Modeling weekly Canary tomato exports
Author
Abstract
Suggested Citation
DOI: 10.1111/j.1574-0864.2005.00065.x
Download full text from publisher
References listed on IDEAS
- Durbin, James & Koopman, Siem Jan, 2012.
"Time Series Analysis by State Space Methods,"
OUP Catalogue,
Oxford University Press,
edition 2, number 9780199641178.
- Durbin, James & Koopman, Siem Jan, 2001. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, number 9780198523543.
- Tom Doan, "undated". "SEASONALDLM: RATS procedure to create the matrices for the seasonal component of a DLM," Statistical Software Components RTS00251, Boston College Department of Economics.
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.- Maximilian Grimm & Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2023.
"Loose Monetary Policy and Financial Instability,"
Working Paper Series
2023-06, Federal Reserve Bank of San Francisco.
- Grimm, Maximilian & Jordà , Òscar & Schularick, Moritz & Taylor, Alan M., 2023. "Loose monetary policy and financial instability," CEPR Discussion Papers 17896, C.E.P.R. Discussion Papers.
- Maximilian Grimm & Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2023. "Loose Monetary Policy and Financial Instability," NBER Working Papers 30958, National Bureau of Economic Research, Inc.
- Victor Bystrov, 2018.
"Measuring the Natural Rates of Interest in Germany and Italy,"
Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(4), pages 333-353, December.
- Bystrov Victor, 2018. "Measuring the Natural Rates of Interest in Germany and Italy," Lodz Economics Working Papers 7/2018, University of Lodz, Faculty of Economics and Sociology.
- Yukai Yang & Luc Bauwens, 2018.
"State-Space Models on the Stiefel Manifold with a New Approach to Nonlinear Filtering,"
Econometrics, MDPI, vol. 6(4), pages 1-22, December.
- Yukai Yang & Luc Bauwens, 2018. "State-space models on the Stiefel Manifold with a new approach to nonlinear filtering," LIDAM Reprints CORE 2985, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Yukai Yang & Luc Bauwens, 2018. "State-Space Models on the Stiefel Manifold with A New Approach to Nonlinear Filtering," CREATES Research Papers 2018-30, Department of Economics and Business Economics, Aarhus University.
- Fernández-Macho, Javier, 2008. "Spectral estimation of a structural thin-plate smoothing model," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 189-195, September.
- Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
- Avanzi, Benjamin & Taylor, Greg & Vu, Phuong Anh & Wong, Bernard, 2020. "A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 50-71.
- José Luis Cendejas & Félix-Fernando Muñoz & Nadia Fernández-de-Pinedo, 2017.
"A contribution to the analysis of historical economic fluctuations (1870–2010): filtering, spurious cycles, and unobserved component modeling,"
Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(1), pages 93-125, January.
- Cendejas Bueno, José Luis & Muñoz, Félix & Fernández-de-Pinedo, Nadia, 2015. "A contribution to the analysis of historical economic fluctuations (1870-2010): filtering, spurious cycles and unobserved component modelling," Working Papers in Economic Theory 2015/04, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
- François R. Velde, 2009.
"Chronicle of a Deflation Unforetold,"
Journal of Political Economy, University of Chicago Press, vol. 117(4), pages 591-634, August.
- Francois R. Velde, 2006. "Chronicles of a deflation unforetold," Working Paper Series WP-06-12, Federal Reserve Bank of Chicago.
- Marcellino, Massimiliano & Sivec, Vasja, 2016.
"Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs,"
Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.
- Marcellino, Massimiliano & Sivec, Vasja, 2015. "Monetary, Fiscal and Oil Shocks: Evidence based on Mixed Frequency Structural FAVARs," CEPR Discussion Papers 10610, C.E.P.R. Discussion Papers.
- Chen, Peimin & Wu, Chunchi, 2014. "Default prediction with dynamic sectoral and macroeconomic frailties," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 211-226.
- Sudhanshu Kumar & Naveen Srinivasan & Muthiah Ramachandran, 2012. "A time‐varying parameter model of inflation in India," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 25-50, April.
- repec:zbw:bofitp:2019_008 is not listed on IDEAS
- Yue Zhao & Difang Wan, 2018. "Institutional high frequency trading and price discovery: Evidence from an emerging commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 243-270, February.
- Wen Xu, 2016. "Estimation of Dynamic Panel Data Models with Stochastic Volatility Using Particle Filters," Econometrics, MDPI, vol. 4(4), pages 1-13, October.
- Blasques, F. & van Brummelen, J. & Gorgi, P. & Koopman, S.J., 2024.
"A robust Beveridge–Nelson decomposition using a score-driven approach with an application,"
Economics Letters, Elsevier, vol. 236(C).
- Francisco Blasques & Janneke van Brummelen & Paolo Gorgi & Siem Jan Koopman, 2024. "A robust Beveridge-Nelson decomposition using a score-driven approach with an application," Tinbergen Institute Discussion Papers 24-003/III, Tinbergen Institute.
- Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016. "Forecasting Economic Activity with Mixed Frequency Bayesian VARs," Working Paper Series WP-2016-5, Federal Reserve Bank of Chicago.
- Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015.
"Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
- Giannone, Domenico & Bańbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," Working Paper Series 1733, European Central Bank.
- Giannone, Domenico & Banbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," CEPR Discussion Papers 9931, C.E.P.R. Discussion Papers.
- Martha Banbura & Domenico Giannone & Michèle Lenza, 2014. "Conditional Forecasts and Scenario Analysis with Vector Autoregressions for Large Cross-Sections," Working Papers ECARES ECARES 2014-15, ULB -- Universite Libre de Bruxelles.
- repec:spo:wpmain:info:hdl:2441/1904 is not listed on IDEAS
- Hári, Norbert & De Waegenaere, Anja & Melenberg, Bertrand & Nijman, Theo E., 2008. "Estimating the term structure of mortality," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 492-504, April.
- Brave, Scott A. & Gascon, Charles & Kluender, William & Walstrum, Thomas, 2021.
"Predicting benchmarked US state employment data in real time,"
International Journal of Forecasting, Elsevier, vol. 37(3), pages 1261-1275.
- Scott Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019. "Predicting Benchmarked US State Employment Data in Realtime," Working Paper Series WP 2019-11, Federal Reserve Bank of Chicago.
- Scott A. Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019. "Predicting Benchmarked US State Employment Data in Real Time," Working Papers 2019-037, Federal Reserve Bank of St. Louis, revised 11 Mar 2021.
- Drew Creal & Siem Jan Koopman & André Lucas & Marcin Zamojski, 2015. "Generalized Autoregressive Method of Moments," Tinbergen Institute Discussion Papers 15-138/III, Tinbergen Institute, revised 06 Jul 2018.
- Kim, Soohyeon & Kim, Jihyo & Heo, Eunnyeong, 2021. "Speculative incentives to hoard aluminum: Relationship between capital gains and inventories," Resources Policy, Elsevier, vol. 70(C).
Corrections
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:bla:agecon:v:33:y:2005:i:3:p:255-267. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.