Measures of per Capita Hours and Their Implications for the Technology‐Hours Debate

By Neville R. Francis, V. Ramey. 2009

223 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Health Professions

View Paper: https://www.semanticscholar.org/paper/9addeff332c2d28dab31c0c11b8b56094760a50b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In General Health Professions

Citations in the corpus

Is there a trade-off between inflation and output stabilization? (2013, background): “…divided by the civilian non-institutional population (16 years and older).3 The series of hours for the total economy exhibits a less pronounced low frequency behavior than that for the non-farm business sector, because it accounts better for sectoral shifts, as shown by Francis and Ramey (2009).”
How Do Hours Worked Vary with Income? Cross-Country Evidence and Implications (2018, unknown): “, Prescott (2004), Rogerson (2006), McDaniel (2011) and Bick and Fuchs-Schündeln (2017)), institutions (Alesina et al.”
Macroeconomic Shocks and Their Propagation (2016, background): “Many analyses now include a broken trend or a quadratic trend to capture features such as the productivity slowdown in 1974 or the effect of the baby boom moving through the macroeconomic variables (eg, Perron, 1989; Francis and Ramey, 2009).”
Forward Guidance and Macroeconomic Outcomes since the Financial Crisis (2016, background): “23See Francis and Ramey (2009), Gaĺı (2005) and Ramey (2012) for related discussions of nonstationarity in per capita hours worked. where H, which is not measured, denotes economy-wide civilian hours; Hpb and Epb denote hours and employment in the private business sector obtained from the BLS’…”
Can Long-Run Restrictions Identify Technology Shocks? (2005, methodology): “32. This is lower than the value of around 4 for φi used by Christiano, Eichenbaum, and Evans (2005), who estimated φi based on the response of investment to a monetary shock.”