Graph and download economic data for Sticky Price Consumer Price Index less Food and Energy (CORESTICKM159SFRBATL) from Jan 1968 to Jun 2025 about sticky, core, CPI, inflation, rate, price index, indexes, price, and USA.

Graph and download economic data for Sticky Price Consumer Price Index less Food, Energy, and Shelter (CRESTKCPIXSLTRM679SFRBATL) from Apr 1967 to Jun 2025 about shelter, core, CPI, inflation, rate, price index, indexes, price, and USA.

United States - Sticky Price Consumer Price Index was 3.30869 % Chg. from Yr. Ago in June of 2025, according to the United States Federal Reserve. Historically, United States - Sticky Price Consumer Price Index reached a record high of 15.13573 in June of 1980 and a record low of 0.73264 in September of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Sticky Price Consumer Price Index - last updated from the United States Federal Reserve on July of 2025.

The Sticky Price Consumer Price Index (CPI) is calculated from a subset of goods and services included in the CPI that change price relatively infrequently. Because these goods and services change price relatively infrequently, they are thought to incorporate expectations about future inflation to a greater degree than prices that change on a more frequent basis. One possible explanation for sticky prices could be the costs firms incur when changing price.

To obtain more information about this release see: Michael F. Bryan, and Brent H. Meyer. “Are Some Prices in the CPI More Forward Looking Than Others? We Think So.” Economic Commentary (Federal Reserve Bank of Cleveland) (May 19, 2010): 1–6. https://doi.org/10.26509/frbc-ec-201002 (https://doi.org/10.26509/frbc-ec-201002).

United States - Sticky Price Consumer Price Index less Shelter was 0.39844 % Chg. in June of 2025, according to the United States Federal Reserve. Historically, United States - Sticky Price Consumer Price Index less Shelter reached a record high of 1.16743 in June of 1974 and a record low of -0.41800 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Sticky Price Consumer Price Index less Shelter - last updated from the United States Federal Reserve on July of 2025.

United States - Sticky Price Consumer Price Index less Shelter was 2.63318 % Chg. from Yr. Ago in June of 2025, according to the United States Federal Reserve. Historically, United States - Sticky Price Consumer Price Index less Shelter reached a record high of 11.75596 in February of 1975 and a record low of 1.04195 in August of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Sticky Price Consumer Price Index less Shelter - last updated from the United States Federal Reserve on July of 2025.

The canonical inflation specification in sticky-price rational expectations models (the new-Keynesian Phillips curve) is often criticized for failing to account for the dependence of inflation on its own lags. In response, many studies employ a "hybrid" specification in which inflation depends on its lagged and expected future values, together with a driving variable such as the output gap. We consider some simple tests of the hybrid model that are derived from its closed form. We find that the hybrid model describes inflation dynamics poorly, and find little empirical evidence for the type of rational, forward-looking behavior that the model implies.

Graph and download economic data for Sticky Price Consumer Price Index (STICKCPIM159SFRBATL) from Jan 1968 to Jun 2025 about sticky, CPI, rate, price index, indexes, price, and USA.

Hungary Core Inflation: Same Mth PY=100: excl IT: Least Volatile Prices data was reported at 103.011 Same Mth PY=100 in Oct 2018. This records an increase from the previous number of 102.748 Same Mth PY=100 for Sep 2018. Hungary Core Inflation: Same Mth PY=100: excl IT: Least Volatile Prices data is updated monthly, averaging 102.225 Same Mth PY=100 from Jan 2004 (Median) to Oct 2018, with 178 observations. The data reached an all-time high of 105.949 Same Mth PY=100 in May 2004 and a record low of 100.942 Same Mth PY=100 in Sep 2010. Hungary Core Inflation: Same Mth PY=100: excl IT: Least Volatile Prices data remains active status in CEIC and is reported by National Bank of Hungary. The data is categorized under Global Database’s Hungary – Table HU.I012: Core Inflation: Same Month Previous Year=100. The indicator represents Sticky Price Inflation. It is composed of consumer basket items which have shop-level prices that change infrequently. The threshold is 15% per month on average.

We derive a linear-quadratic model that is consistent with sticky prices and search and matching frictions in the labor market. We show that the second-order approximation to the welfare of the representative agent depends on inflation and "gaps" that involve current and lagged unemployment. Our approximation makes explicit how welfare costs are generated by the presence of search frictions. These costs are distinct from the costs associated with relative price dispersion and fluctuations in consumption that appear in standard new Keynesian models. We show the labor market structure has important implications for optimal monetary policy. (JEL E24, E31, E52)

We develop a tractable general equilibrium model that captures the interplay between nominal long-term corporate debt, inflation, and real aggregates. We show that unanticipated inflation changes the real burden of debt and, more significantly, leads to a debt overhang that distorts future investment and production decisions. For these effects to be both large and very persistent, it is essential that debt maturity exceeds one period. We also show that interest rate rules can help stabilize our economy.

This paper develops and analyzes a general-equilibrium model with sticky information. The only rigidity in goods, labor, and financial markets is that agents are inattentive, sporadically updating their information sets, when setting prices, wages, and consumption. After presenting the ingredients of such a model, the paper develops an algorithm to solve this class of models and uses it to study the model's dynamic properties. It then estimates the parameters of the model using U.S. data on five key macroeconomic time series. It finds that information stickiness is present in all markets, and is especially pronounced for consumers and workers. Variance decompositions show that monetary policy and aggregate demand shocks account for most of the variance of inflation, output, and hours.

The Consumer Price Index in Germany increased 0.30 percent in July of 2025 over the previous month. This dataset provides the latest reported value for - Germany Inflation Rate MoM - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This paper presents a dynamic stochastic general-equilibrium model with a single friction in all markets: sticky information. In this economy, agents are inattentive because of costs of acquiring, absorbing and processing information, so that the actions of consumers, workers and firms are slow to incorporate news. This paper presents the details of how an economy with pervasive inattentiveness functions, and develops a set of algorithms that solve the model quickly. It then applies these to estimate the model using data for the United States post-1986 and for the Euro-area post-1993, and to conduct counterfactual policy experiments. The end result is a laboratory that is rich enough to account for the dynamics of at least five macroeconomic series (inflation, output, hours, interest rates, and wages), and which can be used to inform applied monetary policy.

Relative purchasing power parity (PPP) holds for pure price inflations, which affect prices of all goods and services by the same proportion, while leaving relative prices unchanged. Pure price inflations also affect nominal returns of all traded financial assets by exactly the same amount. Recognizing that relative PPP may not hold for the official inflation data constructed from commodity price indices because of relative price changes and other frictions that cause prices to be "sticky," we provide a novel method for extracting a proxy for realized pure price inflation from stock returns. We find strong support for relative PPP in the short run using the extracted inflation measures.

Much research studies US inflation history with a trend-cycle model with unobserved components, where the trend may be viewed as the Fed's evolving inflation target or long-horizon expected inflation. We provide a novel way to measure the slowly evolving trend and the cycle (or inflation gap), by combining inflation predictions from the Survey of Professional Forecasters (SPF) with realized inflation. The SPF forecasts may be treated either as rational expectations (RE) or updating according to a sticky information (SI) law of motion. We estimate RE and SI state-space models with stochastic volatility on samples of consumer price index and gross national product/gross domestic product deflator inflation and the associated SPF inflation predictions using a particle Metropolis-Markov chain Monte Carlo sampler. The trend converges to 2% and its volatility declines over time-two tendencies largely complete by the late 1990s.