A change-point analysis of food price shocks

Climate Risk Management - Tập 27 - Trang 100208 - 2020
Chrisovaladis Malesios, Nikoleta Jones1, Aled Jones1
1Global Sustainability Institute, Anglia Ruskin University, East Road, Cambridge CB1 1PT, UK

Tài liệu tham khảo

Barnett, Vic; Lewis, Toby (1994). Outliers in Statistical Data (3 ed.), Wiley, ISBN 978 0-471 93094-5. Box, 2015 Buguk, 2003, Price volatility spillover in agricultural markets: an examination of US Catfish Markets, J. Agricult. Resour. Econ., 28, 86 Challinor, A., Adger, W.N., Di Mauro, M., Baylis, M., Benton, T., Conway, D., Depledge, D., Geddes, A., McCorriston, S., Stringer, L., and Wellesley, L., 2016, UK Climate Change Risk Assessment Evidence Report: Chapter 7, International Dimensions. Report prepared for the Adaptation Sub-Committee of the Committee on Climate Change, London. Leys, 2013, Detecting outliers: do not use standard deviation around the mean, use absolute deviation around the median, J. Exp. Soc. Psychol., 49, 764, 10.1016/j.jesp.2013.03.013 Cramer, W., G.W. Yohe, M. Auffhammer, C. Huggel, U. Molau, M.A.F. da Silva Dias, A. Solow, D.A. Stone, and L. Tibig, 2014: Detection and attribution of observed impacts. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. In: Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L. White (eds.). Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 979–1037. Durbin, J. and Koopman, S.J. (2012). Time series analysis by state space methods, volume 38. OUP Oxford, 2012. European Commission-Directorate General for Agriculture (2004) The meat sector in the European Union, Available at: https://ec.europa.eu/agriculture/publi/fact/meat/2004_en.pdf. European Union (2018) Price developments in the EU. Available at: https://ec.europa.eu/agriculture/sites/agriculture/files/statistics/facts-figures/price-developments.pdf. FAO, 2009. What happened to world food prices and why? The state of agricultural commodity markets, Available at: http://www.fao.org/3/i0854e/i0854e01.pdf. GATT report, 1992 International markes for meat 1992/1993, Source: https://www.wto.org/Gatt_docs/English/SULPDF/91680142.pdf. Hansen, B. 2001. The new econometrics of structural change: Dating breaks in U.S. labour productivity. J. Econ. Perspect. 15:117-128, 2001. Headey, 2008, Anatomy of a crisis: the causes and consequences of surging food prices, Agric. Econ., 39, 375, 10.1111/j.1574-0862.2008.00345.x Hemme M. et al., 2013, Overview on milk prices and production costs world wide, IFCN Dairy Research Centre, available at: https://www.groupedebruges.eu/sites/default/files/publications/downloads/press-release-ifcn-dairy-report-2013_-_overview_on_milk_prices_worldwide.pdf. Hodge, 2004, Artif. Intellig. Rev., 22, 85, 10.1023/B:AIRE.0000045502.10941.a9 Huber, 1981 IBM Corp. Released, 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp. Reeves, 2007, A review and comparison of changepoint detection techniques for climate data, J. Appl. Meteorol. Climatol., 46, 900, 10.1175/JAM2493.1 Jones, 2015 Jones, 2016, Historic food production shocks: quantifying the extremes, Sustainability, 8, 427, 10.3390/su8050427 Korkas, 2017, Multiple change-point detection for nonstationary time series using wild binary segmentation, Statistica Sinica, 27, 287 Lunt, 2016, Vulnerabilities to agricultural production shocks: an extreme, plausible scenario for assessment of risk for the insurance sector, Climate Risk Management, 13, 1, 10.1016/j.crm.2016.05.001 Maddala, G.S. 1992. “Outliers”. Introduction to Econometrics (2nd ed.). New York: MacMillan. pp. 88–96 [p. 89]. ISBN 978-0-02-374545-4. An outlier is an observation that is ar removed from the rest of the observations. Makridakis, 1983 Martin, 2012, Export restrictions and price insulation during commodity price booms, Am. J. Agricult. Econ., 94, 422, 10.1093/ajae/aar105 McConnell, 2010 McLaughlin, 1984 Mercurio, 2004, Statistical inference for time-inhomogeneous volatility models, Ann. Inst. Stat. Math., 32, 577 Morgan N., Tallard G (year). Cattle and Beef international commodity profile. Background paper for the Competitive Commercial Agrilculture in Sub-Saharan Africa (CCAA) study, Available at: http://siteresources.worldbank.org/INTAFRICA/Resources/257994-1215457178567/Cattle_and_beef_profile.pdf. Natalini, 2015, Quantitative assessment of approaches to measuring likelihood of food riots in countries, Sustainability, 7, 4360, 10.3390/su7044360 Natcher W.C., Weaver R.D. 1999. The transmission of price volatility in the beef markets: A multivariate approach. Paper presented at the 1999 AAEA Annual meeting, August 8-11, 1999, Nashville, Tennessee. Available at: https://core.ac.uk/download/pdf/7066657.pdf. Nelson G.C., Rosegrant M.W., Palazzo A., Gray I., Ingersoll C., Robertson R., Tokgoz S., Zhu T., Sulser T.B., Ringler C., Msangi S., You L., 2010, Food security, farming, and climate change to 2050: challenges to 2050 and beyond. IFPRI Issue Brief No. 66. Washington DC, USA: International Food Policy Research Institute (IFPRI). OECD-FAO (2011). OECD-FAO Agricultural Outlook 2011-2020. OECD Publishing and FAO. http://dx.doi.org/10.1787/agr_outlook-2011-en. Olah, 2017, The role of biofuelds in commodity prices volatility and land use, J. Compet., 9, 81 Olshen, 2004, Circular binarysegmentation for the analysis of array-based DNA copy number data, Biostatistics, 5, 557, 10.1093/biostatistics/kxh008 Piesse, 2009, Three bubbles and a panic: an explanatory review of recent food commodity price events, Food Policy, 34, 119, 10.1016/j.foodpol.2009.01.001 Prakash, 2011, Rising vulnerability in the global food system: beyond market fundamentals Priyati R.Y., Tyers R., 2016. Price relationships in vegetable oil and energy markets. Discussion paper 16.11, The University of Western Australia, Available here: https://tind-customer-agecon.s3.amazonaws.com/269b381d-be36-4fcc-a422-0c2de4cbeefb?response-content-disposition=inline%3B%20filename%3D%2204WorldSugarPrice.pdf%22&response-content-type=application%2Fpdf&AWSAccessKeyId=AKIAXL7W7Q3XHXDVDQYS&Expires=1558018759&Signature=q%2B90GDV3Y1lAvII6mx3j6sGcdeQ%3D. Quiggin J. 2007. Drought, climate change and food prices in Australia. Available at: https://d3n8a8pro7vhmx.cloudfront.net/auscon/pages/1345/attachments/original/1474000113/Climate_change_and_food_prices_in_Australia.pdf. R Core Team, 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/. Renwick A., Philippidis G., Lang B., Reader M., (2011) Assessment of the impapcts of the 2006 EU sugar regime reforms. Final report prepared for DEFRA, Available at https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=24&ved=2ahUKEwiqjtOg46DiAhXBuHEKHcCDBDw4ChAWMA16BAgAEAI&url=http%3A%2F%2Frandd.defra.gov.uk%2FDocument.aspx%3FDocument%3DSugarFinalReportRevised.pdf&usg=AOvVaw1UgfmXPx8BRxefllbRDhe1. Roberts, M.J., Tran, A.N., 2013, Did Rapid Growth of Ethanol Production in the US Affect Global Food Price Volatility? OreCal Issues Brief No. 010. Rosillo-Calle F., Pelkmans L., Walter A. 2009. A global overview of vegetable oils, with reference to biodiesel, A report for the IEA Bioenergy Task 40. Available at: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.508.5759&rep=rep1&type=pdf. Rousseeuw, 1993, Alternatives to the median absolute deviation, J. Am. Statist. Assoc., 88, 1273, 10.1080/01621459.1993.10476408 Scott, 1974, A Cluster Analysis Method for Grouping Means in the Analysis of Variance, Biometrics, 30, 507, 10.2307/2529204 Sen, 1975, On Tests for Detecting Change in Mean, The Annals of Statistics, 3, 98, 10.1214/aos/1176343001 Serra, 2013, Price volatility in food markets: can stock building mitigate price fluctuations?, Eur. Rev. Agricul. Econ., 40, 507, 10.1093/erae/jbs041 Swain, 2018, Development of an ARIMA Model for Monthly Rainfall Forecasting over Khordha District, Odisha, India. Recent Findings in Intelligent Computing Techniques (Advances in Intelligent Systems and Computing, Adv. Intellig. Syst. Comput., 708, 325, 10.1007/978-981-10-8636-6_34 Trostle R., Marti D., Rosen S., Westcott P. 2011. Why have food commodity prices risen again? Report rom the Economic Research Service, WRS-1103, United States Department of Agriculture. Wright, B.D., 2009, International Grain Reserves and Other Instruments to Address Volatility in Grain Markets (Policy Research Working Paper No. 5028), The World Bank Europe and Central Asia Region, Agricultural and Rural Development Unit Development Research Group, Trade and Integration Team United Nations, Food and Agriculture Organization. Winters, 1960, Forecasting sales by exponentially weighted moving averages, Manage. Sci., 6, 324, 10.1287/mnsc.6.3.324 Zhang, 2011, China's success in increasing per capita food production, J. Exp. Bot., 62, 3707, 10.1093/jxb/err132