2014
DOI: 10.2139/ssrn.2471035
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Aggregate Demand, Idle Time, and Unemployment

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Cited by 10 publications
(13 citation statements)
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“…In addition to retail, much manufacturing in this setting is on demand; for example, a mill owner waits for customers to bring grain and then grinds it for them. The existence of slack may help account for the large multiplier we document, as has also recently been argued in US data, especially in poorer US regions (Michaillat and Saez 2015;Murphy 2017).…”
supporting
confidence: 64%
“…In addition to retail, much manufacturing in this setting is on demand; for example, a mill owner waits for customers to bring grain and then grinds it for them. The existence of slack may help account for the large multiplier we document, as has also recently been argued in US data, especially in poorer US regions (Michaillat and Saez 2015;Murphy 2017).…”
supporting
confidence: 64%
“…For the H(•) function, we assume a Cobb-Douglas form, ψ n F j α n I j 1−α , where α = 0.5 imposes symmetry. By setting ψ = 0.54, we get that 88% of product lines for the medium firms are active in the steady state, matching the observed 12% average rate of idleness in the U.S. non-manufacturing and manufacturing sectors before the Great Recession (Michaillat andSaez, 2015, andGhassibe andZanetti, 2020).…”
Section: Calibration and Measurementsupporting
confidence: 62%
“…We begin our analysis with a static model that features a goods market with search-and-matching frictions in spirit of Michaillat and Saez (2015). 4 We assume a competitive labor market.…”
Section: A Model With Search-and-matching Frictions In the Goods Marketmentioning
confidence: 99%
“…Firms hire labor in order to manufacture an endogenous productive capacity (k), and consumers and the government make a total of v visits in order to purchase goods. Due to search-and-matching frictions, part of productive capacity remains idle and not all visits are successful, as encapsulated by the matching function that maps productive capacity (k) and visits (v) into sales (y): Notes: panel (a) shows a time series of the share of current capacity utilized by US rms, as calculated by the Institute for Supply Management (ISM) with NBER recessions denoted by grey shaded areas, as reported by Michaillat and Saez (2015); panel (b) shows the share of successful visits to retail stores on di erent days of the week, as reported by Taylor and Fawce (2001).…”
Section: A Model With Search-and-matching Frictions In the Goods Marketmentioning
confidence: 99%