<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Christina D. Romer | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/christina-d.-romer/</link><description>Christina D. Romer</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/christina-d.-romer/index.xml" rel="self" type="application/rss+xml"/><item><title>A New Measure of Monetary Shocks: Derivation and Implications</title><link>https://macropaperwarehouse.com/papers/a-new-measure-of-monetary-shocks-derivation-and-implications/</link><guid>https://macropaperwarehouse.com/papers/a-new-measure-of-monetary-shocks-derivation-and-implications/</guid><description>&lt;p&gt;This 2004 American Economic Review paper by Christina D. Romer and David H. Romer constructs a new narrative-based measure of monetary policy shocks designed to be free of both the endogenous response of policy to current economic conditions and the Federal Reserve&amp;rsquo;s anticipatory response to expected future developments &amp;ndash; two contaminations the authors argue bias the federal funds rate as a policy indicator, pushing estimated output effects toward zero and generating a spurious &amp;ldquo;price puzzle.&amp;rdquo; Construction proceeds in two steps: first, reading the FOMC&amp;rsquo;s Record of Policy Actions and internal expected-rate memos for each scheduled meeting from March 1969 through December 1996 to identify the &amp;ldquo;intended&amp;rdquo; federal funds rate change at that meeting, excluding intermeeting moves and moves based on incorrect preliminary data; second, regressing these intended changes on the pre-meeting funds rate level and the Fed&amp;rsquo;s own Greenbook forecasts of output growth, inflation, and unemployment (levels and forecast revisions, one quarter before through two quarters after the meeting), with the residuals &amp;ndash; estimated over 263 meetings, R-squared 0.28 &amp;ndash; constituting the shock series. Aggregated to monthly frequency and entered with up to 36-48 lags in single-equation regressions for log industrial production and log PPI over January 1970-December 1996 (N=324), a one-percentage-point contractionary shock is estimated to reduce industrial production by a maximum of 4.3 percent after about 22 months (highly significant, t-statistics above 2.5 from month 17 through 27), an effect that becomes imprecisely estimated by month 48 (-1.7 percent, two-standard-error band -6.4 to +3.0); prices are essentially unaffected for roughly the first two years and then fall substantially, reaching -5.9 percent (t=5.5) at month 48, with no statistically significant price puzzle at any horizon &amp;ndash; a sharp contrast with regressions using the actual funds rate, which produce a sustained roughly one-percent rise in prices over the same period. A three-variable recursive VAR (industrial production, PPI, cumulated shock) broadly confirms these patterns, with a smaller peak output effect (-2.9 percent) that the authors attribute to the VAR&amp;rsquo;s shock being transitory rather than the permanent shock assumed in the single-equation exercise. Controlling for world commodity prices changes results only modestly, which the authors read as evidence the measure is not substantially contaminated by responses to supply shocks; correcting for either endogeneity or anticipatory movements alone, by contrast, is shown to produce much smaller effects than correcting for both together. Central caveats: the sample is constrained to end in 1996 by the five-year Greenbook data embargo (excluding the later Greenspan tenure and the entire post-2008 zero-lower-bound period, to which the intended-funds-rate concept does not apply), a positive coefficient on the first lag of the shock in the output regression traces to a single April 1980 outlier that the authors attribute to sampling error, and the authors themselves flag the lag before prices begin to fall as the paper&amp;rsquo;s &amp;ldquo;most important uncertainty,&amp;rdquo; ranging from about six to twenty-two months across specifications.&lt;/p&gt;</description></item></channel></rss>