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Calling Recessions in Real Time James D. Hamilton Dept of Econ, UCSD.

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Presentation on theme: "Calling Recessions in Real Time James D. Hamilton Dept of Econ, UCSD."— Presentation transcript:

1 Calling Recessions in Real Time James D. Hamilton Dept of Econ, UCSD

2 I. Overview of some of the issues II. Track record of alternative approaches

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5 Date of recessionAnnouncement lag peaktroughpeaktrough Jan 1980Jul 19805 months12 months Jul 1981Nov 19826 months8 months Jul 1990Mar 19919 months21 months Mar 2001Nov 20018 months28 months

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7 Is our objective to: predict at t whether we will be in a recession at t + j or predict at t whether we were in a recession at t - j Theme: It’s very hard even to do (2) in real time.

8 Why should it be hard? (1) recessions result in part from forecast errors (a) Fed misjudges economy (b) Firms misjudge markets (2) economic relations change over time

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11 Why should it be hard? (1) recessions result in part from forecast errors (2) economic relations change over time (3) data revisions

12 Source: Leamer (2008)

13 Nonfarm payroll employment as reported on different dates

14 What is the definition of a recession? Possible answers: A. Ad-hoc qualitative summary of observable data (e.g., 2 quarters of falling real GDP) B. It’s a recession if and only if the NBER says so C. A recession is an objective but unobserved determinant of the data

15 I. Overview of some of the issues II. Track record of alternative approaches A. Predicting an ad-hoc event

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18 In-sample: P(t|t)

19 In-sample: P(t+3|t)

20 In-sample: P(t+6|t)

21 Out-of-sample: P(t+6|t)

22 Out-of-sample: P(t+3|t)

23 Out-of-sample: P(t|t) Recession began: July 1990 P(t|t) > 0.5 by Nov 1990

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25 I. Overview of some of the issues II. Track record of alternative approaches A. Predicting an ad-hoc event B. Predicting what the NBER is going to say

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27 Interest Rates FF Federal Funds rate 3M 3-month Treasury Bill rate 5Y 5-year Treasury Bond rate 10Y 10-year Treasury Bond rate AAA Moody's corporate bond yield AA Moody's corporate bond yield A Moody's corporate bond yield Term Spreads TS10YFF 10Y-FF Treasury term spread TS10Y3M 10Y-3M Treasury term spread TS10Y5Y 10Y-5Y Treasury term spread Credit Spreads CSAAA AAA - 10Y spread CSAA AA - 10Y spread CSA A - 10Y spread Employment Data EMP Δ log non-agricultural employment CEMP Δ log civilian employment UICLAIM Δ log unemployment claims UNEMP Unemployment rate UNEMPD Change in unemployment rate HOURS Δ log manufacturing hours Stock Price Indices DJ30 3-mo Δ log Dow Jones 30 average SP500 3-mo Δ log S&P 500 stock price index Monetary Aggregates M0 Monetary base (log-differenced) M1 (log-differenced) M2 (log-differenced) Other Macroeconomic Variables CLI11 Δ log composite leading indicators CPI, all urban, all items (log-differenced) EXP Consumer expectation EXPD Changes in consumer expectation HOUSE Building permits (log-differenced) VENDOR performance INCOME Δ log personal income IP Industrial production (log-differenced) SALES Δ log Manufacturing & trade sales Katayama (LSU, 2008)

28 Evaluated with 7 different choices for F(.) by post-sample and leave-2-years-out cross- validation

29 Conclusion: Improvements from F(.) with positive skew and excess kurtosis Best variables: 10Y-3M treasury spread S&P500 3-month growth employment growth

30 Chauvet and Potter (2002, 2005) Probit specification based on term spread allowing for serial correlation and structural breaks successfully predicted 2001 recession

31 Wright (2006) F(.) ~ Normal 10Y-30M treasury spread fed funds rate tries to predict an NBER recession any time within next 12 months

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33 Leamer (2008): Choose thresholds for 6-month changes so as to fit NBER dates

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41 I. Overview of some of the issues II. Track record of alternative approaches A. Predicting an ad-hoc event B. Predicting what the NBER is going to say C. Recognizing a shift in the observed dynamics of economic variables

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43 W = 4.7  = 3.5  = -1.2  = 3.5

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52 Chauvet and Hamilton (2006), Chauvet and Piger (2008)

53 MonthProbability of Recession February 2008 15.4% March 2008 16.0% April 2008 15.6% May 2008 15.3% June 2008 14.0% July 2008 13.0% Source: Jeremy Piger, Sept. 29, 2008

54 Source: Jeremy Nalewaik

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