Category Archives: recession

Multipliers, under Differing Monetary Regimes

Here’s another installment in a series attempting to move the discussion from “my estimate vs. your estimate” (or “prior”, as the case may be) [1] [2] [3] [4] [5] [6] to something more constructive (and hopefully more nuanced). From the conclusion to “Expectations and Fiscal Stimulus” by Troy Davig and Eric M. Leeper:

This paper has embedded estimated Markov-switching rules for U.S. monetary and fiscal policy into an otherwise conventional calibrated DSGE model with nominal rigidities to deliver some quantitative predictions of the impacts of government
spending increases. When monetary and fiscal policy regimes vary — from active monetary/passive fiscal to passive monetary/active fiscal to doubly passive to doubly active — government spending multipliers can vary widely. An increase in government spending of $1 in present value raises output by $0.80 in present value under
[Active Money/Passive Fiscal] AM/PF, while it raises output by as much as $1.80 in present value when monetary policy is passive. In our simple model, this translates into a decrease in consumption of $0.20 in present value under AM/PF, but an increase in consumption of about $0.80 in present value under passive monetary policy.

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Been down so long it looks like up

The Commerce Department reported today that the seasonally adjusted real value of the nation’s production of goods and services fell at a 1% annual rate during the second quarter. That’s about as bad as things ever got during the recession of 2001. But after the -5.4% and -6.4% growth rates that the Commerce Department now says characterized 2008:Q4 and 2009:Q1, some folks are cheering today’s news. Reminds me a little of how I’ve seen people in Minnesota take off their shirts for the first 40oF day of spring, a little shocking to a traveler from San Diego.

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Are Unemployment Statistics Meaningless? Are Spillover Effects Zero?

Casey Mulligan rebuts my post asserting slack in the economy by posing the scenario “Construction Workers Teaching Kindergarten” (Note: Mulligan’s blog is down; here is an alternative link currently working – 8/2/09). He writes:

Econbrowser now claims* that the stimulus bill can be effective, because unemployment rates are high (whatever that means) in health care and education. Let’s take a look at employment changes Dec 2007 – June 2009 (millions) by industry:

 

Total nonfarm payrolls: -6.5

Construction: -1.3

Manufacturering: -1.9

Education and Health: +0.7

How exactly is fiscal policy going to create 3.5 million jobs by primarily hiring people in education and health? I see only two scenarios, both absurd and/or dishonest:

He argues these two scenarios are: (1) “The construction workers become kindergarten teachers” or (2) “The people in construction and manufacturing stay unemployed.”

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Output Gap Measurement and Prospects in the Wake of the Crisis

Different concepts of potential GDP

For serious macroeconomists, the magnitude (or existence) of the output gap is a central factor for determining the appropriate policy actions (see for instance Weidner and Williams). In several recent posts, I’ve discussed the variety of approaches to estimating the output gap [0] [1]. A recent symposium on Projecting Potential Growth published by the Federal Reserve Bank of St. Louis is an excellent resource for anybody who wants to think seriously and carefully about the challenges in estimating this variable. In the lead article entitled “What Do We Know (And Not Know) About Potential Output?”, the authors Susanto Basu and John Fernald write:

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Casey Mulligan on the Stimulus: Stock-Flow Mismatch, Sectoral Stimulus Mismatch, and Construction Crowding Out

In today’s Economix post, Casey Mulligan argues that the greater than predicted unemployment numbers should not be ascribed to the negative effect of the stimulus, but rather to bigger than anticipated negative shocks.

We cannot blame the Obama administration for failing to predict June’s 9.5 percent unemployment rate. That result just shows the size of the shocks hitting the economy: Even the best forecasters can miss the unemployment rate by almost two percentage points, even when forecasting fewer than six months ahead.

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