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윌리엄 풀 세인트루이스 연준총재, '거시지표' 주제 연설(원문)

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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.


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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
삼성전자·SK하이닉스 2분기 실적 주목 [서울=뉴스핌] 이정아 기자 = 이번 주(27~31일) 국내 증시는 삼성전자와 SK하이닉스의 2분기 실적 발표를 최대 변수로 맞는다. 양사의 실적과 하반기 전망은 국내 반도체 업황은 물론 인공지능(AI) 투자 기대감의 지속 여부를 가늠할 핵심 지표가 될 전망이다. 같은 기간 마이크로소프트와 메타, 애플, 아마존 등 미국 빅테크 기업들도 잇따라 성적표를 공개하는 가운데 미국 연방공개시장위원회(FOMC) 결과까지 예정돼 있어 글로벌 증시의 분수령이 될 것으로 보인다. 27일 금융투자업계에 따르면, 지난주(7월 20~24일) 국내 증시는 코스피가 4.1% 상승했지만, 코스닥은 0.2% 하락하며 차별화된 흐름을 나타냈다. 이달 들어 이어진 지수 급락은 반도체 업황 악화보다 높아진 시장 기대치와 주도주 디레버리징, 단일종목 레버리지 ETF의 리밸런싱 매물이 겹친 영향이 컸다는 분석이다. 이후 외국인 저가 매수세가 유입되고 알파벳 실적이 호조를 보이면서 투자심리가 회복돼 지수는 반등에 성공했다. 시장에서는 이번 주 삼성전자와 SK하이닉스를 비롯한 국내외 주요 기업들의 실적과 FOMC 결과를 확인한 뒤 투자심리가 결정될 것으로 보고 있다. 국내에서는 반도체 대장주의 성적표가 공개된다. SK하이닉스는 29일, 삼성전자는 30일 2분기 실적을 발표한다. 삼성전자와 SK하이닉스 실적 자체보다 고대역폭메모리(HBM) 수요와 AI 서버 투자 확대가 실적에 얼마나 반영됐는지, 하반기 메모리 업황과 실적 가이던스가 어떻게 제시될지에 이목이 집중되고 있다. 이재원 유안타증권 연구원은 "가장 모멘텀이 강한 반도체 업종의 낙폭이 컸던 만큼 단기적으로는 반도체가 주도주 역할을 하고 이후 다른 업종으로 순환매가 이어질 가능성이 있다"고며 "국내 기업들의 실적 모멘텀은 여전히 견조하다"고 진단했다. 미국 빅테크 실적도 AI 랠리의 지속 여부를 판가름할 핵심 변수다. 29일에는 마이크로소프트와 메타가, 30일에는 애플과 아마존이 2분기 실적을 발표한다. 시장은 클라우드 사업 성장세와 AI 인프라 투자, 자본지출(CAPEX) 확대 기조가 유지될지를 집중적으로 확인할 전망이다. 빅테크의 투자 확대가 이어질 경우 삼성전자와 SK하이닉스를 비롯한 국내 AI·반도체주에도 긍정적인 영향을 미칠 가능성이 크다. 30일(한국시간)에는 미국 연방준비제도(Fed)가 FOMC 결과를 발표한다. 시장에서는 기준금리 동결 가능성을 높게 보고 있지만 제롬 파월 의장의 기자회견과 향후 통화정책 방향에 대한 발언에 따라 증시 변동성이 확대될 수 있다는 전망이 나온다. 이상준 NH투자증권 연구원은 "7월 연방공개시장위원회(FOMC)에서는 기준금리 동결이 유력한 만큼 시장의 관심은 향후 통화정책 방향보다 파월 의장의 발언에 쏠릴 것"이라며 "다만 최근 미국 고용과 물가 지표가 둔화된 가운데 연준도 선제적인 정책 신호를 자제하는 기조를 유지하고 있어 FOMC 자체가 시장에 미치는 영향은 제한적일 가능성이 크다"고 분석했다. 주요 경제지표도 대거 발표된다. 국내에서는 29일 6월 소매판매지수, 31일 6월 광공업생산이 공개돼 내수와 제조업 경기 흐름을 확인할 수 있다. 미국에서는 28일 컨퍼런스보드 소비자신뢰지수, 30일 2분기 국내총생산(GDP) 속보치와 근원 개인소비지출(PCE) 물가지수, 31일 6월 PCE 물가지수와 시카고 구매관리자지수(PMI)가 발표된다. PCE는 Fed가 통화정책 결정 과정에서 가장 중요하게 보는 물가지표인 만큼 향후 금리 경로를 가늠할 핵심 변수로 꼽힌다. 이밖에 유럽에서는 30일 2분기 GDP와 6월 실업률, 31일 7월 소비자물가지수(CPI)가 발표된다. 일본은행(BOJ)도 31일 금융정책결정회의를 열고 기준금리를 결정한다. 미국 통화정책과 AI 투자 흐름이 예상 범위에서 크게 벗어나지 않는다면 반도체를 중심으로 한 상승세가 이어질 수 있다는 전망이 나온다. [서울=뉴스핌] 류기찬 기자 = 24일 오전 서울 중구 하나은행 딜링룸 전광판에 코스피 지수가 표시되고 있다. 코스피 지수는 전장 대비 96.11포인트(1.35%) 내린 7000.78에, 코스닥 지수는 12.78포인트(1.62%) 내린 777.50에 장을 시작했다. 서울외환시장에서 달러/원 환율은 9시 기준 1475.20원에 거래중이다. 2026.07.24 ryuchan0925@newspim.com plum@newspim.com 2026-07-27 06:00
사진
엔비디아, 네이버 3대주주 된다 [서울=뉴스핌] 정승원 기자 = 네이버가 엔비디아를 대상으로 약 1조4809억원 규모의 제3자배정 유상증자를 단행하며 글로벌 AI(인공지능) 인프라 협력을 본격화한다. 네이버는 27일 공시를 통해 엔비디아를 대상으로 1조4808억9999만9999원 규모의 제3자배정 유상증자를 결정했다고 밝혔다. 신주 발행가는 주당 20만4500원이며 발행 대상은 엔비디아다. 네이버는 27일 공시를 통해 엔비디아를 대상으로 1조4808억9999만9999원 규모의 제3자배정 유상증자를 결정했다고 밝혔다. 신주 발행가는 주당 20만4500원이며 발행 대상은 엔비디아다. [사진= 네이버] 네이버는 지난 6월 공시했던 '장래사업·경영계획(공정공시)'도 정정했다. 정정 공시에는 엔비디아의 지분 투자 내용을 새롭게 반영하고 양사의 협력 구조와 투자 계획을 구체화한 내용이 담겼다. 정정 공시에 따르면 엔비디아는 네이버 보통주를 대상으로 약 10억달러 규모의 제3자배정 유상증자에 참여할 예정이다. 네이버는 데이터센터 부지 확보와 구축·운영을 담당하고 엔비디아는 GPU 공급을 맡는 구조다. 기존 공시에 포함됐던 '글로벌 고객 발굴 및 매출·사업 리스크 공동 부담' 내용은 삭제됐다. 양사는 글로벌 AI 팩토리 구축 사업도 추진한다. 네이버는 2027년 상반기 55MW, 2027년 말 누적 100MW, 2028년 누적 200MW 규모의 AI 인프라를 구축한 뒤 최종적으로 기가와트(GW)급 AI 인프라를 확보한다는 계획이다. 첫 거점은 하이퍼스케일 데이터센터 '각 세종'으로, 향후 유럽과 중동 등 글로벌 지역으로 사업을 확대할 방침이다. AI 팩토리 구축에 필요한 90억달러 규모의 컴퓨팅 인프라는 글로벌 대체자산운용사 브룩필드자산운용(Brookfield Asset Management)이 프로젝트파이낸싱(PF) 방식으로 조성하는 방안이 추진된다. 네이버는 브룩필드를 12주간 독점 우선협상대상자로 선정해 협의를 진행할 예정이며, 직접 투자 규모는 아직 확정되지 않았다. 네이버는 이번 협력을 통해 글로벌 AI 인프라 수요 증가에 대응하는 신규 수익원을 확보하고 엔비디아와의 협력을 기반으로 최신 AI 컴퓨팅 인프라 확보와 추가 사업 협력 기회를 모색할 계획이다. 네이버는 데이터센터 부지 확보와 전력 인프라, 인허가, 세부 계약 조건 등에 따라 사업 일정과 투자 규모는 변경될 수 있으며 향후 중요 계약이 확정되는 경우 관련 규정에 따라 별도 공시할 예정이라고 설명했다. origin@newspim.com 2026-07-27 08:12
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