Nontraded food commodity spatial price transmission: evidence from the Niger millet market
Mahamadou Tankari () and
Agricultural Economics, 2018, vol. 49, issue 2, 147-156
Using an Augmented Factor Vector Autoregressive (FAVAR) Model, this study analyzes spatial millet prices transmission in Niger. Our results did not find condition for millet markets integration existence. However, the Granger causality tests and impulse response functions from the estimated shortâ€ term dynamic as FAVAR model revealed the existence of leading markets whose millet prices affect a maximum number of other regional millet prices, while some regions seem to be isolated from trade or information flows. Furthermore, the significance of a shock depends also on the characteristics of the region where it originates in terms of millet demand or supply, indicating that the region to target and where the price shock originated matter for the policiesâ€™ success.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bla:agecon:v:49:y:2018:i:2:p:147-156
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0169-5150
Access Statistics for this article
Agricultural Economics is currently edited by W.A. Masters and G.E. Shively
More articles in Agricultural Economics from International Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().