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Title: Exchange Rate and Inflation Rate on GDP Dataset
Description: This dataset presents a comprehensive collection of historical data on exchange rates, inflation rates, and their impact on Gross Domestic Product (GDP). It serves as a valuable resource for researchers, economists, and data enthusiasts seeking to explore the relationships between these key economic indicators.
The dataset contains information from various countries and regions, covering multiple years, allowing users to analyze how exchange rate fluctuations and inflation rates have influenced the economic performance of different economies over time.
Attributes included in the dataset:
Use cases: - Analyzing the impact of exchange rate fluctuations on a country's trade balance and economic growth. - Studying the relationship between inflation rates and changes in purchasing power in different economies. - Exploring correlations between GDP growth and exchange rate policies of countries. - Building predictive models to forecast inflation rates or exchange rate movements based on historical data.
Note to users: Please keep in mind that while this dataset provides valuable insights into the relationships between exchange rates, inflation rates, and GDP, it should be used responsibly and in conjunction with other relevant data sources for accurate and robust analyses.
If you have any questions or feedback about this dataset, feel free to reach out. Happy analyzing!
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Inflation Rate in Turkey decreased to 33.52 percent in July from 35.05 percent in June of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Inflation Rate In the Euro Area remained unchanged at 2 percent in July. This dataset provides the latest reported value for - Euro Area Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset supports an empirical study investigating the transition from fixed to floating exchange rate regimes. It includes monthly and daily changes in exchange rates, alongside interest rates and inflation data, for selected countries (Chile, Egypt, Israel, Poland, Russia, Turkey) that have undergone such transitions in the last three decades. By analyzing these variables, the study aims to uncover key patterns and policy insights related to monetary stability, exchange rate market efficiency, and the conditions that contribute to orderly or disorderly exits from fixed exchange rate systems.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Germany. It has 64 rows. It features 4 columns: country, currency, and inflation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Turkey. It has 64 rows. It features 4 columns: country, currency, and inflation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Jordan. It has 64 rows. It features 4 columns: country, currency, and inflation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Inflation Rate in the United States remained unchanged at 2.70 percent in July. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Hereby I am sharing the data used in the paper: "The words have power: the impact of news on exchange rates". The dataset includes: Taylor Rule Fundamentals: - inflation, - industrial production index (as a high-frequency proxy of GDP), - money market rate from 2000 until 2018. Textual information: - Entropies of news items about the U.S. Dollar from Nexis-Uni database. This is how we get the textual data from Nexis-Uni database: We enter “U.S. Dollar” as a keyword in searching for the news, which gives over 15 Million non-duplicate news. Next, we clean data news and select the relevant news items as follows. We select news about U.S. Dollar with the following criteria: (i) the U.S. Dollar appears in the title of news items, (ii) U.S. Dollar is repeated several times in the news, (iii) the first paragraph of news contains the word “U.S. Dollar”, (iv) U.S. Dollar is the subject of news items which are automatically selected by Nexis-Uni database. - economic policy uncertainty index from https://www.policyuncertainty.com/index.html
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Spain. It has 64 rows. It features 4 columns: country, currency, and inflation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Inflation Rate in Japan decreased to 3.30 percent in June from 3.50 percent in May of 2025. This dataset provides the latest reported value for - Japan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Sierra Leone. It has 64 rows. It features 4 columns: country, currency, and inflation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data is used for article of macroeconomic of some Asian countries in long period which explained about four Asian countries, such as Indonesia, Malaysia, Singapore, and South Korea. This data has taken from World Bank Development Indicators (WDI) database and is formed by Vector Auto Regression (VAR) model, then empirical result is executed by Granger causality model on E-views 11 program to gauge the relationship between gross domestic product, exchange rate, inflation rate, foreign direct investment, net export, government expenditures, unemployment rate, and savings. The results showed that most of gross domestic product of sample and other macro-economy variables have not causality relationship.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries. It has 194 rows. It features 5 columns: currency, capital city, continent, and inflation. It is 99% filled with non-null values.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Israel. It has 1 row and is filtered where the date is 2023. It features 4 columns: country, currency, and inflation.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This paper investigates both the effects of domestic monetary policy and external shocks on fundamental macroeconomic variables in six fast growing emerging economies: Brazil, Russia, India, China, South Africa and Turkey—denoted hereafter as BRICS_T. The authors adopt a structural VAR model with a block exogeneity procedure to identify domestic monetary policy shocks and external shocks. Their research reveals that a contractionary monetary policy in most countries appreciates the domestic currency, increases interest rates, effectively controls inflation rates and reduces output. They do not find any evidence of the price, output, exchange rates and trade puzzles that are usually found in VAR studies. Their findings imply that the exchange rate is the main transmission mechanism in BRICS_T economies. The authors also find that that there are inverse J-curves in five of the six fast growing emerging economies and there are deviations from UIP (Uncovered Interest Parity) in response to a contractionary monetary policy in those countries. Moreover, world output shocks are not a dominant source of fluctuations in those economies.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries in Central America. It has 8 rows. It features 3 columns: currency, and inflation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Iraq. It has 1 row and is filtered where the date is 2021. It features 4 columns: country, currency, and inflation.
The International Macroeconomic Data Set provides data from 1969 through 2030 for real (adjusted for inflation) gross domestic product (GDP), population, real exchange rates, and other variables for the 190 countries and 34 regions that are most important for U.S. agricultural trade. The data presented here are a key component of the USDA Baseline projections process, and can be used as a benchmark for analyzing the impacts of U.S. and global macroeconomic shocks.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Title: Exchange Rate and Inflation Rate on GDP Dataset
Description: This dataset presents a comprehensive collection of historical data on exchange rates, inflation rates, and their impact on Gross Domestic Product (GDP). It serves as a valuable resource for researchers, economists, and data enthusiasts seeking to explore the relationships between these key economic indicators.
The dataset contains information from various countries and regions, covering multiple years, allowing users to analyze how exchange rate fluctuations and inflation rates have influenced the economic performance of different economies over time.
Attributes included in the dataset:
Use cases: - Analyzing the impact of exchange rate fluctuations on a country's trade balance and economic growth. - Studying the relationship between inflation rates and changes in purchasing power in different economies. - Exploring correlations between GDP growth and exchange rate policies of countries. - Building predictive models to forecast inflation rates or exchange rate movements based on historical data.
Note to users: Please keep in mind that while this dataset provides valuable insights into the relationships between exchange rates, inflation rates, and GDP, it should be used responsibly and in conjunction with other relevant data sources for accurate and robust analyses.
If you have any questions or feedback about this dataset, feel free to reach out. Happy analyzing!