Model data for Caribbean Basin Economic Recovery Act: Impact on U.S. Industries and Consumers and on Beneficiary Countries, Inv. 332-595.

This data release accompanies USITC Publication 5199, Economic Impact of Trade Agreements Implemented Under Trade Authorities Procedures, 2021 Report, Inv. TPA-105-008.

United States Lagging Economic Index: MoM data was reported at -0.100 % in Mar 2025. This records a decrease from the previous number of 0.300 % for Feb 2025. United States Lagging Economic Index: MoM data is updated monthly, averaging 0.200 % from Feb 1959 (Median) to Mar 2025, with 794 observations. The data reached an all-time high of 3.600 % in Apr 2020 and a record low of -3.000 % in Mar 2021. United States Lagging Economic Index: MoM data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.The Conference Board: Leading Economic Index. [COVID-19-IMPACT]

The global economic analysis services market is projected to grow significantly in the coming years, driven by factors such as increasing demand for data-driven decision-making, rising complexity of business operations, and growing regulatory requirements. The market is expected to reach a value of USD 21.4 billion by 2033, expanding at a CAGR of 7.5% from 2025 to 2033. The market is segmented based on type (cost-benefit analysis, risk analysis, economic impact assessment, others), application (SMEs, large enterprises), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). The cost-benefit analysis segment is expected to hold the largest market share during the forecast period, owing to its increasing adoption by businesses to evaluate the potential benefits and costs of investment projects. The large enterprise segment is expected to be the dominant application segment, as large enterprises have complex operations and require detailed economic analysis to make informed decisions. North America is expected to remain the largest regional market, while the Asia Pacific region is projected to witness the highest growth rate during the forecast period.

This modeling tool accompanied the Caribbean Basin Economic Recovery Act: Impact on U.S. Industries and Consumers and on Beneficiary Countries, 24th Report

MATLAB files that supplement Staff Report 595.

From IRA to CHIPS, take a deeper look at the impact of recent US economic policies and learn how to strategize around shifts in government funding.

This 6MB download is a zip file containing 5 pdf documents and 2 xlsx spreadsheets. Presentation on COVID-19 and the potential impacts on employment

May 2020Waka Kotahi wants to better understand the potential implications of the COVID-19 downturn on the land transport system, particularly the potential impacts on regional economies and communities.

To do this, in May 2020 Waka Kotahi commissioned Martin Jenkins and Infometrics to consider the potential impacts of COVID-19 on New Zealand’s economy and demographics, as these are two key drivers of transport demand. In addition to providing a scan of national and international COVID-19 trends, the research involved modelling the economic impacts of three of the Treasury’s COVID-19 scenarios, to a regional scale, to help us understand where the impacts might be greatest.

Waka Kotahi studied this modelling by comparing the percentage difference in employment forecasts from the Treasury’s three COVID-19 scenarios compared to the business as usual scenario.

The source tables from the modelling (Tables 1-40), and the percentage difference in employment forecasts (Tables 41-43), are available as spreadsheets.

Arataki - potential impacts of COVID-19 Final Report

Employment modelling - interactive dashboard

The modelling produced employment forecasts for each region and district over three time periods – 2021, 2025 and 2031. In May 2020, the forecasts for 2021 carried greater certainty as they reflected the impacts of current events, such as border restrictions, reduction in international visitors and students etc. The 2025 and 2031 forecasts were less certain because of the potential for significant shifts in the socio-economic situation over the intervening years. While these later forecasts were useful in helping to understand the relative scale and duration of potential COVID-19 related impacts around the country, they needed to be treated with care recognising the higher levels of uncertainty.

The May 2020 research suggested that the ‘slow recovery scenario’ (Treasury’s scenario 5) was the most likely due to continuing high levels of uncertainty regarding global efforts to manage the pandemic (and the duration and scale of the resulting economic downturn).

The updates to Arataki V2 were framed around the ‘Slower Recovery Scenario’, as that scenario remained the most closely aligned with the unfolding impacts of COVID-19 in New Zealand and globally at that time.

Find out more about Arataki, our 10-year plan for the land transport system

May 2021The May 2021 update to employment modelling used to inform Arataki Version 2 is now available. Employment modelling dashboard - updated 2021Arataki used the May 2020 information to compare how various regions and industries might be impacted by COVID-19. Almost a year later, it is clear that New Zealand fared better than forecast in May 2020.Waka Kotahi therefore commissioned an update to the projections through a high-level review of:the original projections for 2020/21 against performancethe implications of the most recent global (eg International monetary fund world economic Outlook) and national economic forecasts (eg Treasury half year economic and fiscal update)The treasury updated its scenarios in its December half year fiscal and economic update (HYEFU) and these new scenarios have been used for the revised projections.Considerable uncertainty remains about the potential scale and duration of the COVID-19 downturn, for example with regards to the duration of border restrictions, update of immunisation programmes. The updated analysis provides us with additional information regarding which sectors and parts of the country are likely to be most impacted. We continue to monitor the situation and keep up to date with other cross-Government scenario development and COVID-19 related work. The updated modelling has produced employment forecasts for each region and district over three time periods - 2022, 2025, 2031.The 2022 forecasts carry greater certainty as they reflect the impacts of current events. The 2025 and 2031 forecasts are less certain because of the potential for significant shifts over that time.

Data reuse caveats: as per license.

Additionally, please read / use this data in conjunction with the Infometrics and Martin Jenkins reports, to understand the uncertainties and assumptions involved in modelling the potential impacts of COVID-19.

COVID-19’s effect on industry and regional economic outcomes for NZ Transport Agency [PDF 620 KB]

Data quality statement: while the modelling undertaken is high quality, it represents two point-in-time analyses undertaken during a period of considerable uncertainty. This uncertainty comes from several factors relating to the COVID-19 pandemic, including:

a lack of clarity about the size of the global downturn and how quickly the international economy might recover differing views about the ability of the New Zealand economy to bounce back from the significant job losses that are occurring and how much of a structural change in the economy is required the possibility of a further wave of COVID-19 cases within New Zealand that might require a return to Alert Levels 3 or 4.

While high levels of uncertainty remain around the scale of impacts from the pandemic, particularly in coming years, the modelling is useful in indicating the direction of travel and the relative scale of impacts in different parts of the country.

Data quality caveats: as noted above, there is considerable uncertainty about the potential scale and duration of the COVID-19 downturn. Please treat the specific results of the modelling carefully, particularly in the forecasts to later years (2025, 2031), given the potential for significant shifts in New Zealand's socio-economic situation before then.

As such, please use the modelling results as a guide to the potential scale of the impacts of the downturn in different locations, rather than as a precise assessment of impacts over the coming decade.

US Tariff Impact on Market

The imposition of U.S. tariffs on imported technology components, particularly software and cloud infrastructure, has created challenges for businesses in the Big Data in e-commerce market. Tariffs on components used to build cloud-based solutions and data processing software can lead to increased operational costs.

These increased costs may be passed onto e-commerce businesses, which could slow down the adoption of Big Data solutions in the short term. U.S. companies, heavily reliant on imports for these technologies, are facing disruptions in supply chains and may need to invest in domestic production or explore alternative suppliers to mitigate the impact.

Although these challenges may dampen the short-term growth, long-term demand for Big Data in e-commerce is expected to remain strong, particularly with growing reliance on data analytics for customer experience management.

➤➤➤ Get More Insights about US Tariff Impact Analysis @ https://market.us/report/big-data-in-e-commerce-market/free-sample/

• Economic Impact: U.S. tariffs on technology components raise costs, impacting pricing for Big Data solutions and leading to increased operational expenses for e-commerce businesses.
• Geographical Impact: U.S. companies face higher prices for software and cloud solutions, resulting in a slowdown in adoption in the short term, while increasing pressure to source locally or from other regions.
• Business Impact: Tariffs on imported technology components lead to higher prices and margin compression for e-commerce companies, potentially delaying investments in Big Data solutions.

Impact Percentage on Sectors

• Software and Cloud Infrastructure: +8-10%
• E-commerce Data Solutions: +5-7%

This report uses recent economic modelling to relate cognitive skills – as measured by PISA and other international instruments – to economic growth, demonstrating that relatively small improvements to labour force skills can largely impact the future well-being of a nation. The report also shows that it is the quality of learning outcomes, not the length of schooling, which makes the difference. A modest goal of all OECD countries boosting their average PISA scores by 25 points over the next 20 years would increase OECD gross domestic product by USD 115 trillion over the lifetime of the generation born in 2010. More aggressive goals could result in gains in the order of USD 260 trillion.

This data package includes the underlying data to replicate the charts, tables, and calculations presented in The US Revenue Implications of President Trump’s 2025 Tariffs, PIIE Briefing 25-2.

If you use the data, please cite as:

McKibbin, Warwick, and Geoffrey Shuetrim. 2025. The US Revenue Implications of President Trump’s 2025 Tariffs. PIIE Briefing 25-2. Washington: Peterson Institute for International Economics.

United States Coincident Economic Index: MoM data was reported at 0.300 % in Feb 2025. This records an increase from the previous number of 0.200 % for Jan 2025. United States Coincident Economic Index: MoM data is updated monthly, averaging 0.200 % from Feb 1959 (Median) to Feb 2025, with 793 observations. The data reached an all-time high of 4.400 % in Jun 2020 and a record low of -10.800 % in Apr 2020. United States Coincident Economic Index: MoM data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.The Conference Board: Leading Economic Index. [COVID-19-IMPACT]

Scientific and economic consultants were boosted by downstream client demand for economic guidance and robust federal policies in areas like infrastructure and national defense. Consultants’ provision of a diverse service range with varying degrees of specialization across the public and private sectors helped generate countercyclical demand that saved consultants during the pandemic. Major sectors, such as the financial and retail sectors, procured consultant services to help navigate the new economic reality and continued contracting consultants when inflation spiked to 9.1% in 2022 and interest rates spiked to 5.3% in 2023, per the Federal Reserve. Consulting's highly specialized workforce is also very experienced in touting the financial benefits of consulting for business revenue for targeted clients, which helped retain clients stressed by consumer changes, such as retail and wholesale businesses. Overall, scientific and economic consulting expanded at a CAGR of 5.8% to an estimated $63.5 billion over the past five years, including an estimated 1.9% boost in 2025 alone, when profit reached 9.4%. Scientific and economic consulting sets itself apart from the rest of the economy by leaning on highly trained employees, earning many government contracts and leveraging countercyclical demand. Consultants earn their reputation with both traditional and continuing education; this costs consultants large sums, but pays back overall with the enormous per-hour fees charged by consultants to clients. Employees can then provide huge value to unique clients, including lawmakers and military contractors, which are more accepting of high consulting costs. Government contracts combined with legal advisory services and services for struggling companies give consulting a moderate countercyclical revenue stream, which lowers revenue volatility dramatically. Improving economic conditions are expected to provide specialized consultants with some growth over the next five years. Specialized areas of consulting, such as genomics and pharmaceuticals, are likely to be a source of strong growth for consultants as pharmaceutical companies pursue new products, though these benefits will be most available to resourced consultants. Larger consulting companies are expected to pursue mergers and acquisitions to increase their market share, but overall fragmentation will remain elevated due to the continually falling barriers to nonemployer entry. Finally, stable federal investment in R&D spending and the continued influence of long-term federal policies, such as the Infrastructure Investment and Jobs Act (IICJA), will provide a diversified range of consulting needs for federal agencies. Over the next five years, revenue is expected to heighten at a CAGR of 0.9% to an estimated $66.4 billion.

The 2016 Recycling Economic Information (REI) Report aims to increase the understanding of the economic implications of material reuse and recycling. The report shows that recycling and reuse of materials creates jobs, while also generating local and state tax revenues. The 2016 REI Report covers the economic activities of nine sectors: ferrous metals, nonferrous metals (aluminum), glass, paper, plastics, rubber, construction and demolition, electronics and organics (including food and yard trimmings). The 2016 REI Report builds on work from a 2001 REI study. In 2001, to encourage the development of an economic market for recycling, EPA supported the creation of a national Recycling Economic Information (REI) Project and the related REI report, based upon the work of several states and regions. The REI report was a ground breaking national study demonstrating the economic value of recycling and reuse to the U.S. economy. Compiled through a cooperative agreement with the National Recycling Coalition, the study confirmed what many have known for decades: there are significant economic benefits in recycling. The 2016 report focuses on the economic impacts of recycling rather than the environmental benefits, as the environmental benefits have been researched in detail. Accurately estimating the impact that recycling has on jobs, wages and taxes is important because the results can influence policy decisions and provide a more robust picture of recycling by adding an economic layer on top of the more heavily researched environmental impacts of recycling. For more information, please visit https://www.epa.gov/smm/recycling-economic-information-rei-report. The REI Report is part of EPA's larger SMM program (https://www.epa.gov/smm). Sustainable Materials Management (SMM) is a systemic approach to using and reusing materials more productively over their entire lifecycles. It represents a change in how our society thinks about the use of natural resources and environmental protection. By looking at a product's entire lifecycle we can find new opportunities to reduce environmental impacts, conserve resources and reduce costs. There are multiple challenge programs available as part of the SMM program, including the Food Recovery Challenge, the Electronics Challenge, the Federal Green Challenge and the WasteWise program.

United States SB: TN: COVID-19 Impact: Moderate Positive Effect data was reported at 6.600 % in 11 Apr 2022. This records an increase from the previous number of 5.500 % for 04 Apr 2022. United States SB: TN: COVID-19 Impact: Moderate Positive Effect data is updated weekly, averaging 7.600 % from Nov 2021 (Median) to 11 Apr 2022, with 17 observations. The data reached an all-time high of 9.400 % in 20 Dec 2021 and a record low of 4.900 % in 10 Jan 2022. United States SB: TN: COVID-19 Impact: Moderate Positive Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).

Initial Jobless Claims in the United States decreased to 221 thousand in the week ending July 12 of 2025 from 228 thousand in the previous week. This dataset provides the latest reported value for - United States Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

US Tariff Impact on Market

US tariffs on financial services, technology and equipment could impact the check-cashing market by raising the cost of service infrastructure. This could lead to higher fees for consumers, particularly in retail and convenience stores, which hold a significant share of the market. The increased costs could be passed onto customers, especially in the personal segment, which captures over 68.6% of the market.

Additionally, tariffs may affect smaller, independent check-cashing service providers, reducing competition. However, given the steady demand for alternative financial services from the underbanked population, the market is expected to continue growing, despite potential cost increases.

US Tariff Impact on Sectors:

• Payroll Checks: 4%-6%
• Personal Transactions: 5%-7%
• Retail & Convenience Stores: 3%-5%

➤➤ Request sample reflecting US tariffs @ https://market.us/report/us-check-cashing-market/free-sample/

Economic Impact

Tariffs on financial technology and equipment could raise operational costs for check-cashing services, leading to higher service fees. These increased costs could affect consumers, particularly in price-sensitive segments like personal financial transactions, slowing down adoption and growth, especially for smaller service providers.

Geographical Impact

The US, particularly in regions with large underbanked populations, will face the most significant impact from tariffs. Higher service fees in retail and convenience stores, which account for a large portion of the market, could reduce accessibility and affordability, especially for lower-income individuals relying on check-cashing services.

Business Impact

Businesses in the check-cashing sector may experience higher operational costs due to tariffs, which could reduce profit margins and lead to higher fees for customers. Smaller, independent providers may be hit hardest, potentially leading to consolidation and fewer service options, while larger chains may absorb some of the additional costs.

US Tariff Impact on Market

US tariffs on imported components essential for micro data center infrastructure could raise production costs, particularly in areas like servers, cooling systems, and storage components. These cost increases could be passed on to consumers, especially impacting large enterprises that rely on extensive data storage.

While tariffs might disrupt the supply chain and cause price hikes, the growing demand for edge computing and smaller, more efficient data centers may still drive market expansion. Larger enterprises, which account for 62.6% of the market, may absorb the higher costs or source components from tariff-friendly regions, but these short-term price hikes could limit the adoption of micro data centers in smaller businesses and emerging markets.

US Tariff Impact on Sectors

• Micro Data Center Solutions: 4%-6%
• Storage Components: 5%-7%
• Edge Computing Solutions: 3%-5%

Economic Impact

Tariffs could increase the cost of critical components like servers and storage systems, raising the price of micro data centers. These higher costs may slow adoption, especially in cost-sensitive industries and smaller businesses, which could delay market growth and impact the profitability of companies operating in this space.

Geographical Impact

In North America, which holds 39.4% of the market share, tariffs could lead to higher prices for micro data centers, slowing adoption in the U.S. market. This could hinder growth in edge computing solutions and limit the adoption of micro data centers in regions with already high operational costs.

Business Impact

Businesses in the micro data center market could face margin compression due to higher tariffs on imported components. Companies may need to adjust their pricing models or absorb the additional costs, which could reduce their competitiveness. Smaller players could be particularly affected, potentially leading to consolidation in the market.

➤➤ Request sample reflecting US tariffs @ https://market.us/report/micro-data-center-market/free-sample/

United States Leading Economic Index data was reported at 101.100 2016=100 in Feb 2025. This records a decrease from the previous number of 101.400 2016=100 for Jan 2025. United States Leading Economic Index data is updated monthly, averaging 59.950 2016=100 from Jan 1959 (Median) to Feb 2025, with 794 observations. The data reached an all-time high of 120.200 2016=100 in Dec 2021 and a record low of 22.200 2016=100 in Jan 1959. United States Leading Economic Index data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.The Conference Board: Leading Economic Index. [COVID-19-IMPACT]

Quarterly Journal of Economics Impact Factor 2024-2025 - ResearchHelpDesk - The Quarterly Journal of Economics is a peer-reviewed academic journal published by the Oxford University Press for the Harvard University Department of Economics. Its current editors-in-chief are Robert J. Barro, Lawrence F. Katz, Nathan Nunn, Andrei Shleifer, and Stefanie Stantcheva (Harvard University). It is the oldest professional journal of economics in the English language and covers all aspects of the field—from the journal's traditional emphasis on micro theory to both empirical and theoretical macroeconomics. According to the Journal Citation Reports, the journal has a 2015 impact factor of 6.662, ranking it first out of 347 journals in the category "Economics". It is generally regarded as one of the top 5 journals in economics, together with the American Economic Review, Econometrica, the Journal of Political Economy, and the Review of Economic Studies. The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field. QJE is invaluable to professional and academic economists and students around the world. Scope of the Journal The Quarterly Journal of Economics is the oldest professional journal of economics in the English language. Edited at Harvard University's Department of Economics, it covers all aspects of the field-from the journal's traditional emphasis on micro theory, to both empirical and theoretical macroeconomics. QJE is invaluable to professional and academic economists and students around the world. Impact Factor and Ranking Year Impact Factor Ssi: Economics 2020 15.563 1 out of 377 2019 11.375 1 out of 371 2018 11.775 1 out of 363 2017 7.863 1 out of 353 2016 6.662 1 out of 347 2015 5.538 2 out of 344 2014 6.654 1 out of 333 2013 5.966 3 out of 332 2012 5.278 2 out of 332 2011 5.920 2 out of 320 2010 5.940 2 out of 304 2009 5.647 2 out of 245 This information is taken from the Journal Citation Reports™ (Clarivate, 2021). Abstracting & Indexing Services The Quarterly Journal of Economics is covered by the following abstracting and indexing services: ABI-INFORM Book Review Digest Plus CAB Abstracts Coal Abstracts Criminal Justice Abstracts Current Contents: Social & Behavioral Sciences Current Index to Statistics Dietrich's Index Philosophicus Documentation in Public Administration EconLit Emerald Management Reviews Environmental RouteNet Environmental Sciences & Pollution Management Database Expanded Academic ASAP Family Index Historical Abstracts Human Resources Abstracts IBZ: International Bibliography of Periodical Literature Index of Economic Articles in Journals & Collected Volumes Index to Periodical Articles Related to Law International Bibliography of Humanities & Sociological Literature Leisure, Recreation, and Tourism Abstracts Leisure Tourism Database LexisNexis Operations Research - Management Science Peace Research Abstracts ProQuest Central Public Administration Abstracts Quality Control & Applied Statistics RePec Risk Abstracts SCOPUS Social Science Source Social Sciences Citation Index/Social SciSearch Social Sciences Index Social Work Abstracts Wilson Business Abstracts World Agricultural Economics & Rural Sociology Abstracts Zentralblatt MATH