<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Edward Nelson | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/edward-nelson/</link><description>Edward Nelson</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/edward-nelson/index.xml" rel="self" type="application/rss+xml"/><item><title>The Federal Reserve's Large-Scale Asset Purchase Programmes: Rationale and Effects</title><link>https://macropaperwarehouse.com/papers/the-federal-reserves-large-scale-asset-purchase-programmes-rationale-and-effects/</link><guid>https://macropaperwarehouse.com/papers/the-federal-reserves-large-scale-asset-purchase-programmes-rationale-and-effects/</guid><description>&lt;p&gt;This 2012 Economic Journal paper by D&amp;rsquo;Amico, English, López-Salido, and Nelson estimates how the Federal Reserve&amp;rsquo;s large-scale asset purchase (LSAP) programmes of 2008-2011 lowered longer-term US Treasury yields, disaggregating the total effect into three transmission channels within a single unified empirical framework that nests all of them: an expectations/signalling channel (LSAPs convey information about the future path of short-term policy rates, operating purely through the expectations hypothesis of the term structure, with no imperfect asset substitution required); a scarcity (preferred-habitat) channel (a Fed purchase withdraws a specific maturity from private holders, creating excess demand that depresses yields at that maturity and nearby ones because investors do not substitute perfectly across maturities); and a duration channel (Fed purchases remove aggregate duration risk from the market, lowering term premiums more broadly across the maturity spectrum). Using weekly CUSIP-level (individual-security) US Treasury data from December 2002 to October 2008 — a pre-LSAP estimation window chosen specifically to avoid endogeneity that contaminates the LSAP period itself, since the Fed tended to buy securities precisely when yields were rising — the authors regress yields and term-premium components on the fraction of privately held nominal Treasuries in a given maturity bucket (PHNT) and an aggregate duration-risk gap measure (DG), finding both coefficients positive and statistically significant across maturities from 7 to 30 years (adjusted R-squared of 0.46-0.70), a result that survives controlling for Treasury option-implied volatility, a flight-to-quality proxy, and a business-conditions index. Applying these pre-crisis coefficients to the actual scale and maturity concentration of the LSAP programmes, the authors estimate the first LSAP ($300 billion, concentrated in the 2-10 year sector) lowered longer-term Treasury yields by roughly 35 basis points (about 23bp from the scarcity channel plus 12bp from the duration channel), and the second LSAP ($600 billion) by roughly 45 basis points (about 35bp scarcity plus 10bp duration) — equivalent, using a standard rule-of-thumb conversion, to federal-funds-rate cuts of about 140 and 180 basis points respectively. A supporting intraday event study of the August 10, 2010 FOMC/FRBNY reinvestment announcement, together with the finding that scarcity and duration coefficients remain significant when controlling for proxies of expected short-rate paths, leads the authors to state that their results suggest LSAPs do not operate solely or even primarily via the expectations channel, and that preferred-habitat elements are a necessary ingredient for understanding monetary transmission to long-term rates even away from the zero lower bound (their pre-LSAP sample predates the ZLB period). The scope of the quantitative results is explicitly limited to nominal Treasury securities — the paper does not directly quantify the effects of the agency debt and MBS purchased in the first LSAP round — and rests on extrapolating relationships estimated in a short, pre-crisis, non-LSAP sample to the LSAP period, a limitation the authors themselves flag.&lt;/p&gt;</description></item><item><title>The future of monetary aggregates in monetary policy analysis</title><link>https://macropaperwarehouse.com/papers/the-future-of-monetary-aggregates-in-monetary-policy-analysis/</link><guid>https://macropaperwarehouse.com/papers/the-future-of-monetary-aggregates-in-monetary-policy-analysis/</guid><description>&lt;p&gt;This 2003 Journal of Monetary Economics paper by Edward Nelson (Bank of England) asks whether the New Keynesian models that had displaced money-focused monetarist analysis by the early 2000s still leave a meaningful role for monetary aggregates, organized around four questions: whether these models imply inflation is governed in the long run by money growth as the quantity theory holds; whether their inflation dynamics can be given a conventional quantity-theory interpretation; whether their transmission mechanism from policy to aggregate demand is basically the same as that of pre-1990s monetarist models; and whether elements of the older transmission-mechanism literature could usefully be added back into current models. Working through a stylized three-equation New Keynesian system (an IS curve, an expectations-augmented Phillips curve, and a Fisher equation, none of which contains an explicit money term) together with a Friedman (1956)-style money demand equation and the Friedman-Brunner-Meltzer transmission argument, Nelson argues the answer to all four questions is, in a qualified sense, &amp;ldquo;yes.&amp;rdquo; On the inflation side, following McCallum (2001) he shows the three-equation system&amp;rsquo;s constant terms still imply a unitary long-run link between nominal money growth and inflation even though money never appears in the dynamic equations, so that &amp;ldquo;inflation is always and everywhere a monetary phenomenon&amp;rdquo; (AEMP) survives as a valid steady-state proposition, distinct from and not tested by the model&amp;rsquo;s contemporaneous inflation dynamics; he supports this with simple annual US regressions using Batini and Nelson&amp;rsquo;s (2001) data over January 1970-August 2001, in which inflation regressed on contemporaneous M2 growth alone gives a coefficient of 0.211 (R²=0.052), while inflation regressed on M2 growth lagged two, three, and four years gives a coefficient sum of 0.814 (R²=0.555) &amp;ndash; a pattern he reads as consistent with Friedman&amp;rsquo;s &amp;ldquo;long and variable lags&amp;rdquo; rather than as evidence against AEMP, and he separately argues that De Grauwe and Polan&amp;rsquo;s (2001) cross-country rejection of AEMP is undermined by their pooling of countries with different steady-state velocity trends, use of break-ridden IFS monetary aggregates, and failure to allow for lags. On the transmission side, Nelson argues that money&amp;rsquo;s relevance for aggregate demand does not require a real-balance or wealth effect &amp;ndash; which Friedman (&amp;ldquo;I never have believed that the real balance effect is of much empirical significance,&amp;rdquo; 1972) and Brunner and Meltzer (1968) explicitly disclaimed &amp;ndash; but instead rests on money serving as a proxy for a &amp;ldquo;spectrum&amp;rdquo; of asset yields relevant to spending, provided money demand follows Friedman&amp;rsquo;s (1956) multi-yield specification rather than the textbook short-rate-only LM function; empirical work (Anderson and Rasche, 2001; Gerlach and Svensson, 2002) documenting a robust role for the long-term rate in money demand is consistent with this view once portfolio adjustment costs are allowed to generate forward- and backward-looking money demand dynamics. He formalizes this in a calibrated optimal-monetary-policy simulation, following Aoki (2002) and Svensson and Woodford (2002), in which a central bank sets policy under noisy real-time data on output and inflation: introducing a Friedman-Meltzer money demand function (with coefficients of 0.47 on expected future real balances and 0.48 on lagged real balances) raises the optimal policy response to money-growth news from 0.170 to 0.235 &amp;ndash; about a third &amp;ndash; while leaving the optimal responses to inflation and output news (0.262 and 3.631, respectively) unchanged. The paper is explicitly theoretical and illustrative rather than a full empirical test: its inflation-money regressions are simple reduced-form OLS with no VAR or instrumental-variables identification, and the policy-simulation results come from a calibrated model rather than an estimated one, so parameter uncertainty is not assessed.&lt;/p&gt;</description></item></channel></rss>