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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 tariffs, inflation 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.

Navigating through Sources

Consciousness and the Novel: Connected Essays by the famous British novelist David Lodge is a classic work published by Harvard in 2004.

In this Lodge book, the author mentions a famous British society-watcher, Charles Masterman. In 1909, Masterman published his best-known study, The Condition of England, which tells us that England at that time experienced a greater inflow of migrants into London than in previous centuries taken together.

[Charles Frederick Gurney Masterman PC MP (24 October 1873 – 17 November 1927) was a British radical Liberal Party politician, intellectual and man of letters. He worked closely with such Liberal leaders as David Lloyd George and Winston Churchill in designing social welfare projects, including the National Insurance Act 1911. During the First World War, he played a central role in the main government propaganda agency.]

We then notice that one recurrent topic in various movie versions of the E. M. Forster novel Howards End (1910, set in those years) is the “horrifying” trend where great mansions and stately estates (Howards End and Wickham Place, say, in the novel) are all being demolished and replaced by ugly “flats.”

There must be, one thinks, a direct link between all the massive migrations into London at the time and all the proliferating flats at the “expense” of beautiful and historical villas. (This “demolish” trend is also part of the story of the classic novel A Handful of Dust by Evelyn Waugh, 1934)

In the predecessor to Downton Abbey called Upstairs, Downstairs, the story ends in 1930 with a sign outside the great “house” at Eaton Place offering flats coming soon, as the demand for housing (think of San Francisco today) is so massive that sellers can make a fortune selling out to developers, move into one of the flats being created, and live off the sale for the rest of their lives and “duck” the higher “Lloyd George taxes.” (In Downton Abbey, the dowager played by Maggie Smith repeatedly lashes out at Prime Minister Lloyd George as a kind of financial traitor.)

We see from this simple example how students should learn to “jump” between books and movies and TV miniseries to get a stronger focus on what’s being depicted on screens and pages and not just “swim along” at the surface level without any “drilling down.”

Education is largely the struggle or habit where students learn to bring pattern and structure out of “chaos,” thus giving narratives some overall shape.

This reminds one of the opening lines of Beryl Markham’s 1942 Africa memoir:

“How is it possible to bring order out of memory? I should like to begin at the beginning, patiently, like a weaver at his loom. I should like to say, ‘This is the place to start; there can be no other.’ ”
from West with the Night by Beryl Markham

This is a similar impetus: to bring order out of memory or others’ memories in books and movies from various times and places.

Machlup and Knowledge-Watching

Fritz Machlup is an underappreciated emigre economist from Vienna. His 1962 book, The Production and Distribution of Knowledge in the United States (Princeton University Press, 1962), is a “bible” of knowledge-watching and the zones where knowledge meets information, where Machlup was very prescient.

Fritz Machlup was an Austrian-American economist who was president of the International Economic Association from 1971–1974. He was one of the first economists to examine knowledge as an economic resource, and is credited with popularizing the concept of the information/knowledge society.

Born: December 15, 1902, Wiener Neustadt, Austria
Died: January 30, 1983, Princeton, NJ

Machlup distinguishes five types of knowledge:

Practical knowledge
Intellectual knowledge
Small-talk and pastime knowledge
Spiritual knowledge
Unwanted knowledge

These five kinds of knowledge are discussed and analyzed in Machlup’s The Production and Distribution of Knowledge in the United States starting on page 21 (and are discussed in Daniel Bell’s The Coming of Post Industrial Society, 1976, Basic Books, page 175).

The more comfortably one can link types 1, 2, and 4 in the list above, the more “together” one’s understanding might become. One does not have to be “dismissive” of Type 3.

Pleasant diversions are a a part of life and have their honorable place. One reason (to give a simple example) we’re drawn to poets like Wallace Stevens is that they seem to “sit comfortably” in their various (knowledge) roles: insurance salesman, poet, thinker and don’t “line up” or “array” these types of knowledge in a conflictual way but seem to “smile down” on all of them finding beauty everywhere.

Workaday knowledge might not have to “fight with” other kinds of knowledge. Insurance, say, is a form of risk-management and risk is essential to life and economics, as we have seen elsewhere. Economics looks at cost-benefit–risk-uncertainty all together when it goes beyond the narrow confines of academe to become a fuller quest. Cost-benefit analysis by itself is too restrictive. Start with Machlup as a highly intelligent “backdoor” into these domains of knowledge, information, learning, social contexts. This would help give you a handy additional “flashlight” on schooling in society including universities and campuses.