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

United States - Sticky Price Consumer Price Index was 3.43352 % Chg. from Yr. Ago in July 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 September of 2025.

Graph and download economic data for Sticky Price Consumer Price Index (STICKCPIM679SFRBATL) from Apr 1967 to Aug 2025 about sticky, CPI, rate, price index, indexes, price, and USA.

United States - Sticky Price Consumer Price Index less Shelter was 2.95337 % Chg. from Yr. Ago in July 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 September of 2025.

United States - Sticky Price Consumer Price Index less Shelter was 0.46338 % Chg. in July 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 September of 2025.

View monthly updates and historical trends for Core Sticky Price CPI Excluding Shelter. from United States. Source: Federal Reserve Bank of Atlanta. Track…

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.

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.

Analyzing 50 years of inflation expectations data from several sources, we document substantial disagreement among both consumers and professional economists about expected future inflation. Moreover, this disagreement shows substantial variation through time, moving with inflation, the absolute value of the change in inflation, and relative price variability. We argue that a satisfactory model of economic dynamics must speak to these important business cycle moments. Noting that most macroeconomic models do not endogenously generate disagreement, we show that a simple "sticky-information" model broadly matches many of these facts. Moreover, the sticky-information model is consistent with other observed departures of inflation expectations from full rationality, including autocorrelated forecast errors and insufficient sensitivity to recent macroeconomic news.

The Consumer Price Index in Germany increased 0.10 percent in August 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.

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 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.

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.

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)

Replication package for the manuscript "Fiscal Multipliers, Trend Inflation, and Endogenous Price Stickiness: Evidence from the U.S.".

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.

Following Driscoll and Holden (2004), I model forward-looking workers who consider it unfair if a wage adjustment fails to match past inflation. However, the present paper proposes a much larger effect by using the job finding rate as the measure of worker's opportunities outside the firm rather than the unemployment rate, develops a dynamic model with imperfect monitoring, and simulates a credible gradual disinflation with a large sacrifice ratio. It also uses the model to discuss real adverse shocks, the manner in which indexation is used in New Keynesian models, and the use of sticky information to explain disinflation costs.

The Real Estate Valuation Services industry has undergone tumultuous conditions over the five years through 2024-25. During the pandemic, the Federal Reserve of Australia cut interest rates to near 0% as it acted to stimulate the Australian economy. With these record-low rates, many homeowners took the opportunity to refinance mortgages, capturing equity and substantially reducing their monthly repayments. Real estate valuators benefited from this trend by providing services to determine property value, enabling lending institutions to price and later approve new loans accurately. More recently, interest rates have been hiked in an effort to curb sticky inflation. This has led to declining revenue for the Real Estate Valuation Services industry, creating highly volatile conditions. Overall, revenue is expected to have slumped at an annualised 3.1% over the five years through 2024-25, to $600.9 million. This includes an anticipated drop of 0.3% in 2024-25. Historically, a few providers have dominated the industry’s intense market concentration. However, the emergence of independent, single-employee businesses and the increasing availability of efficient valuation software have intensified price competition within the industry, eroding industrywide profitability. In the coming years, the industry will benefit from lower interest rates, which will once again empower more households to refinance mortgages. The number of dwelling commencements is also projected to rebound, providing ample work for valuers through an influx of initial appraisals. The Real Estate Valuation Services industry's revenue is forecast to expand at an annualised 3.1% over the five years through 2029-30, to $701.1 billion.