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Elena Bobeica
Economics
- Division
Prices & Costs
- Current Position
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Senior Economist
- Fields of interest
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Other Special Topics
- 1 August 2024
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 5, 2024Details
- Abstract
- Available surveys of selling price expectations of firms for the euro area point to price dynamics that have substantially moderated after the recent large inflationary shock, albeit with a more sluggish adjustment for services than for goods. This box focuses on services and investigates the leading indicator properties of the forward-looking survey data provided by the European Commission. These data tend to anticipate notable turning points in services inflation. In addition, in a forecasting exercise, we find that their leading properties manifest in a non-linear way and are particularly useful in unusual times, such as during the recent inflation spike.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
- 19 March 2024
- RESEARCH BULLETIN - No. 117Details
- Abstract
- The pandemic's disruption of global supply chains and the spike in natural gas prices following Russia’s invasion of Ukraine were significant drivers of surging inflation. Traditional inflation models often ignore such supply-side shocks, even though they can have a significant and persistent impact on core inflation in the euro area (as measured by rates of change in the Harmonised Index of Consumer Prices excluding the energy and food components). In response, we propose a new model that takes these and other factors into account, particularly as future inflation dynamics could be shaped by the impact of geopolitical tensions on supply chains and the role of gas in the green transition.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C38 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Classification Methods, Cluster Analysis, Principal Components, Factor Models
- 16 November 2023
- WORKING PAPER SERIES - No. 2875Details
- Abstract
- We propose a framework to identify a rich set of structural drivers of inflation in order to understand the role of the multiple and concomitant sources of the post-pandemic inflation surge. We specify a medium-sized structural Bayesian VAR on a comprehensive set of variables for the euro area economy. We analyse in particular various types of supply shocks, some of which were not considered relevant before the pandemic, notably global supply chain shocks and gas price shocks. The residuals of the VAR are assumed to admit a factor structure and the shocks are identified via zero and sign restrictions on factor loadings. The framework can deal with ragged-edge data and extreme observations. Shocks linked to global supply chains and to gas prices have exhibited a much larger influence than in the past. Overall, supply shocks can explain the bulk of the post-pandemic inflation surge, also for core inflation. Being able to gauge the impact of such shocks is useful for policy making. We show that a counterfactual core inflation measure net of energy and global supply chain shocks has been more stable after the pandemic.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C38 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Classification Methods, Cluster Analysis, Principal Components, Factor Models
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
- 8 November 2023
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 7, 2023Details
- Abstract
- This box describes recent developments in housing rents in the euro area, also comparing them with developments in the United States. In the post-COVID period, increases in euro area rents have been moderate, despite a notable pick-up since mid-2022. This stands in contrast to the United States, where rent inflation has been a key driver of the post-pandemic inflation surge. Such differences are linked not only to measurement issues, but also to structural features of the housing market and regulatory specificities. Rent regulation is more prevalent in the euro area, where such institutional features have so far acted as a brake on rent rises.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
R21 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Household Analysis→Housing Demand
R31 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Real Estate Markets, Spatial Production Analysis, and Firm Location→Housing Supply and Markets
- 4 August 2023
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 5, 2023Details
- Abstract
- This box describes some key measures of underlying inflation and reassesses their predictive power for euro area headline inflation over a medium-term horizon. It discusses recent developments in underlying inflation and implications for the inflation outlook. It examines how underlying inflation measures can be adjusted to filter out some of the recent extraordinary shocks to inflation. Lastly, it analyses goods and services inflation individually.
- JEL Code
- C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 21 September 2021
- OCCASIONAL PAPER SERIES - No. 275Details
- Abstract
- This report discusses the role of the European Union’s full employment objective in the conduct of the ECB’s monetary policy. It first reviews a range of indicators of full employment, highlights the heterogeneity of labour market outcomes within different groups in the population and across countries, and documents the flatness of the Phillips curve in the euro area. In this context, it is stressed that labour market structures and trend labour market outcomes are primarily determined by national economic policies. The report then recalls that, in many circumstances, inflation and employment move together and pursuing price stability is conducive to supporting employment. However, in response to economic shocks that give rise to a temporary trade-off between employment and inflation stabilisation, the ECB’s medium-term orientation in pursuing price stability is shown to provide flexibility to contribute to the achievement of the EU’s full employment objective. Regarding the conduct of monetary policy in a low interest rate environment, model-based simulations suggest that history-dependent policy approaches − which have been proposed to overcome lasting shortfalls of inflation due to the effective lower bound on nominal interest rates by a more persistent policy response to disinflationary shocks − can help to bring employment closer to full employment, even though their effectiveness depends on the strength of the postulated expectations channels. Finally, the importance of employment income and wealth inequality in the transmission of monetary policy strengthens the case for more persistent or forceful easing policies (in pursuit of price stability) when interest rates are constrained by their lower bound.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
- 21 September 2021
- OCCASIONAL PAPER SERIES - No. 266Details
- Abstract
- The digitalisation workstream report analyses the degree of digital adoption across the euro area and EU countries and the implications of digitalisation for measurement, productivity, labour markets and inflation, as well as more recent developments during the coronavirus (COVID-19) pandemic and their implications. Analysis of these key issues and variables is aimed at improving our understanding of the implications of digitalisation for monetary policy and its transmission. The degree of digital adoption differs across the euro area/EU, implying heterogeneous impacts, with most EU economies currently lagging behind the United States and Japan. Rising digitalisation has rendered price measurement more challenging, owing to, among other things, faster changes in products and product quality, but also new ways of price setting, e.g. dynamic or customised pricing, and services that were previously payable but are now “free”. Despite the spread of digital technologies, aggregate productivity growth has decreased in most advanced economies since the 1970s. However, it is likely that without the spread of digital technologies the productivity slowdown would have been even more pronounced, and the recent acceleration in digitalisation is likely to boost future productivity gains from digitalisation. Digitalisation has spurred greater automation, with temporary labour market disruptions, albeit unevenly across sectors. The long-run employment effects of digitalisation can be benign, but its effects on wages and labour share depend on the structure of the economy and its labour market institutions. The pandemic has accelerated the use of teleworking: roughly every third job in the euro area/EU is teleworkable, although there are differences across countries. ...
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
O57 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Comparative Studies of Countries
- 21 September 2021
- OCCASIONAL PAPER SERIES - No. 264Details
- Abstract
- This paper summarises the findings of the Eurosystem’s Expert Group on Inflation Expectations (EGIE), which was one of the 13 work streams conducting analysis that fed into the ECB’s monetary policy strategy review. The EGIE was tasked with (i) reviewing the nature and behaviour of inflation expectations, with a focus on the degree of anchoring, and (ii) exploring the role that measures of expectations can play in forecasting inflation. While it is households’ and firms’ inflation expectations that ultimately matter in the expectations channel, data limitations have meant that in practice the focus of analysis has been on surveys of professional forecasters and on market-based indicators. Regarding the anchoring of inflation expectations, this paper considers a number of metrics: the level of inflation expectations, the responsiveness of longer-term inflation expectations to shorter-term developments, and the degree of uncertainty. Different metrics can provide conflicting signals about the scale and timing of potential unanchoring, which underscores the importance of considering all of them. Overall, however, these metrics suggest that in the period since the global financial and European debt crises, longer-term inflation expectations in the euro area have become less well anchored. Regarding the role measures of inflation expectations can play in forecasting inflation, this paper finds that they are indicative for future inflationary developments. When it comes to their predictive power, both market-based and survey-based measures are found to be more accurate than statistical benchmarks, but do not systematically outperform each other. Beyond their role as standalone forecasts, inflation expectations bring forecast gains when included in forecasting models and can also inform scenario and risk analysis in projection exercises performed using structural models. ...
- JEL Code
- D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 9 August 2021
- WORKING PAPER SERIES - No. 2583Details
- Abstract
- The link between US labor cost and price inflation has weakened notably over the past three decades. In this paper we document this decline and analyse potential contributing factors. We consider four important trends that have shaped the US economy of late: (i) improved anchoring of inflation expectations; (ii) the changing constellation of shocks hitting the economy; (iii) increased trade integration and (iv) rising firm market power. We find that the improved anchoring of inflation expectations has played a particularly relevant role but also that the latter two trends offer promising avenues to understand the decline in pass-through from labor cost to price inflation. Our results also bring supportive evidence to the view taken by the FED in the context of its monetary policy strategy review that a robust job market can be sustained without causing an outbreak of inflation.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
- 26 May 2021
- WORKING PAPER SERIES - No. 2558Details
- Abstract
- We document the impact of COVID-19 on frequently employed time series models, with a focus on euro area inflation. We show that for both single equation models (Phillips curves) and Vector Autoregressions (VARs) estimated parameters change notably with the pandemic. In a VAR, allowing the errors to have a distribution with fatter tails than the Gaussian one equips the model to better deal with the COVID-19 shock. A standard Gaussian VAR can still be used for producing conditional forecasts when relevant off-model information is used. We illustrate this by conditioning on official projections for a set of variables, but also by tilting to expectations from the Survey of Professional Forecasters. For Phillips curves, averaging across many conditional forecasts in a thick modelling framework offers some hedge against parameter instability.
- JEL Code
- C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
- 19 October 2020
- STATISTICS PAPER SERIES - No. 38Details
- Abstract
- This paper details the rationale and methodology behind the construction of the Persistent and Common Component of Inflation (PCCI), a measure of underlying inflation in the euro area. The PCCI reflects the view that underlying inflation captures widespread developments across the Harmonised Index of Consumer Prices (HICP) basket and that it is the persistent component of inflation. Methodologically, it relies on a generalised dynamic factor model estimated on a large set of disaggregated HICP inflation rates for 12 euro area countries. For each individual inflation rate, we estimate a low-frequency common component, i.e. a component driven by shocks or factors that are relevant for all inflation series and capturing cycles longer than three years. The PCCI is a weighted average of these common components. It is an alternative to the typical exclusion-based measures used to gauge underlying inflation (e.g. HICP excluding food and energy), as it does not a priori exclude any HICP items. It exhibits a set of desirable properties as a measure of underlying inflation, and it is a good tracker of more lasting inflationary developments (judging by smoothness and bias). Furthermore, it is timely and signals turning points with some lead, while acting as an attractor for headline inflation.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 25 September 2020
- WORKING PAPER SERIES - No. 2471Details
- Abstract
- We find that it does, but choosing the right specification is not trivial. We unveil notable model instability, with breaks in the performance of most simple Phillips curves. Euro area inflation was particularly hard to forecast in the run-up to the EMU and after the sovereign debt crisis, when the trend and for the latter period, also the amount of slack, were harder to pin down. Yet, some specifications outperform a univariate benchmark most of the time and are thus a useful element in a forecaster's toolkit. We base these conclusions on an extensive forecast evaluation over 1994 - 2018, an extraordinarily long period by euro area standards. We complement the analysis using real-time data over 2005-2018. As lessons for practitioners, we find that: (i) the key type of time variation to consider is an inflation trend; (ii) a simple filter-based output gap works well overall as a measure of economic slack, but after the Great Recession it is outperformed by endogenously estimated slack or by estimates from international economic institutions; (iii) external variables do not bring forecast gains; (iv) newer generation Phillips curve models with several time-varying features are a promising avenue for forecasting, especially when density forecasts are of interest, and finally, (v) averaging over a wide range of modelling choices offers some hedge against breaks in forecast performance.
- JEL Code
- C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
- 3 September 2019
- OCCASIONAL PAPER SERIES - No. 232Details
- Abstract
- Despite notable improvements in the labour market since 2013, wage growth in the euro area was subdued and substantially overpredicted in 2013-17. This paper summarises the findings of an ESCB expert group on the reasons for low wage growth and provides comparable analyses on wage developments in the euro area as a whole and in individual EU countries. The paper finds that cyclical drivers, as captured by a standard Phillips curve, seem to explain much of the weakness in wage growth during this period, but not all of it. Going beyond the drivers included in standard Phillips curves, other factors are also found to have played a role, such as compositional effects, the possible non-linear reaction of wage growth to cyclical improvements, and structural and institutional factors. In order to increase the robustness of wage forecasts, the paper also proposes ready-to-use tools for cross-checking euro area wage growth forecasts based on wage Phillips curves. These are derived based on a comprehensive real-time forecast evaluation exercise
- JEL Code
- J30 : Labor and Demographic Economics→Wages, Compensation, and Labor Costs→General
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
- 17 June 2019
- ECONOMIC BULLETIN - ARTICLEEconomic Bulletin Issue 4, 2019Details
- Abstract
- In this article we review the evolution of euro area HICP inflation excluding energy and food since the Great Financial Crisis through the lens of the Phillips curve. This period is particularly interesting, as the euro area experienced two recessions (in 2008-2009 and 2011-2014) and a protracted episode of low inflation from 2013 onwards. We estimate a large set of Phillips curve models for the euro area and review the interpretation of inflation developments that they provide over time. We highlight both the advantages and some of the limitations of this type of analysis. We find that our models can account for much of the weakness in underlying inflation between 2013 and mid-2017, but that they cannot account for the most recent weakness in underlying inflation.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
- 4 February 2019
- WORKING PAPER SERIES - No. 2235Details
- Abstract
- This paper documents, for the first time in a systematic manner, the link between labor cost and price inflation in the euro area. Using country and sector quarterly data over the period 1985Q1-2018Q1 we find a strong link between labor cost and price inflation in the four major economies of the euro area and across the three main sectors. The dynamic interaction between prices and wages is time-varying and depends on the state of the economy and on the shocks hitting the economy. Our results show that it is more likely that labor costs are passed on to price inflation with demand shocks than with supply shocks. However, the pass-through is systematically lower in periods of low inflation as compared to periods of high inflation. These results confirm that, under circumstances of predominantly demand shocks, labor cost increases will be passed on to prices. Coming from a period of low inflation, however, this pass-through could be moderate at least until inflation stably reaches a sustained path.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
- 31 July 2017
- WORKING PAPER SERIES - No. 2090Details
- Abstract
- What drives external performance of countries? This is a recurring question in academia and policy. The factors underlying export growth are receiving great attention, as countries struggle to grow out of the crisis by increasing exports and as protectionist discourses take foot again. Despite decades of debates, it is still unclear what the drivers of external performance are and, importantly, which ones policy makers can influence. We use Bayesian Model Averaging in a panel setting to investigate the drivers of export market shares of 25 EU countries, considering a wide range of traditional indicators along with novel ones developed within the CompNet Competitiveness Research Network. We find that export market share growth is linked to different factors in the old and in the new Member States, with one exception: for both groups, competitive pressures from China have strongly affected export performance since the early 2000s. In the case of old EU Member States, investment, quality of institutions and available liquidity to firms also appear to play a role. For the new EU Member States, labour and total factor productivity are particularly important, while inward FDI matters rather than domestic investment. Price competitiveness does not seem to play a very important role in either set of countries: relative export prices do show correlation with export performance for the new Member States, but only when they are adjusted for quality. Our results point to the importance of considering the “exporting stage” of a country when discussing export-enhancing policies.
- JEL Code
- C23 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Panel Data Models, Spatio-temporal Models
C51 : Mathematical and Quantitative Methods→Econometric Modeling→Model Construction and Estimation
C55 : Mathematical and Quantitative Methods→Econometric Modeling→Modeling with Large Data Sets?
F14 : International Economics→Trade→Empirical Studies of Trade
O52 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Europe - Network
- Competitiveness Research Network
- 26 January 2017
- RESEARCH BULLETIN - No. 30Details
- Abstract
- Recent inflation “puzzles” disappear in a model that properly accounts for domestic and global factors and captures their changing importance over time. While global factors are often important, domestic factors explain much of the inflation dynamics in the recent missing inflation episode in the euro area.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
F44 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Business Cycles
- 25 January 2017
- WORKING PAPER SERIES - No. 2006Details
- Abstract
- Most euro area countries have entered an unprecedented ageing process: life expectancy continues to rise and fertility rates have declined, while retirement age in the last twenty to thirty years hardly increased. This implies an ever smaller fraction of the working age population in total population, leading to changes in consumption and saving behaviours and having an important impact on the macroeconomy. In this paper we focus on the relationship between demographic change and inflation. We find that based on a cointegrated VAR model there is a positive long-run relationship between inflation and the growth rate of working-age population as a share in total population in the euro area countries as a whole, but also in the US and Germany. We also find that this relation is mitigated by the effect of monetary policy, which we account for by including the short-term interest rate in our analysis. One caveat of the analysis could be that the empirical relationship as found does not sufficiently take into account changes in policy settings following the high inflation experiences in the 1970s. Our findings support the view that demographic trends are among the forces that shape the economic environment in which monetary policy operates. This is particularly relevant for countries, like many in Europe, that face an ageing process.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
J11 : Labor and Demographic Economics→Demographic Economics→Demographic Trends, Macroeconomic Effects, and Forecasts
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes - Network
- Task force on low inflation (LIFT)
- 25 January 2017
- WORKING PAPER SERIES - No. 2000Details
- Abstract
- In the immediate wake of the Great Recession we didn't see the disinflation that most models predicted and, subsequently, we didn't see the inflation they predicted. We show that these puzzles disappear in a Vector Autoregressive model that properly accounts for domestic and global factors. Such a model reveals, among others, that domestic factors explain much of the inflation dynamics in the 2012-2014 euro area missing inflation episode. Consequently, economists and models that excessively focused on the global nature of inflation were liable to miss the contribution of deflationary domestic shocks during this episode.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
F44 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Business Cycles - Network
- Task force on low inflation (LIFT)
- 15 July 2016
- WORKING PAPER SERIES - No. 1941Details
- Abstract
- This paper studies the importance of price and cost competitiveness for intra- and extra-euro area trade flows of euro area countries. A standard error correction framework shows that price competitiveness is a relatively more important driver of trade flows outside the euro area as compared to those within the monetary union, especially for exports, that tend to be more sensitive to relative prices than imports. We consider various measures of competitiveness and conclude that it is difficult to single out one that outperforms the others; based on an encompassing test, measures based on labour costs appear to contain relatively more information for trade flows, particularly for exports outside the euro area. The key policy implication is that to adjust competitiveness disequilibria within the monetary union, measures besides those aimed at price and cost adjustments should be pursued in the deficit countries, such as structural policies fostering non-price competitiveness.
- JEL Code
- F14 : International Economics→Trade→Empirical Studies of Trade
F15 : International Economics→Trade→Economic Integration
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics - Network
- Competitiveness Research Network
- 15 July 2015
- OCCASIONAL PAPER SERIES - No. 163Details
- Abstract
- This Compendium describes the contribution of CompNet to the improvement of the analytical framework and indicators of competitiveness. It does this by presenting a comprehensive database of novel competitiveness indicators. These are more than 80 novel indicators designed by CompNet members that capture macro, micro and cross-country dimensions, thus providing a comprehensive view of the competitive position of EU countries and their peers. A short description of each innovative indicator
- JEL Code
- F14 : International Economics→Trade→Empirical Studies of Trade
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
F60 : International Economics→Economic Impacts of Globalization→General
D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
- 7 April 2015
- WORKING PAPER SERIES - No. 1777Details
- Abstract
- The paper investigates the link between domestic demand pressure and exports by considering an error correction dynamic panel model for eleven euro area countries over the last two decades. The results suggest that there is a statistically significant substitution effect between domestic and foreign sales. Furthermore, this relationship appears to be asymmetric, as the link is much stronger when domestic demand falls than when it increases. Weakness in the domestic market translates into increased efforts to serve markets abroad, but, conversely, during times of boom, exports are not negatively affected by increasing domestic sales. This reorientation towards foreign markets was particularly important during the crisis period, and thus could represent a new adjustment channel to strong negative domestic shocks. The results have important policy implications, as this substitution effect between domestic and external markets might allow the euro area countries under stress to improve their trade outcomes with a relatively small downward pressure on domestic prices.
- JEL Code
- C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C50 : Mathematical and Quantitative Methods→Econometric Modeling→General
F10 : International Economics→Trade→General - Network
- Competitiveness Research Network