Competitiveness ESTP Course - MIP Luxembourg 1-3 December 2015 Justyna Gniadzik, MIP TF.

Slides:



Advertisements
Similar presentations
EU KLEMS Growth and Productivity Accounts: First Launch Brussels, 15 March 2007 Bart van Ark (Groningen Growth and Development Centre, University of Groningen)
Advertisements

1 GDP OF HEALTH SERVICES – INDIAS ESTIMATION PROCEDURES Ramesh Kolli Additional Director General Ministry of Statistics & Programme Implementation.
Trade and Competitiveness at a Glance A new OECD publication Andreas Lindner28 March 2011 Task Force meeting on International Merchandise Trade, Luxembourg.
Inflation Report August 2013 Demand. Chart 2.1 Contributions to four-quarter growth in nominal GDP (a) (a)At market prices. Contributions may not sum.
MPU 2010: Figure 01. Repo rate with uncertainty bands Per cent, quarterly averages Source: The Riksbank Note. The uncertainty bands for the repo.
Eurostat Quality assurance for Consumer Prices and MIP Statistics Berthold Feldmann, Aleš Čapek Eurostat.
Measuring Macroeconomic Variables
Serdar ERKILIÇ Central Bank of the Republic of Turkey Statistics Department / Balance of Payments Division Joint NBRM & ECB Seminar on Statistics 2-5 October.
Prices in CPE The role of money and prices Private (individual) sector, collective farm market and cooperative trade Consumer goods market Black market.
Eurostat Use of statistics for economic governance and surveillance in the European Union Macroeconomic Imbalance Procedure John Verrinder Eurostat.
Economic Indicators. Concepts  Variables that provide information about the state of the economy.  Every economic indicator has a story to tell.  Need.
MACROECONOMICS BY CURTIS, IRVINE, AND BEGG SECOND CANADIAN EDITION MCGRAW-HILL RYERSON, © 2010 Chapter 4 Measuring National Economic Activity and Performance.
Calculating a Relevant TWI Richard Sullivan Reserve Bank of New Zealand.
How to Improve Export Competitiveness in Mauritius Marilyn Whan-Kan.
Mr. Sloan Riverside Brookfield High school.  2 Hours and 10 Minutes Long  Section 1-Multiple Choice ◦ 70 Minutes Long ◦ Worth 2/3 of the Score  Section.
Measuring Output and Productivity in Service- Producing Industries Barry Bosworth.
ESA 2010 transmission programme
Carmela Pascucci – Istat - Italy Meeting of the Working Party on International Trade in Goods and Trade in Services Statistics (WPTGS) Linking business.
Overview What we have seen : achievements Crisis less bad than feared What we can expect : challenges Fragile, slow and varied recovery What should be.
1 COMMENTS ON THE PAPER “China’s Measure in Real Term for Education” Ramesh Kolli Additional Director General Ministry of Statistics & Programme Implementation.
Classical Economics & Relative Prices. Classical Economics Classical economics relies on three main assumptions: Classical economics relies on three main.
Material for assessing monetary policy
Research and Innovation Research and Innovation 4.3 Innovation Headline Indicator [RESTRICTED TO ERAC MEMBERS] Clara de la Torre, Pierre Vigier, DG Research.
Inflation Report November Demand Chart 2.1 Nominal demand (a) (a) At current market prices.
Monetary Policy Update September Figure 1. Repo rate with uncertainty bands Per cent, quarterly averages Source: The Riksbank Note. The uncertainty.
Constant Price Estimates Expert Group Meeting on National Accounts Cairo May 12-14, 2009 Presentation points.
MPU September Figures Figure 1. Repo rate with uncertainty bands Per cent, quarterly averages Source: The Riksbank Note. The uncertainty.
PPR 2008: Figure 1. Repo rate with uncertainty bonds Per cent, quarterly averages Source: The Riksbank.
Assessment of Balassa-Samuelson Effect in Croatia Gorana Lukinić, Igor Ljubaj and Josip Funda.
Inflation Report November Output and supply.
Monetary Policy Update April Figure 1. Repo rate with uncertainty bands Per cent, quarterly averages Source: The Riksbank Note. The uncertainty.
Inflation Report February Demand Chart 2.1 Nominal GDP (a) (a) At current market prices.
Inflation Report November Cost and prices (a) Average earnings index excluding bonus payments. The solid lines indicate the percentage change in.
MPR 2008: Figure 1. Repo rate with uncertainty bands Per cent, quarterly averages Source: The Riksbank.
 A piece of economic data (statistic)  indicates the direction of an economy.
Lecture 9 – academic year 2013/14 Introduction to Economics Fabio Landini Main Macroeconomic Aggregates (II)
NEGOTIATIONS ON SERVICES NEGOTIATIONS ON SERVICES Commercial Diplomacy Programme &TrainForTrade.
Performance Indicators Workshop for African countries on the Implementation of International Recommendations for Distributive Trade Statistics May.
2015/2016 Introduction to Economics Augusto Ninni Main Macroeconomic Aggregates (II)
9 th Euroindicators Working Group Luxembourg, 4 th & 5 th December 2006 Eurostat - Unit D1 Key Indicators for European Policies.
Tutor2u ™ Exchange Rates A2 Economics Presentation 2005.
MIP indicators fit for purpose presentation & discussion ESTP Course Luxembourg 10 December 2014 MIP TF.
The Euro Area Crisis: Origins, Prospects and Implications for the World Economy and Global Governance Domenico Lombardi UNLV, April 3, 2013.
Eurostat Financial accounts ESTP course - MIP Luxembourg 1-3 December 2015 Sheldon Warton-Woods Eurostat C-1.
The Macroeconomic Imbalances Procedure: Quality framework and reporting ESTP course - MIP Luxembourg 1-3 December 2015 Peter Parlasca and Ivana Jablonska.
Eurostat Balance of Payments recent methodological changes (including euro banknotes) ESTP course - MIP Luxembourg 1-3 December 2015 Olaf Nowak.
Transformation – results © Libor Žídek. Economic growth in Czechoslovakia , and trend line.
Simon Compton Methodology Directorate Office for National Statistics
Macroeconomic situation. The economic downturn has been suspended Gross Domestic Product Seasonally adjusted data, 4th q of 2005 = Exports and Domestic.
METAC Workshop March 14-17, 2016 Beirut, Lebanon National Accounts Compilation Issues Session 12 : Price and volume measures.
MPU September
Taking the Nation’s Economic Pulse
1. The functioning of the financial markets is continuing to improve TED spread, basis points Note. TED spread is calculated as the difference between.
FUTURE EVOLUTION OF SHORT-TERM ECONOMIC STATISTICS
MPR July
The Balance of Payments and the Effective Exchange Rate
A Satellite Account for Research and Development for Denmark
General features of the system of the European System of Accounts (ESA 2010) THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION.
MIP Indicators: International Comparison
Quality-Adjusted Labour Input
Global Value Chains: Analytical and Policy Framework
Enhancing MIP data coverage: back-calculation and estimates of missing values ESTP Course Luxembourg 9-11 December 2014 Ferdinando Biscosi, MIP TF.
PPU December
“Post-crisis productivity: Lessons from the UK”
The Macroeconomic Imbalances Procedure - brief overview
The Macroeconomic Imbalances Procedure - brief overview
Applied Statistics to Economics: Macroeconomic and Regional Analysis
Part II Supply and use tables
General features of the system of the European System of Accounts (ESA 2010) THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION.
Productivity Productivity Erik Veldhuizen.
Presentation transcript:

Competitiveness ESTP Course - MIP Luxembourg 1-3 December 2015 Justyna Gniadzik, MIP TF

MIP Competitiveness indicators 3 headline indicators REER ULC EMS + auxiliary indicators GFCF, Net Trade Balance of energy products, REER – EA, EMS vs. advanced economies, Terms of trade, EMS in volume, Labour productivity, Nominal ULC, ULC performance vs. EA

MIP Competitiveness measures The conventional view of competitiveness is mostly restricted to prices and costs You are competitive if you can keep wage cost low Following very closely REER/HICP Monitoring aggregate developments Monitoring gross trade flows

MIP Competitiveness measures Price competitiveness and export market shares (Average annual percentage changes, pre-crisis Q3)

MIP Competitiveness measures Cost competitiveness MIP indicators: REER, ULC Labour, energy, intermediate services costs Terms of trade, REER vs. EA,… Non-cost competitiveness MIP indicators GERD, Labour productivity, … Other official statistics Rankings - WB doing business Research – TFP Developments in trade EMS Net Trade Balance of energy products Breakdowns by products, markets; different frequencies Global value chains + data sources

Real Effective Exchange Rate

Effective Exchange Rate Bilateral exchange rates do not move together, so we need some method to summarise the overall strength or weakness of a country’s currency The nominal effective exchange rate (NEER) is defined as the exchange rate of the domestic currency vis-à-vis other currencies weighted by their share in world trade Which currencies? What weights? Significance of the base year

Real Effective Exchange Rate Real effective exchange rate (REER) also takes account of price level changes between countries adjusts the NEER by the ratio of foreign to domestic inflation assess change in competitive position of a country relative to its competitors Example suppose currency of country A has depreciated over one year by 10% against currency of country B suppose inflation rate in A is 7% and in B is 2% then real depreciation (change in REER) is 10% - (7% - 2%) = 5% improvement in competitive position is 5%, not the 10% suggested by the NEER

REER definition How to compute REER? where, N stands for number of the competitor countries in the reference group w i is the overall trade weight assigned to the currency i D i and D j are the deflators for partner country i and country j e i,j is the nominal exchange rate of country i in terms of currency of country j

REER - rationale "REER often been found to be a statistically significant predictor of the incidence of economic crisis" Balassa-Samuelson effect Price and cost competitiveness Thresholds +/-5% for EA, +/-11% non EA

REER for MIP REER computed by EC – DG ECFIN: Real – deflated by HICP, ULC, GDP deflator, export prices, producer prices Effective – based on bilateral trade (42, 37, EU, EA) ER – X rates vs. USD Headline indicator 3y % change in REER vs. 42IC; HICP/CPI p.m. y-o-y Auxiliary indicators 3y % change in REER vs. EA; HICP/CPI 10y % change in ULC performance vs. EA based on REER's double export weights

REER - Data sources REERs – DG ECFIN; Price and Cost Competitiveness database Components: HICP/CPI Eurostat International Financial Statistics (IMF IFS); OECD Exchange Rates IMF IFS; ECB; ECFIN (before 1999) Unit Labor Cost indexes Eurostat Bilateral Trade IMF - Data on Trade (IMF DoT) GDP; export prices Eurostat

REER – statistical issues Bilateral exchange rates Trade basis Trade weights Choice of deflators Coverage of trading partners

REER – statistical issues and actions Total trade - Current source - IMF; and Eurostat data? community vs. national approach (quasi transit) …and why not trade in manufacturing? …or trade in services? - Domestic supply (GDP, GVA…) - Frequency of weights updates - Chain linking method

REER – statistical issues and actions Coverage of trading partners ECFIN: EA18; EU28; IC37; IC42; BIS: broad index – 61; ECB: EER-39 Exchange rates Averages of daily data; USD vs. EUR Deflators Price/cost competitiveness HICP/CPI, GDP deflators, Export prices, ULCT ULCM? PPI?

REER – economic interpretation

BE case – cost competitiveness

REER – conclusion There is no single “all purpose” REER – Difficult trade-offs such as fit vs. quality – Awareness of statistical engine is crucial

Unit Labour Cost

ULC - rationale monitors developments in cost competitiveness across EU MSs measures the average cost of labour per unit of output rise in an economy’s NULC corresponds to a rise in labour costs that exceeds the increase in labour productivity

ULC – definition (1) compensation of empl/no. of employees real GDP per person employed based on Eurostat data from National Accounts MIP indicator - percentage change over 3 years Thresholds: +9% for euro-area +12% non-euro-area ULC =

ULC – definition (2) 3 auxiliary ULC indicators:  Labour productivity – yoy % change  NULC – 10 years % change -Both based on Eurostat National Accounts  ULC based on REER for EA -Source: DG ECFIN

ULC – economic interpretation

BE case – cost competitiveness

ULC - actions Quality Adjusted Labour Index Total hours worked as input measure for analysing labour productivity changes over time is not adequate = assumes each hour worked has the same quality Combining social surveys with NA data

Export Market Shares

EMS – rationale Three competitiveness indicator: REER CPI deflated – price competitiveness Nominal ULC – cost competitiveness Export Market Shares – broader view on competitiveness; export performance that cannot be explained by price developments geographical specialisation (trade openness) sectoral specialisation product quality and composition

EMS - rationale EMS is driven by: numerator effect denominator effect +83% in multilateral trade liberalisation unilateral trade liberalisation of some emerging countries (e.g. China, India and Brazil) increased trade in services due to development of ICT

EMS – definition (1) Headline indicator 5y % change in share of total world exports p.m. y-o-y BoP data from Eurostat and IMF Threshold: -6% Auxiliary indicators 5y % change in share of Advanced Economies exports Eurostat and OECD data 1y % change in EMS in volume IMF data

EMS – economic interpretation

High tech exports

BE - Trade balance by broad category (BEC classification)

BE - Sectoral EMS; goods

EMS – statistical issues

EMS in volume – statistical issues Change of the source: IMF WEO ->Eurostat NA Improved harmonization among MSs and with other MIP indicators (EMS headline indicator; terms of trade) BE, BG, DK, NL, PT, SE: the whole series differ for 7 other countries only 1 or 2 values differ Main causes of discrepancies: Source of primary data Methodology for deriving volumes Exports of goods only Length of time series (actual data)

EMS – actions BPM6 – EMS limited coverage Global Value Chains – mapping international trade Input-output tables and gross trade Tradables / non-tradables

BE case other aspects

BE case – cost competitiveness

BE case – non-cost competitiveness

BE case – deindustrialization

Doing business

Global value chains

Breakdown of gross manufactured exports by value added (% of total, 2009) Source: OECD; TiVA

BE – competitiveness assessment MIP category 2 Imbalances, which require monitoring and policy action CSR for Restore competitiveness by ensuring, in consultation with the social partners and in accordance with national practices, that wages evolve in line with productivity

Concluding remarks Importance of assessing a broad set of factors when analysing a country’s competitiveness; For policy design - analysis has shown how crucial it is to implement structural reforms to boost competitiveness; For statistics - further enhancement of the analytical capabilities by providing an appropriate toolbox, including a broader set of indicators; How can we improve the current set-up?