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The PCE price index (PePP), also referred to as the PCE deflator, PCE price deflator, or the Implicit Price Deflator for Personal Consumption Expenditures (IPD for PCE) by the Bureau of Economic Analysis (BEA) and as the Chain-type Price Index for Personal Consumption Expenditures (CTPIPCE) by the Federal Open Market Committee (FOMC), is a United States-wide indicator of the average increase ...
Passenger car equivalent (PCE) or passenger car unit (PCU) is a metric used in transportation engineering to assess traffic-flow rate on a highway. [1]A passenger car equivalent is essentially the impact that a mode of transport has on traffic variables (such as headway, speed, density) compared to a single car.
However, with regard to calculating inflation, the Federal Reserve no longer uses the CPI, preferring to use core PCE instead. Some critics believe that changes in CPI calculation due to the Boskin Commission have led to dramatic cuts in inflation estimates. They believe that using pre-Boskin methods, which they also think are still used by ...
The core PCE index — the Fed's preferred gauge of underlying inflation stripping out volatile food and energy prices — likely also ramped compared to December's index. Consensus economists are ...
The core PCE index, which the Fed uses to conduct monetary policy, is also expected to show an increase when the print publishes Wednesday. Consensus economists are looking for a 5.5% increase in ...
A CPI is a statistical estimate constructed using the prices of a sample of representative items whose prices are collected periodically. Sub-indices and sub-sub-indices can be computed for different categories and sub-categories of goods and services, which are combined to produce the overall index with weights reflecting their shares in the total of the consumer expenditures covered by the ...
Social Security benefits received a 2.5% cost-of-living adjustment (COLA) in 2025, but for many retirees, this is not enough to keep up with rising prices. Their monthly checks don't go as far as ...
The original PCE formulation used by Norbert Wiener [2] was limited to the case where is a random vector with a Gaussian distribution. Considering only the one-dimensional case (i.e., = and =), the polynomial basis function orthogonal w.r.t. the Gaussian distribution are the set of -th degree Hermite polynomials.