전체기사 최신뉴스 GAM
KYD 디데이
글로벌

속보

더보기

윌리엄 풀 세인트루이스 연준총재, '거시지표' 주제 연설(원문)

기사입력 :

최종수정 :

※ 본문 글자 크기 조정

  • 더 작게
  • 작게
  • 보통
  • 크게
  • 더 크게

※ 번역할 언어 선택

Data, Data and Yet More Data
William Poole*
President, Federal Reserve Bank of St. Louis

The Association for University Business and Economic Research (AUBER) Annual Meeting
University of Memphis
Memphis, Tenn.
Oct. 16, 2006

*I appreciate comments provided by my colleagues at the Federal Reserve Bank of St. Louis. Robert H. Rasche, senior vice president and director of research, provided special assistance. However, I take full responsibility for errors. The views expressed are mine and do not necessarily reflect official positions of the Federal Reserve System.


--------------------------------------------------------------------------------

Data, Data and Yet More Data

I am very pleased to be here today at the annual meeting of the Association for University Business and Economic Research. I’ve long had an interest in data, and I think that this topic is a good one for this conference. The topic is also one I’ve not addressed in a speech.

A personal recollection might be a good place to begin. In the early 1960s, in my Ph.D. studies at the University of Chicago, I was fortunate to be a member of Milton Friedman’s Money Workshop. Friedman stoked my interest in flexible exchange rates, in an era when mainstream thinking was focused on the advantages of fixed exchange rates and central banks everywhere were committed to maintaining the gold standard. Well, I should say central banks almost everywhere, given that Canada had a floating rate system from 1950 to 1962. Friedman got me interested in doing my Ph.D. dissertation on the Canadian experience with a floating exchange rate, and later I did a paper on nine other floating rate regimes in the 1920s. For this paper I collected daily data on exchange rates from musty paper records at the Board of Governors in Washington.

What was striking about the debates over floating rates in the 1950s is that economists were so willing to speculate about how currency speculators would destabilize foreign exchange markets without presenting any evidence to support those views. In this and many other areas, careful empirical research has resolved many disputes. Our profession has come a long way in institutionalizing empirical approaches to resolving empirical disputes. The enterprise requires data, and what I will discuss is some of the history of the role of the Federal Reserve Bank of St. Louis in providing the data.

Before proceeding, I want to emphasize that the views I express here are mine and do not necessarily reflect official positions of the Federal Reserve System. I thank my colleagues at the Federal Reserve Bank of St. Louis for their comments. Robert H. Rasche, senior vice president and director of research, provided special assistance. However, I retain full responsibility for errors.

Origins
The distribution of economic data by the Research department of the Federal Reserve Bank of St. Louis can be traced back at least to May 1961. At that time, Homer Jones, then director of research, sent out a memo with three tables attached showing rates of change of the money supply (M1), money supply plus time deposits, and money supply plus time deposits plus short-term government securities. His memo indicated that he “would be glad to hear from anyone who thinks such time series have value, concerning promising applications or interpretations.” Recollections of department employees from that time were that the mailing list was about 100 addressees.

Apparently Homer received significant positive feedback, since various statistical releases emerged from this initial effort. Among these were Weekly Financial Data, subsequently U.S. Financial Data; Bank Reserves and Money, subsequently Monetary Trends; National Economic Trends (1967) and International Economic Trends (1978), all of which continue to this date. In April 1989, before a subscription price was imposed, the circulation of U.S. Financial Data had reached almost 45,000. A Business Week article published in 1967 commented about Homer that “while most leading monetary economists don’t buy his theories, they eagerly subscribe to his numbers.”(1) As an aside, as a Chicago Ph.D. I both bought the theories and subscribed to the data publications. By the late 1980s, according to Beryl Sprinkel, a prominent business economist of the time, “weekly and monthly publications of the Research Department, which have now become standard references for everyone from undergraduates to White House officials, were initially Homer’s products.”(2)

Why should a central bank distribute data as a public service? Legend has it that Homer Jones viewed as an important part of his mission to provide the general public with timely information about the stance of monetary policy. In this sense he was an early proponent, perhaps the earliest proponent, of central bank accountability and transparency. While Homer was a dedicated monetarist, and data on monetary aggregates have always figured prominently in St. Louis Fed data publications, data on other variables prominent in the monetary policy debates at the time, including short-term interest rates, excess reserves and borrowings, were included in the data releases.

Early on, the various St. Louis Fed data publications incorporated “growth triangles,” which tracked growth rates of monetary aggregates over varying horizons. Accompanying graphs of the aggregates included broken trend lines that illustrated rises and falls in growth rates. This information featured prominently in monetarist critiques of “stop-go” and procyclical characteristics of monetary policy during the Great Inflation period.

Does the tradition of data distribution initiated by Homer Jones remain a valuable public service? I certainly believe so. But I will also note that the St. Louis Fed’s data resources are widely used within the Federal Reserve System. This information is required for Fed research and policy analysis; the extra cost of making the information available also to the general public is modest.

Rational Expectations Macroeconomic Equilibrium
The case for making data readily available is simple. Most macroeconomists today adhere to a model based on the idea of a rational expectations equilibrium. Policymakers are assumed to have a set of goals, a conception of how the economy works and information about the current state and history of the economy. The private sector understands, to the extent possible, policymakers’ views, and has access to the same information about the state and history of the economy as policymakers have.

An equilibrium requires a situation in which the private sector has a clear understanding of policy goals and the policymakers’ model of the economy, and the policy model of the economy is as accurate as economic science permits. Based on this understanding, market behavior depends centrally on expectations concerning monetary policy and the effects of monetary policy on the economy, including effects on inflation, employment and financial stability. If the policymakers and private market participants do not have views that converge, no stable equilibrium is possible because expectations as to the behavior of others will be constantly changing.

The economy evolves in response to stochastic disturbances of all sorts. The continuous flow of new information includes everything that happens—weather disturbances, technological developments, routine economic data reports and the like. The core of my policy model is that market responses and policy responses to new information are both maximizing—households maximize utility, firms maximize profits and policymakers maximize their policy welfare function.

A critical assumption in this model is the symmetry of the information that is available to both policymakers and private market participants. In cases where the policymakers have an informational advantage over market participants, policy likely will not unfold in the way that markets expect, and the equilibrium that I have characterized here will not emerge. Hence public access to current information on the economy at low cost is a prerequisite to good policy outcomes.

The Evolution of St. Louis Fed Data Services
Data services provided by the Federal Reserve Bank of St. Louis have evolved significantly from the paper publications initiated by Homer Jones. The initial phase of this evolution began in April 1991 when FRED, Federal Reserve Economic Data, was introduced as a dial-up electronic bulletin board. This service was not necessarily low cost. For users in the St. Louis area, access was available through a local phone call. For everyone else, long-distance phone charges were incurred. Nevertheless, within the first month of service, usage was recorded from places as wide ranging as Taipei, London, England and Vancouver, Canada.(3) FRED was relatively small scale. The initial implementation included only the data published in U.S. Financial Data and a few other time series. Subsequently it was expanded to include the data published in Monetary Trends, National Economic Trends and International Economic Trends. At the end of 1995, the print versions of these four statistical publications contained short histories on approximately 200 national and international variables; initially FRED was of comparable scope.

The next step occurred in 1996 when FRED migrated to the World Wide Web. At that point, 403 national time series became available instantaneously to anyone who had a personal computer with a Web browser. An additional 70 series for the Eighth Federal District were also available. The data series were in text format and had to be copied and pasted into the user’s PC. In July 2002, FRED became a true database and the user was offered a wider range of options. Data can be downloaded in either text or Excel format. Shortly thereafter user accounts were introduced so that multiple data series can be downloaded into a single Excel workbook, and data lists can be stored for repeated downloads of updated information. In the first six months after this version of FRED was released, 3.8 million hits were recorded to the website. In a recent six-month period, FRED received 21 million hits from over 109 countries around the world. FRED currently contains 1175 national time series and 1881 regional series. FRED data are updated on a real-time basis as information is released from various statistical agencies.

After 45 years, Homer Jones’s modest initiative to distribute data on three variables has developed into a broad-based data resource on the U.S. economy that is available at the click of a mouse around the globe. Through this resource, researchers, students, market participants and the general public can reach informed decisions based on information that is comparable to the information policymakers have.

In the past year we have introduced a number of additional data services. One of these, ALFRED, adds a vintage (or real-time) dimension to FRED. The ALFRED database stores revision histories of the FRED data series. Since 1996, we have maintained monthly or weekly archives of the FRED database. All the information in these archives has been populated to the ALFRED database, and the user can access point-in-time revisions of these data.(4) We have also extended the revision histories of many series back in time using data that were recorded in U.S. Financial Data, Monetary Trends and National Economic Trends. For selected quarterly National Income and Product data we have complete revision histories back to 1959 for real data and 1947 for nominal data. Revision histories are available on household and payroll employment data back to 1960. A similar history for industrial production is available back to 1927.

Preserving such information is crucial to understanding historical monetary policy. For example, Orphanides shows “that real-time policy recommendations differ considerably from those obtained with ex-post revised data. Further, estimated policy reaction functions based on ex-post revised data provide misleading descriptions of historical policy and obscure the behavior suggested by information available to the Federal Reserve in real time.”(5) Orphanides concludes that “reliance on the information actually available to policymakers in real time is essential for the analysis of monetary policy rules.”(6)

Such vintage information also is essential for analysis of conditions at subnational levels. For example, in January 2005 the BLS estimated that nonfarm employment in the St. Louis MSA had increased by 38.8 thousand between December 2003 and December 2004. This increase was widely cited as evidence that the MSA had returned to strong employment growth after four years of negative job growth. However, these data from the Current Employment Statistics (CES) were not benchmarked to more comprehensive labor market information that is available only with a lag.(7) The current estimate of nonfarm employment growth in the St. Louis MSA for this period, after several revisions, is only 11.6 thousand, less than 30 percent of the increase originally reported.

Another data initiative that we launched several years ago is FRASER – the Federal Reserve Archival System for Economic Research. The objective of this initiative is to digitize and distribute the monetary and economic record of the U.S. economy. FRASER is a repository of image files of important historical documents and serial publications. At present we have posted the entire history of The Economic Report of the President, Economic Indicators and Business Conditions Digest. We have also posted images of most issues of the Survey of Current Business from 1925 through 1990 and are working on filling in images of the remaining volumes. The collection also includes Banking and Monetary Statistics and the Annual Statistical Digests published by the Board of Governors, as well as the Business Statistics supplements to the Survey of Current Business published by the Department of Commerce. We are currently working, in a joint project with the Board of Governors, to image the entire history of the Federal Reserve Bulletin. Finally, we are posting images of historical statistical releases that we have collected in the process of extending the vintage histories in ALFRED back in time. These images should allow scholars, analysts and students of economic history to reconstruct vintage data on many series in addition to those we are maintaining on ALFRED.

Transparency, Accountability and Information Distribution
As just indicated, the scope of the archival information in FRASER extends beyond numeric data. Ready access to a wide variety of information is essential for transparency and accountability of monetary authorities and a full understanding of policy actions by the public. Since 1994 the Federal Reserve System and the FOMC have improved the scope and timeliness of information releases. I have discussed this progress in previous speeches.(8) Currently the FOMC releases a press statement at the conclusion of each scheduled meeting and three weeks later follows up with the release of minutes of the meeting. The press release and the minutes of the meetings record the vote on the policy action. The policy statement and minutes give the public a clear understanding of the action taken and insight into the rationale for the action.

Contrast the current situation with the one in 1979. At that time, actions by the Board of Governors on discount rate changes were reported promptly, but there was no press release subsequent to an FOMC policy action and FOMC meeting minutes were released with a 90-day delay. On Sept. 19, 1979, the Board of Governors voted by the narrow margin of 4-3 to approve a ½ percentage-point increase in the discount rate, with all three dissents against the increase. This information generated the public perception that the Fed officials were sharply divided and, therefore, that the Fed was not prepared to act decisively against inflation. John Berry, a knowledgeable reporter at the Washington Post, observed that “the split vote, with its clear signal that from the Fed’s own point of view interest rates are at or close to their peak for this business cycle, might forestall any more increases in market interest rates.”(9) However, the interpretation of the “clear signal” was erroneous. On that same day, the FOMC had voted 8 to 4 to raise the range for the intended funds rate to 11-1/4 to 11-3/4 percent. More importantly, three of the four dissents were in favor of a more forceful action to restrain inflation.(10) Neither the FOMC’s action, the dissents nor the rationale for the dissents were revealed to the public under the disclosure policies then in effect. The result was to destabilize markets, with commodity markets, in particular, exhibiting extreme volatility.

Conclusion
The tradition of data services was well established when I arrived in St. Louis in 1998, and I must say that I am proud that leadership in the Bank’s Research division has extended that tradition. Data are the lifeblood of empirical research in economics and of policy analysis. Our rational expectations conception of how the macroeconomy works requires that the markets and general public understand what the Fed is doing and why. Of all the things on which we spend money in the Federal Reserve, surely the return on our data services is among the highest.

 

References
1. “Maverick in the Fed System,” Business Week, November 18, 1967.

2. Beryl W. Sprinkel, “Confronting Monetary Policy Dilemmas: the Legacy of Homer Jones,” Federal Reserve Bank of St. Louis Review, March 1987, p 6.

3. “Introducing FRED,” Eighth Note, Federal Reserve Bank of St. Louis, May/June 1991, p. 1.

4. We do not maintain histories of daily data series in ALFRED. Interest rates and exchange rates appear at daily frequencies in FRED. In principal these data are not revised, though occasional recording errors are observed to slip into the initial data releases. Such reporting errors get corrected in subsequent publications, so sometimes there is a vintage dimension to one of these series.

5. A. Orphanides, “Monetary Policy Rules Based on Real-Time Data,” American Economic Review, 91(4), September 2001, pp. 964.

6. ibid.

7. H.J. Wall and C.H. Wheeler, “St. Louis Employment in 2004: A Tale of Two Surveys,” CRE8 Occasional Report No. 2005-1, February 9, 2005.

8. See for example, FOMC Transparency,

9. J. Berry, “Fed Lists Discount Rate to Peak of 11% on Close Vote,” Washington Post, September 19, 1979, p. A1.

10. See, D.E. Lindsey, A. Orphanides, and R.H. Rasche, “The Reform of October 1979: How it Happened and Why,” Federal Reserve Bank of St. Louis Reivew, 87(2), Part 2,March/April 2005, pp 195-6.

[관련키워드]

[뉴스핌 베스트 기사]

사진
최태원, 재상고…대법서 재심리 [서울=뉴스핌] 백승은 기자 = 최태원 SK그룹 회장이 노소영 아트센터 나비 관장에게 9440억원의 재산분할금을 지급하라는 서울고법 파기환송심 판결에 불복해 대법원에 재상고했다. 최 회장 측은 14일 오후 11시 59분경 법원에 상고장을 제출했다. 최 회장 측은 "최태원 회장은 여러 사정을 고려해 고심 끝에 상고장을 제출했다"며 "주주들과 그룹 경영에 대한 부정적 영향을 최소화하겠다는 자세로 향후 절차에 임하겠다"고 밝혔다. 앞서 지난달 24일 서울고법 가사1부(재판장 이상주)는 최 회장과 노 관장의 재산분할 파기환송심 선고기일을 열고 "최 회장이 노 관장에게 9440억원과 판결 확정 다음 날부터 지급일까지 연 5%의 이자를 지급하라"고 선고한 바 있다. 재산분할금 9440억원 기준 지연이자는 1년에 약 472억원이다. 한 달로 환산하면 약 39억3300만원, 하루 기준으로는 약 1억3000만원에 달한다. 민사소송법상 상고·재상고 제기 기간은 판결서가 송달된 날부터 14일이다. 이 사건의 파기환송심 판결서는 지난 1일 0시 양측에 송달됐는데, 송달 당일을 기한 계산에 포함하면 재상고 기한은 14일 오후 11시 59분까지였다. 최 회장 측의 재상고 결정에 따라 최 회장이 노 관장에게 지급해야 할 재산분할 등의 파기환송심 판결은 확정되지 않고 대법원에서 다시 심리된다. 대법원은 파기환송심이 앞서 제시한 법리와 취지를 충실하게 반영했는지, 재산분할 비율 산정 과정에 법리 오해 부분은 없는지 등에 대해 심리할 방침이다. 대법원 판단 전까지 파기환송심 판결은 확정되지 않는다. 한편 두 사람은 노 관장이 미국 시카고대 유학 중 인연을 맺고 1988년 청와대 영빈관에서 결혼해 슬하에 세 자녀를 뒀다. 다만 최 회장이 2015년 한 일간지에 혼외 자녀의 존재를 공개해 파경 사실을 알렸다. 이후 2017년 7월 이혼 조정을 신청했지만 결렬됐다. 이듬해인 2018년 노 관장을 상대로 이혼소송을 제기하자 노 관장도 이혼에 응하겠다며 2019년 12월 맞소송했다. 1심 재판부는 '최 회장이 노 관장에게 재산분할로 현금 665억원과 위자료 1억원을 지급하라'고 판단했지만 양측 모두 불복했다. 반면 2심 재판부는 최 회장이 보유한 주식회사 SK 지분도 재산분할 대상이라고 보고 재산분할 수준을 대폭 늘어난 1조3808억원으로 판단했다. 위자료 역시 크게 늘어난 20억원을 지급하라고 판결했다. 노 관장의 아버지인 노태우 전 대통령의 '300억원 비자금'이 SK그룹 성장에 상당 부분 기여한 점, 노 관장의 가사와 자녀 양육 등이 가정에 기여한 부분이 있다고 본 결과다. 지난해 10월 대법원은 위자료 20억원은 확정했지만, 재산분할은 파기환송하고 서울고법에 돌려보냈다. 노 전 대통령의 비자금은 불법 자금이라 노 관장의 기여로 평가할 수 없다고 봤다. 파기환송심 재판부도 이런 판단을 유지했다. 100wins@newspim.com 2026-08-15 00:04
사진
美 AI 기업들, 사용료 파격 인하 [서울=뉴스핌] 최원진 기자= 오픈AI, 앤스로픽 등 미국의 선도적 인공지능(AI) 기업들이 가격 경쟁력을 앞세운 중국산 AI 모델의 추격을 저지하기 위해 잇따라 대규모 가격 인하에 나섰다. 파이낸셜타임스(FT)는 14일(현지시간)  데이터 분석 업체 실리콘 데이터(Silicon Data)의 토큰 가격 지수를 인용해, 7월 중순 이후 미국 주요 AI 기업들이 고객에게 부과하는 모델 이용 가격이 25% 가까이 급락했다고 보도했다. 이 같은 '가격 전쟁'은 문샷, 딥시크 등 중국 AI 개발사들이 저렴하고 성능이 뛰어난 모델을 앞세워 실리콘밸리부터 유럽에 이르기까지 시장 점유율을 빠르게 확대하는 가운데 발생했다. 클로드 페이블 로고 [사진=블룸버그] 최근 오픈AI는 자사 모델 중 "가장 빠르고 경제적인" 'GPT-5.6 루나(Luna)'의 이용 가격을 80% 전격 인하했다. 입력 토큰당 가격은 100만 개당 1달러에서 0.20달러로, 출력 토큰은 6달러에서 1.20달러로 크게 낮췄다. 앤스로픽 역시 최상위 모델인 '페이블(Fable) 5'의 절반 가격에 이용할 수 있는 '클로드 오퍼스(Opus) 5'를 출시했다. 입력 100만 토큰당 5달러, 출력 25달러 수준이다. 앤스로픽은 당초 오는 9월 예정됐던 '소넷 (Sonnet) 5' 모델의 가격 인상 계획도 철회했다. 미국 빅테크의 이 같은 행보는 최고 성능 중심의 독점형(proprietary) AI 경쟁에서 '가격 대 성능비' 중심의 시장 방어로 전략이 수정되고 있음을 보여준다. 특히 오픈AI와 앤스로픽이 기업 고객의 요금제를 기존 '정액제'에서 실제 컴퓨팅 자원 소비량에 따라 부과하는 '사용량 기반 요금제'로 전환하면서 기업들의 AI 비용 부담이 급증한 점이 원인이 됐다. 이에 도어대시, 에어비앤비 등 주요 기업들은 AI 지출 한도를 설정하거나, 비용 절감을 위해 오픈소스로 공개된 중국산 AI 모델을 적극 도입하기 시작했다. 중국산 오픈 모델들은 자유롭게 다운로드해 수정할 수 있어 비용 효율성이 높다. 시장에서는 조 단위 달러 가치로 기업공개(IPO)를 준비 중인 미국 AI 기업들이 천문학적인 투자 비용 대비 수익성을 증명해야 하는 상황에서, 고객 이탈을 막기 위해 수익성 악화를 감수하고 가격을 내린 것으로 보고 있다. 웹 호스팅 제공업체 호스팅어(Hostinger)의 만타스 루카우스카스 AI 기술 책임자는 "미국 AI 기업들이 최상위 프리미엄 모델의 가격은 유지한 채, 허리가 되는 중급 모델의 가격을 낮춰 시장을 방어하고 있다"며 이번 가격 변동은 미 빅테크들이 자사의 가장 선도적인 모델 가격을 지켜낼 수 있는지 시험하는 "첫 번째 진짜 시험대"라고 분석했다. wonjc6@newspim.com 2026-08-14 14:27
기사 번역
결과물 출력을 준비하고 있어요.
종목 추적기

S&P 500 기업 중 기사 내용이 영향을 줄 종목 추적

결과물 출력을 준비하고 있어요.

긍정 영향 종목

  • Lockheed Martin Corp. Industrials
    우크라이나 안보 지원 강화 기대감으로 방산 수요 증가 직접적. 미·러 긴장 완화 불확실성 속에서도 방위산업 매출 안정성 강화 예상됨.

부정 영향 종목

  • Caterpillar Inc. Industrials
    우크라이나 전쟁 장기화 시 건설 및 중장비 수요 불확실성 직접적. 글로벌 인프라 투자 지연으로 매출 성장 둔화 가능성 있음.
이 내용에 포함된 데이터와 의견은 뉴스핌 AI가 분석한 결과입니다. 정보 제공 목적으로만 작성되었으며, 특정 종목 매매를 권유하지 않습니다. 투자 판단 및 결과에 대한 책임은 투자자 본인에게 있습니다. 주식 투자는 원금 손실 가능성이 있으므로, 투자 전 충분한 조사와 전문가 상담을 권장합니다.
안다쇼핑
Top으로 이동