This data package includes the underlying data files to replicate the data, tables, and charts presented in How the United States solved South Korea’s problems with electric vehicle subsidies under the Inflation Reduction Act, PIIE Working Paper 23-6.

If you use the data, please cite as: Bown, Chad P. 2023. How the United States solved South Korea’s problems with electric vehicle subsidies under the Inflation Reduction Act. PIIE Working Paper 23-6. Washington, DC: Peterson Institute for International Economics.

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

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.

Expected Inflation Term Structure is a part of the Inflation Expectations indicator of the Federal Reserve Bank of Cleveland.

In May 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In early 2025, Russia maintained the highest interest rate at 20 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at -0.1 percent in May 2025. In contrast, Russia maintained a high inflation rate of 9.9 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

Inflation Rate in China increased to 0.10 percent in June from -0.10 percent in May of 2025. This dataset provides - China Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in Indonesia increased to 2.37 percent in July from 1.87 percent in June of 2025. This dataset provides - Indonesia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Empirical analyses of Cagan’s money demand schedule for hyper-inflation have largely ignored the explosive nature of hyper-inflationary data. It is argued that this contributes to an (i) inability to model the data to the end of the hyper-inflation, and to (ii) discrepancies between “estimated” and “actual” inflation tax. Using data from the extreme Yugoslavian hyper-inflation it is shown that a linear analysis of levels of prices and money fails in addressing these issues even when the explosiveness is taken into account. The explanation is that log real money has random walk behaviour while the growth of log prices is explosive. A simple solution to these issues is found by replacing the conventional measure of inflation by the cost of holding money.

Inflation in Myanmar dropped to a five-year low in 2022, settling at 2.25 percent. This is down from a fairly high spike in 2015, expected to converge to a steady state around 7.8 percent in the coming years. For a developing economy, this is an acceptable level, though Myanmar’s central bankers would probably prefer one or two percentage points less. What is inflation? Inflation is the rise in prices over time. This is often caused by economic growth, and economists consider low, stable growth to be a sign of a healthy economy. The unemployment rate can also cause inflation if it is too low because businesses have to offer higher wages to attract workers. The firms raise prices to pay these higher wages, driving up inflation. Myanmar may be different While the unemployment rate is very low, other indicators may reveal that the labor market still has some slack. Myanmar does not publish the workforce particiaption rate, but one can infer by the low rate of urbanization that many workers may engage in subsistance agriculture or simply not search for jobs, keeping them out of the unemployment statistic. Similarly, the low gross domestic product (GDP) per capita may cause workers to stay with a job that is not a good match simply because they do not think they can find another. The hope is that the higher inflation rate will have upward pressure on wages, bringing more wealth to the people of Myanmar.

Ten-Year Expected Inflation and Real and Inflation Risk Premia is a part of the Inflation Expectations indicator of the Federal Reserve Bank of Cleveland.

The Consumer Price Index gauges the price changes in a basket of goods and services in a defined time period. In Argentina, the CPI in April 2024 was 289 percent higher than the one registered the same month of the previous year, with this figure being the largest monthly inflation rate since, at least, the beginning of 2018. The Argentinian inflation rate has been experiencing a steep increase from December 2020 onwards, when the decreasing trend witnessed since December 2019 came to an end. Long history of inflation in Latin America High inflation rates are nothing new in Latin America. In 2023, the region's inflation rate was 14.41 percent, while the global average was much lower at 6.78 percent. Nonetheless, the main drivers of this are Venezuela and Argentina, both being in the upper table of countries with the highest inflation rates in the world. During the last few years, Venezuela entered a period with five-digits inflation rates, having to issue a new currency and implementing new policies to control price increases.

A history of hyperinflation During the last couple of years, inflation has been a constant among the main problems the Argentine society faces. The country returned to a three-digit inflation rate with former president Alberto Fernández, and the constant price increases took a toll on households across the board. Nevertheless, the problem is far from a recent one or the worst it's ever been, in 1989 and 1990, the inflation rate was over 2,000 percent, reaching for the status of hyperinflation. Commonly, hyperinflation is defined as price increases with over 50 percent per month.

Inflation Rate in Bangladesh decreased to 8.48 percent in June from 9.05 percent in May of 2025. This dataset provides the latest reported value for - Bangladesh Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Count or zero-inflated count data is often collected in Ecological Momentary Assessment (EMA) studies where understanding the mechanisms of the change process serves as the primary research goal. Traditional methods often fail to capture the complexities inherent in EMA data, leading to discrepancies between empirical findings and theoretical expectations. To address these limitations, this study presents two novel approaches. The first integrates autoregressive effects individually, and the second utilizes a model framework to pinpoint autoregressive effects among groups. These approaches are extended for both count and zero-inflated count data. Through simulation studies and empirical applications, the proposed models show enhanced accuracy and interpretability at both individual and group levels. Furthermore, models tailored for zero-inflated data, referred to as ZIP-CAR, can distinguish zero patterns at both individual and group levels. The dissertation concludes with discussions on the practical implications, limitations, and future directions of the proposed methods. This work is expected to improve method development for EMA studies, ultimately enhancing the understanding of behavioral change processes in zero-inflated count data.

The German inflation rate has returned to normal levels of around 2.2 percent, based on preliminary figures for 2024. Compared to skyrocketing rates in 2022 and 2023, this can be seen as an improvement of the national economic situation. Various factors influenced the recent development of inflation in Germany. These are the same that pushed inflation levels around the rest of the world, particularly since the beginning of the Russia-Ukraine war in 2022. The most recent recorded annual inflation rate in Germany is within the normal range defined by central banks internationally, which is generally between 1.5 and four percent a year. The 2.2 percent for 2024 are not only noticeably lower than the preceding two years, but also less than in 2021, one of the COVID-19 pandemic lockdown years in Germany. 2022 and 2023 followed on the heels of the challenges posed by the pandemic which were already straining the national economy: supply chain interruptions and delays, transport problems, labor shortages across sectors and industries. These issues continue to partially impact the economy today.

Ten-Year TIPS Yields versus Real Yields is a part of the Inflation Expectations indicator of the Federal Reserve Bank of Cleveland.

Inflation Rate in Brazil increased to 5.35 percent in June from 5.32 percent in May of 2025. This dataset provides - Brazil Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2018, the average inflation rate in Egypt amounted to about 20.85 percent, a slight decrease compared to the previous year, when it peaked at 23.53 percent.

Political unrest

Egypt has been shaken by political unrest and turmoil for years now, and these events affect the economy as well. On January 25, 2011, Egyptians started protesting police brutality under then-president Hosni Mubarak, demanding an end to his reign. The protests were met with violence by armed forces, resulting in more unrest and looting. In the end, hundreds of Egyptians had lost their lives and over 6,000 were injured. After Mubarak’s subsequent resignation and the Muslim Brotherhood taking power in the country, Mohamed Morsi was elected President in 2012. He also was overthrown a year later after protests and was imprisoned. The current President, Abdel Fattah es-Sisi, was involved in overthrowing Morsi and took office in June 2014. Sisi introduced a number of economic reforms, but they did not succeed in stabilizing Egypt’s economy.

Economic unrest

2017 saw the Egyptian inflation rate skyrocket from 10.2 percent in 2016 to more than double that at 23.5 percent. Ever since, inflation has recovered only slowly, although projections today see it levelling off below ten percent in the future. Around the same year, Egypt’s GDP dropped to below 240 billion U.S. dollars, a historical low. Unemployment, another key indicator, has steadily been between 12 to 13 percent - one reason for this is Egypt’s reliance on agriculture, which does not factor into the unemployment rate. National debt has also increased dramatically over the last few years. All in all, the times of economic unrest are not yet over.

The average inflation rate in the Nigeria was forecast to continuously decrease between 2023 and 2028 by in total 6.1 percentage points. The average inflation rate is estimated to amount to 14 percent in 2028.Following the definitions provided by the International Monetary Fund, this indicator measures inflation based upon the year on year change in the average consumer price index. The latter expresses a country's average level of prices based on a typical basket of consumer goods and services. Depicted here is the year-on-year change in said index measure, expressed in percent.Find more key insights for the average inflation rate in countries like Senegal, Mali and Cote D'Ivoire.

Urban versus rural inflation disparity Comparing rural to urban areas in Nigeria showed that inflation was slightly worse in urban areas, with a difference of close to one percent in 2022. Other economic indicators reveal that inflation had a severe impact on the prices of consumer goods. Moreover, the Consumer Index Price of food in Nigeria in 2022 was 590.2. The food products with the highest percentage change in price was beans with 40 percent and over, depending on the color. That was followed by beef articles with 34 to close to 37 percent, depending on the part.

Fuel price surges: a closer look at diesel price fluctuations in Nigeria Another area that saw a dramatic spike in prices was fuel prices. In February 2023, there was a 0.98 percent rise in the cost of diesel in Nigeria when compared to January 2023. The most substantial surge occurred in March 2022. During that month, the average price of diesel surged by nearly 73 percent in contrast to the preceding month. This sharp escalation was attributed to a worldwide deficit in fuel supply and difficulties in the supply chain, which was prompted by the conflict in Ukraine and regulations implemented to control the transmission of COVID-19. Furthermore, consumers in Nigeria faced an average diesel price of 836.91 Nigerian naira (NGN), approximately 1.82 U.S. dollars, per liter. The North-Central States of Nigeria displayed the most elevated prices, with consumers in this region paying an average of 850.65 NGN per liter, roughly 1.85 U.S. dollars. During this specific timeframe, Osun emerged as the State with the highest price across Nigeria, as diesel prices reached a pinnacle of 707 NGN (equivalent to 1.7 U.S. dollars).

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.

Inflation Rate in Pakistan increased to 4.10 percent in July from 3.20 percent in June of 2025. This dataset provides the latest reported value for - Pakistan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.