Graph and download economic data for Economic Policy Uncertainty Index for United States (USEPUINDXD) from 1985-01-01 to 2025-07-21 about uncertainty, academic data, indexes, and USA.

United States Business Uncertainty: Employment Growth: Smoothed data was reported at 0.055 % in Sep 2020. This records an increase from the previous number of 0.054 % for Aug 2020. United States Business Uncertainty: Employment Growth: Smoothed data is updated monthly, averaging 0.041 % from Jan 2015 (Median) to Sep 2020, with 69 observations. The data reached an all-time high of 0.060 % in Jun 2020 and a record low of 0.036 % in Mar 2019. United States Business Uncertainty: Employment Growth: Smoothed data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S018: Business Uncertainty Index.

United States Business Uncertainty: Employment Growth: Unsmoothed data was reported at 0.054 % in Sep 2020. This records a decrease from the previous number of 0.059 % for Aug 2020. United States Business Uncertainty: Employment Growth: Unsmoothed data is updated monthly, averaging 0.040 % from Sep 2016 (Median) to Sep 2020, with 49 observations. The data reached an all-time high of 0.065 % in May 2020 and a record low of 0.035 % in Jan 2019. United States Business Uncertainty: Employment Growth: Unsmoothed data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S018: Business Uncertainty Index.

Economic Policy Uncertainty for United States was 256.81000 Index in July of 2025, according to the United States Federal Reserve. Historically, Economic Policy Uncertainty for United States reached a record high of 1026.38000 in January of 2024 and a record low of 3.32000 in August of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Policy Uncertainty for United States - last updated from the United States Federal Reserve on July of 2025.

United States Business Uncertainty: Sales Revenue Growth: Smoothed data was reported at 0.048 % in Sep 2020. This records a decrease from the previous number of 0.051 % for Aug 2020. United States Business Uncertainty: Sales Revenue Growth: Smoothed data is updated monthly, averaging 0.029 % from Jan 2015 (Median) to Sep 2020, with 69 observations. The data reached an all-time high of 0.055 % in May 2020 and a record low of 0.024 % in Apr 2016. United States Business Uncertainty: Sales Revenue Growth: Smoothed data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S018: Business Uncertainty Index.

Graph and download economic data for Global Economic Policy Uncertainty Index: Current Price Adjusted GDP (GEPUCURRENT) from Jan 1997 to May 2025 about uncertainty, adjusted, GDP, indexes, and price.

Graph and download economic data for Business Uncertainty: Sales Revenue Growth (ATLSBUSRGUP) from Dec 2016 to Jun 2025 about growth, uncertainty, revenue, projection, business, sales, indexes, and USA.

United States Business Uncertainty: Sales Revenue Growth: Unsmoothed data was reported at 0.045 % in Sep 2020. This records a decrease from the previous number of 0.052 % for Aug 2020. United States Business Uncertainty: Sales Revenue Growth: Unsmoothed data is updated monthly, averaging 0.028 % from Sep 2016 (Median) to Sep 2020, with 49 observations. The data reached an all-time high of 0.059 % in Mar 2020 and a record low of 0.019 % in Jan 2020. United States Business Uncertainty: Sales Revenue Growth: Unsmoothed data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S018: Business Uncertainty Index.

Graph and download economic data for Business Uncertainty: Employment Growth (ATLSBUEGUP) from Dec 2016 to May 2025 about growth, uncertainty, projection, business, employment, indexes, and USA.

United States Business Expectations: Employment Growth: Smoothed data was reported at 0.015 % in Sep 2020. This records a decrease from the previous number of 0.023 % for Aug 2020. United States Business Expectations: Employment Growth: Smoothed data is updated monthly, averaging 0.012 % from Jan 2015 (Median) to Sep 2020, with 69 observations. The data reached an all-time high of 0.023 % in May 2018 and a record low of 0.005 % in Apr 2020. United States Business Expectations: Employment Growth: Smoothed data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S018: Business Uncertainty Index.

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

Investor uncertainty, nicknamed "the fear index," tracks the VIX-CBOE Volatility Index, which measures the prices of various call and put options for the S&P 500. A higher value represents greater uncertainty in the future price of the S&P 500. Annual totals represent an equally weighted average of the monthly mean value of the index, calculated as the average of the adjusted close for every trading day during a particular month. Data is sourced from the Chicago Board Options Exchange.

United States Expected Sales Reallocation data was reported at 4.015 % in Sep 2020. This records a decrease from the previous number of 5.758 % for Aug 2020. United States Expected Sales Reallocation data is updated monthly, averaging 1.004 % from Sep 2016 (Median) to Sep 2020, with 49 observations. The data reached an all-time high of 6.620 % in Jun 2020 and a record low of 0.145 % in Nov 2019. United States Expected Sales Reallocation data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S018: Business Uncertainty Index.

This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predicting recessionary regimes of the (quarterly) U.S. GDP. In this regard, the authors apply a mixed-frequency Markov-switching vector autoregressive (MF-MSVAR) model, and compare its in-sample and out-of-sample forecasting performances to those of a Markov-switching vector autoregressive model (MS-VAR, where the EPU is averaged over the months to produce quarterly values) and a Markov-switching autoregressive (MS-AR) model. The results show that the MF-MS-VAR fits the different recession regimes, and provides out-of-sample forecasts of recession probabilities which are more accurate than those derived from the MS-VAR and MS-AR models. The results highlight the importance of using high-frequency values of the EPU, and not averaging them to obtain quarterly values, when forecasting recessionary regimes for the U.S. economy.

United States Business Expectations: Sales Revenue Growth: Smoothed data was reported at 0.021 % in Sep 2020. This records an increase from the previous number of 0.014 % for Aug 2020. United States Business Expectations: Sales Revenue Growth: Smoothed data is updated monthly, averaging 0.035 % from Jan 2015 (Median) to Sep 2020, with 69 observations. The data reached an all-time high of 0.052 % in Jul 2018 and a record low of -0.010 % in May 2020. United States Business Expectations: Sales Revenue Growth: Smoothed data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S018: Business Uncertainty Index.

I am hereby sharing the dataset used in the paper titled 'Beyond Tradition: A Hybrid Model Unveiling News Impact on Exchange Rates'. The dataset comprises the following components: Taylor Rule Fundamentals: - Inflation - Industrial production index (as a high-frequency proxy of GDP) - Money market rate spanning from 2000 to 2018. Textual Information: - Economic Policy Uncertainty Index from https://www.policyuncertainty.com/index.html (as of November 9, 2023). - Time series of entropies calculated for U.S. Dollar-related news topics extracted from the Nexis-Uni database. Note: To acquire the textual data from the Nexis-Uni database, we conducted the following steps: We entered "U.S. Dollar" as a keyword in the search for news, resulting in over 15 million non-duplicate news items. Subsequently, we cleaned the news data and selected relevant news items using the following criteria: (i) The U.S. Dollar appears in the title of news items, (ii) The term "U.S. Dollar" is repeated several times in the news, (iii) The first paragraph of the news contains the word "U.S. Dollar", (iv) The news items are automatically selected by the Nexis-Uni database with the U.S. Dollar as the subject. Subsequently, we identified the topics related to the US Dollar from the news using LDA and calculated the Shannon entropies over time for each topic.

This study initially analyses the connectedness among five indexes representing five asset classes: equities, bonds, commodities, currencies, and housing prices. Subsequently, it analyses the influence of policy uncertainty and equity market risk on the total connectedness of assets and their impact on the significance of the home price index. A time-varying parameter vector autoregressions (TVP-VAR) model has been employed to explore the connectedness of the assets. Secondly, quantile regression is employed to gauge the impact of uncertainty and market risk in this study. The findings show that the S&P500 is the market’s most influential index. The home price index has proven sensitive to shocks from government bonds, commodities, and stock indexes across the period analyzed. Finally, findings have indicated that policy uncertainty positively influences the overall connectedness among the variables at all the quantiles. Moreover, at higher quantiles, an increase in policy uncertainty and equity-market risk decreases the net connectedness of the house price index. These findings hold significant implications for investors and policymakers in terms of diversification of portfolios and mitigating portfolio risk during periods of economic turbulence. This study demonstrates the dynamic interrelationships among five major asset classes and indicates that policy uncertainty and equity market risk significantly influence asset connectivity. Employing TVP-VAR and Bayesian quantile regression, it reveals that the S&P 500 exerts dominant market influence, whereas the house price index exhibits significant sensitivity to shocks. The results highlight the significance of uncertainty for increasing interconnectedness, providing essential insights for investors and policymakers about risk management and portfolio diversification.

United States Business Expectations: Sales Revenue Growth: Unsmoothed data was reported at 0.025 % in Sep 2020. This records an increase from the previous number of 0.010 % for Aug 2020. United States Business Expectations: Sales Revenue Growth: Unsmoothed data is updated monthly, averaging 0.042 % from Sep 2016 (Median) to Sep 2020, with 49 observations. The data reached an all-time high of 0.060 % in Jul 2018 and a record low of -0.028 % in Apr 2020. United States Business Expectations: Sales Revenue Growth: Unsmoothed data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S018: Business Uncertainty Index.

United States Realized Sales Revenue Growth data was reported at 3.228 % in Apr 2025. This records an increase from the previous number of 2.407 % for Mar 2025. United States Realized Sales Revenue Growth data is updated monthly, averaging 4.450 % from Sep 2016 (Median) to Apr 2025, with 104 observations. The data reached an all-time high of 13.646 % in Jun 2021 and a record low of -9.952 % in Jun 2020. United States Realized Sales Revenue Growth data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S015: Business Uncertainty Index.

This project evaluates whether change in the level of economic policy uncertainty has implications on the search for information about condoms in the United States. Economic policy uncertainty raises questions about the current and prospective characteristics of government policy about the economy. The potentially negative implications of economic policy uncertainty on the financial security and well-being of citizens should encourage risk-averse decision-making. An increase in economic policy uncertainty then should compel many members of the public to consider the potential costs involved in experiencing unintended pregnancies and/or sexually transmitted infections. As a result, the proposal of this project is that an increase in economic policy uncertainty results in an increase in the search for information on the Internet about condoms. The empirical analyses conduct vector autoregression and moving average representation time series analyses of monthly information spanning between 2004 and 2013 about the economic policy uncertainty index developed by Baker, Bloom & Davis (2013), and the volume of Internet search interest reported by Google Trends about condoms. The results provide evidence that prior change in economic policy uncertainty predicts the current search interest level about condoms, such that higher economic policy uncertainty increases search interest about condoms. While prior research has focused on the behaviors of business firms when exploring the consequences of economic policy uncertainty, the research findings seen here give an indication that economic policy uncertainty can also have a role in the decision-making process of the mass public regarding personal health choices.