RDP 2023-07: Identification and Inference under Narrative Restrictions References

Altavilla C, M Darracq Pariès and G Nicoletti (2019), ‘Loan Supply, Credit Markets and the Euro Area Financial Crisis’, Journal of Banking & Finance, 109, Article 105658.

Antolín-Díaz J, I Petrella and JF Rubio-Ramírez (2021), ‘Structural Scenario Analysis with SVARs’, Journal of Monetary Economics, 117, pp 798–815.

Antolín-Díaz J and JF Rubio-Ramírez (2018), ‘Narrative Sign Restrictions for SVARs’, The American Economic Review, 108(10), pp 2802–2829.

Arias JE, D Caldara and JF Rubio-Ramírez (2019), ‘The Systematic Component of Monetary Policy in SVARs: An Agnostic Identification Procedure’, Journal of Monetary Economics, 101, pp 1–13.

Arias JE, JF Rubio-Ramírez and DF Waggoner (2018), ‘Inference Based on Structural Vector Autoregressions Identified with Sign and Zero Restrictions: Theory and Applications’, Econometrica, 86(2), pp 685–720.

Arias JE, JF Rubio-Ramírez and DF Waggoner (2021), ‘Inference in Bayesian Proxy-SVARs’, Journal of Econometrics, 225(1), pp 88–106.

Ascari G, S Fasani, J Grazzini and L Rossi (forthcoming), ‘Endogenous Uncertainty and the Macroeconomic Impact of Shocks to Inflation Expectations’, Journal of Monetary Economics.

Badinger H and S Schiman (2023), ‘Measuring Monetary Policy in the Euro Area Using SVARs with Residual Restrictions’, American Economic Journal: Macroeconomics, 15(2), pp 279–305.

Basu A, H Shioya and C Park (2011), Statistical Inference: The Minimum Distance Approach, Monographs on Statistics and Applied Probability 120, Chapman & Hall/CRC Press, Boca Raton.

Baumeister C and JD Hamilton (2015), ‘Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information’, Econometrica, 83(5), pp 1963–1999.

Ben Zeev N (2018), ‘What Can We Learn about News Shocks from the Late 1990s and Early 2000s Boom-Bust Period?’, Journal of Economic Dynamics & Control, 87, pp 94–105.

Berger T, J Richter and B Wong (2022), ‘A Unified Approach for Jointly Estimating the Business and Financial Cycle, and the Role of Financial Factors’, Journal of Economic Dynamics & Control, 136, Article 104315.

Berthold B (2023), ‘The Macroeconomic Effects of Uncertainty and Risk Aversion Shocks’, European Economic Review, 154, Article 104442.

Blanchard OJ and D Quah (1989), ‘The Dynamic Effects of Aggregate Demand and Supply Disturbances’, The American Economic Review, 79(4), pp 655–673.

Boer L, A Pescatori and M Stuermer (forthcoming), ‘Energy Transition Metals: Bottleneck for Net-Zero Emissions?’, Journal of the European Economic Association.

Caggiano G and E Castelnuovo (2023), ‘Global Financial Uncertainty’, Journal of Applied Econometrics, 38(3), pp 432–449.

Caggiano G, E Castelnuovo, S Delrio and R Kima (2021), ‘Financial Uncertainty and Real Activity: The Good, the Bad, and the Ugly’, European Economic Review, 136, Article 103750.

Cheng K and Y Yang (2020), ‘Revisiting the Effects of Monetary Policy Shocks: Evidence from SVAR with Narrative Sign Restrictions’, Economics Letters, 196, Article 109598.

Conti AM, A Nobili and FM Signoretti (2023), ‘Bank Capital Requirement Shocks: A Narrative Perspective’, European Economic Review, 151, Article 104254.

Del Negro M and F Schorfheide (2011), ‘Bayesian Macroeconometrics’, in J Geweke, G Koop and H van Dijk (eds), The Oxford Handbook of Bayesian Econometrics, Oxford Handbooks, Oxford University Press, Oxford, pp 293–389.

Fanelli L and A Marsi (2022), ‘Sovereign Spreads and Unconventional Monetary Policy in the Euro Area: A Tale of Three Shocks’, European Economic Review, 150, Article 104281.

Furlanetto F and Ø Robstad (2019), ‘Immigration and the Macroeconomy: Some New Empirical Evidence’, Review of Economic Dynamics, 34, pp 1–19.

Gafarov B, M Meier and JL Montiel Olea (2018), ‘Delta-Method Inference for a Class of Set-Identified SVARs’, Journal of Econometrics, 203(2), pp 316–327.

Giacomini R and T Kitagawa (2021a), ‘Robust Bayesian Inference for Set-identified Models’, Econometrica, 89(4), pp 1519–1556.

Giacomini R and T Kitagawa (2021b), ‘Supplement to “Robust Bayesian Inference for Set-Identified Models”’, Econometrica, 89(4), Supporting Information, Online Appendix.

Giacomini R, T Kitagawa and M Read (2021), ‘Robust Bayesian Analysis for Econometrics’, Centre for Economic Policy Research Research Discussion Paper No DP16488.

Giacomini R, T Kitagawa and M Read (2022a), ‘Narrative Restrictions and Proxies’, Journal of Business & Economic Statistics, 40(4), pp 1415–1425.

Giacomini R, T Kitagawa and M Read (2022b), ‘Robust Bayesian Inference in Proxy SVARs’, Journal of Econometrics, 228(1), pp 107–126.

Granziera E, HR Moon and F Schorfheide (2018), ‘Inference for VARs Identified with Sign Restrictions’, Quantitative Economics, 9(3), pp 1087–1121.

Hamilton JD (1994), Time Series Analysis, Princeton University Press, Princeton.

Harrison A, X Liu and SL Stewart (2023), ‘Structural Sources of Oil Market Volatility and Correlation Dynamics’, Energy Economics, 121, Article 106658.

Herwatz H and S Wang (2023), ‘Point Estimation in Sign-Restricted SVARs Based on Independence Criteria with an Application to Rational Bubbles’, Journal of Economic Dynamics & Control, 151, Article 104630.

Inoue A and L Kilian (2022), ‘Joint Bayesian Inference about Impulse Responses in VAR Models’, Journal of Econometrics, 231(2), pp 457–476.

Kilian L and H Lütkepohl (2017), Structural Vector Autoregressive Analysis, Themes in Modern Econometrics, Cambridge University Press, Cambridge.

Kilian L and X Zhou (2020), ‘Does Drawing down the US Strategic Petroleum Reserve Help Stabilize Oil Prices?’, Journal of Applied Econometrics, 35(6), pp 673–691.

Kilian L and X Zhou (2022), ‘Oil Prices, Exchange Rates and Interest Rates’, Journal of International Money and Finance, 126, Article 102679.

Komarova T (2013), ‘Binary Choice Models with Discrete Regressors: Identification and Misspecification’, Journal of Econometrics, 177(1), pp 14–33.

Larsen VH (2021), ‘Components of Uncertainty’, International Economic Review, 62(2), pp 769–788.

Laumer S (2020), ‘Government Spending and Heterogeneous Consumption Dynamics’, Journal of Economic Dynamics & Control, 114, Article 103868.

Ludvigson SC, S Ma and S Ng (2018), ‘Shock Restricted Structural Vector-Autoregressions’, NBER Working Paper No 23225, rev January 2020.

Ludvigson SC, S Ma and S Ng (2021), ‘Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?’, American Economic Journal: Macroeconomics, 13(4), pp 369–410.

Maffei-Faccioli N and E Vella (2021), ‘Does Immigration Grow the Pie? Asymmetric Evidence from Germany’, European Economic Review, 138, Article 103846.

Manski CF (1975), ‘Maximum Score Estimation of the Stochastic Utility Model of Choice’, Journal of Econometrics, 3(3), pp 205–228.

Manski CF (1985), ‘Semiparametric Analysis of Discrete Response: Asymptotic Properties of the Maximum Score Estimator’, Journal of Econometrics, 27(3), pp 313–333.

Mertens K and MO Ravn (2013), ‘The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States’, The American Economic Review, 103(4), pp 1212–1247.

Montiel Olea JL and J Nesbit (2021), ‘(Machine) Learning Parameter Regions’, Journal of Econometrics, 221(1, Part C), pp 716–744.

Montiel Olea JL, JH Stock and MW Watson (2021), ‘Inference in Structural Vector Autoregressions Identified with an External Instrument’, Journalof Econometrics, 225(1), pp 74–87.

Moon HR and F Schorfheide (2012), ‘Bayesian and Frequentist Inference in Partially Identified Models’, Econometrica, 80(2), pp 755–782.

Neri S (2023), ‘Long-Term Inflation Expectations and Monetary Policy in the Euro Area before the Pandemic’, European Economic Review, 154, Article 104426.

Petterson MS, D Seim and JM Shapiro (2023), ‘Bounds on a Slope from Size Restrictions on Economic Shocks’, American Economic Journal: Microeconomics, 15(3), pp 552–572.

Plagborg-Møller M (2019), ‘Bayesian Inference on Structural Impulse Response Functions’, Quantitative Economics, 10(1), pp 145–184.

Plagborg-Møller M (2022), ‘Discussion of “Narrative Restrictions and Proxies” by Raffaella Giacomini, Toru Kitagawa, and Matthew Read’, Journal of Business & Economic Statistics, 40(4), pp 1434–1437.

Plagborg-Møller M and CK Wolf (2021a), ‘Local Projections and VARs Estimate the Same Impulse Responses’, Econometrica, 89(2), pp 955–980.

Plagborg-Møller M and CK Wolf (2021b), ‘Supplement to “Local Projections and VARs Estimate the Same Impulse Responses”’, Econometrica, 89(2), Supporting Information, Online Appendix.

Poirier DJ (1998), ‘Revising Beliefs in Nonidentified Models’, Econometric Theory, 14(4), pp 483–509.

Read M (2022a), ‘Algorithms for Inference in SVARs Identified With Sign and Zero Restrictions’, The Econometrics Journal, 25(3), pp 699–718.

Read M (2022b), ‘The Unit-Effect Normalisation in Set-Identified Structural Vector Autoregressions‘, RBA Research Discussion Paper No 2022-04.

Read M and D Zhu (forthcoming), ‘Bayesian Inference in SVARs Using “Soft” Sign Restrictions’, RBA Research Discussion Paper.

Redl C (2020), ‘Uncertainty Matters: Evidence from Close Elections’, Journal of International Economics, 124, Article 103296.

Reichlin L, G Ricco and M Tarbé (2023), ‘Monetary-Fiscal Crosswinds in the European Monetary Union’, European Economic Review, 151, Article 104328.

Romer CD and DH Romer (1989), ‘Does Monetary Policy Matter? A New Test in the Spirit of Friedman and Schwartz’, in OJ Blanchard and S Fischer (eds), NBER Macroeconomics Annual, 4, The MIT Press, Cambridge, pp 121–184.

Rosen AM and T Ura (2020), ‘Finite Sample Inference for the Maximum Score Estimand’, Centre for Microdata Methods and Practice, cemmap Working Paper CWP22/20.

Rothenberg TJ (1971), ‘Identification in Parametric Models’, Econometrica, 39(3), pp 577–591.

Rubio-Ramírez JF, DF Waggoner and T Zha (2010), ‘Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference’, The Review of Economic Studies, 77(2), pp 665–696.

Rüth SK and W Van der Veken (forthcoming), ‘Monetary Policy and Exchange Rate Anomalies in Set-Identified SVARs: Revisited’, Journal of Applied Econometrics.

Sims CA (1980), ‘Macroeconomics and Reality’, Econometrica, 48(1), pp 1–48.

Stock JH and MW Watson (2018), ‘Identification and Estimation of Dynamic Causal Effects in Macroeconomics Using External Instruments’, The Economic Journal, 128(610), pp 917–948.

Uhlig H (2005), ‘What Are the Effects of Monetary Policy on Output? Results From an Agnostic Identification Procedure’, Journal of Monetary Economics, 52(2), pp 381–419.

Uhlig H (2017), ‘Shocks, Sign Restrictions, and Identification’, in B Honoré, A Pakes, M Piazzesi and L Samuelson (eds), Advances in Economics and Econometrics: Eleventh World Congress, Vol 2, Econometric Society Monographs, Cambridge University Press, Cambridge, pp 95–127.

Wolf CK (2020), ‘SVAR (Mis)Identification and the Real Effects of Monetary Policy Shocks’, American Economic Journal: Macroeconomics, 12(4), pp 1–32.

Zhou X (2020), ‘Refining the Workhorse Oil Market Model’, Journal of Applied Econometrics, 35(1), pp 130–140.