100+ datasets found
  1. J

    The global component of inflation volatility (replication data)

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt, zip
    Updated Dec 7, 2022
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    Andrea Carriero; Francesco Corsello; Massimiliano Marcellino; Andrea Carriero; Francesco Corsello; Massimiliano Marcellino (2022). The global component of inflation volatility (replication data) [Dataset]. http://doi.org/10.15456/jae.2022327.072333
    Explore at:
    txt(3439), zip(2270564)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Andrea Carriero; Francesco Corsello; Massimiliano Marcellino; Andrea Carriero; Francesco Corsello; Massimiliano Marcellino
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Global developments play an important role for domestic inflation rates. Earlier literature has found that a substantial amount of the variation in a large set of national inflation rates can be explained by a single global factor. However, inflation volatility has been typically neglected, although it is clearly relevant both from a policy point of view and for structural analysis and forecasting. We study the evolution of inflation rates in several countries, using a novel model that allows for commonality in both levels and volatilities, in addition to country-specific components. We find that inflation volatility is indeed important, and a substantial fraction of it can be attributed to a global factor that is also driving inflation levels and their persistence. The extent of commonality among core inflation rates and volatilities is substantially smaller than for overall inflation, which leaves scope for national monetary policies. Finally, we show that the point and density forecasting performance of the model is good relative to standard benchmarks, which provides additional evidence on its reliability.

  2. d

    Replication Data for: Understanding food inflation in India - A Machine...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Malhotra, Akash (2023). Replication Data for: Understanding food inflation in India - A Machine Learning approach [Dataset]. http://doi.org/10.7910/DVN/JUNBRQ
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Malhotra, Akash
    Description

    Dataset for running Boosted regression with food inflation in India (FY91 - FY16) as dependent variable.

  3. Inflation Nowcasting

    • clevelandfed.org
    json
    Updated Mar 10, 2017
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    Federal Reserve Bank of Cleveland (2017). Inflation Nowcasting [Dataset]. https://www.clevelandfed.org/indicators-and-data/inflation-nowcasting
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    jsonAvailable download formats
    Dataset updated
    Mar 10, 2017
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Federal Reserve Bank of Cleveland provides daily “nowcasts” of inflation for two popular price indexes, the price index for personal consumption expenditures (PCE) and the Consumer Price Index (CPI). These nowcasts give a sense of where inflation is today. Released each business day.

  4. F

    5-Year Breakeven Inflation Rate

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
    + more versions
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    (2025). 5-Year Breakeven Inflation Rate [Dataset]. https://fred.stlouisfed.org/series/T5YIE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 5-Year Breakeven Inflation Rate (T5YIE) from 2003-01-02 to 2025-07-11 about spread, interest rate, interest, 5-year, inflation, rate, and USA.

  5. J

    Oil prices, gasoline prices, and inflation expectations (replication data)

    • journaldata.zbw.eu
    txt, zip
    Updated Dec 7, 2022
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    Lutz Kilian; Xiaoqing Zhou; Lutz Kilian; Xiaoqing Zhou (2022). Oil prices, gasoline prices, and inflation expectations (replication data) [Dataset]. http://doi.org/10.15456/jae.2022327.072416
    Explore at:
    zip(118513277), txt(1970)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Lutz Kilian; Xiaoqing Zhou; Lutz Kilian; Xiaoqing Zhou
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    It has long been suspected, given the salience of gasoline prices, that fluctuations in gasoline prices shift households' 1-year inflation expectations. Assessing this view empirically requires the use of dynamic structural models to quantify the cumulative effect of gasoline price shocks on household inflation expectations at each point in time. We find that, on average, gasoline price shocks account for 42% of the variation in these expectations. The cumulative increase in household inflation expectations from early 2009 to early 2013, in particular, is almost entirely explained by unexpectedly rising gasoline prices. However, there is no support for the view that the improved fit of the Phillips curve augmented by household inflation expectations during 2009 2013 is mainly explained by rising gasoline prices.

  6. o

    Replication data for: Understanding the Great Recession

    • openicpsr.org
    Updated Jan 1, 2015
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    Lawrence J. Christiano; Martin S. Eichenbaum; Mathias Trabandt (2015). Replication data for: Understanding the Great Recession [Dataset]. http://doi.org/10.3886/E114095V1
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    Dataset updated
    Jan 1, 2015
    Dataset provided by
    American Economic Association
    Authors
    Lawrence J. Christiano; Martin S. Eichenbaum; Mathias Trabandt
    Description

    We argue that the vast bulk of movements in aggregate real economic activity during the Great Recession were due to financial frictions. We reach this conclusion by looking through the lens of an estimated New Keynesian model in which firms face moderate degrees of price rigidities, no nominal rigidities in wages, and a binding zero lower bound constraint on the nominal interest rate. Our model does a good job of accounting for the joint behavior of labor and goods markets, as well as inflation, during the Great Recession. According to the model the observed fall in total factor productivity and the rise in the cost of working capital played critical roles in accounting for the small drop in inflation that occurred during the Great Recession. (JEL E12, E23, E24, E31, E32, E52)

  7. Inflation Expectations

    • clevelandfed.org
    csv
    Updated Jun 11, 2025
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    Federal Reserve Bank of Cleveland (2025). Inflation Expectations [Dataset]. https://www.clevelandfed.org/indicators-and-data/inflation-expectations
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    We report average expected inflation rates over the next one through 30 years. Our estimates of expected inflation rates are calculated using a Federal Reserve Bank of Cleveland model that combines financial data and survey-based measures. Released monthly.

  8. U.S. projected annual inflation rate 2010-2029

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). U.S. projected annual inflation rate 2010-2029 [Dataset]. https://www.statista.com/statistics/244983/projected-inflation-rate-in-the-united-states/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The inflation rate in the United States is expected to decrease to 2.1 percent by 2029. 2022 saw a year of exceptionally high inflation, reaching eight percent for the year. The data represents U.S. city averages. The base period was 1982-84. In economics, the inflation rate is a measurement of inflation, the rate of increase of a price index (in this case: consumer price index). It is the percentage rate of change in prices level over time. The rate of decrease in the purchasing power of money is approximately equal. According to the forecast, prices will increase by 2.9 percent in 2024. The annual inflation rate for previous years can be found here and the consumer price index for all urban consumers here. The monthly inflation rate for the United States can also be accessed here. Inflation in the U.S.Inflation is a term used to describe a general rise in the price of goods and services in an economy over a given period of time. Inflation in the United States is calculated using the consumer price index (CPI). The consumer price index is a measure of change in the price level of a preselected market basket of consumer goods and services purchased by households. This forecast of U.S. inflation was prepared by the International Monetary Fund. They project that inflation will stay higher than average throughout 2023, followed by a decrease to around roughly two percent annual rise in the general level of prices until 2028. Considering the annual inflation rate in the United States in 2021, a two percent inflation rate is a very moderate projection. The 2022 spike in inflation in the United States and worldwide is due to a variety of factors that have put constraints on various aspects of the economy. These factors include COVID-19 pandemic spending and supply-chain constraints, disruptions due to the war in Ukraine, and pandemic related changes in the labor force. Although the moderate inflation of prices between two and three percent is considered normal in a modern economy, countries’ central banks try to prevent severe inflation and deflation to keep the growth of prices to a minimum. Severe inflation is considered dangerous to a country’s economy because it can rapidly diminish the population’s purchasing power and thus damage the GDP .

  9. T

    United States Consumer Inflation Expectations

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 9, 2025
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    United States Consumer Inflation Expectations [Dataset]. https://tradingeconomics.com/united-states/inflation-expectations
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 30, 2013 - Jun 30, 2025
    Area covered
    United States
    Description

    Inflation Expectations in the United States decreased to 3 percent in June from 3.20 percent in May of 2025. This dataset provides - United States Consumer Inflation Expectations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. T

    Jordan Inflation Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 11, 2025
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    TRADING ECONOMICS (2025). Jordan Inflation Rate [Dataset]. https://tradingeconomics.com/jordan/inflation-cpi
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1977 - Jun 30, 2025
    Area covered
    Jordan
    Description

    Inflation Rate in Jordan increased to 2 percent in June from 1.98 percent in May of 2025. This dataset provides the latest reported value for - Jordan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. M

    U.S. Inflation Rate 1960-2025

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). U.S. Inflation Rate 1960-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/inflation-rate-cpi
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1960 - May 31, 2025
    Area covered
    United States
    Description
    U.S. inflation rate for 2023 was 4.13%, a 3.88% decline from 2022.
    <ul style='margin-top:20px;'>
    
    <li>U.S. inflation rate for 2022 was <strong>8.00%</strong>, a <strong>3.3% increase</strong> from 2021.</li>
    <li>U.S. inflation rate for 2021 was <strong>4.70%</strong>, a <strong>3.46% increase</strong> from 2020.</li>
    <li>U.S. inflation rate for 2020 was <strong>1.23%</strong>, a <strong>0.58% decline</strong> from 2019.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  12. F

    10-Year Expected Inflation

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
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    (2025). 10-Year Expected Inflation [Dataset]. https://fred.stlouisfed.org/series/EXPINF10YR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for 10-Year Expected Inflation (EXPINF10YR) from Jan 1982 to Jun 2025 about projection, 10-year, inflation, and USA.

  13. United States Breakeven Inflation: 5-Year

    • ceicdata.com
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    United States Breakeven Inflation: 5-Year [Dataset]. https://www.ceicdata.com/en/united-states/breakeven-inflation-rate/breakeven-inflation-5year
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 10, 2025 - Mar 25, 2025
    Area covered
    United States
    Variables measured
    Indicator
    Description

    United States Breakeven Inflation: 5-Year data was reported at 2.410 % in 15 May 2025. This records a decrease from the previous number of 2.440 % for 14 May 2025. United States Breakeven Inflation: 5-Year data is updated daily, averaging 1.900 % from Jan 2003 (Median) to 15 May 2025, with 5597 observations. The data reached an all-time high of 3.590 % in 25 Mar 2022 and a record low of 0.140 % in 19 Mar 2020. United States Breakeven Inflation: 5-Year data remains active status in CEIC and is reported by Federal Reserve Bank of St. Louis. The data is categorized under Global Database’s United States – Table US.I: Breakeven Inflation Rate. [COVID-19-IMPACT]

  14. o

    Replication data for: Inflation Expectations, Learning, and Supermarket...

    • openicpsr.org
    Updated Jul 1, 2017
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    Alberto Cavallo; Guillermo Cruces; Ricardo Perez-Truglia (2017). Replication data for: Inflation Expectations, Learning, and Supermarket Prices: Evidence from Survey Experiments [Dataset]. http://doi.org/10.3886/E114118V1
    Explore at:
    Dataset updated
    Jul 1, 2017
    Dataset provided by
    American Economic Association
    Authors
    Alberto Cavallo; Guillermo Cruces; Ricardo Perez-Truglia
    Description

    Information frictions play a central role in the formation of household inflation expectations, but there is no consensus about their origins. We address this question with novel evidence from survey experiments. We document two main findings. First, individuals in low inflation contexts have significantly weaker priors about the inflation rate. This finding suggests that rational inattention may be an important source of information frictions. Second, cognitive limitations also appear to be a source of information frictions: even when information about inflation statistics is available, individuals still place a significant weight on inaccurate sources of information, such as their memories of the price changes of the supermarket products they purchase. We discuss the implications of these findings for macroeconomic models and policymaking.

  15. T

    Norway Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 10, 2025
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    TRADING ECONOMICS (2025). Norway Inflation Rate [Dataset]. https://tradingeconomics.com/norway/inflation-cpi
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1950 - Jun 30, 2025
    Area covered
    Norway
    Description

    Inflation Rate in Norway remained unchanged at 3 percent in June. This dataset provides - Norway Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. d

    Strategic Measure_Cost of City Services per Capita Adjusted for Inflation...

    • catalog.data.gov
    • data.austintexas.gov
    • +2more
    Updated Jun 25, 2025
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    data.austintexas.gov (2025). Strategic Measure_Cost of City Services per Capita Adjusted for Inflation (General Fund only) [Dataset]. https://catalog.data.gov/dataset/strategic-measure-cost-of-city-services-per-capita-adjusted-for-inflation-general-fund-onl
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    Dataset updated
    Jun 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    This dataset has information about the cost of providing General Fund City services per capita of the Full Purpose City population (SD23 measure GTW.A.4). It provides expense information from the annual approved budget document (General Fund Summary and Budget Stabilization Reserve Fund Summary) and population information from the City Demographer's Full Purpose Population numbers. The Consumer Price Index information for Texas is available through the following Key Economic Indicators dataset: https://data.texas.gov/dataset/Key-Economic-Indicators/karz-jr5v. This dataset can be used to help understand the cost of city services over time. View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/ixex-hibp

  17. J

    Output and inflation in the long run (replication data)

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt, zip
    Updated Dec 8, 2022
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    Neil R. Ericsson; John S. Irons; Ralph W. Tryon; Neil R. Ericsson; John S. Irons; Ralph W. Tryon (2022). Output and inflation in the long run (replication data) [Dataset]. http://doi.org/10.15456/jae.2022314.0708044477
    Explore at:
    zip(2235580), txt(14551)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Neil R. Ericsson; John S. Irons; Ralph W. Tryon; Neil R. Ericsson; John S. Irons; Ralph W. Tryon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Cross-country regressions explaining output growth often obtain a negative effect from inflation. However, that result is not robust, due to the selection of countries in sample, temporal aggregation, and omission of consequential variables in levels. This paper demonstrates some implications of these mis-specifications, both analytically and empirically. In particular, for most G-7 countries, annual time series of inflation and the log-level of output are cointegrated, thus rejecting the existence of a long-run relation between output growth and inflation. Typically, output and inflation are positively related in these cointegrating relationships: a price markup model helps to interpret this surprising feature.

  18. o

    Data and Code for: Measuring Inflation Expectations in Interwar Britain

    • openicpsr.org
    Updated Sep 6, 2022
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    Jason lennard (2022). Data and Code for: Measuring Inflation Expectations in Interwar Britain [Dataset]. http://doi.org/10.3886/E179361V1
    Explore at:
    Dataset updated
    Sep 6, 2022
    Dataset provided by
    London School of Economics
    Authors
    Jason lennard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    What caused the recovery from the British Great Depression? A leading explanation - the “expectations channel” - suggests that a shift in expected inflation lowered real interest rates and stimulated consumption and investment. However, few studies have measured, or tested the economic consequences of, inflation expectations. In this paper, we collect high-frequency information from primary and secondary sources to measure expected inflation in the United Kingdom between the wars. A VAR model suggests that inflation expectations were an important source of the early stages of economic recovery in interwar Britain.

  19. United States SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 1%...

    • ceicdata.com
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    CEICdata.com, United States SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 1% to 2% [Dataset]. https://www.ceicdata.com/en/united-states/survey-of-consumer-expectations-inflation
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 1% to 2% data was reported at 6.039 % in Apr 2025. This records a decrease from the previous number of 7.658 % for Mar 2025. SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 1% to 2% data is updated monthly, averaging 12.424 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 18.684 % in Aug 2019 and a record low of 5.037 % in Feb 2022. SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 1% to 2% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

  20. f

    Data from: INFLATION EXPECTATIONS: A SYSTEMATIC LITERATURE REVIEW AND...

    • scielo.figshare.com
    tiff
    Updated Jun 14, 2023
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    Daniel Osorio-Barreto; Pedro Pablo Mejía-Rubio; José Ustorgio Mora-Mora (2023). INFLATION EXPECTATIONS: A SYSTEMATIC LITERATURE REVIEW AND BIBLIOMETRIC ANALYSIS [Dataset]. http://doi.org/10.6084/m9.figshare.21556743.v1
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    SciELO journals
    Authors
    Daniel Osorio-Barreto; Pedro Pablo Mejía-Rubio; José Ustorgio Mora-Mora
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT The main purpose of this work is to conduct a systematic literature review regarding inflation expectations, their determinants, and their implications for policy making in Latin America. The analysis shows the importance of inflation expectations in the countries that use an inflation targeting scheme, while also supporting the idea that inflation expectations can affect other sectors of the economy. As for the determinants of expectations, the findings show the importance of past iterations of expectations, supporting the idea that the inflation expectations are heavily determined by themselves. The amount of research being conducted in this field is not comprehensive. This is even more evident in the Latin American region since it is a recent research field with a meager number of publications, deeming our study useful for future research. The classification process makes it easier to know the most common variables and econometric methods used to find the determinants of inflation expectations and their impact on other economic variables.

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Andrea Carriero; Francesco Corsello; Massimiliano Marcellino; Andrea Carriero; Francesco Corsello; Massimiliano Marcellino (2022). The global component of inflation volatility (replication data) [Dataset]. http://doi.org/10.15456/jae.2022327.072333

The global component of inflation volatility (replication data)

Explore at:
txt(3439), zip(2270564)Available download formats
Dataset updated
Dec 7, 2022
Dataset provided by
ZBW - Leibniz Informationszentrum Wirtschaft
Authors
Andrea Carriero; Francesco Corsello; Massimiliano Marcellino; Andrea Carriero; Francesco Corsello; Massimiliano Marcellino
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Global developments play an important role for domestic inflation rates. Earlier literature has found that a substantial amount of the variation in a large set of national inflation rates can be explained by a single global factor. However, inflation volatility has been typically neglected, although it is clearly relevant both from a policy point of view and for structural analysis and forecasting. We study the evolution of inflation rates in several countries, using a novel model that allows for commonality in both levels and volatilities, in addition to country-specific components. We find that inflation volatility is indeed important, and a substantial fraction of it can be attributed to a global factor that is also driving inflation levels and their persistence. The extent of commonality among core inflation rates and volatilities is substantially smaller than for overall inflation, which leaves scope for national monetary policies. Finally, we show that the point and density forecasting performance of the model is good relative to standard benchmarks, which provides additional evidence on its reliability.

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