scholarly journals Selection Effects in Producer-Price Setting

2014 ◽  
Author(s):  
Mikael Carlsson
Keyword(s):  
Selection Effects ◽  
Price Setting ◽  
Producer Price

Price Setting in the Euro Area: Some Stylized Facts from Individual Producer Price Data

2012 ◽  
Vol 44 (8) ◽  
pp. 1631-1650 ◽  
Author(s):  
PHILIP VERMEULEN ◽  
DANIEL A. DIAS ◽  
MAARTEN DOSSCHE ◽  
ERWAN GAUTIER ◽  
IGNACIO HERNANDO ◽  
...  
Keyword(s):  
Euro Area ◽  
Price Setting ◽  
Stylized Facts ◽  
Producer Price ◽  
Price Data

scholarly journals Price Setting in the Euro Area : Some Stylised Facts from Individual Producer Price Data

2007 ◽  
Author(s):  
Philip Vermeulen ◽  
Daniel Dias ◽  
Maarten Dossche ◽  
Erwan Gautier ◽  
Ignacio Hernando ◽  
...  
Keyword(s):  
Euro Area ◽  
Price Setting ◽  
Producer Price ◽  
Price Data

Price Setting in the Euro Area: Some Stylised Facts from Individual Producer Price

2007 ◽  
Author(s):  
Philip Vermeulen ◽  
Daniel Dias ◽  
Maarten Dossche ◽  
Erwan Gautier ◽  
Ignacio Hernando ◽  
...  
Keyword(s):  
Euro Area ◽  
Price Setting ◽  
Producer Price

scholarly journals Price Setting in the Euro Area: Some Stylised Facts from Individual Producer Price Data

2007 ◽  
Author(s):  
Daniel Dias ◽  
Maarten Dossche ◽  
Erwan Gautier ◽  
Ignacio Hernando ◽  
Roberto Sabbatini ◽  
...  
Keyword(s):  
Euro Area ◽  
Price Setting ◽  
Producer Price ◽  
Price Data

scholarly journals Price Setting in the Euro Area: Some Stylised Facts from Individual Producer Price Data

2007 ◽  
Author(s):  
Philip Vermeulen ◽  
Daniel Dias ◽  
Maarten Dossche ◽  
Erwan Gautier ◽  
Ignacio Hernando ◽  
...  
Keyword(s):  
Euro Area ◽  
Price Setting ◽  
Producer Price ◽  
Price Data

scholarly journals Price Setting in the Euro Area: Some Stylised Facts from Individual Producer Price Data

2007 ◽  
Author(s):  
Philip Vermeulen ◽  
Daniel Dias ◽  
Maarten Dossche ◽  
Erwan Gautier ◽  
Ignacio Hernando ◽  
...  
Keyword(s):  
Euro Area ◽  
Price Setting ◽  
Producer Price ◽  
Price Data

On the Mathematical Basis of Zelen’s Prerandomized Designs

1985 ◽  
Vol 24 (03) ◽  
pp. 120-130 ◽  
Author(s):  
E. Brunner ◽  
N. Neumann
Keyword(s):  
Clinical Trial ◽  
Normal Distribution ◽  
Random Variables ◽  
Small Samples ◽  
Selection Effects ◽  
Sample Sizes ◽  
Mathematical Basis ◽  
Additional Assumptions

SummaryThe mathematical basis of Zelen’s suggestion [4] of pre randomizing patients in a clinical trial and then asking them for their consent is investigated. The first problem is to estimate the therapy and selection effects. In the simple prerandomized design (PRD) this is possible without any problems. Similar observations have been made by Anbar [1] and McHugh [3]. However, for the double PRD additional assumptions are needed in order to render therapy and selection effects estimable. The second problem is to determine the distribution of the statistics. It has to be taken into consideration that the sample sizes are random variables in the PRDs. This is why the distribution of the statistics can only be determined asymptotically, even under the assumption of normal distribution. The behaviour of the statistics for small samples is investigated by means of simulations, where the statistics considered in the present paper are compared with the statistics suggested by Ihm [2]. It turns out that the statistics suggested in [2] may lead to anticonservative decisions, whereas the “canonical statistics” suggested by Zelen [4] and considered in the present paper keep the level quite well or may lead to slightly conservative decisions, if there are considerable selection effects.

Contract Growing for the Export-oriented Cut Flowers Industry in Turkey

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 531a-531 ◽  
Author(s):  
Robin G. Brumfield ◽  
Burhan Ozkan ◽  
Osman Karagüzel
Keyword(s):  
Performance Indicators ◽  
Price Setting ◽  
Production Structure ◽  
Cut Flower ◽  
Cut Flowers ◽  
Product Price ◽  
Plant Materials ◽  
Flower Production ◽  
Specific Performance ◽  
Insight Into

Thirty cut flower businesses were surveyed in 1997 to examine the production structure and main problems of export-oriented contract growing in Turkey. The survey was conducted in Antalya province, which is the center of export-oriented cut flower production in Turkey. The results of the research provided insight into how Turkish cut flower-contracted growers were managing some of the key areas of their operations. The study also provided the opportunity for growers to highlight their concerns about contract growing for export-oriented cut flower production. The survey showed that contract growers do not use specific performance indicators relevant to cut flower production. The product price received by the contract growers was determined by the export companies. These export companies receive flowers from growers mainly on consignment. After exporting the products, exporters periodically pay the grower, subtracting a commission for their services and other marketing expenses. Contract growers are essentially price takers in the transactions. The business procedure from production to price setting and marketing was not in the hands of the contract growers. Therefore, the trading risks are essentially borne by the contract growers. The main concerns raised by contract growers were the current consignment system, cost of the plant materials, and the late payment for the sold products.

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