This is an important debate

Similar documents
Vector Space Modeling for Aggregate and Industry Sectors in Kuwait

Stylised monetary facts

B Economic Cycle. B.1 Position within the Economic Cycle. Sources of tables and graphs: CNB, CZSO, EC, Eurostat, own calculations

UNECE Seminar on the Role of National Statistical Offices in the Production of Leading, Composite and Sentiment Indicators

Barbro Wickman-Parak: The Riksbank and monetary policy perspectives on interest rate forecasts

) ln (GDP t /Hours t ) ln (GDP deflator t ) capacity utilization t ln (Hours t

Building Confidence intervals for the Band-Pass and. Hodrick-Prescott Filters: An Application using Bootstrapping *

I n early 1996 the Bureau of Economic

The information content of composite indicators of the euro area business cycle

What world leaders should do to halt the spread of. Baldwin and Simon J. Evenett

III.2. Inventory developments in the euro area since the onset of the crisis ( 49 )

PUBLIC GOODS PROVISION IN RURAL AREA: CASE FROM ZHEJIANGPROVINCE OF CHINA. Pan Weiguang 1 1. INTRODUCTION

Are Prices Procyclical? : A Disaggregate Level Analysis *

Euro Area and US Recessions,

DETECTING AND MEASURING SHIFTS IN THE DEMAND FOR DIRECT MAIL

CONSTRUCTION INDUSTRY CAPACITY UTILISATION AND ITS IMPLICATIONS

Econometría 2: Análisis de series de Tiempo

Technological Diffusion News

BANK OF FINLAND ARTICLES ON THE ECONOMY

Economic Returns from the Beef Checkoff

THE CYCLICAL BEHAVIOR OF PRICES: EVIDENCE FROM SEVEN DEVELOPING COUNTRIES

Sawtooth Software. Learning Effects in Preference Tasks: Choice-Based Versus Standard Conjoint RESEARCH PAPER SERIES

An Experimental Index for the Business Outlook Survey: Some Preliminary Findings*

Department of Economics, University of Michigan, Ann Arbor, MI

Oil Price Rise and the Great Recession of 2008

Appendix A. The horizontal axis measures both GDP and Sales. The vertical axis measures the average price level.

Determining the agricultural output gap and its link with food price dynamics in South Africa

Labor Productivity during Recession of 2008: Basic Data, Facts, and Figures

OPINION SURVEYS ON ACTIVITY, PRICES AND LABOUR MARKET DEVELOPMENTS IN THE EURO AREA: FEATURES AND USES

This PDF is a selection from a published volume from the National Bureau of Economic Research

Working paper No. 1 Estimating the UK s historical output gap

December Abstract

Temperature impacts on economic growth warrant stringent mitigation policy

Labor Productivity during Postwar Recessions: Basic Data, Facts, and Figures

Business Quantitative Analysis [QU1] Examination Blueprint

The Riksbank s Business Survey. Industrial activity stronger than expected

An Assessment of the ISM Manufacturing Price Index for Inflation Forecasting

COORDINATING DEMAND FORECASTING AND OPERATIONAL DECISION-MAKING WITH ASYMMETRIC COSTS: THE TREND CASE

Quantitative Methods

THE STRATEGIC ROLE OF EXPORTS IN TRADE EXPANSION AND ECONOMIC GROWTH FOR ROMANIA. Cosmin DOBRIN 1 Alexandra Mirela Cristina MUNTEANU 2

Wind Power Variations are exported

Revision confidence limits for recent data on trend levels, trend growth rates and seasonally adjusted levels

STATISTICAL TECHNIQUES. Data Analysis and Modelling

Development Discussion Papers

5 CHAPTER: DATA COLLECTION AND ANALYSIS

Swiss Composite Leading Indicators: An Appraisal

Kristin Gustavson * and Ingrid Borren

Cautious Optimism. business indicator report. Update on the economic Situation and Development in Selected Sectors GRUNDFOS MACHINING INDUSTRY

Commentary: Causes of Changing Earnings Inequality

NEW ZEALAND ASSOCIATION OF ECONOMISTS CONFERENCE CHRISTCHURCH June 2007

Chapter 3. Database and Research Methodology

U.S. Trade and Inventory Dynamics

Short communication (2,500 words, including notes but excluding abstract and cover page)

Distinguish between different types of numerical data and different data collection processes.

Forecasting Cycles in the Transportation Sector

Stylized Facts of Business Cycles in the OECD Countries

THE RESPONSE OF FINANCIAL AND GOODS MARKETS TO VELOCITY INNOVATIONS: AN EMPIRICAL INVESTIGATION FOR THE US*

Towards a Usable Set of Leading Indicators for Hong Kong

House Price Cycles in Europe

Version: 1.0:07/08. abc. General Certificate of Education. Economics ECN2: The National Economy. Mark Scheme examination - June series

Beyond balanced growth: The effect of human capital on economic growth reconsidered

Chapter 9. The IS LM/AD AS Model: A General Framework for Macroeconomic Analysis. Copyright 2009 Pearson Education Canada

Chapter URL:

Forecasting Module 1. Learning Objectives. What is a time series? By Sue B. Schou Phone:

THE CONFIGURATION OF LABOR MARKET IN ALBANIA AND ITS CHALLENGES

Time Series Analysis in the Social Sciences

Reserve Bank of New Zealand Analytical Note Series 1. Analytical Notes. In search of greener pastures: improving the REINZ farm price index

Irish Business Activity Improves In First Quarter As Debt Deal Boosts Confidence

Employment comovements at the sectoral level over the business cycle

RESIDUAL FILES IN HLM OVERVIEW

Detrending and business cycle facts: A comment

Choosing the Right Type of Forecasting Model: Introduction Statistics, Econometrics, and Forecasting Concept of Forecast Accuracy: Compared to What?

Compensation: Is it time to Switch from Cost-Cutting Back to Compensation Strategy?

DEPARTMENT OF QUANTITATIVE METHODS & INFORMATION SYSTEMS

UNIT - II TIME SERIES

Modelling buyer behaviour - 2 Rate-frequency models

Consumer Confidence Surveys: Can They Help Us Forecast Consumer Spending in Real Time?

Review of PG&E Home Energy Reports Initiative Evaluation. CPUC Energy Division Prepared by DNV KEMA, Inc

charges in the Texas (ERCOT) market Draft of December 29, 2012 Jay Zarnikau *,a,b, Dan Thal a Austin, TX 78746, USA The University of Texas at Austin,

An Empirical Study of the Environmental Kuznets Curve in Sichuan Province, China

Secondary Math Margin of Error

Master Thesis A Study of Relationship between Patents and Nascent Entrepreneurial Activity

Climate Change, Crop Yields, and Implications for Food Supply in Africa

Topic 2: Displaying Quantitative Data

CHAPTER 4. Labeling Methods for Identifying Outliers

Inventory (Dis)Investment, Internal Finance Fluctuations, and the Business Cycle

Mishandling carbon and energy intensities

Paper presented at the Trade Conference, Research Department Hosted by the International Monetary Fund Washington, DC April 6, 2007

ECON Chapter 3: Business Cycle Measurement

What proportion of the items provide enough information to show that they used valid statistical methods?

Testing the Predictability of Consumption Growth: Evidence from China

Comment BERTOLA & CABALLERO

Energy Efficiency and Changes in Energy Demand Behavior

Do the Business Cycles and Financial Cycles Move Together in Turkey?

working paper department technology massachusetts of economics 50 memorial drive institute of Cambridge, mass

CHAPTER 18 USE OF COST ESTIMATING RELATIONSHIPS

Chapter 8. Business Cycles. Copyright 2009 Pearson Education Canada

Super-marketing. A Data Investigation. A note to teachers:

VALIDATION OF ANALYTICAL PROCEDURES: METHODOLOGY *)

Public Sector Pay Premium and Compensating Differentials in the New Zealand Labour Market

Transcription:

1 of 5 8/3/2009 2:46 PM Create account Login Research-based policy analysis and commentary from leading economists Andrew K. Rose 1 August 2009 Less synchronised business cycles would be good news for the world economy, allowing for more stable global growth and opportunities for risk-sharing across countries. However, is decoupling fact or fiction? This column says that, contrary to much current commentary, there is no downward trend in synchronisation. Much recent research has investigated the degree of cross-country synchronisation of business cycles, primarily from an empirical perspective. Two recent contributions are Kose, Otrok and Prasad (2008) and Wälti (2009); the former make a cautious case for decoupling, while the latter is more sceptical. This is an important debate If business cycles are becoming less synchronised over time, this decoupling is good news for the world economy, allowing for more stable global growth and opportunities for risk-sharing across countries. However, is decoupling fact or fiction? In this brief contribution, I provide a simple graphical examination of the data, following Flood and Rose (2009). This clearly reveals that business cycles have not in fact becoming less synchronised of late; that is, there is little evidence of decoupling in the data. Rather, business cycles seem to have become increasingly similar across countries. This tendency is well exemplified by the dramatic downturn in the global economy that began in 2008 and has affected essentially all economies of any size. Searching for decoupling I begin my search by casting a wide net, examining 64 countries with reliable data from 1974 through 2007. For each country, I take seasonally adjusted real GDP data from one of three different sources (the IMF s International Financial Statistics and World Economic Outlook data sets, and the OECD). Raw output is of limited interest, since the decoupling debate focuses on (the cross-country coherence of) business cycle deviations from trend. Thus it is necessary to detrend the output series. Since there is no universally accepted method, I use four different techniques to create trends. First, I use the well-known Hodrick-Prescott filter. Second, I use the more recent Baxter-King band-pass filter. Third, I construct the fourth difference, thus creating annual growth rates from quarterly data. Finally and perhaps least plausibly, I construct trends by regressing output on linear and quadratic time trends as well as quarterly dummies. Having created business cycle deviations for all our countries, I then compute measures of crosscountry coherences of business cycles. I do this by creating conventional sample Pearson correlation coefficients, as is now common practice in the literature (e.g., Baxter and Kouparitsas, 2005). The correlation coefficients are created using twenty quarterly observations (five years) of data. This statistic, computed between a pair of countries over time, constitutes the key measure of business cycle synchronisation. Note that this measure is not constrained to be constant across time for a pair of countries. Decoupling is sometimes considered to refer to the linkages between a particular developing country

2 of 5 8/3/2009 2:46 PM and a composite of industrial countries (not simple random pairs of countries). Accordingly, we construct analogous measures for the G7. Figure 1 presents a first look at the business cycle synchronisation measures. It contains time series plots of their mean values, averaged across all feasible country-pairs at a point in time. There are four graphs, corresponding to the four different detrending techniques (Hodrick-Prescott, Baxter-King, deterministic linear/quadratic regression, and growth rate). In each case, the average value of the correlation coefficient and a confidence interval of +/-2 standard deviations (of the mean) are portrayed. Figure 1. Bivariate GDP correlations The single most striking thing about the trends portrayed in Figure 1 is that there are no obvious trends. The average level of synchronisation varies some over time, but it is typically around a level of.25 or so. There is, however, no evidence that the average correlation coefficient is significantly lower (in either economic or statistical terms) towards the end of the sample. That is, there is little prima facie evidence of decoupling. If anything, there is a slight tendency for business cycles to be slightly more correlated across countries in 2007 compared to, say, 2000. Figure 1 considers bilateral measures of synchronisation; all possible pairs of countries are considered (there are over 2000). Figure 2 is an analogue that considers business cycle synchronisation between a given country and an index for the business cycle of the G7 industrial countries. In this more multilateral sense, there is still no evidence that business cycles are becoming more isolated from each other. Figure 2. GDP correlations with G7

3 of 5 8/3/2009 2:46 PM Some think of decoupling as referring to a shrinking relationship between the business cycles of industrial and developing countries. Accordingly, Figure 3 is an analogue to Figure 1 that only considers pairs of countries in which one country is industrial and the other is developing. Again, no dramatic declines in the degree of business cycle synchronisation are apparent; instead, the correlations seem to fluctuate around an approximately constant mean. The same description characterises Figure 4, which is an analogue to Figure 2 that considers only business cycle synchronisation between developing countries and the G7 aggregate. Figure 3. Bivariate GDP correlations, industrial-ldc pairs Figure 4. GDP correlations with G7, LDCs only

4 of 5 8/3/2009 2:46 PM Conclusion The current economic downturn is not only unusually severe and prolonged but also quite widespread. Essentially all industrialised countries have turned down during the past year, as have many developing countries. This synchronisation of business cycles across countries is by no means an unusual event. Indeed, contrary to much recent discussion (e.g., Economist, 2009), the world s countries seem to be moving more closely over time, not less. That is, there is little evidence of decoupling, the idea that business cycles are becoming more independent and less synchronised across countries. References Baxter, Marianne & Kouparitsas, Michael A. (2005) Determinants of business cycle comovement: a robust analysis Journal of Monetary Economics, vol. 52(1), pages 113-157, January. Economist (2009) Decoupling 2.0, 21 May 2009. Flood, Robert P. and Andrew K. Rose (2009) Inflation Targeting and Business Cycle Synchronization, CEPR Discussion Paper 7377. Kose, A., Otrok, C. and Prasad, E. (2008), Dissecting the Decoupling Debate, VoxEU.org, 4 October 2008. Wälti, Sébastien (2009) The Myth of Decoupling, VoxEU.org, 27 July 2009. This article may be reproduced with appropriate attribution. See Copyright (below). Topics: Global economy Tags: GDP, business cycles, decoupling Comments VoxEU.org

5 of 5 8/3/2009 2:46 PM Copyright Contact