley samples were less than 0.25 ppm. DDT + TDE residues also declined in fire-cured and air-cured types; of these samples Tennessee dark air-cured tobacco contained the highest average residue (3.5 ppm of DDT + TDE). In 1972 over 90 % of the flue-cured samples were positive for toxaphene. Since each of our samples was a composite of tobacco from 10 farmers, we cannot conclude from this result that 90 % of the individual piles contained toxaphene. Significant amounts of toxaphene were found in other types also; for example, 50 % of the 1972 Burley samples had toxaphene concentrations greater than 0.5 ppm. Average endosulfan levels decreased between 1970 and 1972 in flue-cured and Burley tobaccos. However, in all of the dark air and dark fire-cured samples from Tennessee endosulfan residues exceeded 5 ppm. Average endrin residues were at or near the low detection limit in alI samples except fire-cured and dark air-cured tobacco from Tennessee; these averaged 0.26 and 0.17 ppm, respectively.

PENERAPAN PENDUGAAN EFISIENSI ALOKATIF PADA USAHATANI BUNCIS (Phaseolus vulgaris, L)

2020 ◽  
Vol 21 (1) ◽  
pp. 81-90
Author(s):  
Marthen Robinson Pellokila
Keyword(s):  
Production Function ◽  
Allocative Efficiency ◽  
Maximum Output ◽  
Phaseolus Vulgaris L ◽  
Land Area ◽  
Price Efficiency ◽  
Efficiency Estimation ◽  
Area Use ◽  
A Company ◽  
Douglas Production Function

ABTRACT Efficiency is one of the important indicators to assess the performance of a company or farm. Efficiency guarantees the use of certain inputs to achieve maximum output levels (technical efficiency) and also efficiency ensures the use of certain inputs that maximize profits (price efficiency or allocative efficiency). This article discusses the application of the estimation of price efficiency / allocative efficiency of the use of production inputs in bean farming using the linearized Cobb-Douglas Production function. The results of the analysis shows that the application of price efficiency estimation for production inputs using the Cobb-Douglas production function is satisfactory as long as the classical assumptions required by the multiple regression are fulfilled. Of the five production inputs included in the model, only one production input provides a significant value to production, namely the production input for the land area use. Thus, only the production input for land area use is estimated at the value of its price efficiency. Based on the results of the analysis, it is found that the use of production inputs for land area use has not yet reached its price efficiency.

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