100+ datasets found
  1. m

    Impact of monetary policy instruments on the Colombian economy: An analysis...

    • data.mendeley.com
    Updated Oct 9, 2024
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    Edward Enrique Escobar-Quiñonez (2024). Impact of monetary policy instruments on the Colombian economy: An analysis of the classical dichotomy and monetary neutrality [Dataset]. http://doi.org/10.17632/rr4h8m666t.2
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    Dataset updated
    Oct 9, 2024
    Authors
    Edward Enrique Escobar-Quiñonez
    License

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

    Area covered
    Colombia
    Description

    This dataset supports the research exploring the impact of monetary policy instruments on the Colombian economy, focusing on the classical dichotomy and monetary neutrality. The analysis delves into how monetary policy, including instruments such as interest rates and money supply, influences both nominal and real variables in the economy. It also highlights the relationship between monetary policy and economic stability, particularly how central banks manage inflation and economic growth. Key sections explore the separation between nominal and real variables as explained by the classical dichotomy, and the principle of monetary neutrality, which argues that changes in money supply affect nominal variables without impacting real economic factors.

    The dataset is structured around a combination of theoretical insights and simulations that analyze the effectiveness of monetary neutrality in the Colombian context, given both domestic and international economic challenges such as the war in Ukraine and agricultural sector disruptions. Through simulations, the dataset demonstrates the effects of monetary expansion on variables like inflation, production, and employment, providing a framework for understanding current economic trends and proposing solutions to socio-economic challenges in Colombia.

  2. Global inflation rate from 2000 to 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 28, 2025
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    Statista (2025). Global inflation rate from 2000 to 2030 [Dataset]. https://www.statista.com/statistics/256598/global-inflation-rate-compared-to-previous-year/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    Worldwide
    Description

    Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

  3. o

    ECIN Replication Package for "Inflation targeting, output stabilization, and...

    • openicpsr.org
    Updated Jun 5, 2024
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    Konstantin Platonov (2024). ECIN Replication Package for "Inflation targeting, output stabilization, and real indeterminacy in monetary models with an interest rate rule" [Dataset]. http://doi.org/10.3886/E204682V2
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    Loyola Marymount University
    Authors
    Konstantin Platonov
    License

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

    Time period covered
    1997 - 2023
    Area covered
    United States
    Description

    Central banks set the nominal interest rate to target inflation and stabilize output. In monetary models, monetary policy affects output directly via the wealth effect. I show that in these models, the response of the central bank to fluctuations in output may induce real indeterminacy even if the Taylor principle is satisfied. I find that the determinacy conditions depend on the interest elasticity of output and generally, the Taylor principle is neither necessary nor sufficient for determinacy. This is in stark contrast with the New Keynesian model where a sufficiently strong policy response to inflation or output usually ensures determinacy.The replication package contains the data used for calibration and Matlab programs used to obtain determinacy regions numerically.

  4. É

    Inflation, annual around the world | TheGlobalEconomy.com

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Mar 29, 2024
    + more versions
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    Globalen LLC (2024). Inflation, annual around the world | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/rankings/inflation_annual/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    Mar 29, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    2025
    Area covered
    Monde
    Description

    Inflation in the table below is defined as the percent change in the CPI from the same month last year. The first column of numbers shows the latest value available from the national authorities and the next two columns show the levels of annual inflation three months and one year prior to the latest release. The data are updated daily. Over long stretches of time - typically years - inflation is a byproduct of the expansion of money supply. In the short run the inflation rate fluctuates with economic growth as recessions slow down the increase in prices and rapid output growth accelerates it. Shits in exchange rates, commodity prices, and natural phenomena like droughts also have an impact. Over time, however, these factors have only a transitory effect and the only variable that matters is money supply growth. The control of inflation is delegated to central banks that typically try to balance between relatively low inflation and low unemployment. For more, you can read our articles about optimal inflation and the causes of inflation in the short run and the long run.

  5. u

    Analysis of volatility spillovers in the stock, currency and goods market...

    • researchdata.up.ac.za
    xlsx
    Updated May 31, 2023
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    Chevaughn van der Westhuizen; Reneé van Eyden; Goodness C. Aye (2023). Analysis of volatility spillovers in the stock, currency and goods market and the monetary policy efficiency within different uncertainty states in these markets [Dataset]. http://doi.org/10.25403/UPresearchdata.22187701.v1
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    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    University of Pretoria
    Authors
    Chevaughn van der Westhuizen; Reneé van Eyden; Goodness C. Aye
    License

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

    Description

    South African monthly The FTSE/JSE All Share Index data was procured from Bloomberg and the nominal effective exchange rate (NEER) from South African Reserve Bank (SARB) database, where the data has been seasonally adjusted specifying 2015 as the base year. Volatility measures in these markets are generated through a multivaraite EGARCH model in the WinRATS software. South African monthly consumer price index (CPI) data was procured from the International Monetary Fund’s International Financial Statistics (IFS) database, where the data has been seasonally adjusted, specifying 2010 as the base year. The inflation rate is constructed by taking the year-on-year changes in the monthly CPI figures. Inflation uncertainty was generated through the GARCH model in Eviews software. The following South African macroeconomic variables were procured from the SARB: real industrial production (IP), which is used as a proxy for real GDP, real investment (I), real consumption (C), inflation (CPI), broad money (M3), the 3-month treasury bill rate (TB3) and the policy rate (R), a measure of U.S. EPU developed by Baker et al. (2016) to account for global developments available at http://www.policyuncertainty.com/us_monthly.html.

  6. Annual inflation rate and monetary base growth rate in the U.S. 1960-2019

    • statista.com
    Updated Jun 13, 2023
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    Statista (2023). Annual inflation rate and monetary base growth rate in the U.S. 1960-2019 [Dataset]. https://www.statista.com/statistics/562010/annual-inflation-rate-monetary-base-growth-rate-usa/
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    Dataset updated
    Jun 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the unadjusted annual inflation rate and monetary base growth rate in the United States from 1960 to 2019. Historic data is shown in 3-year increments. In 2019, prices went up by 1.6 percent compared to 2018. In the same time frame, the monetary base decreased by approximately 0.8 percent.

  7. 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 .

  8. o

    Further Evidence on Inflation Targeting and Income Distribution

    • openicpsr.org
    Updated Sep 17, 2023
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    John Thornton; Chrysovalantis Vasilakis (2023). Further Evidence on Inflation Targeting and Income Distribution [Dataset]. http://doi.org/10.3886/E193861V1
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    Dataset updated
    Sep 17, 2023
    Dataset provided by
    Bangor University
    University of East Anglia
    Authors
    John Thornton; Chrysovalantis Vasilakis
    License

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

    Time period covered
    1980 - 2017
    Area covered
    70 countries
    Description

    This study examines the effect of inflation targeting (IT) on income distribution in a panel of 70 countries. Employing a variety of propensity score matching methods, we find strong evidence that that incomes became more unequal in IT-adopting countries relative to countries that did not adopt IT. On average, IT has been associated with a relative rise in the pre- and post-tax Gini coefficients of about 2 percentage points, and a relative increase in the share of national income going to the top 1% and 10% of households by about 12 percentage points and 13-17 percentage points.

  9. Replication dataset and calculations for PIIE WP 24-13 US Monetary Policy...

    • piie.com
    Updated May 28, 2024
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    David Reifschneider (2024). Replication dataset and calculations for PIIE WP 24-13 US Monetary Policy and the Recent Surge in Inflation by David Reifschneider (2024). [Dataset]. https://www.piie.com/publications/working-papers/2024/us-monetary-policy-and-recent-surge-inflation
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    Dataset updated
    May 28, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    David Reifschneider
    Area covered
    United States
    Description

    This data package includes the underlying data to replicate the charts and calculations presented in US Monetary Policy and the Recent Surge in Inflation, PIIE Working Paper 24-13.

    If you use the data, please cite as:

    Reifschneider, David. 2024. US Monetary Policy and the Recent Surge in Inflation. PIIE Working Paper 24-13. Washington: Peterson Institute for International Economics.

  10. T

    Brazil Inflation Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 10, 2025
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    TRADING ECONOMICS (2025). Brazil Inflation Rate [Dataset]. https://tradingeconomics.com/brazil/inflation-cpi
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    json, excel, xml, csvAvailable 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
    Dec 31, 1980 - May 31, 2025
    Area covered
    Brazil
    Description

    Inflation Rate in Brazil decreased to 5.32 percent in May from 5.53 percent in April of 2025. This dataset provides - Brazil Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. T

    Vietnam Inflation Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 6, 2025
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    TRADING ECONOMICS (2025). Vietnam Inflation Rate [Dataset]. https://tradingeconomics.com/vietnam/inflation-cpi
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 6, 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, 1996 - May 31, 2025
    Area covered
    Vietnam
    Description

    Inflation Rate in Vietnam increased to 3.24 percent in May from 3.12 percent in April of 2025. This dataset provides the latest reported value for - Vietnam Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. U.S. monthly inflation rate 2025

    • ai-chatbox.pro
    • statista.com
    Updated May 20, 2025
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    Abigail Tierney (2025). U.S. monthly inflation rate 2025 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F1685%2Fmortgage-industry-of-the-united-states%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    May 20, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Area covered
    United States
    Description

    In January 2025, prices had increased by three percent compared to January 2024 according to the 12-month percentage change in the consumer price index — the monthly inflation rate for goods and services in the United States. The data represents U.S. city averages. In economics, the inflation rate is a measure of the change in price level over time. The rate of decrease in the purchasing power of money is approximately equal. A projection of the annual U.S. inflation rate can be accessed here and the actual annual inflation rate since 1990 can be accessed here. InflationOne of the most important economic indicators is the development of the Consumer Price Index in a country. The change in this price level of goods and services is defined as the rate of inflation. The inflationary situation in the United States had been relatively severe in 2022 due to global events relating to COVID-19, supply chain restrains, and the Russian invasion of Ukraine. More information on U.S. inflation may be found on our dedicated topic page. The annual inflation rate in the United States has increased from 3.2 percent in 2011 to 8.3 percent in 2022. This means that the purchasing power of the U.S. dollar has weakened in recent years. The purchasing power is the extent to which a person has available funds to make purchases. According to the data published by the International Monetary Fund, the U.S. Consumer Price Index (CPI) was about 258.84 in 2020 and is forecasted to grow up to 325.6 by 2027, compared to the base period from 1982 to 1984. The monthly percentage change in the Consumer Price Index (CPI) for urban consumers in the United States was 0.1 percent in March 2023 compared to the previous month. In 2022, countries all around the world are experienced high levels of inflation. Although Brazil already had an inflation rate of 8.3 percent in 2021, compared to the previous year, while the inflation rate in China stood at 0.85 percent.

  13. T

    India Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Jun 12, 2025
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    TRADING ECONOMICS (2025). India Inflation Rate [Dataset]. https://tradingeconomics.com/india/inflation-cpi
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 12, 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, 2012 - May 31, 2025
    Area covered
    India
    Description

    Inflation Rate in India decreased to 2.82 percent in May from 3.16 percent in April of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. T

    Russia Inflation Rate

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 11, 2025
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    TRADING ECONOMICS (2025). Russia Inflation Rate [Dataset]. https://tradingeconomics.com/russia/inflation-cpi
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 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
    Dec 31, 1991 - May 31, 2025
    Area covered
    Russia
    Description

    Inflation Rate in Russia decreased to 9.90 percent in May from 10.20 percent in April of 2025. This dataset provides - Russia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. f

    Data from: Monetary policy and financial asset prices in Poland

    • figshare.com
    xlsx
    Updated Jan 19, 2016
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    Mariusz Kapuściński (2016). Monetary policy and financial asset prices in Poland [Dataset]. http://doi.org/10.6084/m9.figshare.1414154.v1
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    xlsxAvailable download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    figshare
    Authors
    Mariusz Kapuściński
    License

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

    Description

    The aim of this study is to investigate the effects of monetary policy on financial asset prices in Poland. Following Gürkaynak et al. (2005) I test how many factors adequately explain the variability of short-term interest rates around MPC meetings, finding that there are two such factors. The first one has a structural interpretation as a “current interest rate change” factor, and the second one as a “future interest rate changes” factor, with the latter related to MPC communication. Regression analysis shows that, controlling for foreign interest rates and global risk aversion, both MPC actions and communication matter for government bond yields, and that communication is more important for stock prices. Furthermore, the foreign exchange rate used to depreciate (appreciate) after MPC statements signalling tighter (easier) future monetary policy. However, the effect disappeared at the end of the sample. For most of the sample the exchange rate would appreciate (depreciate) or would not change in a statistically significant manner after an increase (a decrease) of the current interest rate. The results indicate that not only changes of the current interest rate but also MPC communication matters for financial asset prices in Poland. It has important implications for the conduct of monetary policy, especially in a low inflation and low interest rate environment.

  16. Japan Inflation Nowcast: Contribution: Money Market: BOJ: Monetary Base

    • ceicdata.com
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    CEICdata.com, Japan Inflation Nowcast: Contribution: Money Market: BOJ: Monetary Base [Dataset]. https://www.ceicdata.com/en/japan/ceic-nowcast-inflation-headline/inflation-nowcast-contribution-money-market-boj-monetary-base
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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
    Dec 23, 2024 - Mar 10, 2025
    Area covered
    Japan
    Description

    Japan Inflation Nowcast: Contribution: Money Market: BOJ: Monetary Base data was reported at 8.976 % in 12 May 2025. This stayed constant from the previous number of 8.976 % for 05 May 2025. Japan Inflation Nowcast: Contribution: Money Market: BOJ: Monetary Base data is updated weekly, averaging 2.304 % from Jun 2020 (Median) to 12 May 2025, with 259 observations. The data reached an all-time high of 14.575 % in 12 Sep 2022 and a record low of 0.000 % in 09 Dec 2024. Japan Inflation Nowcast: Contribution: Money Market: BOJ: Monetary Base data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Japan – Table JP.CEIC.NC: CEIC Nowcast: Inflation: Headline.

  17. J

    Monetary policy, housing rents, and inflation dynamics (replication data)

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt, zip
    Updated Dec 7, 2022
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    Daniel A. Dias; Joao B. Duarte; Daniel A. Dias; Joao B. Duarte (2022). Monetary policy, housing rents, and inflation dynamics (replication data) [Dataset]. http://doi.org/10.15456/jae.2022327.0709402114
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    txt(1374), zip(3009184)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Daniel A. Dias; Joao B. Duarte; Daniel A. Dias; Joao B. Duarte
    License

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

    Description

    In this paper we study the effect of monetary policy shocks on housing rents. Our main finding is that, in contrast to house prices, housing rents increase in response to contractionary monetary policy shocks. We also find that, after a contractionary monetary policy shock, rental vacancies and the homeownership rate decline. This combination of results suggests that monetary policy may affect housing tenure decisions (own versus rent). In addition, we show that, with the exception of the shelter component, all other main components of the consumer price index (CPI) either decline in response to a contractionary monetary policy shock or are not responsive. These findings motivated us to study the statistical properties of alternative measures of inflation that exclude the shelter component. We find that measures of inflation that exclude shelter have most of the statistical properties of the widely used measures of inflation, such as the CPI and the price index for personal consumption expenditures, but have higher standard deviations and react more to monetary policy shocks. Finally, we show that the response of housing rents accounts for a large proportion of the price puzzle found in the literature.

  18. m

    Inflation Targeting Dataset: Inflation Targets, Bands, and Track Records

    • data.mendeley.com
    Updated May 12, 2025
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    Zhongxia Zhang (2025). Inflation Targeting Dataset: Inflation Targets, Bands, and Track Records [Dataset]. http://doi.org/10.17632/g9m7rnvtw7.2
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    Dataset updated
    May 12, 2025
    Authors
    Zhongxia Zhang
    License

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

    Description

    This panel dataset contains quarterly series on inflation targets, bands, and track records for 41 inflation targeting countries from 1990 to 2024. Data on inflation targets and bands are collected through each central bank’s historical documents and rules-based track record measures are calculated by the author to assess actual inflation outcomes with respect to the central banks’ stated policy objectives. The dataset supports research work in Zhang (2025), Zhang and Wang (2022), and Zhang (2021). Please cite the papers when using the data.

    Z. Zhang, Does inflation targeting track record matter for asset prices? Evidence from stock, bond, and foreign exchange markets, Journal of International Financial Markets, Institutions and Money, Volume 101, 2025, 102141. Z. Zhang, S. Wang, Do actions speak louder than words? Assessing the effects of inflation targeting track records on macroeconomic performance, 2022, IMF Working Papers 2022/227.
    Z. Zhang, Stock returns and inflation redux: An explanation from monetary policy in advanced and emerging markets, 2021, IMF Working Papers 2021/219.

  19. H

    Data from: Performances of selected European economies in achieving their...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Aug 24, 2023
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    Milutin Ješić; Zorica Mladenović; Miomir Jakšić (2023). Performances of selected European economies in achieving their inflation targets: The non-stationary discrete choice model approach [Dataset]. http://doi.org/10.7910/DVN/UQIX6C
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Milutin Ješić; Zorica Mladenović; Miomir Jakšić
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Europe
    Description

    Supplementary material (Figures and Tables) of the paper published in Acta Oeconomica ABSTRACT Measurement of the performances of inflation targeting (IT) frameworks has been of interest to researchers ever since IT began to be implemented as a monetary policy strategy. The purpose of this paper is to evaluate the impact of domestic and international determinants on success in achieving inflation targets of the selected European economies. Our methodological framework is based on the application of a non-stationary discrete choice model. For this research, four European economies are considered: Czech Republic, Hungary, Poland and Serbia. Their results regarding IT policy can provide a useful benchmark for similar economies that are either planning to adopt the same monetary policy framework or have begun to apply it recently. Our findings indicate that IT success is primarily under the control of monetary policymakers by key policy rate mechanism, but that the impact of additional domestic and international factors that are not easily managed by the central bank like budget balance, exchange rate, growth rate, current account balance, labor cost growth, loans, Harmonized Index of Consumer Prices, inflation, and GDP gap of the Eurozone, can be also significant. Consequently, monetary policymakers need to take into account a wide range of inflation factors, including foreign spillover effects, so that tools for their neutralization can be helpful in achieving the targeted goals.

  20. o

    Data from: What is the effect of Inflation on Manufacturing Sector...

    • explore.openaire.eu
    Updated Nov 18, 2016
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    Mawufemor Bans-Akutey; Isaac Yaw Deh; Faisal Mohammed (2016). What is the effect of Inflation on Manufacturing Sector Productivity in Ghana? [Dataset]. https://explore.openaire.eu/search/other?orpId=od_1201::76c0dbb83236e4d21b2e29d59efabaa6
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    Dataset updated
    Nov 18, 2016
    Authors
    Mawufemor Bans-Akutey; Isaac Yaw Deh; Faisal Mohammed
    Area covered
    Ghana
    Description

    Using annual time series data for Ghana, the current study investigates the effect of inflation on manufacturing sector productivity for the period 1968-2013. The empirical verification is done by using the Johansen test (JT), the Vector Error Correction Model (VECM), and the Ordinary Least Squares (OLS) regression test. The results indicate significant stable long run relationship between inflation and manufacturing sector productivity. However, there is insignificant short run link between inflation and manufacturing sector productivity in the VECM. The results of the OLS test indicate negative significant link between inflation and manufacturing sector productivity. The findings suggest that inflation has led to a decrease in manufacturing sector productivity. Policy makers should manage inflation very well in order to improve manufacturing sector productivity. Future study should examine the current topic accounting for causality and structural breaks issues since the present study did not consider these issues.

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Edward Enrique Escobar-Quiñonez (2024). Impact of monetary policy instruments on the Colombian economy: An analysis of the classical dichotomy and monetary neutrality [Dataset]. http://doi.org/10.17632/rr4h8m666t.2

Impact of monetary policy instruments on the Colombian economy: An analysis of the classical dichotomy and monetary neutrality

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Dataset updated
Oct 9, 2024
Authors
Edward Enrique Escobar-Quiñonez
License

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

Area covered
Colombia
Description

This dataset supports the research exploring the impact of monetary policy instruments on the Colombian economy, focusing on the classical dichotomy and monetary neutrality. The analysis delves into how monetary policy, including instruments such as interest rates and money supply, influences both nominal and real variables in the economy. It also highlights the relationship between monetary policy and economic stability, particularly how central banks manage inflation and economic growth. Key sections explore the separation between nominal and real variables as explained by the classical dichotomy, and the principle of monetary neutrality, which argues that changes in money supply affect nominal variables without impacting real economic factors.

The dataset is structured around a combination of theoretical insights and simulations that analyze the effectiveness of monetary neutrality in the Colombian context, given both domestic and international economic challenges such as the war in Ukraine and agricultural sector disruptions. Through simulations, the dataset demonstrates the effects of monetary expansion on variables like inflation, production, and employment, providing a framework for understanding current economic trends and proposing solutions to socio-economic challenges in Colombia.

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