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Paying respondents, IRS records and other pitches to improve US labor data

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Poor response rates used to compile vital U.S. economic surveys have some pitching an unconventional solution: paying respondents to answer questions.

It’s one of several ways economists have proposed the Bureau of Labor Statistics strengthen its data collection and compilation. Others include allowing it to use certain Internal Revenue Service business records and leaning harder on private data and artificial intelligence.

There’s no simple solution for the statistical agency, which has long been trying to boost waning response rates among households and businesses. Skepticism about the accuracy of government statistics has been festering in recent years, but reached a fever pitch when President Donald Trump fired the head of the BLS this month after the agency said job growth in recent months was dramatically weaker than previously reported.

While many of the possible approaches are unorthodox or costly, and would take months or even years to implement, there’s broad agreement the BLS must consider changes to improve America’s economic data.

Here’s a few of those proposals:

Incentives

Using incentives, including paying cash for participation, may be gaining traction after one of the president’s top economists acknowledged their possible use. It’s not a new idea. Years ago, the government conducted several experiments to determine the impact on responses, and some showed promise, according to a BLS paper.

“I think that we can start thinking about incentive schemes to drive response rates higher,” Stephen Miran, chair of the White House Council of Economic Advisers and Trump’s pick to fill a vacated seat on the Federal Reserve Board of Governors, said Aug. 12 on CNBC.

Still, some economists see risks of sampling bias that favors people who are idle or short of cash. It could also be expensive at a time when Trump is seeking to trim the size of government.

Erica Groshen, the BLS commissioner for four years in the 2010s, worries that incentives could bias the sample of respondents, and they could be problematic if some people are compensated and others aren’t.

Response rates for the BLS household survey, which is used to calculate unemployment and labor force participation, have fallen below 70% since late last year. That’s well below the roughly 90% seen a little more than a decade ago. Each month, about 60,000 households are contacted by telephone or personal visit.

“You’re being contacted by strangers, when everyone hates being contacted by strangers,” said Ron Hetrick, a former BLS economist now with the workforce consulting firm Lightcast. He added that “money would certainly help. Modernization would certainly help.”

The BLS’s monthly survey of businesses, which it uses to estimate job totals, has also seen initial monthly responses slip to less than 60% all too frequently over the past couple of years, the agency’s data show. A decade ago, the first collection rate was close to 80%.

That data, which was at the center of Trump’s frustration earlier this month, appears to also be a focus for his new choice to lead the agency. Before he was picked, EJ Antoni said the BLS should suspend the monthly jobs report “until it is corrected.”

IRS records

Another option that has long been floated to enhance not only the BLS establishment survey, but the statistical system as a whole, would be allowing the agency to use certain IRS business records.

The tax agency collects data about new firms created and employee headcount. Those figures could help the BLS keep track of how many workers are being hired when new businesses start up, and how many are let go when firms shut down, Groshen said.

Estimating payrolls of newly opened — or closed — businesses has always been tricky, but a surge of new business formations during the pandemic recovery only made it harder. Some economists said this so-called “birth-death model” was at the root of a 589,000 downward revision to seasonally adjusted employment counts in the year through March 2024.

Still, allowing BLS to use IRS tax records has been a hard sell on Capitol Hill, where elected representatives and congressional staff “nearly never want to deviate from saying no” to expanding access, Groshen said.

Umbrella agency

A related idea to encouraging greater cooperation within government is creating an economic statistics super-agency. The upshot is that it would allow for a more seamless flow of data between the existing agencies. Currently, a substantial portion of official federal statistics is produced by 13 agencies. That’s at odds with some other countries, including Canada with its Statistics Canada, that have a more centralized approach.

In its budget proposal earlier this year, the Trump administration suggested a smaller step — bring BLS under the Commerce Department with the Census Bureau and the Bureau of Economic Analysis.

Frequent benchmarking

Once a year, the BLS benchmarks its payrolls estimate, which is drawn from monthly surveys of about 121,000 establishments and government agencies, to a more robust count gleaned from state unemployment insurance records.

This process is laborious because the BLS has to gather the unemployment insurance records from all the states. Streamlining collection efforts with states has the potential of producing more accurate national payrolls figures. If the BLS benchmarks its employment figures twice a year, it could improve the nation’s job counts, said William Beach, a former BLS commissioner. He estimates that would cost around $25 million a year.

Alternative data

Given the spread of artificial intelligence and alternative data, many are also pushing for the BLS and other federal agencies to embrace new, more modern collection methods than traditional phone calls and surveys. BLS already uses some third-party data for its monthly consumer price index report, including vehicle prices from J.D. Power. And the Census Bureau has not only tapped alternate data sources but also experimented with satellite imagery.

The process for making job estimates is “obsolete and error-prone,” Ray Dalio, the billionaire founder of hedge fund Bridgewater Associates, said in a post on LinkedIn after Trump dismissed the BLS commissioner. Private estimates “were in fact much better,” he said. Dalio declined to comment or clarify what private data he was referring to when reached by phone afterward.

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SEC’s Semiannual Reporting Proposal Faces Investor Pushback: What CFOs Need to Know

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U.S. Securities and Exchange Commission (SEC)

A proposal from the U.S. Securities and Exchange Commission to potentially shift some public companies away from quarterly financial reporting toward a semiannual model is drawing significant pushback from investors, even as it continues moving through the regulatory process. The debate has direct implications for corporate finance teams, auditors, and the broader transparency of U.S. capital markets.

What the SEC Proposed

According to a summary published by accounting advisory firm Cohen & Co., the SEC issued a proposed rule on May 19, 2026, aimed at simplifying financial reporting requirements for many U.S. public companies. The proposal would potentially reduce the frequency of certain mandatory disclosures from quarterly to semiannual, a structural change that has not been made to core U.S. reporting requirements in decades.

The proposal follows an extended debate within U.S. policy circles, with proponents arguing that reduced reporting frequency could lower compliance costs and free up management time for longer-term strategic planning rather than quarter-to-quarter results management.

Why Investors Are Pushing Back

Comment letters submitted in response to the proposal have been extensive, and according to Cohen & Co.’s review of the public record, investors “appear to be largely opposed” to the shift, viewing frequent interim reporting as a core benefit of U.S. capital markets relative to other jurisdictions.

Accounting and law firms have taken a more measured position, generally urging any changes to remain aligned with the Financial Accounting Standards Board (FASB), whose existing disclosure requirements and guidance are built around a quarterly reporting cadence. A shift to semiannual reporting without corresponding changes to FASB guidance could create friction between SEC filing requirements and GAAP-based disclosure expectations.

Lessons From the U.K. Experience

The debate is not without precedent. The United Kingdom moved away from mandatory quarterly reporting for listed companies in 2014, returning to a semiannual disclosure requirement. According to Cohen & Co.’s analysis, that experience offers a cautionary data point: there was no measurable increase in capital expenditure or R&D investment following the change, while analyst coverage of affected companies declined as reliable interim information became less available — a particular risk for smaller and newly public companies that rely on analyst coverage to maintain investor visibility.

Practical Implications for Finance Teams

Beyond the debate over disclosure philosophy, the proposal carries practical complications. Many companies have debt covenants and credit agreements structured around quarterly financial delivery; a shift to semiannual reporting could require renegotiating those terms. Reduced reporting frequency would also extend the “window of market silence” between disclosures, a factor that governance and investor-relations teams would need to manage carefully to avoid information asymmetry.

Separately, and unrelated to the reporting-frequency debate, the SEC and FASB have continued finalizing more routine updates this year. New Accounting Standards Updates are taking effect for December 31, 2026, fiscal year-ends covering income tax disclosures, credit loss measurement, induced debt conversions, and stock compensation, according to Eide Bailly’s review of 2026 ASU activity. Additional guidance on paid-in-kind dividends and environmental credits is also on the near-term horizon.

What to Watch Next

The semiannual reporting proposal remains in the comment and review phase, and no final rule has been adopted as of this writing. Finance leaders should monitor the SEC’s regulatory agenda for further movement, while treating the current quarterly reporting requirement as the operative standard until any final rule is issued and an effective date is set.

Given the extent of investor opposition documented in the comment file, a full shift to mandatory semiannual reporting appears more likely to result in either a scaled-back compromise or continued study rather than swift adoption — though the SEC’s ultimate direction remains uncertain.

 

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AI-Driven Automation and Continuous Accounting Frameworks

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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