The aging of the US population undoubtedly will be associated with macroeconomic changes. In particular, some combination of lower consumption growth and increased labor input will ultimately be required. But, the timing of these changes can have important effects on variables like the rate of return to capital and wages. If the adjustment to consumption is slow, which would be the case if budget deficits were allowed to rise significantly as the population ages, then aging is likely to be associated with an increase in the return to capital and a reduction in wages.

CPIA macroeconomic management rating (1=low to 6=high) in Senegal was reported at 4 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Senegal - CPIA macroeconomic management rating (1=low to 6=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

NCT: saar: Federal Government data was reported at 51.324 USD bn in Mar 2018. This records an increase from the previous number of -949.397 USD bn for Dec 2017. NCT: saar: Federal Government data is updated quarterly, averaging 8.826 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 314.055 USD bn in Dec 2008 and a record low of -949.397 USD bn in Dec 2017. NCT: saar: Federal Government data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB074: Integrated Macroeconomic Accounts: Total Economy and Sectors: Selected Aggregates.

NCB: Changes in Vol Acct: Less: IVA data was reported at -20.339 USD bn in Mar 2018. This records a decrease from the previous number of -16.362 USD bn for Dec 2017. NCB: Changes in Vol Acct: Less: IVA data is updated quarterly, averaging -1.234 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 47.496 USD bn in Dec 2008 and a record low of -37.470 USD bn in Jun 2008. NCB: Changes in Vol Acct: Less: IVA data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB077: Integrated Macroeconomic Accounts: Nonfinancial Corporate Business.

We examine the relationship between exchange rates and macroeconomic fundamentals using a two-step maximum likelihood estimator through which we compute time-varying factor loadings. Factors are obtained as principal components, extracted from vintage macro-datasets that combine FRED-MD and OECD databases. Using 14 currencies over 1990–2021, we show that the loadings on the factors vary considerably over time and increase the percentage of explained variation in exchange rates by an order of magnitude. Time-varying loadings improve the overall predictive ability of the model, especially during crises, and lead to better forecasts of sign changes in exchange rates.

This dataset presents quarterly macroeconomic indicators for the State of Qatar for the years 2022 and 2023. It includes data on GDP, government revenue and expenditure, trade balance, inflation, monetary aggregates, and financial market indicators. Values are provided for each quarter and are disaggregated by key categories such as mining and non-mining sectors, real and nominal growth, and external trade components. The dataset supports economic analysis and policy evaluation by providing timely and detailed insight into the national economic performance.

The Easterlin paradox questions the link between economic growth and national well-being, emphasizing the necessity to explore the impact of economic elasticity, income inequality, and their temporal and spatial heterogeneity on subjective happiness. Despite the importance of these factors, few studies have examined them together, thus ongoing debates about the impact of economics on well-being persist. To fill this gap, our analysis utilizes 11 years of panel data from 31 provinces in China, integrating macroeconomic indicators and social media content to reassess the Easterlin paradox. We use GDP per capita and the Gini coefficient as proxies for economic growth and income inequality, respectively, to study their effects on the subjective well-being expressed by citizens on social media in mainland China. Our approach combines machine learning and fixed effects models to evaluate these relationships. Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. This study makes a synthetic contribution to the debate on the Easterlin paradox, indicating that economic growth can enhance well-being if income inequality is kept below a certain level. Although these results are theoretically enlightening for the relationship between economics and national well-being globally, this study’s sample comes from mainland China. Due to differences in cultural, economic, and political factors, further research is suggested to explore these dynamics globally.

DMPED is using economic data to drive positive change and build good government for District of Columbia residents. They are focusing on collecting and compiling information about the city, in particular on D.C.’s economic development priorities that create more pathways to the middle class: jobs, quality affordable housing, and community-focused development.This site is an online version of the Deputy Mayor for Planning and Economic Development’s weekly dashboard. This dashboard is also transmitted to the City Administrator, the Mayor, and other senior staff, so they can be aware of economic trends and context. It includes only data that is public, so certain indicators that DMPED uses are not included.

CA: saar: Less: Consumption of Fixed Capital data was reported at 3,297.342 USD bn in Sep 2018. This records an increase from the previous number of 3,253.845 USD bn for Jun 2018. CA: saar: Less: Consumption of Fixed Capital data is updated quarterly, averaging 629.105 USD bn from Dec 1951 (Median) to Sep 2018, with 268 observations. The data reached an all-time high of 3,297.342 USD bn in Sep 2018 and a record low of 37.726 USD bn in Dec 1951. CA: saar: Less: Consumption of Fixed Capital data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.AB073: Integrated Macroeconomic Accounts: Total Economy: Current Account.

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RW: saar: FA: NAFA: DS: Corporate Bonds data was reported at -32.109 USD bn in Mar 2018. This records a decrease from the previous number of 213.721 USD bn for Dec 2017. RW: saar: FA: NAFA: DS: Corporate Bonds data is updated quarterly, averaging 4.152 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 721.778 USD bn in Mar 2007 and a record low of -256.511 USD bn in Sep 2008. RW: saar: FA: NAFA: DS: Corporate Bonds data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB081: Integrated Macroeconomic Accounts: Rest of the World.

This data package includes the underlying data to replicate the charts and calculations presented in Economic multilateralism 80 years after Bretton Woods, PIIE Working Paper 24-9.

If you use the data, please cite as: Obstfeld, Maurice. 2024. Economic multilateralism 80 years after Bretton Woods. PIIE Working Paper 24-9. Washington: Peterson Institute for International Economics.

Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on US GDP, consumption and investment growth, our results suggest that the news data contains information not captured by the hard economic indicators, and that the news-based data are particularly informative for forecasting consumption developments.

Senior Technical Analyst Mario Ismailanji provides an update on economic conditions through the first quarter of 2021.

This paper quantifies the economic impact of regime changes and macroeconomic indicators on debt stress in Zambia using the Autoregressive Distributed Lag (ARDL) Bounds test. A 1% short run increase in gross domestic products (GDP) increases debt stress by 3.16% and in the subsequent year lowers it by 7.21%; in the long-run the 1% GDP increases lowers debt stress by 22%. In the long-run, a 1% rise in inflation and the lending rate negatively and positively impacted debt stress levels by -1.52% and 3.90%, respectively. Short-run shocks culminated regime change had short-run adverse impact on debt stress by 3.45% in one year and in the subsequent year by -10.35%, with the variables adjusting to long-run equilibrium at a speed of 71.5%. This is the first paper to quantify the empirical effect of macroeconomic indicators and change in Presidents on debt stress, especially in Africa were the problem of the debt trap is perpetuated. The results from the study implies that to deescalate the impact of debt stress on the economy, the electorate should vote in governments that will not fall short on growth driven macroeconomic policies, making it possible for economic sustainability to prevail; and paper seeks to promote good governance and good economic policies as a premise for sustained macroeconomic stability and development.

This paper is concerned with the stability of macroeconomic models in which there is no long-run trade-off between unemployment and inflation, because of a wage adjustment equation based on the NAIRU concept. It is shown, for a simple theoretical model and for the Bergstrom-Nowman-Wymer continuous-time macro-econometric model of the UK, that there is a bounded range of positive values of the wage acceleration parameter (determining the effect of labour demand on wage acceleration) for which the steady state is asymptotically stable. Then, each model generates damped cycles about a path converging to the steady-state neoclassical growth path.

Graph and download economic data for Domestic Financial Sectors; Corporate Other Current Transfers Paid (IMA), Transactions (BOGZ1FU796403081Q) from Q4 1946 to Q1 2025 about transfers, paid, IMA, transactions, sector, domestic, and USA.

The Central Bank of Kenya compiles a series of statistics of various bank rates ( Forex Exchange Rates, Interbank Rates, Interbank Rates & Volumes, Daily KES Interbank Activity Report, Repo and Reverse Repo , Horizontal Repo Market , Central Bank Rate ) Monthly Diaspora Remittances, Macroeconomic Statistics( Balance of Payment Statistics, Monetary Statistics, Inflation Rates, Government Finance Statistics, National accounts Statistics, Exchange Rates, Interest Rates ) and payment systems statistics (KEPSS/RTGS Statistics, Automated Clearing House, Payment Cards, Mobile Payments), Consumer price indices and others (Central Government Revenue Grants ,Central Government Expenditures Issues of Treasury Bills Issues of Treasury Bonds, Domestic Debt by Instrument, Public Debt, Loan, Lending, Mortgage, Bank interest rates

FB: REV: Financial Assets (FA) data was reported at -523.042 USD bn in Mar 2018. This records a decrease from the previous number of 1,042.980 USD bn for Dec 2017. FB: REV: Financial Assets (FA) data is updated quarterly, averaging 1.571 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 1,524.222 USD bn in Sep 2009 and a record low of -2,295.692 USD bn in Dec 2008. FB: REV: Financial Assets (FA) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB078: Integrated Macroeconomic Accounts: Financial Business.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Measuring the Rise of Economic Nationalism, PIIE Working Paper 19-15.

If you use the data, please cite as: de Bolle, Monica, and Jeromin Zettelmeyer. (2019). Measuring the Rise of Economic Nationalism. PIIE Working Paper 19-15. Peterson Institute for International Economics.