Checo, Ariadne and Mejía, Mariam and Ramírez, Francisco A. (2017): El rol de los regímenes de precipitaciones sobre la dinámica de precios y actividad del sector agropecuario de la República Dominicana durante el período 2000-2016.
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Abstract
We assess the impact of extreme variations in rainfalls on consumer prices and agricultural economic activity during the period of 2000 - 2016. Using historical records on rainfall at national level and time series techniques, we identify important effects of droughts over price dynamics and moderate effects on agricultural value added growth. Relative to the events of rainfall excess, we find evidence of a relevant negative effect on sectorial value added, nevertheless we do not observe any significant influence on food prices.
Item Type: | MPRA Paper |
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Original Title: | El rol de los regímenes de precipitaciones sobre la dinámica de precios y actividad del sector agropecuario de la República Dominicana durante el período 2000-2016 |
English Title: | The role of rainfall regimes on agricultural sector price and activity dynamics in the Dominican Republic during the period 2000 - 2016. |
Language: | Spanish |
Keywords: | Business cycles, inflation, rainfall. |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C31 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions ; Social Interaction Models C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q54 - Climate ; Natural Disasters and Their Management ; Global Warming |
Item ID: | 80301 |
Depositing User: | Francisco A. Ramírez |
Date Deposited: | 21 Jul 2017 15:04 |
Last Modified: | 01 Oct 2019 16:09 |
References: | Avella, R. (2001). “Efecto de las Sequías sobre la Inflación en Colombia” Borradores de Economía 183. Banco de la República de Colombia. Banco Mundial. Estudio de Factibilidad de Seguro Agrícola por índices para República Dominicana. Informe de Avance: Seguro de Índices a nivel macro, abril 2013. Breusch, T. (1978). “Testing for autocorrelation in dynamic linear models”. Australian Economic Papers 17: 334–355. Brunner, A. D. (2002). El Nino and World Primary Commodity Prices: Warm Water or Hot Air? Review of Economics and Statistics 84(1), 176–183. Cashin, P.; K. Mohaddes y M. Raissi. (2015). “Fair Weather or Foul? The Macroeconomic Effects of El Niño” IMF Working Paper WP/15/89. Fondo Monetario Internacional. Centella A, et al. (2006). La sequía meteorológica y agrícola en la República de Cuba y la República Dominicana. Proyecto PNUD/ACDI y Proyecto PNUD/GEF. Dell, Melissa, B. F. Jones, y B. A. Olken. (2012). “Temperature Shocks and Economic Growth: Evidence from the Last Half Century.” American Economic Journal: Macroeconomics 4 (3): 66–95. Dell, M., B. F. Jones, y B. A. Olken (2014). “What Do We Learn from the Weather? The New Climate-Economy Literature”. Journal of Economic Literature 52(3), 740–98. Efron, B. y R.J. Tibshirani. (1993). “An Introduction to the Bootstrap”, Chapman & Hall, New York. Gathara, S. et al. (2006). World Meteorological Organization. Impacts of desertification and drought and other extreme meteorological events. World Meteorological Organization. Godfrey, L. G. (1978). “Testing against general autoregressive and moving average error models when the regressors include lagged dependent variables”, Econometrica 46: 1293–1302. Hsiang, S. M., K. C. Meng, y M. A. Cane (2011). “Civil Conflicts are Associated with the Global Climate”. Nature 476, 438–441. Hsiang, S.M., K.C. Meng. (2015). “Tropical Economics”. American Economic Review, Papers & Proceedings, 105(5): 257–261. Iizumi, T., J.-J. Luo, A. J. Challinor, G. Sakurai, M. Yokozawa, H. Sakuma, M. E. Brown, y T. Yamagata (2014). “Impacts of El Niño Southern Oscillation on the Global Yields of Major Crops”. Nature Communications, Vol. 5. Kovats, R.S. y S. Hajat (2008). “Heat stress and public health: a critical review” Annual Review of Public Health.; 29:41-55. Mariano, R.S. y Murasawa, Y. (2003). “A New Coincident Index of Business Cycles Based on Monthly and Quarterly Series” Journal of Applied Econometrics , Vol. 18, No. 4, 427-443. Mayorga, R. Márquez y Hurtado, G. (2006). La sequía en Colombia. Nota Técnica del IDEAM. IDEAM–METEO/004-2006. Instituto de Hidrología, Meteorología y Estudios Ambientales. McKee, T. B., N. J. Doesken, y J. Kleist, (1993). “The relationship of drought frequency and duration of time scales”. Eighth Conference on Applied Climatology, American Meteorological Society, Jan17-23, 1993, Anaheim CA, pp.179-186. McKee, T. B., N. J. Doesken, y J. Kleist, (1995). “Drought monitoring with multiple time scales”. Ninth Conference on Applied Climatology, American Meteorological Society, Jan15-20, 1995, Dallas TX, pp.233-236. Lutkepolhl, H. y M. Kratzig,(Editores) (2004). “Applied Time Series Econometrics” Themes in Modern Econometrics. Cambdridge University Press. Podestá, G et al. (2016). Descripción de índices para el monitoreo de sequía meteorológica implementados por el Centro Regional del Clima para el Sur de América del Sur. Serie Reportes Técnicos – Reporte Técnico CRC-SAS-2015-001. Tack, J., y D. Ubilava. (2015). “Climate and agricultural risk: measuring the effect of ENSO on U.S. crop insurance. Agricultural Economics”. 46(2), 245-257. Tol, R. S. J. (2009). “The Economic Effects of Climate Change”. Journal of Economic Perspectives 23(2), 29–5. Ubilava, D. (2012). “El Niño, La Niña, and World Coffee Price Dynamics”. Agricultural Economics 43(1), 17–26. Fondo Monetario Internacional, “¿Ha vuelto la inflación? Precios de las materias primas e inflación”, World Economic Outlook, octubre 2008. World Metereological Organization. Standardized Precipitation Index, user guide. WMO-No. 1090. 2012. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/80301 |