Economics-Watching: Tracking the Economy in Real‑Time Through Regional Business Surveys

[from the Federal Reserve Bank of New York’s The Teller Window, 23 September 2025]

by Richard Deitz and Kartik Athreya

Federal Reserve policymakers need current information about economic conditions to make well-informed monetary policy decisions. But hard data, such as GDP and the unemployment rate, is released with a significant lag, making it difficult to get a precise, real-time read on the economy, especially during times of rapid change.

To help fill the gap, the New York Fed conducts two monthly regional business surveys: the Empire State Manufacturing Survey of manufacturers in New York state and the Business Leaders Survey, which covers service sector firms in New York state, northern New Jersey, and Fairfield County, Conn. These surveys provide timely soft data, available well before hard data is released.

Hard data is based on precise quantitative measurements, such as sales figures or the specific prices firms are charging. By contrast, soft data is qualitative, focusing on trends, expectations, and sentiment around economic activity. And while hard data looks backward, soft data from the regional surveys can look forward—providing important information about expectations for the future and emerging trends.

Gathering soft data quickly can be impactful—for example, the Empire State Manufacturing and Business Leaders surveys signaled a sharp downturn in economic activity in early March 2020 [archived PDF], providing a warning weeks before official statistics captured the full extent of the COVID pandemic’s economic impact.  

How the Surveys Work

The New York Fed launched the Empire State Manufacturing Survey in 2001. It was modeled after the Philadelphia Fed’s Business Outlook Survey, a long-running manufacturing survey that has historically been watched by financial markets and policymakers as an early signal about national manufacturing conditions. The Business Leaders Survey was launched later in 2004 and was among the first regional business surveys to target the service sector.

The surveys are sent to over 300 business executives and managers at firms across industries during the first week of every month. While about two-thirds of participating firms have 100 or fewer employees, some have hundreds or thousands of workers.

Leaders at the firms fill out a short questionnaire asking if business activity has increased, decreased, or stayed the same compared to the prior month. The surveys ask about indicators such as prices–yielding insights into inflationary pressures–as well as employment, orders, and capital spending. Respondents answer questions about how they expect these indicators to change over the next six months, offering a forward-looking perspective on the economy’s trajectory.

From the responses, New York Fed researchers construct diffusion indexes by calculating the difference between the percentage of firms reporting increased activity and those reporting decreased activity. Positive values indicate that more firms say activity increased than decreased, suggesting activity expanded over the month. Higher positive values indicate stronger growth, while lower negative values indicate stronger declines.

The surveys include local businesses, like restaurants and car dealerships, as well as firms with national and global reach, such as software manufacturers and shipping enterprises. As a result, the economic indicators derived from the surveys are often early predictors of national economic patterns, frequently aligning with hard data released later.

Getting Answers on Current Issues

The surveys regularly ask supplemental questions about current economic issues to get real-time answers. Over the last few years, the surveys have asked about firms’ experience with tariffsinflation expectations, if the use of AI is leading to a reduction in employment, how often employees work from home [archived PDF], and whether supply availability was affecting their businesses.

Going Beyond the Indicators

In addition to providing data to track economic conditions, the regional surveys also provide a channel to hear directly from local business leaders. Every month, survey respondents are asked for their comments, offering the opportunity for businesses to share their thoughts, concerns, and experiences with the New York Fed. This helps researchers and policymakers understand how businesses are being affected by economic conditions.

The surveys act as one of the bridges between the New York Fed and the business community, ensuring the voices of regional businesses are considered in economic assessments and policy discussions as well as enhancing the ability of policymakers to make informed decisions to respond effectively to economic challenges.

Executives, owners, or managers of businesses in New York, northern New Jersey, or Fairfield County, Conn., interested in participating in the New York Fed’s monthly business surveys can find more information here. The next survey results will be released on Oct. 15 and 16.

Digitizing Heritage: Exploring the Transformation of Culture to Data

[from India in Transition by the Center for the Advanced Study of India at the University of Pennsylvania, 1 September 2025]

by Krupa Rajangam & Deborah Sutton

“Oh that. We just took some undergraduate history students on board as interns. They provided the content and it was done.

The co-founder of a digital heritage initiative promoting interactive user interfaces offered these opening remarks. Speaking at a Delhi-based museum, he had been asked about the information provided to users as they moved their hands across an interactive board, revealing images and narratives relating to the Indian freedom movement. His response clarified that the physical and digital components of such installations—for example, the 3D-modeling software and hardware, scanning equipment and its resolution and the user interface—were more carefully designed and calibrated than the content they provided.

Contemporary cultural heritage (CH) is rife with digital innovation. The COVID pandemic accelerated this transformation as archivists and curators worked to develop content that would reach remote, locked-down audiences. Within significant limits, digital platforms can democratize and facilitate access to materials previously inaccessible. Instead of being physically siloed, digitized material—as data components and not just content on culture—can be reproduced, combined, and circulated infinitely to achieve a reach previously considered impossible. Accessibility and malleability remain one of the great boons of digital formats. But here, we consider the information economy of CH practice as it exists—and not its extraordinary and often hypothetical potential—in two, overlapping realms of digitized CH: for-profit business enterprises and academic side-hustles, related to more mainstream academic research.

In the former, questions of what is shared are often less significant than the appeal of the format. In the latter, innovation is often the result of short-term projects that languish, abandoned after project completion, and rarely find audiences. Our research builds on our individual experiences and the findings of a scoping exercise examining a number of India-based heritage projects conducted in 2021-22. It suggests the need for more careful consideration of the implications of transforming CH materials into forms of data; the change impacts everything from how we understand “originality” to the reliance on for-profit services to deliver heritage material to the public.

As digitized representations of CH and access to such formats become more widespread, are we, as CH practitioners and academics, giving enough thought to how digital technologies are reshaping the nature of CH and its audience? Beyond questions of wider reach, are we sufficiently acknowledging how these changes challenge a continued focus on originality and notions of academy as primary controllers of access to knowledge and its validity, both in research and practice?

Digitizing for Dissemination

In 2019, one of us—Deborah Sutton—developed a software platform, Safarnama, including an app and authored experiences around Delhi’s CH. The project subsequently extended to Karachi. Generating “original” content, such as audio-visual clips and old photos, to be hosted on the app platform, was key to its attractiveness and usefulness, but permissions proved tricky. Some collaborators who were initially keen to contribute content quietly withdrew, likely due to the unfamiliar format and unknown reach. The app format also raised other questions. Would incorporating content from non-digital but published scholarship require authorial permission or only acknowledgement?

In 2020, Krupa Rajangam held a sponsored incubation at the NSRCEL, a business incubator located at the Indian Institute of Management-Bangalore, to develop a web interface that would host geo-locationed stories of marginalized histories by drawing on both historical facts and lived experiences. Corporate mentors remained skeptical of her ability to source “original” content on an ongoing basis, i.e., content that was both authenticated and validated. They repeatedly advised her to focus on the format, user experience, and appeal for “mass markets” so her prototype would find audiences. Both projects equally raised questions over who would consume the content and what constitutes the public or audience.

In a scoping exercise undertaken for the Arts and Humanities Research Council (AHRC), UK, in 2021-22, we explored a number of India-based heritage projects funded by the AHRC in partnership with the Newton Fund and Indian Council for Historical Research, since 2015 (figure 1). We were particularly interested in the digital components, which all projects included, even if only a website.

Our exploratory surveys firmly established the divergence in interpreting both CH and digital technologies, which was not surprising. Some projects defined and treated CH as fixed pre-existing material, to be interpreted and presented to audiences through digital technologies. Others re-framed digital formats of CH as components of data, assembling, manipulating, and representing extant archival and other materials. The rest generated digitized CH, effectively altering its nature. Typically, such projects dealt with more ephemeral or less conventional forms of CH.

Fundamental Transformations

Notions of originality remain central to art, architectural and art historical training, and CH practice. Digitization transforms the access and retrieval value of “original” material in physical archives, such as old maps and letters, much lauded in traditional “analog” scholarship, to use value as data. Once the end-user (audience) accesses this data (whether historical facts or stories), it becomes nothing more than bytes occupying valuable space, to be deleted once consumed rather than stored, making it easy to overlook or disregard the source and its context.

For example, in the Safarnama project, the app contained carefully collected and authenticated narratives on “partition memories” in Delhi and Karachi. However, the bite-sized media format meant that users would only explore content once, as snippets. This realization led the team to develop the software and incorporate the ability to download content, which at least meant that users could collect, organize and store (archive) the assembled media.

Digitization also takes away the materiality of the archive, making it more ephemeral. Non-digital materials through, and into which we render CH can (in endless combinations and cycles) be lost, forgotten, sold, recovered, collected, displayed, and stored. Such capacities of digital files are obvious, but maintaining access depends on varied and dynamic software ecologies for existence and sustained end-user access. Digital files created within one software-architecture can be incompatible with, and therefore rendered obsolete, by another. The ethos of software development is constant change.

In another paper, we examined questions of quantity, quality, and reusability of data related to digitization of building-crafts knowledge alongside CARE and FAIR principles of data management. The principles were proposed and adopted by an international consortium of scholars and industry, the former focused on responsible collection, use, and dissemination of data, especially related to vulnerable people and the latter on sustainable data management.

As an example, one AHRC project experimented with methods to capture detailed 3D images of heritage sites and structures in dynamic crowded environments. They used one set of methods to capture the interiors and another for the exteriors, hoping to merge both together and develop holistic imagery for audiences. This proved impossible at first due to issues of software compatibility. Once that was partially resolved, the new software couldn’t handle the sheer volume of data captured—and it was unclear where and for how long such volumes of data would be stored.

New realms of intellectual property remain fuzzy. While the content on digital platforms is governed by licensing and proprietary legal frameworks, it is often hosted on open platforms, through web repositories such as GitHub. Prima facie, such openness appears to challenge the proprietorial nature of archives and other repositories as keepers of knowledge. However, it raises a host of questions about how to maintain a critical understanding of archives.

Digitization may, and should, transform access but should it obliterate the regimes through which the materials were generated and organized and what’s included or excluded? For example, a local coordinator of one project that engaged with artists commented that digital technologies are typically used to document technical skills as forms of intangible heritage and develop artist encyclopedias, saying that “they are hardly used to interrogate the reality that many ‘traditional’ artists hail from marginalized castes.” Similarly, the local coordinator of another project that engaged with communities living in and around a protected heritage site commented on how digital technologies often end up being used to create a record of heritage structures without any reference to their day-to-day setting.

Any and all digital enterprise in CH, we argue, needs to integrate the ambition to use digital methods to not just present but also counter and interrogate the material, its creation, and purpose. Digital platforms and web- and app-based software are now able to manipulate and re-situate information in unprecedented ways. The novelty of such formats can displace original, provocative, and timely considerations of the material. Often, we are so taken by the visual and structural attributes of these formats, that we accept it at face value and lose sight of the tone and content of heritage as a curated message about the past and the present.

Alongside this, digital augmentations and iterations of CH, including storage, have significant financial and infrastructural implications. The creation and maintenance of digital platforms requires either developing “in-house” digital specialization or, more commonly, reliance on private, for-profit platforms. Paying for external provision introduces complexities. Funders, including the AHRC, struggle to devise guidance or policy in relation to software licensing. However, a persistent challenge to projects, and partnerships between academic and non-academic partners, is devising data and software strategies that subsist beyond the life of the funded-research project. Often, the adverse effects of the paucity of longer-term planning around IP issues, sustainability, and data archiving falls disproportionately on the non-academic stakeholder.

While digitization foregrounds the potential and promise of complete openness and equity, maybe this is lost in practice. Or digitization may merely mark the displacement of one set of ethics with another. There is a need for more careful consideration of the implications, complexities, and risks of taking CH materials out of boxes and off shelves and transforming and generating it into data files, which are, in turn, dependent on digital platforms to provide end-user access. However, the question remains of whether heritage-related disciplines are adequately prepared and willing to confront such new ways of working, which have begun to dislodge some of the privileges extant in current forms of research and practice.

Krupa Rajangam is nearing the end of her tenure as a Fulbright Fellow at the Historic Preservation Department, Weitzman School of Design, University of Pennsylvania. Her permanent designation is Founder-Director, Saythu…linking people and heritage, a professional conservation collective based in Bangalore, India.

Deborah Sutton is a Professor in Modern South Asian History at Lancaster University.

Economics-Watching: From Code to Cash: How Programmable Payments Are Shaping the Future of Finance

[from the Federal Reserve Bank of Atlanta, by Chris Colson, payments expert]

When I was first introduced to computers, programming languages like COBOL, Fortran, and Pascal were standard. None of them were particularly user-friendly, especially for someone like me who isn’t a natural coder. Over time, new languages and tools appeared, making programming more accessible.

Today, we have low-code and no-code platforms [related YouTube video] that allow people with little to no coding experience to build apps. Just as programming has become easier, payments are becoming programmable, offering automation, simplicity, and flexibility.

Programmable payments are automated transactions that occur when specific conditions or events are met. Unlike traditional payment methods, which can rely on manual approvals or fixed schedules (think monthly software transactions), programmable payments offer a more dynamic approach. For instance, a programmable payment might only occur when a product is delivered or a service is completed.

Two key technologies power programmable payments: smart contracts and application programming interfaces (APIs). Smart contracts are self-executing digital agreements that run on blockchain and automatically release payments once specified conditions are met. APIs allow different systems to communicate, which enables the automation of payment processes across platforms. For example, a business might set up an API process that triggers a payment and then marks the invoice as “paid” in its accounting software.

The biggest advantage of programmable payments is automation. By automating transactions, businesses can eliminate repetitive tasks like payroll or vendor payments, reducing the time spent on manual processes while also minimizing the risk of human error. Automation can also help businesses save money, as they may no longer need intermediaries like banks or payment processors to facilitate transactions. Blockchain-based smart contracts can bypass the need for banks to verify payments, resulting in faster, cheaper transactions.

Transparency and security are other significant advantages, particularly when programmable payments are powered by blockchain. Each transaction is recorded on a decentralized ledger, providing a clear, auditable trail of activity. This can help reduce the risk of fraud and create a more secure system for managing payments.

The potential of programmable payments goes beyond automating individual transactions. For supply chain management, payments that are automatically triggered upon delivery of goods can reduce the need for manual verification, and thus improve operational efficiency. In decentralized finance, programmable payments can streamline processes like loan repayments and insurance payouts, improving speed and transparency.

As the Internet of Things expands, integrating programmable payments could allow devices to handle payments autonomously. Imagine a car that automatically pays for tolls or parking, or a smart refrigerator that orders and pays for groceries when supplies run low. The possibilities for real-time, automated payments between connected devices are enormous.

Despite all the potential, programmable payments face challenges. The technology—particularly blockchain-based systems—can be complex and requires specialized expertise, which can increase upfront costs for businesses. In addition, the regulatory environment around programmable payments is still evolving, especially for cross-border transactions. This creates uncertainty for businesses.

Much like low-code and no-code platforms make app development accessible to non-coders, programmable payments are moving toward a future with minimal human intervention. Both are about simplifying complex systems: low-code/no-code platforms hide the complexity of software development, while programmable payments automate financial processes with predefined logic.

Both point to a future where systems execute tasks on their own, based on rules set by users. The goal is simple: Once the conditions are established, the system handles the rest.

Programmable payments are reshaping the future of finance. It’s an exciting future that promises smarter and more streamlined and efficient financial operations.