Official Statistics and the Age of Turbulence J. Steven Landefeld May 12 th, 2008 2008 World Congress on National Accounts.

Slides:



Advertisements
Similar presentations
KLEMS and the NIPAs J. Steven Landefeld, Director World KLEMS Conference Harvard University August 20 th, 2010.
Advertisements

The Global Economy (The Art of) Monetary Policy © NYU Stern School of Business.
Institutional Framework for Economic Statistics in Decentralized System J. Steven Landefeld Director Friends of the Chair Group on Integrated Economic.
Data Collection in a Decentralized Statistical System – The U.S. Perspective Friends of the Chair Group on Integrated Economic Statistics, Work Group Meeting.
Revisions to BEA’s Estimates of GDP and GDI Dennis Fixler BEA Advisory Committee Meeting November 4 th, 2011.
Measurement of the Financial Sector: FESAC Agencies Response to the Financial Crisis J. Steven Landefeld, Director, BEA Mark E. Wallace, Census.
5 Introduction to Macroeconomics PART II CONCEPTS AND PROBLEMS IN MACROECONOMICS Introduction to Macroeconomics 5 C H A P T E R O U T L I N.
BEA Economic Areas Aligning Workforce & Economic Information Association of Public Data Users APDU 2008 Annual Meeting The Brookings Institution Washington,
GDP & Beyond: Measuring Economic Progress & Sustainability SGE Annual Conference September 21st, 2009 J. Steven Landefeld, Director.
The Importance of, and Challenges to, Incorporating Distributional Information Into Macroeconomic Data J. Steven Landefeld, Director NABE Statistics.
Money, Financial Crises, and Business Cycles Edward C. Prescott July 7, 2010.
Chapter 3 Assessing Economic Conditions. Learning Objectives  Identify the macroeconomic factors that affect business performance.  Explain how market.
Economic Indicators. Concepts  Variables that provide information about the state of the economy.  Every economic indicator has a story to tell.  Need.
Better Data for Better Decisions: Progress & Prospects J. Steven Landefeld, Director Measuring and Enhancing Services Trade Data & Information.
Copyright ©2004 Pearson Education, Inc. All rights reserved. Chapter 14 Stock Analysis and Valuation.
Integration, KLEMS and the NIPAs J. Steven Landefeld, Director World KLEMS Conference Harvard University August 20 th, 2010.
Service Sector Improvements in the National Economic Accounts J. Steven Landefeld, Director Measuring Up in a Changing Economy: A Look at New.
Issues in Compensation and Profits Kurt Kunze National Economic Accounts Data Users’ Conference October 15, 2007.
1 Report on the Income- and Product-Side Estimates of Output Growth Comments Steve Landefeld Brookings Panel on Economic Activity March 19,
Update on NIPA Projects and Plans Brent Moulton BEA Advisory Committee Washington, DC May 6, 2011.
The Role of Statistics in the United States’ Economic Future “Statistics for policymaking: Europe 2020” Eurostat March 10th, 2011 J. Steven.
U.S. Bureau of Economic Analysis Presentation to the National Association for Business Economics December 17, 2003 Overview of the 2003 Comprehensive Revision.
A “Soup to Nuts” Guide for Modernizing and Integrating the Production and Dissemination of Statistics J. Steven Landefeld, Director High-Level.
Intellectual Property & the Economy J. Steven Landefeld, Director “Intangible Assets in Corporate Reporting and National Accounts” A Policy.
Seasonal Adjustment and BEA’s Estimates of GDP and GDI Bob Kornfeld BEA Advisory Committee Meeting May 11 th, 2012.
Chapter 1 Why Study Money, Banking, and Financial Markets?
Standard 3: Understand Economic Systems EQ 3.03 Explain the Stock Market.
Chapter 1 Why Study Money, Banking, and Financial Markets?
11 Unit 1 Why Study Money, Banking, and Financial Markets?
Overview of the Bureau of Economic Analysis Regional Accounts at the BEA Robert L. Brown Calibrating the Nevada Economy: Data Tools for Assessing Our State.
Measuring U.S. Industrial Production During a Downturn in Economic Activity Prepared for the: OECD Short-term Economic Statistics Expert Group September.
The Importance of Accurate & Integrated Measures of Property Prices J. Steven Landefeld, Director February 23 rd, st Session of the.
© 2008 Prentice Hall Business Publishing Economics R. Glenn Hubbard, Anthony Patrick O’Brien, 2e. 1 of 39 Monetary Policy Define monetary policy and describe.
NIPA – Flow of Funds Accounts Integration BEA Government Statistics Users Conference Charlotte Anne Bond Special Studies Branch September 14, 2006.
1 of 23 © 2014 Pearson Education, Inc. C H A P T E R O U T L I N E 5 Introduction to Macroeconomics Macroeconomic Concerns Output Growth Unemployment Inflation.
Monetary Policy Challenges Posed by Asset Price Booms Stephen G. Cecchetti Rosenberg Professor of Global Finance.
GDP, the National Accounts, and Census Economic Data Brent Moulton March 15, 2007.
McGraw-Hill/Irwin Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 20 Money Growth, Money Demand, and Monetary Policy.
Overview of the Bureau of Economic Analysis Regional Accounts at the BEA Robert L. Brown Monitoring Mississippi: Data & Tools for Understanding Our State.
1 “The Future of Data Collection, Access, and Dissemination: Uses of Administrative Data and Data Matching” J. Steven Landefeld, Director Population.
Essential Standard 1.00 Understand the role of business in the global economy. 1.
State of the Economy May 27, 2008 Jose Sanchez Maria Rodarte Mandi Tom Emerson Figueroa Omar Barragan.
Chapter 1 Why Study Money, Banking, and Financial Markets?
BEA’s Regional Economic Accounts: Past Improvements and What Lies Ahead for the Regional Program Robert L. Brown Calibrating the Nevada Economy: Data and.
GDP Using the Income Approach: the U.S. Experience Brian C. Moyer International Workshop on Household Income, Consumption, and Full Accounting.
U.S. Quarterly GDP by Industry Accounts: Methods and Research Results Brian C. Moyer 13th OECD-NBS Workshop on National Accounts Haikou, China.
Conference Board’s Leading Economic Indicator Presented by: Robert Alcala Brian Truong Yingsak Vanpetch.
Cyclical Indicators for the United States Carol Moylan Third International Seminar on Early Warning and Business Cycle Indicators Moscow, Russian.
National Economic Accounts: What’s New and What’s Coming Carol E. Moylan National Economic Accounts Data Users’ Conference October 15, 2007.
Rural Outlook Conference US and Oklahoma Economic Outlook Presentation October 2015.
Organization of Economic Statistics Statistics South Africa.
The Federal Reserve In Action. What is the Fed?  Central bank of the United States  Established in 1913  Purpose is to ensure a stable economy for.
PowerPoint Presentation by Charlie Cook Copyright © 2004 South-Western. All rights reserved. Chapter 21 The Macroeconomic Environment.
Chapter 1 Why Study Money, Banking, and Financial Markets?
Why Study Money, Banking, and Financial Markets?
Chapter 1 Why Study Money, Banking, and Financial Markets?
Copyright © 2010 Pearson Education. All rights reserved. Chapter 1 Why Study Money, Banking, and Financial Markets?
Creating a Forecast Charles Steindel January 21, 2010 All views expressed are those of the author only and not necessarily those of the Federal Reserve.
Employment in Manufacturing and Monetary Policy: Cyclical and Structural Factors International Atlantic Economic Society Lisbon Conference March 17, 2016.
Why Study Money, Banking, and Financial Markets?
Why Study Money, Banking, and Financial Markets?
Why Study Money, Banking, and Financial Markets?
Statistics for policy use
Economics 330 – Money and Banking
Why Study Money, Banking, and Financial Markets?
Economics 330 – Money and Banking
Why Study Money, Banking, and Financial Markets?
© 2016 Pearson Education Ltd. All rights reserved.19-1© 2016 Pearson Education Ltd. All rights reserved.19-1 Chapter 1 Why Study Money, Banking, and Financial.
Chapter 15 Financial Instability and Economic Inequality.
Economics 330 – Money and Banking
Presentation transcript:

Official Statistics and the Age of Turbulence J. Steven Landefeld May 12 th, World Congress on National Accounts

2 National Accounts: An Essential Tool  Greenspan on the power of National Accounts:  Framework for examining interdependencies  Framework for assessing relative importance:  Macro  Industry  Regional  International

3 The Role of Official Statistics: Four Examples  Sustainable growth:  Capturing IT in trend growth in real GDP and productivity  Wage inflation?:  Measuring pensions and fringe benefits  The stock market bubble:  Irrational exuberance or mis-measured profits?  Hurricane Katrina:  Assessing the size of the problem

4 Sustainable Growth: Rising Productivity  Greenspan’s expansive policy in the 1990s based on an examination of the inconsistencies in the detailed data that suggested an increase in trend growth and MFP:  Rising compensation costs and profits accompanied by stable prices suggested increasing productivity, but it wasn’t showing up in the industry productivity statistics  Some evidence of rise in aggregate productivity (real GDP), but not entirely consistent with pattern of growth across products, especially IT outside of computers, and IT-intensive and other industries where growth was expected.

5 Sustainable Growth: Rising Productivity  Research at the Fed, BEA, and BLS suggested that trend growth and MFP were rising and that inflation was overstated  Allowed Fed “to be more accommodative to the rise in economic growth than our past experiences would have deemed prudent.” (Greenspan, 2004)  Also prompted improvements in GDP-by- industry series, work to expand quality-adjusted prices for IT products and service industries, and further improvements to PCE and other price measures.

6 Sustainable Growth: IT and Services

7 Better Measuring Unit Labor Costs  Understanding growth in labor costs  Despite a robust economy –- and some increase in hourly wages – the increase in overall NIPA compensation and unit-labor costs seemed low.  FRB (and BEA) research on pension expenses showed that unit labor costs were increasing faster than official data showed.  Provided support for Fed’s progressive tightening between mid 2004 and mid  Revised NIPA estimates of supplements to wages, compensation, and unit labor costs to better reflect rising pension expenses.

8 Irrational Exuberance or Intangibles: Stock Options  The Stock Market Bubble of  “Irrational Exuberance” exacerbated by overstated profits resulted in a bubble that was of concern to policymakers, but not easily addressed by monetary policy  BEA and FRB research on stock option expenses, produced an improved measure of profits, that hopefully will help prevent future bubbles  Widespread use of these profit measures by Wall Street  Change in U.S. law should further improve estimates

9 Irrational Exuberance or Measurement? Corporate Profits Estimates (2002 Annual Revision) vs. S&P Index (Indexed, 1995:II = 100) 0 «« Source: BEA press releases and Standard & Poor’s, Inc. DJIA Sept ,910 DJIA Oct ,048 DJIA Sept ,968

10 The NIPA’s as a Framework: Impact of Katrina  Early estimates suggested a large impact from Katrina.  Analysis of BEA’s data indicated a relatively small impact.  “While these unfortunate developments (associated with Katrina) have increased uncertainty about near-term economic economic performance, it the Committee’s view that they do not pose a more persistent threat. “  FOMC statement of 9/20/05 announcing another 25 basis point increase in the federal funds rate.

11 Table 1: Improvements in Data Related to Monetary Policy Needs:NIPAs  Income:  Improved measures of stock options and pensions, profits, compensation, and unit labor costs.  Faster incorporation of quarterly benchmark of wages and salaries, resulting in more accurate compensation estimates  Integration/Consistency:  Some differences in FRB and Statistical Agency Missions, but work is proceeding on  Integration of BEA internal industry estimates  Integration of BEA NIPA, Balance of Payments, and Tangible Wealth estimates with FRB Flow of Funds and Balance Sheet estimates  Integration of BEA-BLS output and employment estimates

12 Table 2: Improvements in Data Related to Monetary Policy Needs:NIPAs  Inflation:  Development of, and expanded use of, hedonic indexes for IT  Chain-weighted price (and output) indexes  Expanded coverage of services prices  Further improvements in banking and financial measures  Special price indexes, including market-based PCE index  Output:  Improved measures of real GDP and real GDP by industry for services and IT  More timely and more accurate input-output and GDP by industry estimates

13 Table 3: Improvements in Data Related to Monetary Policy Needs:Balance of Payments  Improved Measures of Positions:  More Frequent and Internationally Coordinated Portfolio Investment Benchmark Surveys  More effective use of publicly available information from markets in conjunction with FRB/Treasury TIC reporting system data  Expanded Coverage of Portfolio Flows  Improved coverage of short-term instruments in the measures of real GDP and real GDP by industry for services and IT  Coverage of derivatives (Long-term Capital Management Crisis)

14 Table 4: Improvements in Data Related to Monetary Policy Needs:Balance of Payments  Expanded Coverage of Banking Flows and Positions  Use of counter-party data from the BIS and various countries  Improved Measures of Currency Flows  New source data on bulk shipments  Integration/Consistency:  Integration of BEA NIPA, Balance of Payments, and Tangible Wealth estimates with Federal Reserve Board Flow of Funds and Balance Sheet estimates