EconPapers    
Economics at your fingertips  
 

Spatial Price Efficiency in the Urea Market

Zhepeng Hu and B Brorsen

No 285823, 2014 Conference, April 21-22, 2014, St. Louis, Missouri from NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management

Abstract: Urea fertilizer is widely used in the U.S., however, most urea is not openly traded and formula pricing is common. This study measures the efficiency of spatial urea prices in the New Orleans-Arkansas River urea market and the New Orleans-Middle East urea market. The vector error correction model (VECM) and Baulch’s (1997) parity bound model (PBM) are used. Nonlinearity testing finds no threshold effects. Thus, we do not include threshold values in our vector error correction models. Parameter estimates of vector error correction models show that violations of spatial price equilibrium are corrected faster in the Arkansas River-New Orleans urea market than the New Orleans-Middle East urea market. Results from the parity bound model show that in the New Orleans-Middle East urea market, price spreads are found greater than transportation costs in about 23% of the time. So, the New Orleans-Middle East market is a moderately inefficient market rather than a perfectly efficient market.

Keywords: Marketing (search for similar items in EconPapers)
Date: 2014-04
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/285823/files/Hu_Brorsen_NCCC-134_2014.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:n13414:285823

DOI: 10.22004/ag.econ.285823

Access Statistics for this paper

More papers in 2014 Conference, April 21-22, 2014, St. Louis, Missouri from NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-12-10
Handle: RePEc:ags:n13414:285823