- “Addressing COVID-19 Outliers in BVARs With Stochastic Volatility.” Review of Economics and Statistics (June). https://doi.org/10.1162/rest_a_01213. [Return to p. 8] Carter, C. K., and R. Kohn. 1994. “On Gibbs Sampling for State Space Models.” Biometrika 81, no. 3 (September), pp. 541–53. https://doi.org/10.1093/biomet/81.3.541. [Return to p. 12 (i) | p. 12 (ii)] CBO (Congressional Budget Office). 2014. How CBO Analyzes the Effects of Changes in Federal Fiscal Policies on the Economy (November). www.cbo.gov/publication/49494.
Paper not yet in RePEc: Add citation now
- [Return to p. 4] ———. 2019. CBO’s Economic Forecasting Record: 2019 Update (October).
Paper not yet in RePEc: Add citation now
[Return to p. 5] Koop, Gary, and Dimitris Korobilis. 2013. “Large Time-Varying Parameter VARs.” Journal of Econometrics 177, no. 2 (December): 185–98.
[Return to p. 5] Lenza, Michele, and Giorgio E. Primiceri. 2022. “How to Estimate a Vector Autoregression After March 2020.” Journal of Applied Econometrics 37, no. 4 (June–July): 688–99.
- 1 (January–February): 46–73, https://doi.org/10.1002/jae.2315. [Return to p. 12] Carriero, Andrea, Todd E. Clark, Massimiliano Marcellino, and Elmar Mertens. 2022.
Paper not yet in RePEc: Add citation now
Angelini, Elena, Magdalena Lalik, Michele Lenza, and Joan Paredes. 2019. “Mind the Gap: A Multi-Country BVAR Benchmark for the Eurosystem Projections.” International Journal of Forecasting 35, no. 4 (October–December): 1658–68.
- http://doi.org/10.1257/000282806776157678. [Return to p. 6] Stock, James. H., and Mark W. Watson. 2001. “Vector Autoregressions.” Journal of Economic Perspectives 15, no. 4 (Fall): 101–15. http://doi.org/10.1257/jep.15.4.101. [Return to p. 6] Swagel, Phillip L. 2022. “Budgetary Implications of Economic Scenarios With Higher and Lower Interest Rates.” Brookings Papers on Economic Activity (Spring): 233–49.
Paper not yet in RePEc: Add citation now
- https://doi.org/10.1002/jae.2895. [Return to p. 8] Litterman, Robert B. 1980. “A Bayesian Procedure for Forecasting With Vector Autoregression” (working paper, Department of Economics, Massachusetts Institute of Technology, Cambridge, MA). [Return to p. 5] Schorfheide, Frank, and Dongho Song. 2022. “Real-Time Forecasting With a (Standard) MixedFrequency BVAR During a Pandemic.” Centre for Economic Policy Research Discussion Paper DP16760. https://ssrn.com/abstract=4026603. [Return to p. 8] Sims, Christopher A. 1972. “Money, Income, and Causality.” American Economic Review 62, no. 4 (September): 540–52. www.jstor.org/stable/1806097. [Return to p. 5] ———. 1980a. “Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered.” American Economic Review 70, no. 2 (May): 250–7.
Paper not yet in RePEc: Add citation now
- https://doi.org/10.1016/j.ijforecast.2014.08.013. [Return to p. 5 (i) | p. 5 (ii)] Bańbura, Marta, Domenico Giannone, and Lucrezia Reichlin. 2010. “Large Bayesian Vector Auto Regressions.” Journal of Applied Econometrics 25, no. 1 (January–February): 71– 92. https://doi.org/10.1002/jae.1137. [Return to p. 5] Carriero, Andrea, Todd E. Clark, and Massimiliano Marcellino. 2015. “Bayesian VARs: Specification Choices and Forecast Accuracy.” Journal of Applied Econometrics 30, no.
Paper not yet in RePEc: Add citation now
https://doi.org/10.1016/j.ijforecast.2018.12.004. [Return to p. 5] Antolín-Díaz, Juan, Ivan Petrella, and Juan F. Rubio-Ramírez. 2021. “Structural Scenario Analysis With SVARs.” Journal of Monetary Economics 117 (January): 798–815.
- https://doi.org/10.1016/j.jeconom.2013.04.007. [Return to p. 7] Karlsson, Sune. 2013. “Forecasting With Bayesian Vector Autoregression.” In Handbook of Economic Forecasting, edited by Graham Elliott, Clive Granger, and Allan Timmermann (Elsevier), vol. 2, part B: 791–897. https://doi.org/10.1016/B978-0-444-62731-5.00015-4.
Paper not yet in RePEc: Add citation now
https://doi.org/10.1016/j.jmoneco.2020.06.001. [Return to p. 6] Bańbura, Marta, Domenico Giannone, and Michele Lenza. 2015. “Conditional Forecasts and Scenario Analysis With Vector Autoregressions for Large Cross-Sections.” International Journal of Forecasting 31, no. 3 (July–September): 739–56.
- https://doi.org/10.1162/REST_a_00483. [Return to p. 5 (i) | p. 5 (ii) | p. 10 | p. 24 | p. 25] ———. 2019. “Priors for the Long Run.” Journal of the American Statistical Association 114, no. 526: 565–80. https://doi.org/10.1080/01621459.2018.1483826. [Return to p. 7] Koop, Gary M. 2013. “Forecasting With Medium and Large Bayesian VARs.” Journal of Applied Econometrics 28, no. 2 (March): 177–203. https://doi.org/10.1002/jae.1270.
Paper not yet in RePEc: Add citation now
https://doi.org/10.2307/1912017. [Return to p. 5] Sims, Christopher A., and Tao Zha. 2006. “Were There Regime Switches in U.S. Monetary Policy?” American Economic Review 96, no. 1 (March): 54–81.
- www.cbo.gov/publication/55505. [Return to p. 13] ———. 2023a. Assessing the Budgetary Implications of Economic Uncertainty With CBO’s Incomes Model and Budgetary Feedback Model (January).
Paper not yet in RePEc: Add citation now
- www.cbo.gov/publication/58848. [Return to p. 4] Crump, Richard K., Stefano Eusepi, Domenico Giannone, Eric Qian, and Argia M. Sbordone. 2021. A Large Bayesian VAR of the United States Economy, staff report no. 976 (August). Federal Reserve Bank of New York.
Paper not yet in RePEc: Add citation now
- www.cbo.gov/publication/58885. [Return to p. 4] ———. 2023b. Estimating the Uncertainty of the Economic Forecast Using CBO’s Bayesian Vector Autoregression Model (January). www.cbo.gov/publication/58883. [Return to p. 8] ———. 2023c. The Budget and Economic Outlook: 2023 to 2033 (February).
Paper not yet in RePEc: Add citation now
- www.jstor.org/stable/1815476. [Return to p. 5] ———. 1980b. “Macroeconomics and Reality.” Econometrica 48, no. 1 (January): 1–48.
Paper not yet in RePEc: Add citation now