Detecting Islamic Calendar Effects on U.S. Meat Consumption: Is the Muslim Population Larger than Widely Assumed?
AbstractBy employing a parsimonious econometric approach, based on an ARIMA model, this study detects significant Islamic calendar effects on U.S. meat consumption. This surprising finding strengthens the assumption that the size of the Muslim community is considerably larger than assumed by U.S. authorities and NGOs. This study fills a gap in the existing literature which has not addressed this issue with such an approach before. Furthermore, this study suggests considering Islamic festivities for the seasonal adjustment of U.S. time series data.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 41554.
Date of creation: 03 Mar 2012
Date of revision:
ARIMA; Calendar Effects; Islamic Festivities; Muslims; Seasonal Adjustment;
Find related papers by JEL classification:
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-10-06 (All new papers)
- NEP-ARA-2012-10-06 (MENA - Middle East & North Africa)
- NEP-CWA-2012-10-06 (Central & Western Asia)
- NEP-MAC-2012-10-06 (Macroeconomics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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"Seasonal, Integration And Cointegration,"
6-88-2, Pennsylvania State - Department of Economics.
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- Domenico Depalo, 2009. "A seasonal unit-root test with Stata," Stata Journal, StataCorp LP, vol. 9(3), pages 422-438, September.
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