A time series analysis of federal budget policy
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Robert B. Litterman, 1979. "Techniques of forecasting using vector autoregressions," Working Papers 115, Federal Reserve Bank of Minneapolis.
- John Bryant & Neil Wallace, 1980. "A suggestion for further simplifying the theory of money," Staff Report 62, Federal Reserve Bank of Minneapolis.
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.- Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018.
"Bayesian Vector Autoregressions,"
The Warwick Economics Research Paper Series (TWERPS)
1159, University of Warwick, Department of Economics.
- Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
- Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Working Papers hal-03458277, HAL.
- Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian Vector Autoregressions," Discussion Papers 1808, Centre for Macroeconomics (CFM).
- Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Sciences Po Economics Publications (main) hal-03458277, HAL.
- Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Bank of England working papers 756, Bank of England.
- Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Documents de Travail de l'OFCE 2018-18, Observatoire Francais des Conjonctures Economiques (OFCE).
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022.
"How is machine learning useful for macroeconomic forecasting?,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & St'ephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Papers 2008.12477, arXiv.org.
- Jean-Pierre Allegret & Alain Sand-Zantman, 2009. "Does a Monetary Union protect again shocks? An assessment of Latin American integration," Post-Print halshs-00371069, HAL.
- Gediminas Adomavicius & Jesse Bockstedt & Alok Gupta, 2012. "Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression," Information Systems Research, INFORMS, vol. 23(2), pages 397-417, June.
- Starck, Christian, 1991. "Specifying a Bayesian vector autoregression for short-run macroeconomic forecasting with an application to Finland," Research Discussion Papers 4/1991, Bank of Finland.
- Espinosa Acuña, Óscar A. & Vaca González, Paola A. & Avila Forero, Raúl A., 2013. "Elasticidades de demanda por electricidad e impactos macroecon_omicos del precio de la energía eléctrica en Colombia || Elasticity of Electricity Demand and Macroeconomics Impacts of Electricity Price," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 16(1), pages 216-249, December.
- Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2014. "Signals from the Government: Policy Uncertainty and the Transmission of Fiscal Shocks," MPRA Paper 56136, University Library of Munich, Germany.
- Jean-Pierre Allegret & Alain Sand-Zantman, 2008.
"Monetary Integration Issues in Latin America: A Multivariate Assessment,"
Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 55(3), pages 279-308, September.
- Jean-Pierre Allegret & Alain Sand-Zantman, 2008. "Monetary Integration Issues in Latin America: a multivariate assessment," Post-Print halshs-00353356, HAL.
- Ford, Stephen A., 1986. "An Application Of Bayesian Vector Autoregression To The U.S. Turkey Market," Staff Papers 13982, University of Minnesota, Department of Applied Economics.
- Moratis, George, 2021. "Quantifying the spillover effect in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 38(C).
- Ho, Paul, 2023.
"Global robust Bayesian analysis in large models,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
- Paul Ho, 2019. "Global Robust Bayesian Analysis in Large Models," 2019 Meeting Papers 390, Society for Economic Dynamics.
- Paul Ho, 2020. "Global Robust Bayesian Analysis in Large Models," Working Paper 20-07, Federal Reserve Bank of Richmond.
- Tadashi Yamada, 1985. "The Crime Rate and the Condition of the Labor Market: A Vector Autoregressive Model," NBER Working Papers 1782, National Bureau of Economic Research, Inc.
- Preston J. Miller & Thomas M. Supel & Thomas H. Turner, 1980. "Estimating the effects of the oil-price shock," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 4(Win).
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022.
"Nowcasting with large Bayesian vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
- Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
- Angela Capolongo & Claudia Pacella, 2021.
"Forecasting inflation in the euro area: countries matter!,"
Empirical Economics, Springer, vol. 61(5), pages 2477-2499, November.
- Angela Capolongo & Claudia Pacella, 2019. "Forecasting inflation in the euro area: countries matter!," Temi di discussione (Economic working papers) 1224, Bank of Italy, Economic Research and International Relations Area.
- Mr. Matteo Ciccarelli & Mr. Alessandro Rebucci, 2003. "Bayesian Vars: A Survey of the Recent Literature with An Application to the European Monetary System," IMF Working Papers 2003/102, International Monetary Fund.
- Samuel N. Cohen & Giulia Mantoan & Lars Nesheim & 'Aureo de Paula & Arthur Turrell & Lingyi Yang, 2023. "Nowcasting using regression on signatures," Papers 2305.10256, arXiv.org, revised Dec 2025.
- Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2016.
"Signals from the government: Policy disagreement and the transmission of fiscal shocks,"
Journal of Monetary Economics, Elsevier, vol. 82(C), pages 107-118.
- Cimadomo, Jacopo & Callegari, Giovanni & Ricco, Giovanni, 2016. "Signals from the government: policy disagreement and the transmission of fiscal shocks," Working Paper Series 1964, European Central Bank.
- Lars Peter Hansen & Thomas J. Sargent, 1981. "Exact linear rational expectations models: specification and estimation," Staff Report 71, Federal Reserve Bank of Minneapolis.
- Paul A. Anderson, 1979. "Help for the regional economic forecaster: vector autoregression," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 3(Sum).
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:fip:fedmwp:213. 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: Kate Hansel (email available below). General contact details of provider: https://edirc.repec.org/data/cfrbmus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/fip/fedmwp/213.html