Do Economic Restrictions Improve Forecasts?
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Murphy, Elizabeth A. & Norwood, F. Bailey & Wohlgenant, Michael K., 2004. "Do Economic Restrictions Improve Forecasts?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(3), pages 1-10, December.
- Murphy, Elizabeth A. & Norwood, F. Bailey & Wohlgenant, Michael K., 2003. "Do Economic Restrictions Improve Forecasts?," 2003 Annual meeting, July 27-30, Montreal, Canada 22208, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Murphy, Elizabeth A. & Norwood, F. Bailey & Wohlgenant, Michael K., 2003. "Do Economic Restrictions Improve Forecasts?," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35075, Southern Agricultural Economics Association.
References listed on IDEAS
- Sawa, Takamitsu, 1978. "Information Criteria for Discriminating among Alternative Regression Models," Econometrica, Econometric Society, vol. 46(6), pages 1273-1291, November.
- Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.
- Terry L. Kastens & Gary W. Brester, 1996. "Model Selection and Forecasting Ability of Theory-Constrained Food Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 301-312.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Andrew Muhammad & Richard L. Kilmer, 2008. "The impact of EU export subsidy reductions on U.S. dairy exports," Agribusiness, John Wiley & Sons, Ltd., vol. 24(4), pages 557-574.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Norwood, F. Bailey & Lusk, Jayson L. & Brorsen, B. Wade, 2004. "Model Selection for Discrete Dependent Variables: Better Statistics for Better Steaks," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-16, December.
- Schumacher, Sara K. & Marsh, Thomas L., 2002. "Economies Of Scale In The Greenhouse Floriculture Industry," 2002 Annual Meeting, July 28-31, 2002, Long Beach, California 36577, Western Agricultural Economics Association.
- Lusk, Jayson L. & Norwood, F. Bailey & Brorsen, B. Wade, 2004. "Forecasting Limited Dependent Variables: Better Statistics For Better Steaks," 2004 Annual Meeting, February 14-18, 2004, Tulsa, Oklahoma 34612, Southern Agricultural Economics Association.
- Norwood, F. Bailey & Roberts, Matthew C. & Lusk, Jayson L., 2002. "How Are Crop Yields Distributed?," 2002 Annual meeting, July 28-31, Long Beach, CA 19733, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Khurshid Kiani & Terry Kastens, 2008. "Testing Forecast Accuracy of Foreign Exchange Rates: Predictions from Feed Forward and Various Recurrent Neural Network Architectures," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 383-406, November.
- Henry Bryant & Michael Haigh, 2004. "Bid-ask spreads in commodity futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(13), pages 923-936.
- Marczak, Martyna & Proietti, Tommaso, 2016.
"Outlier detection in structural time series models: The indicator saturation approach,"
International Journal of Forecasting, Elsevier, vol. 32(1), pages 180-202.
- Martyna Marczak & Tommaso Proietti, 2014. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," CREATES Research Papers 2014-20, Department of Economics and Business Economics, Aarhus University.
- Marczak, Martyna & Proietti, Tommaso, 2015. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113137, Verein für Socialpolitik / German Economic Association.
- Marczak, Martyna & Proietti, Tommaso, 2014. "Outlier detection in structural time series models: The indicator saturation approach," FZID Discussion Papers 90-2014, University of Hohenheim, Center for Research on Innovation and Services (FZID).
- Martyna Marczak & Tommaso Proietti, 2014. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," CEIS Research Paper 325, Tor Vergata University, CEIS, revised 08 Aug 2014.
- Imad Moosa & Kelly Burns, 2014. "Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting," Applied Economics, Taylor & Francis Journals, vol. 46(25), pages 3107-3118, September.
- Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014.
"Causality and predictability in distribution: The ethanol–food price relation revisited,"
Energy Economics, Elsevier, vol. 42(C), pages 152-160.
- Marzio GALEOTTI & Andrea BASTIANIN & Matteo MANERA, 2013. "Food versus Fuel: Causality and Predictability in Distribution," Departmental Working Papers 2013-10, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2013. "Food versus Fuel: Causality and Predictability in Distribution," Working Papers 2013.23, Fondazione Eni Enrico Mattei.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2013. "Food versus Fuel: Causality and Predictability in Distribution," IEFE Working Papers 56, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2013. "Food versus Fuel: Causality and Predictability in Distribution," Working Papers 241, University of Milano-Bicocca, Department of Economics, revised Mar 2013.
- Zapata, Hector O. & Gil, Jose M., 1999. "Cointegration and causality in international agricultural economics research," Agricultural Economics, Blackwell, vol. 20(1), pages 1-9, January.
- Stefania D'Amico, 2004. "Density Estimation and Combination under Model Ambiguity," Computing in Economics and Finance 2004 273, Society for Computational Economics.
- Parigi, Giuseppe & Golinelli, Roberto, 2005. "Short-Run Italian GDP Forecasting and Real-Time Data," CEPR Discussion Papers 5302, C.E.P.R. Discussion Papers.
- Fullerton, Thomas M. & Kelley, Brian W., 2008.
"El Paso Housing Sector Econometric Forecast Accuracy,"
Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 385-402, April.
- Fullerton, Thomas M., Jr. & Kelley, Brian W., 2008. "El Paso Housing Sector Econometric Forecast Accuracy," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(01), pages 1-18, April.
- Ye, Haichun & Ashley, Richard & Guerard, John, 2015. "Comparing the effectiveness of traditional vs. mechanized identification methods in post-sample forecasting for a macroeconomic Granger causality analysis," International Journal of Forecasting, Elsevier, vol. 31(2), pages 488-500.
- Monticini, Andrea & Ravazzolo, Francesco, 2014.
"Forecasting the intraday market price of money,"
Journal of Empirical Finance, Elsevier, vol. 29(C), pages 304-315.
- Andrea Monticini & Francesco Ravazzolo, 2011. "Forecasting the intraday market price of money," Working Paper 2011/06, Norges Bank.
- Andrea Monticini & Francesco Ravazzolo, 2014. "Forecasting the intraday market price of money," DISCE - Working Papers del Dipartimento di Economia e Finanza def010, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
- Buddhika Patalee & Glynn T. Tonsor, 2021. "Weather effects on U.S. cow‐calf production: A long‐term panel analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 37(4), pages 838-857, October.
- Rangel, José Gonzalo, 2011.
"Macroeconomic news, announcements, and stock market jump intensity dynamics,"
Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1263-1276, May.
- Rangel José Gonzalo, 2009. "Macroeconomic News, Announcements, and Stock Market Jump Intensity Dynamics," Working Papers 2009-15, Banco de México.
- Marshall, Andrew & Maulana, Tubagus & Tang, Leilei, 2009. "The estimation and determinants of emerging market country risk and the dynamic conditional correlation GARCH model," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 250-259, December.
- Francesco Ravazzolo & Joaquin L. Vespignani, 2015.
"A new monthly indicator of global real economic activity,"
Globalization Institute Working Papers
244, Federal Reserve Bank of Dallas.
- Ravazzolo, Francesco & Vespignani, Joaquin, 2015. "A new monthly indicator of global real economic activity," Working Papers 2015-07, University of Tasmania, Tasmanian School of Business and Economics.
- Francesco Ravazzolo & Joaquin L. Vespignani, 2015. "A New Monthly Indicator of Global Real Economic Activity," CAMA Working Papers 2015-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Francesco Ravazzolo & Joaquin L. Vespignani, 2015. "A New Monthly Indicator of Global Real Economic Activity," Working Papers No 2/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Francesco Ravazzolo & Joaquin L. Vespignani, 2015. "A New Monthly Indicator of Global Real Economic Activity," Working Paper 2015/06, Norges Bank.
- Atsushi Inoue & Lutz Kilian, 2005.
"In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?,"
Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 371-402.
- Inoue, Atsushi & Kilian, Lutz, 2002. "In-sample or out-of-sample tests of predictability: which one should we use?," Working Paper Series 195, European Central Bank.
- Kilian, Lutz & Inoue, Atsushi, 2002. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," CEPR Discussion Papers 3671, C.E.P.R. Discussion Papers.
More about this item
JEL classification:
- B4 - Schools of Economic Thought and Methodology - - Economic Methodology
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:jagaec:v:36:y:2004:i:03:p:549-558_02. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.