Discussion of D’Amico and King’s “What Does Anticipated Monetary Policy Do?” ASSA Meetings San Francisco January 4, 2016 Eric T. Swanson University of.

Slides:



Advertisements
Similar presentations
Is central bank communication really informative when forecasting interest rate decisions? New evidence based on a Taylor rule model for the ECB by Jan-Egbert.
Advertisements

Spatial autoregressive methods
Motivation Hard to believe that productivity shocks drive the whole cycle We want to know their importance relative to demand shocks.
The Simple Regression Model
The Multiple Regression Model.
Monetary Policy Rules in Practice Richard Clarida, Jordi Gali and Mark Gertler Economic Research Reports September 1997 ECON 521 Special Topics in Economic.
Discussion by Valerie A. Ramey Brookings March 23,
Discussion of Michael Ehrmann’s “Targeting Inflation from Below: How Do Inflation Expectations Behave?” Reflections on 25 Years of Inflation Targeting.
Hypothesis Testing Steps in Hypothesis Testing:
Discussion of Michaillat and Saez’s “An Economical Business-Cycle Model” Conference on “The New Normal for Monetary Policy” Federal Reserve Bank of San.
Intermediate Macroeconomics Chapter 8 Money Supply.
Vector Autoregressive Models
Discussion of Nakamura and Steinsson’s “High Frequency Identification of Monetary Non-Neutrality” ASSA Meetings, Boston January 3, 2015 Eric T. Swanson.
VAR Models Yankun Wang, Cornell University, Oct 2009.
Vector Error Correction and Vector Autoregressive Models
Monetary Policy: Goals and Tradeoffs
On The Determination of the Public Debt Robert Barro 1979.
Discussion of Monetary Policy and the Money Market Yield Curve Conference on the Analysis of the Money Market European Central Bank November 14, 2007 Eric.
Towards an integrated macro-finance framework for monetary policy NBB Conference Brussels, 16 October Liquidity, inflation and asset prices in a.
Aggregate Supply & Aggregate Demand
The Simple Linear Regression Model: Specification and Estimation
Chapter 10 Simple Regression.
Let’s Twist Again: A High-Frequency Event-Study Analysis of Operation Twist and Its Implications for QE2 Stanford Macro Seminar April 4, 2011 Eric T. Swanson.
Spatial autoregressive methods Nr245 Austin Troy Based on Spatial Analysis by Fortin and Dale, Chapter 5.
Identification of the short-run structure The identified cointegration relations are kept fixed at their previously estimated values An identified structure.
Presentation and Discussion of Gagnon, Raskin, Remasche, and Sack, “The Financial Market Effects of the Federal Reserve’s Large-Scale Asset Purchases”
REGRESSION MODEL ASSUMPTIONS. The Regression Model We have hypothesized that: y =  0 +  1 x +  | | + | | So far we focused on the regression part –
Learning, Monetary Policy Rules, and Real Exchange Rate Dynamics Nelson C. Mark University of Notre Dame.
Chapter 21. Stabilization policy with rational expectations
Exchange Rate “Fundamentals” FIN 40500: International Finance.
Quantitative Trading Strategy based on Time Series Technical Analysis Group Member: Zhao Xia Jun Lorraine Wang Lu Xiao Zhang Le Yu.
Money, Output, and Prices Classical vs. Keynesians.
The Zero Lower Bound, ECB Interest Rate Policy and the Financial Crisis Stefan Gerlach and John LewisDiscussion Gert Peersman Ghent University.
Discussion of “Forward Guidance by Inflation-Targeting Central Banks” By Michael Woodford Sveriges Riksbank Conference “Two Decades of Inflation Targeting:
Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved CHAPTER 12 The Phillips Curve and Expectations.
Regression Method.
National Institute of Economic and Social Research “Consensus estimates of forecast uncertainty: working out how little we know ” James Mitchell NIESR.
Investment Analysis and Portfolio management Lecture: 24 Course Code: MBF702.
Ask Not What Your Government can do for You: Macro Policy in the Current Environment Rik Hafer Distinguished Research Professor Southern Illinois University.
Discussion of: Eric T. Swanson Federal Reserve Bank of San Francisco Monetary Policy Tick by Tick Michael Fleming and Monika Piazzesi Bank of Canada Conference.
Macro Chapter 14 Modern Macroeconomics and Monetary Policy.
Copyright © 2012 by Nelson Education Limited. Chapter 7 Hypothesis Testing I: The One-Sample Case 7-1.
Lecture 5: Macroeconomic Model Given to the EMBA 8400 Class South Class Room #600 February 2, 2007 Dr. Rajeev Dhawan Director.
Imperfect Common Knowledge, Price Stickiness, and Inflation Inertia Porntawee Nantamanasikarn University of Hawai’i at Manoa November 27, 2006.
Fundamental Analysis Classical vs. Keynesian. Similarities Both the classical approach and the Keynesian approach are macro models and, hence, examine.
Jeroen Pannekoek - Statistics Netherlands Work Session on Statistical Data Editing Oslo, Norway, 24 September 2012 Topic (I) Selective and macro editing.
Macro Chapter 14 Modern Macroeconomics and Monetary Policy.
Doctoral School of Finance and Banking Bucharest Uncovered interest parity and deviations from uncovered interest parity MSc student: Alexandru-Chidesciuc.
Convergence and Anchoring of Yield Curves in the Euro Area Conference on International Financial Integration Federal Reserve Bank of Atlanta November 30,
Time series tests of the small open economy model of the current account Birmingham MSc International Macro Autumn 2015 Tony Yates.
Measuring the Natural Rate of Interest Redux Conference on “The Long Term Equilibrium Interest Rate” October 30, 2015 Thomas Laubach, Federal Reserve Board.
Review of Statistics.  Estimation of the Population Mean  Hypothesis Testing  Confidence Intervals  Comparing Means from Different Populations  Scatterplots.
Identification of the short-run structure The identified cointegration relations are kept fixed at their previously estimated values An identified structure.
Expectations and Macroeconomic Stabilization Policies Adaptive and Rational Expectations.
US Monetary Policy Group 5 Day 2 Chien-Hui Chan, Julian Yang, Yi-Hau Li.
Multiple Regression Analysis: Inference
Predicting Energy Consumption in Buildings using Multiple Linear Regression Introduction Linear regression is used to model energy consumption in buildings.
Tools to adjust the Money Supply
Bayesian and Adaptive Optimal Policy under Model Uncertainty
The Taylor Principles Alex Nikolsko-Rzhevskyy
Discussion of Michaillat and Saez’s
Discussion of Hanson, Lucca, and Wright,
Unconventional Monetary Policies in the Euro Area, Japan, and the UK
The regression model in matrix form
Will the real Taylor Rule please stand up?
The Federal Reserve Is Not Very Constrained by the Lower Bound on
Tutorial 1: Misspecification
Discussion of Carvalho, Eusepi, Moench, and Preston,
Lecture 5: Macroeconomic Model
Discussion of Kroencke, Schmeling, and Schrimpf, “The FOMC Risk Shift”
Presentation transcript:

Discussion of D’Amico and King’s “What Does Anticipated Monetary Policy Do?” ASSA Meetings San Francisco January 4, 2016 Eric T. Swanson University of California, Irvine

Summary of Paper Idea: get a model-free estimate of effects of forward guidance shocks on GDP, inflation, etc. Estimate a VAR on macro variables and survey expectations: Identify forward guidance shocks using sign restrictions: lower expected future interest rates higher expected future GDP higher expected future inflation Compare results to forward guidance shocks in standard New Keynesian model

Summary: Effects of Fwd Guidance are Big Authors find that forward guidance has large effects Conventional monetary policy: Forward guidance: GDP

Comment #1: Zero Restriction on Current y t, π t Forward guidance should have same zero restrictions on output, inflation as conventional policy VAR

Comment #2: Sign Restriction on Current i t Residual covariance matrix Identify forward guidance shocks via sign restrictions: VAR

Comment #2: Sign Restriction on Current i t Authors impose: A more natural restriction would be = 0 (Same normalization as Gurkaynak, Sack, Swanson, 2005) We’re interested in changes in forward guidance that are orthogonal to (i.e., above and beyond) changes in the current funds rate Authors’ subsequent analysis always includes offsetting shocks to the current funds rate, anyway During ZLB period, equality restriction clearly holds Failure to impose this restriction may contaminate identification

Comment #2: Sign Restriction on Current i t Interest rate expectations: Current interest rate: Restriction matters:

Comment #3: Including Forecasts in a VAR Including survey forecasts in a VAR creates inherent tension: VAR is “true” law of motion for the economy But survey forecast data provide alternate forecasts Authors assume Blue Chip survey forecasts are irrational To support this assumption, authors show VAR forecasts significantly outperform Blue Chip: But this result is In sample With Blue Chip forecasts included in the VAR Including early 1980s (nominal data have downtrend)

Comment #3: Including Forecasts in a VAR Compare to Faust and Wright (2013): “We find that judgmental survey forecasts outperform model- based ones, often by a wide margin.” Overfitting seems to be a problem for the VAR Calls into question the estimated VAR reduced-form residuals, identification, and structural shocks: Reduced-form residuals are too small Structural shocks are too small Covariance matrix Σ and hence Γ may not be representative Structural shocks may not be well identified

Comment #3: Including Forecasts in a VAR Seems to be a fundamental problem with VAR approach to incorporating “expectations shocks” Structural model-based analysis (as in NK-type models) seems better here: Expectations shocks are well-defined in a structural model Authors’ goal of model-free estimates of effects of forward guidance may be too ambitious.

Comment #4: ZLB Period is Problematic Zero lower bound period from is problematic: ZLB violates linearity of the VAR Unconventional monetary policy includes LSAPs as well as forward guidance LSAPs seem to satisfy the same sign restrictions as forward guidance Authors’ estimates of forward guidance shocks probably include LSAP effects as well

Summary of Comments 1.Impose same contemporaneous zero restrictions on output and inflation for forward guidance as for funds rate 2.Impose restriction that forward guidance has no effect on current federal funds rate (instead of opposite effect) 3.Modeling “expectations shocks” in a VAR is problematic: Drop GDP, inflation survey forecasts from VAR? Structural NK-type models are probably a better way to model expectations shocks Goal of model-free estimate of forward guidance effects may be too ambitious 4.ZLB period is problematic focus on pre-2008 sample as baseline