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Filippos Petroulakis

9 August 2022
WORKING PAPER SERIES - No. 2703
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Abstract
Recent research has argued that the COVID-19 shock has also brought about a reallocation shock. We examine the evidence for such an occurrence in the United States, taking a broad perspective. We first consider micro data from CPS and JOLTS; there is no noticeable uptick in occupation or sector switches, nor churn, either at the aggregate level or the cross-section, or when broken down by firms’ size. We then examine whether mismatch unemployment has risen as a result of the pandemic; using an off-the-shelf multisector search and matching model, there is little evidence for an important role for mismatch in driving the elevated unemployment rate. Finally, we employ a novel Bayesian SVAR framework with sign restrictions to identify a reallocation shock; we find that it has played a relatively minor role in explaining labor market patterns in the pandemic, at least relative to its importance in earlier episodes.
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
J63 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Turnover, Vacancies, Layoffs
21 December 2021
WORKING PAPER SERIES - No. 2632
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Abstract
Monetary policy aims at affecting corporate borrowing by influencing the marginal costs of firms, but its potency can be conditioned by the degree of market competition. We first identify conditions under which changes in marginal costs may have different effects on credit constraints and output under different competitive environment, in a simple Cournot competition setting. We then exploit changes in monetary policy to examine whether the pass-through of borrowing costs is affected by market structure. First, we use as an experiment the announcement of the ECB Outright Monetary Transactions (OMT) program in a triple-differences specification. We show that small firms (which have low market power and higher credit constraints) in "stressed" countries (which benefited more from the policy) within less concentrated sectors experienced a larger reduction in credit constraints than similar firms in more concentrated sectors. Second, we exploit continuous state-of-the-art measures of monetary policy shocks to study how market structure affects pass-through to real variables, like investment and sales growth. We find evidence that firms with more market power respond less to monetary policy shocks. These results show that the interaction of borrowing capacity and market structure matters, and that concentration may have important effects on monetary policy transmission.
JEL Code
D4 : Microeconomics→Market Structure and Pricing
E4 : Macroeconomics and Monetary Economics→Money and Interest Rates
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
L1 : Industrial Organization→Market Structure, Firm Strategy, and Market Performance
Network
Discussion papers
21 December 2021
DISCUSSION PAPER SERIES - No. 17
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Abstract
Monetary policy aims at affecting corporate borrowing by influencing the marginal costs of firms, but its potency can be conditioned by the degree of market competition. We first identify conditions under which changes in marginal costs may have different effects on credit constraints and output under different competitive environment, in a simple Cournot competition setting. We then exploit changes in monetary policy to examine whether the pass-through of borrowing costs is affected by market structure. First, we use as an experiment the announcement of the ECB Outright Monetary Transactions (OMT) program in a triple-differences specification. We show that small firms (which have low market power and higher credit constraints) in "stressed" countries (which benefited more from the policy) within less concentrated sectors experienced a larger reduction in credit constraints than similar firms in more concentrated sectors. Second, we exploit continuous state-of-the-art measures of monetary policy shocks to study how market structure affects pass-through to real variables, like investment and sales growth. We find evidence that firms with more market power respond less to monetary policy shocks. These results show that the interaction of borrowing capacity and market structure matters, and that concentration may have important effects on monetary policy transmission.
JEL Code
D4 : Microeconomics→Market Structure and Pricing
E4 : Macroeconomics and Monetary Economics→Money and Interest Rates
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
L1 : Industrial Organization→Market Structure, Firm Strategy, and Market Performance
21 September 2021
OCCASIONAL PAPER SERIES - No. 271
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Abstract
This paper analyses the implications of climate change for the conduct of monetary policy in the euro area. It first investigates macroeconomic and financial risks stemming from climate change and from policies aimed at climate mitigation and adaptation, as well as the regulatory and fiscal effects of reducing carbon emissions. In this context, it assesses the need to adapt macroeconomic models and the Eurosystem/ECB staff economic projections underlying the monetary policy decisions. It further considers the implications of climate change for the conduct of monetary policy, in particular the implications for the transmission of monetary policy, the natural rate of interest and the correct identification of shocks. Model simulations using the ECB’s New Area-Wide Model (NAWM) illustrate how the interactions of climate change, financial and fiscal fragilities could significantly restrict the ability of monetary policy to respond to standard business cycle fluctuations. The paper concludes with an analysis of a set of potential monetary policy measures to address climate risks, insofar as they are in line with the ECB’s mandate.
JEL Code
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
21 September 2021
OCCASIONAL PAPER SERIES - No. 266
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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
6 January 2021
ECONOMIC BULLETIN - ARTICLE
Economic Bulletin Issue 8, 2020
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Abstract
Digitalisation – the diffusion of digital technologies, leading to a digital economy is “virtually everywhere”. It transforms economies, making it an important issue from a central banking perspective. Some of the key effects of digitalisation relevant to monetary policy relate to output and productivity, labour markets, wages and prices. This article summarises and updates the evidence on the euro area and the EU digital economy. This article also takes a closer look at the impact of the coronavirus (COVID-19) pandemic on the digital economy, both in the short term and beyond.
JEL Code
E22 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Capital, Investment, Capacity
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
O52 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Europe
29 June 2020
OCCASIONAL PAPER SERIES - No. 244
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Abstract
Digitalisation can be viewed as a major supply/technology shock affecting macroeconomic aggregates that are important for monetary policy, such as output, productivity, investment, employment and prices. This paper takes stock of developments in the digital economy and their possible impacts across the euro area and European Union (EU) economies. It also compares how these economies fare relative to other major economies such as that of the United States. The paper concludes that: (i) there is significant country heterogeneity across the EU in terms of the adoption of digital technologies, and most EU countries are falling behind competitors, particularly the United States; (ii) digitalisation is affecting the economy through a number of channels, including productivity, employment, competition and prices; (iii) digitalisation raises productivity and lowers prices, similarly to other supply/technology shocks; (iv) this has implications for monetary policy and its transmission; and (v) structural and other policies may need to be adapted for the euro area and EU countries to fully reap the potential gains from digitalisation, while maintaining inclusiveness.
JEL Code
E22 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Capital, Investment, Capacity
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
O52 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Europe
31 October 2019
WORKING PAPER SERIES - No. 2324
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Abstract
We investigate the relationship between hours per worker and employment polarisation. Our core question is whether hours per worker follow the same polarisation patterns as previously observed for employment, measured by either heads or total hours. Using the occupational task index measures of Acemoglu and Autor (2011), we find large relative declines in hours per worker in routine manual jobs – precisely the occupations most negatively affected by employment polarisation from routine-biased technical change. We also find a lower relative decline in hours per worker for non-routine cognitive analytical jobs, which are growing through polarisation. At the same time, hours per worker declined significantly more than the trend for non-routine manual physical occupations. Instead of a polarisation pattern, we find that hours per worker have been declining more in manual jobs (routine manual and non-routine manual physical). These patterns are observed across age, gender and education groups, with few exceptions and changes in intensity. The decline in hours per worker occurred mostly within sectors. Using a wage ranking of occupations instead of occupational task indices, the decline in hours per worker is monotonically related to wages. The results are specific to the European countries and the same patterns are not found using data for the United States.
JEL Code
J23 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Demand
J24 : Labor and Demographic Economics→Demand and Supply of Labor→Human Capital, Skills, Occupational Choice, Labor Productivity
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
13 June 2019
OCCASIONAL PAPER SERIES - No. 224
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Abstract
Well-functioning economic structures are key for resilient and prospering euro area economies. The global financial and sovereign debt crises exposed the limited resilience of the euro area’s economic structures. Economic growth was masking underlying weaknesses in several euro area countries. With the inception of the crises, significant efforts have been undertaken by Member States individually and collectively to strengthen resilience of economic structures and the smooth functioning of the euro area. National fiscal policies were consolidated to keep the increase in government debt contained and structural reform momentum increased notably in the second decade, particularly in those countries most hit by the crisis. The strengthened national economic structures were supported by a reformed EU crisis and economic governance framework. However, overall economic structures in euro area countries are still not fully commensurate with the requirements of a monetary union. Moreover, remaining challenges, such as population ageing, low productivity and the implications of digitalisation, will need to be addressed to increase economic resilience and long-term growth.
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
E60 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→General
E62 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Fiscal Policy
F10 : International Economics→Trade→General
J11 : Labor and Demographic Economics→Demographic Economics→Demographic Trends, Macroeconomic Effects, and Forecasts
O43 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Institutions and Growth
25 March 2019
WORKING PAPER SERIES - No. 2253
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Abstract
We examine the degree of market power in the big four countries of the euro area using macro and firm-micro data. We focus on three main indicators of market power in and across countries: namely, the concentration ratios, the markup and the degree of economic dynamism. For the macro database we use the sectoral data of KLEMs and for the micro data we use a combination of Orbis and iBACH (dating from 2006 onwards). We find that, in contrast to the situation in the US, market power metrics have been relatively stable over recent years and – in terms of the markup specifically – marginally trending down since the late 1990s, driven largely by Manufacturing. In terms of the debate as to the merits of market concentration, we find (relying on results for Manufacturing) that firms in sectors which exhibit high concentration, but are categorized as ‘high tech’ users, generally have higher TFP growth rates. By contrast, markups tend to display a bi-modal distribution when looked at through the lens of high concentration and high tech usage. These results would tend to confirm that the rise in market power documented for other economies is not obviously a euro area phenomenon and that welfare and policy analysis of market concentration is inevitably complex.
JEL Code
D2 : Microeconomics→Production and Organizations
D4 : Microeconomics→Market Structure and Pricing
N1 : Economic History→Macroeconomics and Monetary Economics, Industrial Structure, Growth, Fluctuations
O3 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights
Network
Discussion papers
25 March 2019
DISCUSSION PAPER SERIES - No. 8
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Abstract
We examine the degree of market power in the big four countries of the euro area using macro and firm-micro data. We focus on three main indicators of market power in and across countries: namely, the concentration ratios, the markup and the degree of economic dynamism. For the macro database we use the sectoral data of KLEMs and for the micro data we use a combination of Orbis and iBACH (dating from 2006 onwards). We find that, in contrast to the situation in the US, market power metrics have been relatively stable over recent years and – in terms of the markup specifically – marginally trending down since the late 1990s, driven largely by Manufacturing. In terms of the debate as to the merits of market concentration, we find (relying on results for Manufacturing) that firms in sectors which exhibit high concentration, but are categorized as ‘high tech’ users, generally have higher TFP growth rates. By contrast, markups tend to display a bi-modal distribution when looked at through the lens of high concentration and high tech usage. These results would tend to confirm that the rise in market power documented for other economies is not obviously a euro area phenomenon and that welfare and policy analysis of market concentration is inevitably complex.
JEL Code
D2 : Microeconomics→Production and Organizations
D4 : Microeconomics→Market Structure and Pricing
N1 : Economic History→Macroeconomics and Monetary Economics, Industrial Structure, Growth, Fluctuations
O3 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights
14 February 2019
WORKING PAPER SERIES - No. 2240
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Abstract
This paper explores the connection between ”zombie” firms (firms that would typically exit in a competitive market) and bank health and the consequences for aggregate productivity in 11 European countries. Controlling for cyclical effects, the results show that zombie firms are more likely to be connected to weak banks, suggesting that the zombie firm problem in Europe may at least partly stem from bank forbearance. The increasing survival of zombie firms congests markets and constrains the growth of more productive firms, to the detriment of aggregate productivity growth. Our results suggest that around one-third of the impact of zombie congestion on capital misallocation can be directly attributed to bank health and additional analysis suggests that this may partly be due to reduced availability of credit to healthy firms. Finally, improvements in bank health are more likely to be associated with a reduction in the prevalence of zombie firms in countries where insolvency regimes do not unduly inhibit corporate restructuring. Thus, leveraging the important complementarities between bank strengthening efforts and insolvency regime reform would contribute to breaking the shackles on potential growth in Europe.
JEL Code
D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
L25 : Industrial Organization→Firm Objectives, Organization, and Behavior→Firm Performance: Size, Diversification, and Scope
O47 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Measurement of Economic Growth, Aggregate Productivity, Cross-Country Output Convergence
14 November 2017
OCCASIONAL PAPER SERIES - No. 200
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Abstract
Since 2008, excess liquidity – defined as the sum of holdings of central bank reserves in excess of reserve requirements and holdings of equivalent central bank deposits – has tended to accumulate in specific euro area countries and in a small, slowly changing group of credit institutions. Despite the stability of the concentration of excess liquidity in specific countries over time, the relevance of individual drivers has changed. First, risk aversion has played a much smaller role in explaining the concentration since 2013 than it did at the time of “flight-to-quality” phenomena in the period 2010-12. Second, the location of the relevant market infrastructures (i.e. central securities depositories, securities settlement systems and TARGET2 accounts) used by counterparties that sold assets to the Eurosystem has been a more important driver directing flows in the period 2015-16. In addition, the more recent concentration of excess liquidity is explained by the combination of a number of factors, such as banks following strict internal credit limits, investment incentives created by yield differences across the euro area and the “home bias” in euro area government bond holdings. Overall, the net cross-border flows of liquidity that resulted also determined TARGET2 balances. At the individual bank level, when controlling for banks’ capital, non-performing loans, credit risk and profitability, excess liquidity holdings in relation to total assets are found to be higher for smaller and better-capitalised banks, and for banking groups with liquidity centralised at the head institution. In addition, participation in Eurosystem longer-term refinancing operations and deposit inflows are associated with liquidity accumulation. Finally, new regulatory initiatives such as the liquidity coverage ratio are explained to be creating incentives to hold or not to distribute liquidity, thereby affecting its distribution.
JEL Code
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E50 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→General
G01 : Financial Economics→General→Financial Crises
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
D39 : Microeconomics→Distribution→Other
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
28 April 2017
WORKING PAPER SERIES - No. 2049
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Abstract
This paper studies export adjustment to negative shocks in currency unions. I consider the hitherto ignored role of trade costs and taxes in internal devaluations, which have been brought to the fore of international policy during the recent euro periphery crisis. Trade costs can limit the pass-through of internal devaluation on export prices. Using data on export prices ”on the dock”, I document that higher trade costs are associated with a lower reduction of export prices relative to domestic prices in the euro periphery. Furthermore, VAT (in theory trade neutral, but in practice much higher on tradables) hikes prevent the required shift of resources towards tradables. I show that the real exchange rate (RER) adjustment was heavily affected by indirect tax hikes, by comparing headline RER and tax-adjusted RER. I then build a standard New Keynesian small open economy model with sticky wages and prices, incorporating trade costs and indirect taxes (allowing for VAT imperfections), and show that both these frictions, but especially trade costs, can be quantitatively crucial in affecting export growth, more so than either product markups or wage rigidity. I apply the model to data for Greece, the least successful of the euro periphery fiscal devaluation programs, and show that it can account for the most salient features of the data; trade costs explain the failure to substantially raise exports, and taxes the initial small fall in exports.
JEL Code
F32 : International Economics→International Finance→Current Account Adjustment, Short-Term Capital Movements
F33 : International Economics→International Finance→International Monetary Arrangements and Institutions
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
F45 : International Economics→Macroeconomic Aspects of International Trade and Finance