The Volcker Shock was a period of historically high interest rates precipitated by Federal Reserve Chairperson Paul Volcker's decision to raise the central bank's key interest rate, the Fed funds effective rate, during the first three years of his term. Volcker was appointed chairperson of the Fed in August 1979 by President Jimmy Carter, as replacement for William Miller, who Carter had made his treasury secretary. Volcker was one of the most hawkish (supportive of tighter monetary policy to stem inflation) members of the Federal Reserve's committee, and quickly set about changing the course of monetary policy in the U.S. in order to quell inflation. The Volcker Shock is remembered for bringing an end to over a decade of high inflation in the United States, prompting a deep recession and high unemployment, and for spurring on debt defaults among developing countries in Latin America who had borrowed in U.S. dollars.

Monetary tightening and the recessions of the early '80s

Beginning in October 1979, Volcker's Fed tightened monetary policy by raising interest rates. This decision had the effect of depressing demand and slowing down the U.S. economy, as credit became more expensive for households and businesses. The Fed funds rate, the key overnight rate at which banks lend their excess reserves to each other, rose as high as 17.6 percent in early 1980. The rate was allowed to fall back below 10 percent following this first peak, however, due to worries that inflation was not falling fast enough, a second cycle of monetary tightening was embarked upon starting in August of 1980. The rate would reach its all-time peak in June of 1981, at 19.1 percent. The second recession sparked by these hikes was far deeper than the 1980 recession, with unemployment peaking at 10.8 percent in December 1980, the highest level since The Great Depression. This recession would drive inflation to a low point during Volcker's terms of 2.5 percent in August 1983.

The legacy of the Volcker Shock

By the end of Volcker's terms as Fed Chair, inflation was at a manageable rate of around four percent, while unemployment had fallen under six percent, as the economy grew and business confidence returned. While supporters of Volcker's actions point to these numbers as proof of the efficacy of his actions, critics have claimed that there were less harmful ways that inflation could have been brought under control. The recessions of the early 1980s are cited as accelerating deindustrialization in the U.S., as manufacturing jobs lost in 'rust belt' states such as Michigan, Ohio, and Pennsylvania never returned during the years of recovery. The Volcker Shock was also a driving factor behind the Latin American debt crises of the 1980s, as governments in the region defaulted on debts which they had incurred in U.S. dollars. Debates about the validity of using interest rate hikes to get inflation under control have recently re-emerged due to the inflationary pressures facing the U.S. following the Coronavirus pandemic and the Federal Reserve's subsequent decision to embark on a course of monetary tightening.

Graph and download economic data for Noncyclical Rate of Unemployment (NROU) from Q1 1949 to Q4 2034 about NAIRU, long-term, projection, unemployment, rate, and USA.

The inflation rate in the United States declined significantly between June 2022 and January 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at 9.1 percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at 5.33 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 4.33 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 158.11 percent, up from 153.12 a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

United States CSI: Expected Inflation: Next Yr data was reported at 2.900 % in Jul 2018. This records a decrease from the previous number of 3.000 % for Jun 2018. United States CSI: Expected Inflation: Next Yr data is updated monthly, averaging 3.000 % from Jan 1978 (Median) to Jul 2018, with 487 observations. The data reached an all-time high of 10.400 % in Jan 1980 and a record low of 0.400 % in Nov 2001. United States CSI: Expected Inflation: Next Yr data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: No one can say for sure, but what do you think will happen to interest rates for borrowing money during the next 12 months -- will they go up, stay the same, or go down?

With the collapse of the U.S. housing market and the subsequent financial crisis on Wall Street in 2007 and 2008, economies across the globe began to enter into deep recessions. What had started out as a crisis centered on the United States quickly became global in nature, as it became apparent that not only had the economies of other advanced countries (grouped together as the G7) become intimately tied to the U.S. financial system, but that many of them had experienced housing and asset price bubbles similar to that in the U.S.. The United Kingdom had experienced a huge inflation of housing prices since the 1990s, while Eurozone members (such as Germany, France and Italy) had financial sectors which had become involved in reckless lending to economies on the periphery of the EU, such as Greece, Ireland and Portugal. Other countries, such as Japan, were hit heavily due their export-led growth models which suffered from the decline in international trade. Unemployment during the Great Recession As business and consumer confidence crashed, credit markets froze, and international trade contracted, the unemployment rate in the most advanced economies shot up. While four to five percent is generally considered to be a healthy unemployment rate, nearing full employment in the economy (when any remaining unemployment is not related to a lack of consumer demand), many of these countries experienced rates at least double that, with unemployment in the United States peaking at almost 10 percent in 2010. In large countries, unemployment rates of this level meant millions or tens of millions of people being out of work, which led to political pressures to stimulate economies and create jobs. By 2012, many of these countries were seeing declining unemployment rates, however, in France and Italy rates of joblessness continued to increase as the Euro crisis took hold. These countries suffered from having a monetary policy which was too tight for their economies (due to the ECB controlling interest rates) and fiscal policy which was constrained by EU debt rules. Left with the option of deregulating their labor markets and pursuing austerity policies, their unemployment rates remained over 10 percent well into the 2010s. Differences in labor markets The differences in unemployment rates at the peak of the crisis (2009-2010) reflect not only the differences in how economies were affected by the downturn, but also the differing labor market institutions and programs in the various countries. Countries with more 'liberalized' labor markets, such as the United States and United Kingdom experienced sharp jumps in their unemployment rate due to the ease at which employers can lay off workers in these countries. When the crisis subsided in these countries, however, their unemployment rates quickly began to drop below those of the other countries, due to their more dynamic labor markets which make it easier to hire workers when the economy is doing well. On the other hand, countries with more 'coordinated' labor market institutions, such as Germany and Japan, experiences lower rates of unemployment during the crisis, as programs such as short-time work, job sharing, and wage restraint agreements were used to keep workers in their jobs. While these countries are less likely to experience spikes in unemployment during crises, the highly regulated nature of their labor markets mean that they are slower to add jobs during periods of economic prosperity.

United States CSI: Expected Inflation: Next 5 Yrs: Same data was reported at 1.000 % in May 2018. This records a decrease from the previous number of 2.000 % for Apr 2018. United States CSI: Expected Inflation: Next 5 Yrs: Same data is updated monthly, averaging 3.000 % from Feb 1979 (Median) to May 2018, with 380 observations. The data reached an all-time high of 16.000 % in Sep 1981 and a record low of 0.000 % in Jan 1997. United States CSI: Expected Inflation: Next 5 Yrs: Same data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The questions were: 'What about the outlook for prices over the next 5 to 10 years? Do you think prices will be higher, to go up, on the average, during the next 12 months?' and 'By about what percent per year do you expect prices to go up or down, on the average, during the next 5 to 10 years?'

United States CSI: Expected Inflation: Next Yr: 75th Percentile data was reported at 4.700 % in May 2018. This records an increase from the previous number of 4.600 % for Apr 2018. United States CSI: Expected Inflation: Next Yr: 75th Percentile data is updated monthly, averaging 5.100 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 15.600 % in Jan 1980 and a record low of 3.100 % in Nov 2001. United States CSI: Expected Inflation: Next Yr: 75th Percentile data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The questions were: 'During the next 12 months, do you think that prices in general will go up, or go down, or stay where they are now?' and 'By what percent do you expect prices to go up, on the average, during the next 12 months?'

Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

Unemployment Rate in Argentina decreased to 6.40 percent in the fourth quarter of 2024 from 6.90 percent in the third quarter of 2024. This dataset provides - Argentina Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States CSI: Expected Unemployment: Next Yr: More data was reported at 24.000 % in May 2018. This records a decrease from the previous number of 25.000 % for Apr 2018. United States CSI: Expected Unemployment: Next Yr: More data is updated monthly, averaging 31.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 72.000 % in May 1980 and a record low of 13.000 % in May 1983. United States CSI: Expected Unemployment: Next Yr: More data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: How about people out of work during the coming 12 months -- do you think there will be more unemployment than now, about the same, or less?

Unemployment Rate in China increased to 5.40 percent in February from 5.20 percent in January of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Monthly balances for securities outstanding, principal outstanding, security group, and type for State and Local Government Series (SLGS) securities.

This is a submission for Challenge #24 by Desights User

Click here for Challenge Details Note: This submission is in REVIEW state and is only accessible by Challenge Reviewers. So you might get errors when you try to download this asset directly from Ocean Market.

Submission Description

Deciphering Crypto Trends challenge proposes the analysis of how the level of interest on google trends influences the price of a cryptocurrency.

The first insights showcase a positive correlation between the level of interest and token price, which is understanbale since more interest could be seen as more investments.

Later on, Unemployment rates data has been selected to enhance the analysis. Unemploymet rates are a mesure of how healthy the economy of a country is. Usually, lower rates would indicate that the country is in a good economical moment and therefore those moments are usually seen as moments to invest. However, as a first intake the influence of the Unemployment rates is not as big as one could expect. Maybe other securities like Gold may be more influenciated.

Finally, an ARIMA model has been trained to forecast the upcomming 3 months of level of interest through google trends for the Ethereum token.

For any question related to the challenge you can contact me through discord @xmarkitus or at: llopartdata@gmail.com.

Unemployment Rate in Indonesia decreased to 4.82 percent in the first quarter of 2024 from 5.32 percent in the third quarter of 2023. This dataset provides the latest reported value for - Indonesia Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in Australia remained unchanged at 4.10 percent in February. This dataset provides - Australia Unemployment Rate at 5.8% in December - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Stagflation (stagnation and inflation in one word) depicts a time period when an economy is not only suffering from a recession (declining GDP), but high unemployment and inflation rates as well. Usually unemployment and inflation are inversely related, which makes stagflation a rare occurrence. It first happened in the 1970s, when OPEC put an oil embargo on the United States, resulting in oil prices skyrocketing to three times the standard value at that time. As of September 2023, the price of oil fell by 20 percent in comparison to last year after having increased by 76 perent as a result of Russian invasion of Ukraine. The has been signs of stagflation in some countries through 2022 and 2023, but falling inflation rates indicate that the worst has been avoided.

In January 2025, the employment rate in the United Kingdom was 74.9 percent, up from 74.7 percent in the same period a year earlier. After almost dropping below 70 percent in 2011, the employment rate in the United Kingdom started to climb at a relatively fast pace, peaking in early 2020. Due to the onset of the COVID-19 pandemic, however, the employment declined to 74.6 percent by January 2021. Although not quite at pre-pandemic levels, the employment rate has since recovered. Hot UK labor market cools in 2023 Although unemployment in the UK spiked at 5.1 percent in the aftermath of the COVID-19 pandemic, it fell throughout most of 2022, to just 3.6 percent in August 2022. Around that time, the number of job vacancies in the UK was also at quite high levels, reaching a peak of 1.3 million by May 2022. The strong labor market put employees in quite a strong position, perhaps encouraging the high number of resignations that took place around that time. While wage growth has also been strong since 2022, these gains were cancelled-out for a long period between 2021 and 2023 when inflation grew faster than wages. By July 2023, unemployment had bounced back to 4.3 percent, while the number of job vacancies fell below one million in August 2023 for the first time since August 2021. UK in recession at end of 2023 Although the UK labor market has loosened since 2022, it has generally remained in good health, with unemployment low by historical standards. Inflation also fell throughout 2023, from 10.1 percent at the beginning of the year, to four percent by December. Getting inflation down to more acceptable levels, however, came at the expense of raising the Bank of England's already high-interest rate throughout 2023. The knock-on effect of higher borrowing costs likely did little to spur economic growth that year, with GDP growing by just 0.1 percent in 2023. Even this meager economic growth was only achieved due to growth in the first half of the year. In the second half of 2023, the economy shrank in two consecutive quarters, meaning the UK is officially in recession heading into a probable election year.

Unemployment Rate in the United Kingdom remained unchanged at 4.40 percent in January. This dataset provides the latest reported value for - United Kingdom Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Unemployment Rate in Brevard County, FL (FLBREV3URN) from Jan 1990 to Jan 2025 about Brevard County, FL; Palm Bay; FL; unemployment; rate; and USA.

Replication files for "Job-to-Job Mobility and Inflation" Authors: Renato Faccini and Leonardo Melosi Review of Economics and Statistics Date: February 2, 2023 -------------------------------------------------------------------------------------------- ORDERS OF TOPICS .Section 1. We explain the code to replicate all the figures in the paper (except Figure 6) .Section 2. We explain how Figure 6 is constructed .Section 3. We explain how the data are constructed SECTION 1 Replication_Main.m is used to reproduce all the figures of the paper except Figure 6. All the primitive variables are defined in the code and all the steps are commented in code to facilitate the replication of our results. Replication_Main.m, should be run in Matlab. The authors tested it on a DELL XPS 15 7590 laptop wih the follwoing characteristics: -------------------------------------------------------------------------------------------- Processor Intel(R) Core(TM) i9-9980HK CPU @ 2.40GHz 2.40 GHz Installed RAM 64.0 GB System type 64-bit operating system, x64-based processor -------------------------------------------------------------------------------------------- It took 2 minutes and 57 seconds for this machine to construct Figures 1, 2, 3, 4a, 4b, 5, 7a, and 7b. The following version of Matlab and Matlab toolboxes has been used for the test: -------------------------------------------------------------------------------------------- MATLAB Version: 9.7.0.1190202 (R2019b) MATLAB License Number: 363305 Operating System: Microsoft Windows 10 Enterprise Version 10.0 (Build 19045) Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode -------------------------------------------------------------------------------------------- MATLAB Version 9.7 (R2019b) Financial Toolbox Version 5.14 (R2019b) Optimization Toolbox Version 8.4 (R2019b) Statistics and Machine Learning Toolbox Version 11.6 (R2019b) Symbolic Math Toolbox Version 8.4 (R2019b) -------------------------------------------------------------------------------------------- The replication code uses auxiliary files and save the pictures in various subfolders: \JL_models: It contains the equations describing the model including the observation equations and routine used to solve the model. To do so, the routine in this folder calls other routines located in some fo the subfolders below. \gensystoama: It contains a set of codes that allow us to solve linear rational expectations models. We use the AMA solver. More information are provided in the file AMASOLVE.m. The codes in this subfolder have been developed by Alejandro Justiniano. \filters: it contains the Kalman filter augmented with a routine to make sure that the zero lower bound constraint for the nominal interest rate is satisfied in every period in our sample. \SteadyStateSolver: It contains a set of routines that are used to solved the steady state of the model numerically. \NLEquations: It contains some of the equations of the model that are log-linearized using the symbolic toolbox of matlab. \NberDates: It contains a set of routines that allows to add shaded area to graphs to denote NBER recessions. \Graphics: It contains useful codes enabling features to construct some of the graphs in the paper. \Data: it contains the data set used in the paper. \Params: It contains a spreadsheet with the values attributes to the model parameters. \VAR_Estimation: It contains the forecasts implied by the Bayesian VAR model of Section 2. The output of Replication_Main.m are the figures of the paper that are stored in the subfolder \Figures SECTION 2 The Excel file "Figure-6.xlsx" is used to create the charts in Figure 6. All three panels of the charts (A, B, and C) plot a measure of unexpected wage inflation against the unemployment rate, then fits separate linear regressions for the periods 1960-1985,1986-2007, and 2008-2009. Unexpected wage inflation is given by the difference between wage growth and a measure of expected wage growth. In all three panels, the unemployment rate used is the civilian unemployment rate (UNRATE), seasonally adjusted, from the BLS. The sheet "Panel A" uses quarterly manufacturing sector average hourly earnings growth data, seasonally adjusted (CES3000000008), from the Bureau of Labor Statistics (BLS) Employment Situation report as the measure of wage inflation. The unexpected wage inflation is given by the difference between earnings growth at time t and the average of earnings growth across the previous four months. Growth rates are annualized quarterly values. The sheet "Panel B" uses quarterly Nonfarm Business Sector Compensation Per Hour, seasonally adjusted (COMPNFB), from the BLS Productivity and Costs report as its measure of wage inflation. As in Panel A, expected wage inflation is given by the... Visit https://dataone.org/datasets/sha256%3A44c88fe82380bfff217866cac93f85483766eb9364f66cfa03f1ebdaa0408335 for complete metadata about this dataset.