World Journal of Agricultural Research
ISSN (Print): 2333-0643 ISSN (Online): 2333-0678 Website: http://www.sciepub.com/journal/wjar Editor-in-chief: Rener Luciano de Souza Ferraz
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World Journal of Agricultural Research. 2014, 2(6), 296-302
DOI: 10.12691/wjar-2-6-9
Open AccessArticle

Food Prices Volatility in Rwanda: A VAR Model

HABYARIMANA Jean Baptiste1, , MUNYEMANA Emmanuel2 and IMPETA Fred Bashir3

1Statistics Service, Ministry of Agricultural & Animal Resources, Kigali, Rwanda

2Research & Statistics, Ministry of Justice, Kigali, Rwanda

3MSc in Economics Scholar, University of Rwanda, Kigali, Rwanda

Pub. Date: December 23, 2014

Cite this paper:
HABYARIMANA Jean Baptiste, MUNYEMANA Emmanuel and IMPETA Fred Bashir. Food Prices Volatility in Rwanda: A VAR Model. World Journal of Agricultural Research. 2014; 2(6):296-302. doi: 10.12691/wjar-2-6-9

Abstract

Market is the main arbiter of how the available food is distributed both within and between countries. Food price volatility informs consumers and price analysts on the availability of food in the region. Food price surges reduce purchasing power of households that are weekly linked to markets and remain obstacle in the way to feed the poor adequately. Thus, Food price surges lead poor people to limit their food consumption and shift to even less-balanced diets, with harmful effects on health in the short and long run. Applying a Vector Autoregressive Model that combines monthly price information on Sorghum, Maize, Rice, Wheat, Irish Potato, and Beans from January, 2007 to December, 2013, this paper tries to forecast food prices volatility in Rwanda and to find out which food commodities’ price volatility granger cause price volatility in the other food commodities. In the light of the government of Rwanda efforts aimed to ensure food security to its population, food price volatility could capture the attention of the government of Rwanda. Therefore, food price policies should be oriented to the stabilization of price of food commodities which price volatility granger cause price volatility in the other food commodities.

Keywords:
food prices volatility granger causality and food prices impulse responses

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References:

[1]  Alderman, H. (1992), Incomes and Food Security in Ghana. Cornell Food and Nutrition policy program. Washington, DC.
 
[2]  Bernhard Troester (2012) The determinants of the recent food price surges: A basic supply and demand model. Working Paper. University of Applied Sciences. Hochschule für Technik und Wirtschaft Berlin (HTW).
 
[3]  Bruce E. Hansen (2013) Econometrics. University of Wisconsin.
 
[4]  Bryce Cooke and Miguel Robles (2009). Recent Food Prices Movements: A time Series Analysis. IFPRI Discussion Paper No. 000942.
 
[5]  Chris Brooks (2008) Introductory Econometrics for Finance. 2nd Edition. Cambridge University Press.
 
[6]  Hanawa Peterson and William G. Tomek (2000) Implication od Deflating Commodity Prices for Time Series Analysis. Paper. Chicago.
 
[7]  ISSER, Institute of Statistic, Social and Economic Research (2008). State of the Ghanaian Economy University of Ghana-legon.
 
[8]  John K. M. Kuwornu (2011) Analysis of Foodstuff Price Volatility in Ghana: Implications for Food Security. European Journal of Business and Management. ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol. 3, No. 4, 2011.
 
[9]  Lovendal, C. R., Jakobsen, K. T., and Jacque, A. (2007). Food Prices and Food Security in Trinidad and Tobago. Agricultural Development Economics Division. Food and Agricultural Organization. ESA Working paper No. 07-27.
 
[10]  M. Bruna Zolin and Bernadette Andreosso-O’Callaghan (2010) Long-term cereal price changes: how important is the speculative element1. Working Paper s. Department of Economics. Ca’ Foscari University o f Venice.
 
[11]  MINAGRI, NISR, et al (2009) Comprehensive Food Security and Vulnerability Analysis and Nutrition Survey. Government of Rwanda.
 
[12]  MINAGRI, NISR, et al (2011) Enquête Intégrale sur les Conditions de Vie des Ménages. Government of Rwanda.
 
[13]  MINAGRI, NISRR, et al (2012) Comprehensive Food Security and Vulnerability Analysis and Nutrition Survey. Government of Rwanda.
 
[14]  NISR, National Institute of Statistics of Rwanda (2011) GDP-National Accounts. Government of Rwanda.
 
[15]  NISR, National Institute of Statistics of Rwanda, et al (2012) 2012 Population and Housing Census. Provision Results. Government of Rwanda.
 
[16]  Parry, M. Rosenzweig, C. and Livermor, M. (2005), Climate Change, Global Food supply and Risk of Hunger. Philosophical Transactions of the Royal Society B. 360 (1463) 2125-2138.
 
[17]  Philip Kostov and John Lingard () Seasonally specific model analysis of UK cereals prices. United Kingdom
 
[18]  Shahidur Rashid (2011) Intercommodity Price Transmission and Food Price Policies: An Analysis of Ethiopian Cereal Markets. Working Paper 22.
 
[19]  Shively, G. E. (1996). Food Price variability and Economic Reform: An ARCH Approach for Ghana. American Journal of Agricultural Economics, 78 (1) 126-136.
 
[20]  Sinha, R. (1976), Food and Poverty. Croom Helm London. 1976.
 
[21]  Willard G. Manning and John Mullahy (2001) Estimating log models: to transform or not to transform? Journal of Health Economics 20 (2001) 461-494.
 
[22]  Xiangyu Tang, Chunyu Yang, Jie Zhou (2009) Stock Price Forecasting by Combining News Mining and Time Series Analysis.