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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.

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LG전자, 홈로봇 '클로이드' CES 공개 [라스베이거스=뉴스핌] 김아영 기자 = LG전자가 오는 6일(현지시간) 미국 라스베이거스에서 개막하는 세계 최대 가전·IT 전시회 CES 2026에서 홈로봇 'LG 클로이드(LG CLOiD)'를 공개한다고 4일 밝혔다. LG 클로이드는 AI 홈로봇의 역할과 가능성을 보여주는 콘셉트 제품이다. 사용자의 스케줄과 집 안 환경을 고려해 작업 우선순위를 정하고, 여러 가전을 제어하는 동시에 일부 가사도 직접 수행하며 비서 역할을 수행한다. 이번 공개는 '가사 해방을 통한 삶의 가치 제고(Zero Labor Home, Makes Quality Time)'를 지향해온 LG전자 가전 전략의 연장선이라는 것이 회사 측 설명이다. LG 클로이드가 세탁 완료된 수건을 개켜 정리하는 모습. [사진=LG전자] ◆CES서 보여주는 '제로 레이버 홈' 관람객은 CES 전시 부스에서 클로이드가 구현하는 '제로 레이버 홈' 시나리오를 볼 수 있다. 출근 준비로 바쁜 거주자를 대신해 전날 세운 식단에 맞춰 냉장고에서 우유를 꺼내고, 오븐에 크루아상을 넣어 아침 식사를 준비하는 모습 등이 연출된다. 차 키와 발표용 리모컨 등 일정에 맞는 준비물을 챙겨 전달하는 장면도 포함된다. LG 클로이드가 크루아상을 오븐에 넣으며 식사를 준비하는 모습. [사진=LG전자] 거주자가 집을 비운 동안에는 세탁물 바구니에서 옷을 꺼내 세탁기에 넣고, 세탁이 끝난 수건을 개켜 정리하는 시나리오가 제시된다. 청소로봇이 움직일 때 동선 위 장애물을 치워 청소 효율을 높이는 역할도 수행한다. 홈트레이닝 시에는 아령을 들어 올린 횟수를 세어주는 등 거주자의 일상 케어 기능도 시연한다. 이러한 동작은 상황 인식, 라이프스타일 학습, 정교한 모션 제어 능력이 결합돼 구현된다는 설명이다. ◆가사용 폼팩터·VLM·VLA로 최적화 클로이드는 머리와 두 팔이 달린 상체와 휠 기반 자율주행 하체로 구성된다. 허리 각도를 조정해 높이를 약 105cm에서 143cm까지 바꿀 수 있으며, 약 87cm 길이의 팔로 바닥이나 다소 높은 위치의 물체도 집을 수 있다. LG 클로이드가 거주자 위한 식사로 크루아상을 준비하는 모습.[사진=LG전자] 양팔은 어깨 3축(앞뒤·좌우·회전), 팔꿈치 1축, 손목 3축(앞뒤·좌우·회전) 등 총 7자유도(DoF)를 적용해 사람 팔과 유사한 움직임을 구현한다. 다섯 손가락도 개별 관절을 가져 섬세한 동작이 가능하도록 설계됐다. 하체에는 청소로봇·Q9·서빙·배송 로봇 등에서 축적한 휠 자율주행 시스템을 적용해 무게 중심을 아래에 두고, 외부 힘에도 균형을 유지하면서 상체의 정밀한 움직임을 지원한다. 이족보행보다 비용 부담이 낮다는 점도 상용화 측면의 장점으로 꼽힌다. LG 클로이드가 홈트레이닝을 돕는 모습. [사진=LG전자] 머리 부분은 이동형 AI 홈 허브 'LG Q9' 기능을 수행한다. 칩셋, 디스플레이, 스피커, 카메라, 각종 센서, 음성 기반 생성형 AI를 탑재해 언어·표정으로 사용자를 인식·응답하고, 라이프스타일과 환경을 학습해 가전 제어에 반영한다. LG전자는 자체 개발 시각언어모델(VLM)과 시각언어행동(VLA) 기술을 칩셋에 적용했다. 피지컬 AI 모델 기반으로 수만 시간 가사 작업 데이터를 학습시켜 홈로봇에 맞게 튜닝했다는 설명이다. VLM은 카메라로 들어온 시각 정보를 언어로 해석하고, 음성·텍스트 명령을 시각 정보와 연계해 이해하는 역할을 맡는다. VLA는 이렇게 통합된 시각·언어 정보를 토대로 로봇의 구체적인 행동 계획과 실행을 담당한다. 여기에 LG의 AI 홈 플랫폼 '씽큐(ThinQ)', 허브 '씽큐 온'과 연결 가전이 더해지면 서비스 범위가 넓어진다. 예를 들어 가족과 씽큐 앱에서 나눈 메뉴 대화를 기반으로 식단을 계획하고, 날씨 정보와 창문 개폐 상태를 조합해 비가 오면 창문을 닫는 등의 시나리오가 가능하다. 퇴근 시간에 맞춰 세탁·건조를 마치고 운동복과 수건을 꺼내 준비하는 연출도 제시된다. ◆로봇 액추에이터 브랜드 'LG 악시움' 첫 공개 LG전자는 홈로봇을 포함한 로봇 사업을 중장기 성장축으로 보고 조직·기술 강화에 나서고 있다. 최근 조직개편에서 HS사업본부 산하에 HS로보틱스연구소를 신설해 전사에 흩어져 있던 홈로봇 관련 역량을 모으고, 차별화 기술 확보와 제품 경쟁력 제고를 목표로 삼았다. LG 액추에이터 악시움(AXIUM) 이미지. [사진=LG전자] 이번 CES에서는 로봇용 액추에이터 브랜드 'LG 액추에이터 악시움(LG Actuator AXIUM)'도 처음 공개한다. '악시움'은 관절을 뜻하는 'Axis'와 Maximum·Premium을 결합해 고성능 액추에이터를 지향한다는 의미를 담았다. 액추에이터는 모터·드라이버·감속기를 통합한 모듈로 로봇 관절에 해당하며, 로봇 제조원가에서 비중이 큰 핵심 부품이다. 피지컬 AI 확산과 함께 성장성이 높은 후방 산업으로 평가된다. LG전자는 가전 사업을 통해 고성능 모터·부품 기술을 축적해왔다. AI DD 모터, 초고속 청소기용 모터(분당 15만rpm), 드라이버 일체형 모터 등 연간 4,000만 개 이상 모터를 자체 생산하고 있다. 회사는 이 같은 기술력이 액추에이터의 경량·소형·고효율·고토크 구현에 기반이 될 것으로 기대한다. 휴머노이드 한 대에 수십 개 액추에이터가 필요한 만큼, LG의 모듈형 설계 역량도 맞춤형 다품종 생산에 도움이 될 것으로 전망된다. ◆홈로봇 성능·폼팩터 진화 지속…축적된 로봇 기술은 가전에 확대 적용 LG전자는 집안일을 하는 데 가장 실용적인 기능과 형태를 갖춘 홈로봇을 지속 개발하는 동시에 청소로봇과 같은 '가전형 로봇(Appliance Robot)'과 사람이 가까이 가면 문이 자동으로 열리는 냉장고처럼 '로보타이즈드 가전(Robotized Appliance)' 등 축적된 로봇 기술을 가전에도 확대 적용할 계획이다. AI가전과 홈로봇에게 가사일을 맡기고, 사람은 쉬고 즐기며 가치 있는 일에만 시간을 쓰는 AI홈을 만드는 것이 목표다. 백승태 LG전자 HS사업본부장 부사장은 "인간과 교감하며 깊이 이해해 최적화된 가사 노동을 제공하는 홈로봇 'LG 클로이드'를 비롯해 '제로 레이버 홈' 비전을 향한 노력을 지속해 나갈 것"이라고 밝혔다. aykim@newspim.com 2026-01-04 10:00
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의대 정시 지원자 5년 만에 최저 [서울=뉴스핌] 정일구 기자 = 올해 의과대학 정시모집 지원자가 큰 폭으로 줄어 최근 5년 중 최저치를 기록했다. 4일 종로학원에 따르면 2026학년도 전국 39개 의대 정시모집 지원자는 7125명으로 전년대비 32.3% 감소했다. 지원자는 2022학년도 9233명, 2023학년도 844명, 2024학년도 8098명, 2025학년도 1만518명으로 집계됐다. 사진은 4일 서울 시내의 한 의과대학 모습. 2026.01.04 mironj19@newspim.com   2026-01-04 15:57
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