Inflation Rate in Lebanon decreased to 15.60 percent in February from 16.10 percent in January of 2025. This dataset provides the latest reported value for - Lebanon Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Inflation Rate in Morocco increased to 2.60 percent in February from 2 percent in January of 2025. This dataset provides - Morocco Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Expectations in Dominican Republic decreased to 3.84 percent in February from 3.89 percent in January of 2025. This dataset provides - Dominican Republic Inflation Expectations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2023 about consumer, CPI, inflation, price index, indexes, price, and USA.

Iceland IS: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data was reported at 0.482 % in 2017. This records a decrease from the previous number of 2.113 % for 2016. Iceland IS: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data is updated yearly, averaging 4.072 % from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 11.865 % in 2008 and a record low of 0.482 % in 2017. Iceland IS: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iceland – Table IS.World Bank: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years.; ; World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.; ;

Inflation Rate in Panama decreased by 0.14 percent in February from -0.18 percent in January of 2025. This dataset provides - Panama Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Indonesia Wholesale Price Index: Imports: PPI: pulp data was reported at 224.450 2000=100 in Dec 2008. This records a decrease from the previous number of 250.580 2000=100 for Nov 2008. Indonesia Wholesale Price Index: Imports: PPI: pulp data is updated monthly, averaging 136.145 2000=100 from Jan 2000 (Median) to Dec 2008, with 108 observations. The data reached an all-time high of 250.580 2000=100 in Nov 2008 and a record low of 71.970 2000=100 in Jan 2000. Indonesia Wholesale Price Index: Imports: PPI: pulp data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IB005: Wholesale Price Index: by Sector: Imports.

Grenada GD: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data was reported at 2.120 % in 2017. This records a decrease from the previous number of 2.172 % for 2016. Grenada GD: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data is updated yearly, averaging 2.158 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 7.846 % in 2008 and a record low of -0.077 % in 2003. Grenada GD: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Grenada – Table GD.World Bank.WDI: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years.; ; World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.; ;

Replication files for "Job-to-Job Mobility and Inflation" Authors: Renato Faccini and Leonardo Melosi Review of Economics and Statistics Date: February 2, 2023 -------------------------------------------------------------------------------------------- ORDERS OF TOPICS .Section 1. We explain the code to replicate all the figures in the paper (except Figure 6) .Section 2. We explain how Figure 6 is constructed .Section 3. We explain how the data are constructed SECTION 1 Replication_Main.m is used to reproduce all the figures of the paper except Figure 6. All the primitive variables are defined in the code and all the steps are commented in code to facilitate the replication of our results. Replication_Main.m, should be run in Matlab. The authors tested it on a DELL XPS 15 7590 laptop wih the follwoing characteristics: -------------------------------------------------------------------------------------------- Processor Intel(R) Core(TM) i9-9980HK CPU @ 2.40GHz 2.40 GHz Installed RAM 64.0 GB System type 64-bit operating system, x64-based processor -------------------------------------------------------------------------------------------- It took 2 minutes and 57 seconds for this machine to construct Figures 1, 2, 3, 4a, 4b, 5, 7a, and 7b. The following version of Matlab and Matlab toolboxes has been used for the test: -------------------------------------------------------------------------------------------- MATLAB Version: 9.7.0.1190202 (R2019b) MATLAB License Number: 363305 Operating System: Microsoft Windows 10 Enterprise Version 10.0 (Build 19045) Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode -------------------------------------------------------------------------------------------- MATLAB Version 9.7 (R2019b) Financial Toolbox Version 5.14 (R2019b) Optimization Toolbox Version 8.4 (R2019b) Statistics and Machine Learning Toolbox Version 11.6 (R2019b) Symbolic Math Toolbox Version 8.4 (R2019b) -------------------------------------------------------------------------------------------- The replication code uses auxiliary files and save the pictures in various subfolders: \JL_models: It contains the equations describing the model including the observation equations and routine used to solve the model. To do so, the routine in this folder calls other routines located in some fo the subfolders below. \gensystoama: It contains a set of codes that allow us to solve linear rational expectations models. We use the AMA solver. More information are provided in the file AMASOLVE.m. The codes in this subfolder have been developed by Alejandro Justiniano. \filters: it contains the Kalman filter augmented with a routine to make sure that the zero lower bound constraint for the nominal interest rate is satisfied in every period in our sample. \SteadyStateSolver: It contains a set of routines that are used to solved the steady state of the model numerically. \NLEquations: It contains some of the equations of the model that are log-linearized using the symbolic toolbox of matlab. \NberDates: It contains a set of routines that allows to add shaded area to graphs to denote NBER recessions. \Graphics: It contains useful codes enabling features to construct some of the graphs in the paper. \Data: it contains the data set used in the paper. \Params: It contains a spreadsheet with the values attributes to the model parameters. \VAR_Estimation: It contains the forecasts implied by the Bayesian VAR model of Section 2. The output of Replication_Main.m are the figures of the paper that are stored in the subfolder \Figures SECTION 2 The Excel file "Figure-6.xlsx" is used to create the charts in Figure 6. All three panels of the charts (A, B, and C) plot a measure of unexpected wage inflation against the unemployment rate, then fits separate linear regressions for the periods 1960-1985,1986-2007, and 2008-2009. Unexpected wage inflation is given by the difference between wage growth and a measure of expected wage growth. In all three panels, the unemployment rate used is the civilian unemployment rate (UNRATE), seasonally adjusted, from the BLS. The sheet "Panel A" uses quarterly manufacturing sector average hourly earnings growth data, seasonally adjusted (CES3000000008), from the Bureau of Labor Statistics (BLS) Employment Situation report as the measure of wage inflation. The unexpected wage inflation is given by the difference between earnings growth at time t and the average of earnings growth across the previous four months. Growth rates are annualized quarterly values. The sheet "Panel B" uses quarterly Nonfarm Business Sector Compensation Per Hour, seasonally adjusted (COMPNFB), from the BLS Productivity and Costs report as its measure of wage inflation. As in Panel A, expected wage inflation is given by the average wage inflation over the previous four quarters. Growth rates are annualized quarterly values. The sheet "Panel C" uses semiannual manufacturing...

Nauru NR: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data was reported at 3.407 % in 2017. This records a decrease from the previous number of 5.695 % for 2016. Nauru NR: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data is updated yearly, averaging 4.551 % from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 26.152 % in 2009 and a record low of -21.653 % in 2013. Nauru NR: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nauru – Table NR.World Bank: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years.; ; World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.; ;

Inflation Rate in South Sudan increased to 112.60 percent in October from 107.90 percent in September of 2024. This dataset provides - South Sudan Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Core consumer prices in Indonesia increased 2.48 percent in February of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Indonesia Core Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

House Price Index YoY in the United States remained unchanged at 4.80 percent in January. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

Core Inflation Rate MoM in China decreased to -0.20 percent in February from 0.50 percent in January of 2025. This dataset includes a chart with historical data for China Core Inflation Rate MoM.

The Consumer Price Index in the United Arab Emirates increased 0.54 percent in February of 2025 over the previous month. This dataset provides the latest reported value for - United Arab Emirates Inflation Rate MoM - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The USDXOF decreased 1.4362 or 0.23% to 616.0638 on Wednesday April 17 from 617.5000 in the previous trading session. CFA Franc - values, historical data, forecasts and news - updated on March of 2025.

Palau PW: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data was reported at 0.037 % in 2017. This records a decrease from the previous number of 3.221 % for 2016. Palau PW: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data is updated yearly, averaging 2.204 % from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 8.915 % in 2008 and a record low of -3.259 % in 2003. Palau PW: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank.WDI: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years.; ; World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.; ;