Abstract (en): This research focuses on the longer-term monetary relationships in historical data. Charts describing the 10-year average growth rates in the M2 monetary aggregate, nominal GDP, real GDP, and inflation are used to show that there is a consistent longer-term correlation between M2 growth, nominal GDP growth, and inflation but not between such nominal variables and real GDP growth. The data reveal extremely long cycles in monetary growth and inflation, the most recent of which was the strong upward trend in M2 growth, nominal GDP growth, and inflation during the 1960s and 1970s, and the strong downward trend since then. Data going back to the 19th century show that the most recent inflation/disinflation cycle is a repetition of earlier long monetary growth and inflation cycles in the United States historical record. Also discussed is a measure of bond market inflation credibility, defined as the difference between averages in long-term bond rates and real GDP growth. By this measure, inflation credibility hovered close to zero during the 1950s and early 1960s, but then rose to a peak of about 10 percent in the early 1980s. During the 1990s, the bond market has yet to restore the low inflation credibility that existed before inflation turned up during the 1960s. The conclusion is that the risks of starting another costly inflation/disinflation cycle could be avoided by monitoring monetary growth and maintaining a sufficiently tight policy to keep inflation low. An environment of credible price stability would allow the economy to function unfettered by inflationary distortions, which is all that can reasonably be expected of monetary policy, and is precisely what should be expected. (1) The file submitted is the data file 9811WD.DAT. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.

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.

During the period beginning roughly in the mid-1980s until the Global Financial Crisis (2007-2008), the U.S. economy experienced a time of relative economic calm, with low inflation and consistent GDP growth. Compared with the turbulent economic era which had preceded it in the 1970s and the early 1980s, the lack of extreme fluctuations in the business cycle led some commentators to suggest that macroeconomic issues such as high inflation, long-term unemployment and financial crises were a thing of the past. Indeed, the President of the American Economic Association, Professor Robert Lucas, famously proclaimed in 2003 that "central problem of depression prevention has been solved, for all practical purposes". Ben Bernanke, the future chairman of the Federal Reserve during the Global Financial Crisis (GFC) and 2022 Nobel Prize in Economics recipient, coined the term 'the Great Moderation' to describe this era of newfound economic confidence. The era came to an abrupt end with the outbreak of the GFC in the Summer of 2007, as the U.S. financial system began to crash due to a downturn in the real estate market.

Causes of the Great Moderation, and its downfall

A number of factors have been cited as contributing to the Great Moderation including central bank monetary policies, the shift from manufacturing to services in the economy, improvements in information technology and management practices, as well as reduced energy prices. The period coincided with the term of Fed chairman Alan Greenspan (1987-2006), famous for the 'Greenspan put', a policy which meant that the Fed would proactively address downturns in the stock market using its monetary policy tools. These economic factors came to prominence at the same time as the end of the Cold War (1947-1991), with the U.S. attaining a new level of hegemony in global politics, as its main geopolitical rival, the Soviet Union, no longer existed. During the Great Moderation, the U.S. experienced a recession twice, between July 1990 and March 1991, and again from March 2001 tom November 2001, however, these relatively short recessions did not knock the U.S. off its growth path. The build up of household and corporate debt over the early 2000s eventually led to the Global Financial Crisis, as the bursting of the U.S. housing bubble in 2007 reverberated across the financial system, with a subsequent credit freeze and mass defaults.

The dataset represents the joint dynamics of Financial Stress Index (FSI), Consumer Price Index (CPI) calculated and provided by the National Bank of Ukraine (NBU) and Gross Domestic Product (GDP) provided by SSSU for Ukraine.

The monthly dataset range is Feb 2004-Feb 2022, the effective balanced range is Jan 2011-Dec 2021.

The daily FSI data is aggregated into monthly series as a period average. The CPI series are monthly. The quarterly GDP data is seasonally adjusted and interpolated into monthly data with the use of ARIMA model and cubic spline method accordingly, converted into year-over-year series (dGDP).

Context

Happiness and well-being are essential indicators of societal progress, often influenced by economic conditions such as GDP and inflation. This dataset combines data from the World Happiness Index (WHI) and inflation metrics to explore the relationship between economic stability and happiness levels across 148 countries from 2015 to 2023. By analyzing key economic indicators alongside social well-being factors, this dataset provides insights into global prosperity trends.

Content

This dataset is provided in CSV format and includes 16 columns, covering both happiness-related features and economic indicators such as GDP per capita, inflation rates, and corruption perception. The main columns include:

Happiness Score & Rank (World Happiness Index ranking per country) Economic Indicators (GDP per capita, inflation metrics) Social Factors (Freedom, Social Support, Generosity) Geographical Information (Country & Continent)

Acknowledgements

The dataset is created using publicly available data from World Happiness Report, Gallup World Poll, and the World Bank. It has been structured for research, machine learning, and policy analysis purposes.

Inspiration

How do economic factors like inflation, GDP, and corruption affect happiness? Can we predict a country's happiness score based on economic conditions? This dataset allows you to analyze these relationships and build models to predict well-being trends worldwide.

Background: This study investigates the influence of regional minimum wages (RMW), gross domestic product (GDP), and inflation on Indonesia's unemployment rates from 2012 to 2020. Methods: Multiple linear regression analysis examines the relationships between these economic variables. Findings: The findings reveal that RMW significantly negatively affects unemployment rates, indicating that a 1% increase in the minimum wage leads to a 3.951% decrease in unemployment, ceteris paribus. GDP also exhibits a significant negative influence, aligning with Okun's law, which suggests an inverse relationship between economic growth and unemployment. In contrast, inflation does not significantly impact unemployment rates during the studied period. Collectively, the three variables positively and significantly affect Indonesia's unemployment rate, with an adjusted R-squared value of 0.749. This implies that 74.9% of the variation in unemployment can be explained by GDP, inflation, and minimum wages, while other factors account for the remaining 25.1%. Conclusion: The study highlights the complex interplay between these macroeconomic indicators and unemployment, providing insights for policymakers to develop effective strategies for managing employment challenges in Indonesia. Novelty/Originality of this article: This empirical analysis reveals the dynamic relationship between RMW, GDP, inflation, and unemployment in Indonesia (2012—2020). The findings provide an evidence-based basis for formulating more effective and responsive employment and economic policies for Indonesia's labour market conditions.

This scatter chart displays GDP (current US$) against inflation (annual %) in Lao PDR. The data is about countries per year.

We use the yield curve to predict future GDP growth and recession probabilities. The spread between short- and long-term rates typically correlates with economic growth. Predications are calculated using a model developed by the Federal Reserve Bank of Cleveland. Released monthly.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

What is the relationship between unemployment and inflation?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This study examined the relationship between debt servicing and foreign exchange rate unification in Nigeria from 1995 to 2023, hypothesizing that a unified exchange rate policy would significantly impact the country's debt service-to-revenue ratio. Using annual time series data from sources such as the International Monetary Fund and World Development Indicators, the study employed an Autoregressive Distributed Lag (ARDL) model to analyze the relationship between the debt service-to-revenue ratio and factors including the official foreign exchange rate, GDP growth rate, inflation rate, and oil prices. The findings revealed several notable insights. Exchange rate unification was found to have a significant negative effect on the debt service-to-revenue ratio, suggesting that a unified exchange rate policy could help reduce Nigeria's debt service burden. Both current and lagged inflation rates showed a significant negative impact on the debt service-to-revenue ratio, indicating that higher inflation might be eroding the real value of debt or increasing nominal revenues faster than debt servicing costs. Lagged exchange rates were found to negatively affect the debt service-to-revenue ratio, implying that higher exchange rates in the previous period decrease the current ratio. Oil prices demonstrated mixed effects, with current prices positively impacting the debt service-to-revenue ratio while lagged prices had a negative effect. The study also revealed strong persistence in debt servicing behavior over time, as evidenced by the significant positive correlation between current and previous year's debt service ratios. These results offer significant implications for policymakers. The negative effect of exchange rate unification on the debt service-to-revenue ratio suggests that such a policy could improve efficiency in forex markets and reduce arbitrage opportunities, ultimately helping to reduce the debt service burden. The negative relationship between inflation and the debt service-to-revenue ratio indicates that higher inflation might be beneficial for debt servicing in the short term, though this should be interpreted cautiously given the potential negative consequences of high inflation. The mixed impact of oil prices reflects the complexity of Nigeria's oil-dependent economy, highlighting the need for economic diversification. The strong persistence in debt servicing commitments points to potential structural issues in debt management or lack of fiscal flexibility. Policymakers can use these findings to inform strategies for managing Nigeria's debt burden. The results suggest that pursuing exchange rate unification, carefully managing inflation, diversifying the economy to reduce oil dependence, and improving fiscal discipline could all contribute to better management of debt servicing costs. However, it's crucial to consider the lagged effects of economic variables on debt servicing when formulating long-term fiscal strategies.

The inflation rate in the United States declined significantly between June 2022 and May 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at *** percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at **** percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to **** percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was ****** percent, up from ****** a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

Research Hypothesis

The central hypothesis of this study is that economic growth, as represented by Romania's Gross Domestic Product (GDP), significantly impacts income inequality, measured using the GINI index. Specifically:

Null Hypothesis (H₀): There is no statistically significant relationship between GDP and the GINI index in Romania from 2006 to 2021. This implies that changes in GDP do not influence income inequality.
Alternative Hypothesis (H₁): There is a statistically significant negative relationship between GDP and the GINI index in Romania from 2006 to 2021. This suggests that as GDP increases, income inequality decreases.

Data Description and Collection

The study relies on secondary data sourced from the World Bank Open Database. Two primary variables were used:

Gross Domestic Product (GDP):
  Representing Romania's economic output, GDP was measured in constant USD to account for inflation. It reflects the total value of goods and services produced within the country each year.
  This variable serves as the independent variable, influencing income inequality.

GINI Index:
  The GINI index quantifies income inequality on a scale of 0 to 100, where 0 represents perfect equality and 100 represents maximum inequality.
  This variable acts as the dependent variable, influenced by changes in GDP.

The dataset spans 2006 to 2021, providing a comprehensive view of Romania’s economic and social landscape during its post-European Union (EU) accession period. Methodology Linear Regression Analysis

To test the relationship between GDP and the GINI index, a simple linear regression model was constructed.

Diagnostic Checks

Several diagnostic tests were conducted to validate the regression model:

Residual Analysis: Checked for normality using the Shapiro-Wilk test.
Homoscedasticity: Assessed using the Breusch-Pagan test to verify constant variance in residuals.
Autocorrelation: Evaluated using the Durbin-Watson test to detect correlations in residuals over time.

Findings Model Results

Correlation Coefficient (R): 0.739

  F-Statistic: 16.850 (p = 0.001)
  Indicates that the overall model is statistically significant at a 1% level, reinforcing the relationship between GDP and the GINI index.

GDP Coefficient (Unstandardized): -2.472E-11

P-Value for GDP Coefficient: 0.001
  Demonstrates that the relationship between GDP and the GINI index is statistically significant.

Diagnostic Test Results

Homoscedasticity: The Breusch-Pagan test identified evidence of heteroscedasticity (p = 0.033), indicating non-constant variance in residuals.
Autocorrelation: The Durbin-Watson statistic (1.126) revealed some positive autocorrelation in residuals, suggesting temporal patterns in unexplained factors.

According to preliminary figures, the growth of real gross domestic product (GDP) in China amounted to 5.0 percent in 2024. For 2025, the IMF expects a GDP growth rate of around 3.95 percent. Real GDP growth The current gross domestic product is an important indicator of the economic strength of a country. It refers to the total market value of all goods and services that are produced within a country per year. When analyzing year-on-year changes, the current GDP is adjusted for inflation, thus making it constant. Real GDP growth is regarded as a key indicator for economic growth as it incorporates constant GDP figures. As of 2024, China was among the leading countries with the largest gross domestic product worldwide, second only to the United States which had a GDP volume of almost 29.2 trillion U.S. dollars. The Chinese GDP has shown remarkable growth over the past years. Upon closer examination of the distribution of GDP across economic sectors, a gradual shift from an economy heavily based on industrial production towards an economy focused on services becomes visible, with the service industry outpacing the manufacturing sector in terms of GDP contribution. Key indicator balance of trade Another important indicator for economic assessment is the balance of trade, which measures the relationship between imports and exports of a nation. As an economy heavily reliant on manufacturing and industrial production, China has reached a trade surplus over the last decade, with a total trade balance of around 992 billion U.S. dollars in 2024.

This scatter chart displays GDP (current US$) against inflation (annual %) in Eastern Africa. The data is about countries per year.

Unit root tests for stationarity–GDP and INF.

The statistic shows the gross domestic product growth rate in Canada from 2020 to 2024, with projections up until 2030. In 2024, Canada’s real GDP growth was around 1.53 percent compared to the previous year.Economy of CanadaAs an indicator for the shape of a country’s economy, there are not many factors as telling as GDP. GDP is the total market value of all final goods and services that have been produced within a country within a given period of time, usually a year. Real GDP figures serve as an even more reliable tool in determining the direction in which a country’s economy may be swaying, as they are adjusted for inflation and reflect real price changes.Canada is one of the largest economies in the world and is counted among the globe’s wealthiest nations. It has a relatively small labor force in comparison to some of the world’s other largest economic powers, amounting to just under 19 million. Unemployment in Canada has remained relatively high as the country has battled against the tide of economic woe that swept across the majority of the world after the 2008 financial meltdown, and although moving in the right direction, there is still some way to go for Canada.Canada is among the leading trading nations worldwide, owing to the absolutely vast supplies of natural resources, which make up a key part of the Canadian trading relationship with the United States, the country with which Canada trades by far the most. In recent years, around three quarters of Canadian exports went to the United States and just over half of its imports came from its neighbor to the south. The relationship is very much mutually beneficial; Canada is the leading foreign energy supplier to the United States.

In 2024, Japan had an average inflation rate estimated at 2.74 percent, marking the highest rate of inflation in Japan in almost a decade. However, this figure was still very low compared to most other major economies, such as Japan's fellow G7 members, four of which had inflation rates around six or seven percent in 2023 due to the global inflation crisis. Why is Japan's inflation rate lower? There are a number of contributing factors to Japan's relatively low inflation rate, even during economic crises. Japan eased its Covid restrictions more slowly than most other major economies, this prevented post-pandemic consumer spending that may have driven inflation through supply chain issues caused by higher demand. As the majority of Japan's food and energy comes from overseas, and has done so for decades, the government has mechanisms in place to prevent energy and wheat prices from rising too quickly. Because of this, Japan was able to shield its private sector from many of the negative knock on effects from Russia's invasion of Ukraine, which had a significant impact on both sectors globally. Persistent deflation and national debt An additional factor that has eased the impact of inflation on Japan's economy is the fact that it experienced deflation before the pandemic. Deflation has been a persistent problem in Japan since the asset price bubble burst in 1992, and has been symptomatic of Japan's staggering national debt thereafter. For almost 30 years, a combination of quantitative easing, low interest rates (below 0.5 percent since 1995, and at -0.1% since 2016), and a lack of spending due to low wages and an aging population have combined to give Japan the highest national debt in the world in absolute terms, and second-highest debt in relation to its GDP, after Venezuela. Despite this soaring debt, Japan remains the fourth-largest economy in the world, behind the U.S., China, and Germany.

In 2024, the U.S. GDP increased from the previous year to about 29.18 trillion U.S. dollars. Gross domestic product (GDP) refers to the market value of all goods and services produced within a country. In 2024, the United States has the largest economy in the world. What is GDP? Gross domestic product is one of the most important indicators used to analyze the health of an economy. GDP is defined by the BEA as the market value of goods and services produced by labor and property in the United States, regardless of nationality. It is the primary measure of U.S. production. The OECD defines GDP as an aggregate measure of production equal to the sum of the gross values added of all resident, institutional units engaged in production (plus any taxes, and minus any subsidies, on products not included in the value of their outputs). GDP and national debt Although the United States had the highest Gross Domestic Product (GDP) in the world in 2022, this does not tell us much about the quality of life in any given country. GDP per capita at purchasing power parity (PPP) is an economic measurement that is thought to be a better method for comparing living standards across countries because it accounts for domestic inflation and variations in the cost of living. While the United States might have the largest economy, the country that ranked highest in terms of GDP at PPP was Luxembourg, amounting to around 141,333 international dollars per capita. Singapore, Ireland, and Qatar also ranked highly on the GDP PPP list, and the United States ranked 9th in 2022.

This statistic shows the average inflation rate in Malaysia from 1987 to 2024, with projections up to 2030. In 2024, the average inflation rate in Malaysia amounted to about 1.83 percent compared to the previous year. Malaysia's economy is slowly recovering The inflation rate is the annual rate of increase of a price index, normally the consumer price index over time. If the same item bought today for 1 U.S. dollar is bought again one year from now, but for 1.03 U.S. dollars, then the inflation rate is at 3 percent. Generally, a low inflation rate is sought by every country, and a rate of 3 percent, as is estimated for Malaysia in the next few years, is considered low. However, there was a slight rise in Malaysia’s inflation rate, from close to 2 percent in 2010 to a little over 3 percent in 2011. In 2012, it dropped back down to its normal rate, but future estimates predict a slight increase once again. Perhaps this increase has come from initial worries concerning the country’s slowing economy as the country’s GDP growth slowed from 7.43 percent in 2010 to 5.19 percent in 2011, or its negative budget balance in relation to GDP which was at its recent worst in 2010 at -4.66 percent. At the same time, the country’s national debt was also rising, but predictions show that this trend is reversing. Yet, the economic outlook and inflation rate still appear stable for the future of Malaysia, and the inflation rate is below the global inflation rate. Furthermore, the country’s GDP continues to rise and totaled 326.93 billion U.S. dollars in 2013.

This scatter chart displays GDP (current US$) against inflation (annual %) in Greece. The data is about countries per year.