Discussion on Policy-Relevant Exchange Rate Pass-Through to U.S. Import Prices

Similar documents
Investment is one of the most important and volatile components of macroeconomic activity. In the short-run, the relationship between uncertainty and

Product Di erentiation: Exercises Part 1

Chapter 5 Univariate time-series analysis. () Chapter 5 Univariate time-series analysis 1 / 29

Interest rates expressed in terms of the national currency (basket of goods ) are called nominal (real) interest rates Their relation is given as

Online Appendix B. Assessing Sale Strategies in Online Markets using Matched Listings. By Einav, Kuchler, Levin, and Sundaresan

Online Appendix of. This appendix complements the evidence shown in the text. 1. Simulations

Complete nancial markets and consumption risk sharing

International Finance. Estimation Error. Campbell R. Harvey Duke University, NBER and Investment Strategy Advisor, Man Group, plc.

What Can a Life-Cycle Model Tell Us About Household Responses to the Financial Crisis?

Internet Appendix for. On the High Frequency Dynamics of Hedge Fund Risk Exposures

Behavioral Finance and Asset Pricing

Optimal Progressivity

Appendix to: The Myth of Financial Innovation and the Great Moderation

The Long-run Optimal Degree of Indexation in the New Keynesian Model

Eliminating Substitution Bias. One eliminate substitution bias by continuously updating the market basket of goods purchased.

Web Appendix. Are the effects of monetary policy shocks big or small? Olivier Coibion

Faster solutions for Black zero lower bound term structure models

Interest Rate Cancelable Swap Valuation and Risk

International Trade Gravity Model

Monte Carlo probabilistic sensitivity analysis for patient level simulation models

A1. Relating Level and Slope to Expected Inflation and Output Dynamics

Problem Set # Public Economics

Microeconomics I - Midterm

Statistical Evidence and Inference

Risk Video #1. Video 1 Recap

10703 Deep Reinforcement Learning and Control

Models of Wage-setting.. January 15, 2010

Supply-side effects of monetary policy and the central bank s objective function. Eurilton Araújo

BANK OF CANADA RENEWAL OF BACKGROUND INFORMATION THE INFLATION-CONTROL TARGET. May 2001

Multivariate Statistics Lecture Notes. Stephen Ansolabehere

GMM for Discrete Choice Models: A Capital Accumulation Application

Upward Pricing Pressure formulations with logit demand and endogenous partial acquisitions

Measurement of Market Risk

Problem Set 1 Answer Key. I. Short Problems 1. Check whether the following three functions represent the same underlying preferences

1 Active Labour Market Policy

Discussion of Lumpy investment in general equilibrium by Bachman, Caballero, and Engel

Intergenerational Policy and the Measurement of the Tax Incidence of Unfunded Liabilities

Online Appendix to Grouped Coefficients to Reduce Bias in Heterogeneous Dynamic Panel Models with Small T

Decision Support Models 2012/2013

READING 26: HEDGING MOTGAGE SECURITIES TO CAPTURE RELATIVE VALUE

Lecture Notes 1: Solow Growth Model

Gamma. The finite-difference formula for gamma is

Problem 3 Solutions. l 3 r, 1

1. Monetary credibility problems. 2. In ation and discretionary monetary policy. 3. Reputational solution to credibility problems

CO-INVESTMENTS. Overview. Introduction. Sample

Lecture 7 - Locational equilibrium continued

Callable Bond and Vaulation

Expectations and market microstructure when liquidity is lost

Uncertainty and the Dynamics of R&D*

Puttable Bond and Vaulation

1 Two Period Production Economy

Missing Aggregate Dynamics:

Supplementary Material: Strategies for exploration in the domain of losses

Appendix: Model and Experiments

The Role of Education Signaling in Explaining the Growth of College Wage Premium

Pricing & Risk Management of Synthetic CDOs

Conditional Convergence Revisited: Taking Solow Very Seriously

Monetary Economics: Macro Aspects, 19/ Henrik Jensen Department of Economics University of Copenhagen

Craft Lending: The Role of Small Banks in Small Business Lending

Preprint: Will be published in Perm Winter School Financial Econometrics and Empirical Market Microstructure, Springer

Uncertainty and the Transmission of Fiscal Policy

Topic 2. Productivity, technological change, and policy: macro-level analysis

The Tax Harvesting Water Hole

Advanced Financial Modeling. Unit 2

ANNEX 3. The ins and outs of the Baltic unemployment rates

Brooks, Introductory Econometrics for Finance, 3rd Edition

Online Appendix. Moral Hazard in Health Insurance: Do Dynamic Incentives Matter? by Aron-Dine, Einav, Finkelstein, and Cullen

Low Fertility, Labour Supply, and Retirement in Europe

EconS Micro Theory I 1 Recitation #9 - Monopoly

Effects of skewness and kurtosis on model selection criteria

Accelerated Option Pricing Multiple Scenarios

1. Money in the utility function (start)

Online Appendices for

PROJECT MANAGEMENT: PERT AMAT 167

Conditional Investment-Cash Flow Sensitivities and Financing Constraints

Minhee Kim. Labor economics, Empirical macroeconomics, Econometrics

Measuring Bank Insolvency Risk in CEEC

A Bayesian Approach to Real Options:

Prospect Theory and Asset Prices

Chapter 5 Univariate time-series analysis. () Chapter 5 Univariate time-series analysis 1 / 59

Harbour Asset Management New Zealand Equity Advanced Beta Fund FAQ S

ECONOMY IN THE LONG RUN. Chapter 6. Unemployment. October 23, Chapter 6: Unemployment. ECON204 (A01). Fall 2012

A comparison of investors ' sentiments and risk premium effects on valuing shares Karavias, Yiannis; Spilioti, Stella; Tzavalis, Elias

CHAPTER 11. Topics. Cash Flow Estimation and Risk Analysis. Estimating cash flows: Relevant cash flows Working capital treatment

An Introduction to Structured Financial Products (Continued)

Mortgage-Backed Securities

These notes essentially correspond to chapter 13 of the text.

A Scenario-Based Method (SBM) for Cost Risk Analysis

On the estimation of the volatility-growth link

Liquidity, Asset Price and Banking

Introducing nominal rigidities.

Strategic Pre-Commitment

Transport Data Analysis and Modeling Methodologies

ENVIRONMENTAL PROTECTION, PUBLIC FINANCE REQUIREMENTS AND THE TIMING

Stochastic Budget Simulation

ECO410H: Practice Questions 2 SOLUTIONS

Pension Drawdown Monte Carlo Simulation. for. Example Client. Created by Mark Barden Vision West and Wales

FISHER TOTAL FACTOR PRODUCTIVITY INDEX FOR TIME SERIES DATA WITH UNKNOWN PRICES. Thanh Ngo ψ School of Aviation, Massey University, New Zealand

Development of a Risk Analysis Model for Producing High-Speed Rail Ridership and Revenue Forecasts

Asset Allocation Model with Tail Risk Parity

Transcription:

Discussion on Policy-Relevant Exchange Rate Pass-Through to U.S. Import Prices Hakan Yilmazkuday 1 1 Temple University September 2010 September 2010 1 / 9

Questions Downward bias in exchange rate pass-through to U.S. import price index September 2010 2 / 9

Questions Downward bias in exchange rate pass-through to U.S. import price index Possible reasons investigated: September 2010 2 / 9

Questions Downward bias in exchange rate pass-through to U.S. import price index Possible reasons investigated: Improper lag selection September 2010 2 / 9

Questions Downward bias in exchange rate pass-through to U.S. import price index Possible reasons investigated: Improper lag selection Selection biases in the entry of items in the basket of prices September 2010 2 / 9

Questions Downward bias in exchange rate pass-through to U.S. import price index Possible reasons investigated: Improper lag selection Selection biases in the entry of items in the basket of prices Selection biases in the exit of items from the basket of prices. September 2010 2 / 9

Arguments Improper lag selection September 2010 3 / 9

Arguments Improper lag selection Standard lag length selection criteria may lead underprediction of pass-through over the medium run September 2010 3 / 9

Arguments Improper lag selection Standard lag length selection criteria may lead underprediction of pass-through over the medium run Include, say, 24 lags in monthly data September 2010 3 / 9

Arguments Improper lag selection Standard lag length selection criteria may lead underprediction of pass-through over the medium run Include, say, 24 lags in monthly data Monte-Carlo: Bene ts are higher compared to costs September 2010 3 / 9

Arguments Selection biases in the entry of items September 2010 4 / 9

Arguments Selection biases in the entry of items Items that are less responsive to recent exchange rate movements than items already in the index. September 2010 4 / 9

Arguments Selection biases in the entry of items Items that are less responsive to recent exchange rate movements than items already in the index. The size of this bias is sensitive to the speed of pass-through. September 2010 4 / 9

Arguments Selection biases in the entry of items Items that are less responsive to recent exchange rate movements than items already in the index. The size of this bias is sensitive to the speed of pass-through. Construct an alternative price index by delaying the entry of substitutes in the basket September 2010 4 / 9

Arguments Selection biases in the exit of items September 2010 5 / 9

Arguments Selection biases in the exit of items The key source of bias?? September 2010 5 / 9

Arguments Selection biases in the exit of items The key source of bias?? Due to the possibility of items leaving the basket having higher deviation from their reset price September 2010 5 / 9

Arguments Selection biases in the exit of items The key source of bias?? Due to the possibility of items leaving the basket having higher deviation from their reset price Further details are necessary from BLS to work on this September 2010 5 / 9

Lag selection Can the problem be solved by using the maximum lag of an item? September 2010 6 / 9

Lag selection Can the problem be solved by using the maximum lag of an item? Because, the import price index consists of many item prices September 2010 6 / 9

Lag selection Can the problem be solved by using the maximum lag of an item? Because, the import price index consists of many item prices If any of the items are a ected by lagged exchange rates, you may want to include as many lags just to capture the dynamics of these items. September 2010 6 / 9

Lag selection Create two price series: September 2010 7 / 9

Lag selection Create two price series: One with 24 lags of exchange rate e ect September 2010 7 / 9

Lag selection Create two price series: One with 24 lags of exchange rate e ect The other with 2 lags of exchange rate e ect September 2010 7 / 9

Lag selection Create two price series: One with 24 lags of exchange rate e ect The other with 2 lags of exchange rate e ect Take the weighted average of the two series September 2010 7 / 9

Lag selection Create two price series: One with 24 lags of exchange rate e ect The other with 2 lags of exchange rate e ect Take the weighted average of the two series With low-enough weights on 24-lag series, the lag selection of the weighted average through AIC or SC can be as low as 2 or 3. September 2010 7 / 9

Lag selection Create two price series: One with 24 lags of exchange rate e ect The other with 2 lags of exchange rate e ect Take the weighted average of the two series With low-enough weights on 24-lag series, the lag selection of the weighted average through AIC or SC can be as low as 2 or 3. Hence 24-lag series almost disappear in lag selection through AIC or SC September 2010 7 / 9

Lag selection Create two price series: One with 24 lags of exchange rate e ect The other with 2 lags of exchange rate e ect Take the weighted average of the two series With low-enough weights on 24-lag series, the lag selection of the weighted average through AIC or SC can be as low as 2 or 3. Hence 24-lag series almost disappear in lag selection through AIC or SC But, can we still use 24 lags on weighted average to see the overall e ects (for medium or long-run)? September 2010 7 / 9

Lag selection The answer is yes if you believe in the following alternative lag selection: September 2010 8 / 9

Lag selection The answer is yes if you believe in the following alternative lag selection: When I used sequential F-test with maximum 50 possible lags (for 10,000 simulations) as a lag selection criterion, the highest lag with the medium (and mode) lag selection equal to itself (and the mean lag selection very close to itself) was 24, while it was not the case for any higher possible lags September 2010 8 / 9

Lag selection The answer is yes if you believe in the following alternative lag selection: When I used sequential F-test with maximum 50 possible lags (for 10,000 simulations) as a lag selection criterion, the highest lag with the medium (and mode) lag selection equal to itself (and the mean lag selection very close to itself) was 24, while it was not the case for any higher possible lags Hence, through sequential F-test, select the highest lag which minimizes the distance with itself after 10,000 simulations. In my case, 99% of simulations selected 24 lags. September 2010 8 / 9

Lag selection The answer is yes if you believe in the following alternative lag selection: When I used sequential F-test with maximum 50 possible lags (for 10,000 simulations) as a lag selection criterion, the highest lag with the medium (and mode) lag selection equal to itself (and the mean lag selection very close to itself) was 24, while it was not the case for any higher possible lags Hence, through sequential F-test, select the highest lag which minimizes the distance with itself after 10,000 simulations. In my case, 99% of simulations selected 24 lags. I repeated this exercise with creating price series with many di erent exchange rate lags; the results were the same September 2010 8 / 9

Lag selection The answer is yes if you believe in the following alternative lag selection: When I used sequential F-test with maximum 50 possible lags (for 10,000 simulations) as a lag selection criterion, the highest lag with the medium (and mode) lag selection equal to itself (and the mean lag selection very close to itself) was 24, while it was not the case for any higher possible lags Hence, through sequential F-test, select the highest lag which minimizes the distance with itself after 10,000 simulations. In my case, 99% of simulations selected 24 lags. I repeated this exercise with creating price series with many di erent exchange rate lags; the results were the same Hence, using sequential F-test can be an alternative solution. September 2010 8 / 9

Conclusion An attempt to decompose price indices September 2010 9 / 9

Conclusion An attempt to decompose price indices A very good job of determining possible reasons for downward bias September 2010 9 / 9

Conclusion An attempt to decompose price indices A very good job of determining possible reasons for downward bias More clari cation is necessary for technical details September 2010 9 / 9

Conclusion An attempt to decompose price indices A very good job of determining possible reasons for downward bias More clari cation is necessary for technical details What about an overall decomposition of all three e ects? September 2010 9 / 9

Conclusion An attempt to decompose price indices A very good job of determining possible reasons for downward bias More clari cation is necessary for technical details What about an overall decomposition of all three e ects? Consider two-series exercise above September 2010 9 / 9

Conclusion An attempt to decompose price indices A very good job of determining possible reasons for downward bias More clari cation is necessary for technical details What about an overall decomposition of all three e ects? Consider two-series exercise above Changing weights would correspond to entries and exits September 2010 9 / 9

Conclusion An attempt to decompose price indices A very good job of determining possible reasons for downward bias More clari cation is necessary for technical details What about an overall decomposition of all three e ects? Consider two-series exercise above Changing weights would correspond to entries and exits Such a simple exercise may help decomposing the three e ects September 2010 9 / 9

Conclusion An attempt to decompose price indices A very good job of determining possible reasons for downward bias More clari cation is necessary for technical details What about an overall decomposition of all three e ects? Consider two-series exercise above Changing weights would correspond to entries and exits Such a simple exercise may help decomposing the three e ects More to learn from micro-prices September 2010 9 / 9