The phrase "aggregate fluctuations" is correct and usable in written English.
It can be used in contexts related to economics, statistics, or data analysis to refer to the overall variations or changes in a set of data or metrics.
Example: "The study focused on the aggregate fluctuations in the market over the past decade, highlighting key trends and patterns."
Alternatives: "overall variations" or "cumulative changes".
The shift has been documented by Jonathan A. Parker and Annette Vissing-Jorgenson, finance professors at Northwestern University, in their recent paper, "Who Bears Aggregate Fluctuations and How? Estimates and Implications for Consumption Inequality".
Policy-makers may want to compensate or invest in individuals that are more sensitive to unemployment, or alternatively, reduce aggregate fluctuations by stabilization policies.
A large literature has now developed, starting from Shimer (2005) and summarized nicely in Mortensen and Nagypal (2007), on what model features are necessary for the DMP model to replicate aggregate fluctuations in productivity, unemployment and vacancies.
Monetary, fiscal and, more recently, macroprudential policies take into account the output gap estimates the difference between potential and actual output to adapt their stance in order to reduce possible macroeconomic imbalances/disequilibria and dampen aggregate fluctuations.
These are standard tests proposed by the narrative literature, although it must be stressed that the contemporaneous independence of each tax change with respect to other aggregate fluctuations affecting GDP cannot be tested.
To this end, we develop a quantitative dynamic equilibrium model to illustrate how the contractual structure of the labor market may hide significant undiversified wage risk induced by aggregate fluctuations.
So, about #1: yes, Keynes argued that fluctuations in aggregate demand are usually driven by investment.
Since consumption remains stable, most fluctuations in aggregate demand stem from investment, which is driven by many factors including expectations, "animal spirits", and interest rates.
We found that bath sonication of the aggregates was not reproducible and exposed the aggregates to the temperature fluctuations of the bath water.
For the year 2000 we used data on food supply as compiled by the FAO [58], averaged over the period 1999 2001 in order to avoid climate or other fluctuations, and aggregated to the food categories described in section 2.1.
This is only true if species fluctuate asynchronously so that fluctuations cancel each other at the aggregate scale (synchronous fluctuations have the opposite effect of amplifying variance at the aggregate scale).
