The Macroeconomic Effects of the 2018 Bipartisan Budget Act
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015.
"Prior Selection for Vector Autoregressions,"
The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
- Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2012. "Prior selection for vector autoregressions," Working Paper Series 1494, European Central Bank.
- Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2012. "Prior Selection for Vector Autoregressions," CEPR Discussion Papers 8755, C.E.P.R. Discussion Papers.
- Domenico Giannone & Michèle Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," Working Papers ECARES ECARES 2012-002, ULB -- Universite Libre de Bruxelles.
- Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," NBER Working Papers 18467, National Bureau of Economic Research, Inc.
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.- Tomas Konecny & Oxana Babecka-Kucharcukova, 2016.
"Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic,"
Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
- Konečný, Tomáš & Babecká Kucharčuková, Oxana, 2014. "Credit spreads and the links between the financial and real sectors in a small open economy: the case of the Czech Republic," Working Paper Series 1730, European Central Bank.
- Michal Franta, 2012. "Macroeconomic Effects of Fiscal Policy in the Czech Republic: Evidence Based on Various Identification Approaches in a VAR Framework," Working Papers 2012/13, Czech National Bank, Research and Statistics Department.
- Gary Koop & Dimitris Korobilis, 2019.
"Forecasting with High‐Dimensional Panel VARs,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 937-959, October.
- Gary Koop & Dimitris Korobilis, 2015. "Forecasting With High Dimensional Panel VARs," Working Papers 2015_25, Business School - Economics, University of Glasgow.
- Gary Koop & Dimitris Korobilis, 2018. "Forecasting with High-Dimensional Panel VARs," Working Paper series 18-20, Rimini Centre for Economic Analysis.
- Koop, G & Korobilis, D, 2018. "Forecasting with High-Dimensional Panel VARs," Essex Finance Centre Working Papers 21329, University of Essex, Essex Business School.
- Koop, Gary & Korobilis, Dimitris, 2015. "Forecasting with High-Dimensional Panel VARs," MPRA Paper 84275, University Library of Munich, Germany, revised 31 Jan 2018.
- Ekaterina Pirozhkova & Nicola Viegi, 2024.
"The Bank Lending Channel of Monetary Policy Transmission in South Africa,"
Working Papers
202443, University of Pretoria, Department of Economics.
- Ekaterina Pirozhkova & Nicola Viegi, 2024. "The bank lending channel of monetary policy transmission in South Africa," Working Papers 11072, South African Reserve Bank.
- Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020.
"What's Up with the Phillips Curve?,"
Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(1 (Spring), pages 301-373.
- Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020. "What’s up with the Phillips Curve?," NBER Working Papers 27003, National Bureau of Economic Research, Inc.
- Del Negro, Marco & Lenza, Michele & Primiceri, Giorgio E. & Tambalotti, Andrea, 2020. "What’s up with the Phillips Curve?," Working Paper Series 2435, European Central Bank.
- Primiceri, Giorgio & Del Negro, Marco & Lenza, Michele & Tambalotti, Andrea, 2020. "What's up with the Phillips Curve?," CEPR Discussion Papers 14583, C.E.P.R. Discussion Papers.
- William Chen & Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020. "What’s Up with the Phillips Curve?," Liberty Street Economics 20200918a, Federal Reserve Bank of New York.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2025.
"Specification Choices in Quantile Regression for Empirical Macroeconomics,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(1), pages 57-73, January.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Specification Choices in Quantile Regression for Empirical Macroeconomics," Working Papers 22-25, Federal Reserve Bank of Cleveland.
- Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2024. "Specification Choices in Quantile Regression for Empirical Macroeconomics," CEPR Discussion Papers 18901, C.E.P.R. Discussion Papers.
- Bansal, Ravi & Miller, Shane & Song, Dongho & Yaron, Amir, 2021.
"The term structure of equity risk premia,"
Journal of Financial Economics, Elsevier, vol. 142(3), pages 1209-1228.
- Ravi Bansal & Shane Miller & Dongho Song & Amir Yaron, 2019. "The Term Structure of Equity Risk Premia," NBER Working Papers 25690, National Bureau of Economic Research, Inc.
- Anttonen, Jetro, 2018. "Nowcasting the Unemployment Rate in the EU with Seasonal BVAR and Google Search Data," ETLA Working Papers 62, The Research Institute of the Finnish Economy.
- 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.
- Florian Huber & Tamás Krisztin & Philipp Piribauer, 2017.
"Forecasting Global Equity Indices Using Large Bayesian Vars,"
Bulletin of Economic Research, Wiley Blackwell, vol. 69(3), pages 288-308, July.
- Florian Huber & Tamas Krisztin & Philipp Piribauer, 2014. "Forecasting Global Equity Indices using Large Bayesian VARs," Department of Economics Working Papers wuwp184, Vienna University of Economics and Business, Department of Economics.
- Huber, Florian & Krisztin, Tamás & Piribauer, Philipp, 2014. "Forecasting Global Equity Indices Using Large Bayesian VARs," Department of Economics Working Paper Series 184, WU Vienna University of Economics and Business.
- Martinez-Martin Jaime & Morris Richard & Onorante Luca & Piersanti Fabio Massimo, 2024. "Merging Structural and Reduced-Form Models for Forecasting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 24(1), pages 399-437, January.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2023.
"Forecasting with a panel Tobit model,"
Quantitative Economics, Econometric Society, vol. 14(1), pages 117-159, January.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," NBER Working Papers 26569, National Bureau of Economic Research, Inc.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2021. "Forecasting with a Panel Tobit Model," Papers 2110.14117, arXiv.org, revised Jul 2022.
- Giannone, Domenico & Lenza, Michele & Momferatou, Daphne & Onorante, Luca, 2014.
"Short-term inflation projections: A Bayesian vector autoregressive approach,"
International Journal of Forecasting, Elsevier, vol. 30(3), pages 635-644.
- Domenico Giannone & Michèle Lenza & Daphné Momferatu & Luca Onorante, 2010. "Short-term inflation projections: a Bayesian vector autoregressive approach," Working Papers ECARES ECARES 2010-011, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Lenza, Michele & Onorante, Luca & Momferatou, Daphne, 2010. "Short-Term Inflation Projections: a Bayesian Vector Autoregressive approach," CEPR Discussion Papers 7746, C.E.P.R. Discussion Papers.
- Gupta, Rangan & Wohar, Mark, 2017.
"Forecasting oil and stock returns with a Qual VAR using over 150years off data,"
Energy Economics, Elsevier, vol. 62(C), pages 181-186.
- Rangan Gupta & Mark E. Wohar, 2015. "Forecasting Oil and Stock Returns with a Qual VAR using over 150 Years of Data," Working Papers 201589, University of Pretoria, Department of Economics.
- Del Negro, Marco & Giannone, Domenico & Giannoni, Marc P. & Tambalotti, Andrea, 2019.
"Global trends in interest rates,"
Journal of International Economics, Elsevier, vol. 118(C), pages 248-262.
- Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2018. "Global Trends in Interest Rates," NBER Chapters, in: NBER International Seminar on Macroeconomics 2018, pages 248-262, National Bureau of Economic Research, Inc.
- Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2018. "Global trends in interest rates," Staff Reports 866, Federal Reserve Bank of New York.
- Brandyn Bok & Marco Del Negro & Domenico Giannone & Marc Giannoni & Eric Qian & Andrea Tambalotti, 2019. "Global Trends in Interest Rates," Liberty Street Economics 20190227, Federal Reserve Bank of New York.
- Marco Del Negro & Andrea Tambalotti & Domenico Giannone & Marc Giannoni, 2019. "Global Trends in Interest Rates," 2019 Meeting Papers 77, Society for Economic Dynamics.
- Marco Del Negro & Domenico Giannone & Marc P. Giannoni & Andrea Tambalotti, 2018. "Global Trends in Interest Rates," NBER Working Papers 25039, National Bureau of Economic Research, Inc.
- Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2018. "Global Trends in Interest Rates," Working Papers 1812, Federal Reserve Bank of Dallas.
- Dedola, Luca & Rivolta, Giulia & Stracca, Livio, 2017.
"If the Fed sneezes, who catches a cold?,"
Journal of International Economics, Elsevier, vol. 108(S1), pages 23-41.
- Luca Dedola & Giulia Rivolta & Livio Stracca, 2016. "If the Fed Sneezes, Who Catches a Cold?," NBER Chapters, in: NBER International Seminar on Macroeconomics 2016, National Bureau of Economic Research, Inc.
- Dedola, Luca & Rivolta, Giulia & Stracca, Livio, 2017. "If the Fed sneezes, who catches a cold?," Working Paper Series 2050, European Central Bank.
- Mauro Costantini & Ulrich Gunter & Robert M. Kunst, 2017.
"Forecast Combinations in a DSGE‐VAR Lab,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(3), pages 305-324, April.
- Costantini, Mauro & Gunter, Ulrich & Kunst, Robert M., 2014. "Forecast combinations in a DSGE-VAR lab," Economics Series 309, Institute for Advanced Studies.
- Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, September.
- Michele Lenza & Giorgio E. Primiceri, 2020.
"How to Estimate a VAR after March 2020,"
NBER Working Papers
27771, National Bureau of Economic Research, Inc.
- Primiceri, Giorgio & Lenza, Michele, 2020. "How to Estimate a VAR after March 2020," CEPR Discussion Papers 15245, C.E.P.R. Discussion Papers.
- Lenza, Michele & Primiceri, Giorgio E., 2020. "How to estimate a VAR after March 2020," Working Paper Series 2461, European Central Bank.
- Tomasz Woźniak, 2016. "Bayesian Vector Autoregressions," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 49(3), pages 365-380, September.
More about this item
Keywords
Budget; Vector autoregression;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:fip:fedhep:00035. 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: Lauren Wiese (email available below). General contact details of provider: https://edirc.repec.org/data/frbchus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.