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Bettina Landau

Economics

Division

Current Position

Senior Adviser

Fields of interest

Macroeconomics and Monetary Economics,Mathematical and Quantitative Methods

Email

bettina.landau@ecb.europa.eu

Education
1991-1994

Diplom in Economics, J. W. Goethe University Frankfurt

1986-1989

Diplom in Business Administration, Fachhochschule der Deutschen Bundesbank

Professional experience
2018-2020

Head of Section Money, Credit and Financial Accounts, Monetary Analysis Division, Directorate General Monetary Policy, European Central Bank

2014-2017

Adviser, Monetary Policy Strategy Division, Directorate General Monetary Policy, European Central Bank

2013

Head of Section Output, Demand and Labour Markets, Euro Area Macroeconomic Developments Division, Directorate General Economics, European Central Bank

2011-2012

Principal Economist, Monetary Policy Stance Division, Directorate General Economics, European Central Bank

2000-2010

Principal Economist, Euro Area Macroeconomic Developments, Directorate General Economics, European Central Bank

1994-2000

Economist, Deutsche Bundesbank, Directorate Economics

5 July 2023
THE ECB BLOG
Details
JEL Code
E17 : Macroeconomics and Monetary Economics→General Aggregative Models→Forecasting and Simulation: Models and Applications
E27 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Forecasting and Simulation: Models and Applications
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E47 : Macroeconomics and Monetary Economics→Money and Interest Rates→Forecasting and Simulation: Models and Applications
7 October 2021
WORKING PAPER SERIES - No. 2600
Details
Abstract
This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting inflation risks. The proposed parametric methodology bridges the empirically established benefits of TVP regressions for forecasting inflation with the ability of quantile regression to model flexibly the whole distribution of inflation. In order to make our approach accessible and empirically relevant for forecasting, we derive an efficient Gibbs sampler by transforming the state-space form of the TVP quantile regression into an equivalent high-dimensional regression form. An application of this methodology points to a good forecasting performance of quantile regressions with TVPs augmented with specific credit and money-based indicators for the prediction of the conditional distribution of inflation in the euro area, both in the short and longer run, and specifically for tail risks.
JEL Code
C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
C55 : Mathematical and Quantitative Methods→Econometric Modeling→Modeling with Large Data Sets?
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
E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
30 September 2011
OCCASIONAL PAPER SERIES - No. 128
Details
Abstract
The distributive trades sector, which is primarily accounted for by wholesale and retail trade, is not only economically important in its own right, but also relevant to monetary policy. Ultimately, it is retailers who set the actual prices of most consumer goods. They are the main interface between producers of consumer goods and consumers, with around half of private consumption accounted for by retail trade. The
JEL Code
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
16 June 2010
OCCASIONAL PAPER SERIES - No. 113
Details
Abstract
This report aims to analyse euro area energy markets and the impact of energy price changes on the macroeconomy from a monetary policy perspective. The core task of the report is to analyse the impact of energy price developments on output and consumer prices. Nevertheless, understanding the link between energy price fluctuations, inflationary pressures and the role of monetary policy in reacting to such pressure requires a deeper look at the structure of the economy. Energy prices have presented a challenge for the Eurosystem, as the volatility of the energy component of consumer prices has been high since the creation of EMU. At the same time, a look back into the past may not necessarily be very informative for gauging the likely impact of energy price changes on overall inflation in the future. For instance, the reaction of HICP inflation to energy price fluctuations seems to have been more muted during the past decade than in earlier periods such as the 1970s.
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
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
Network
Eurosystem Monetary Transmission Network
11 November 2009
WORKING PAPER SERIES - No. 1104
Details
Abstract
In this paper we analyse in a mark-up framework the pass-through of commodity price and exchange rate shocks to the main components of producer and consumer prices. Thereby we link movements in prices at the different production stages as firms set their prices as a mark-up over production costs. The empirical results reveal significant linkages between different price stages in the euro area. The overall results are roughly in line with the literature and provide insight into the effects at different stages of the production chain. Non-energy commodity prices turn out to be important determinants of euro area prices.
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
21 October 2005
WORKING PAPER SERIES - No. 535
Details
Abstract
This study investigates the pricing behaviour of firms in the euro area on the basis of surveys conducted by nine Eurosystem national central banks, covering more than 11,000 firms. The results, robust across countries, show that firms operate in monopolistically competitive markets, where prices are mostly set following markup rules and where price discrimination is common. Around one-third of firms follow mainly time-dependent pricing rules while two thirds allow for elements of state-dependence. The majority of firms take into account past and expected economic developments in their pricing decisions. Price stickiness is mainly driven by customer relationships
JEL Code
E30 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→General
D40 : Microeconomics→Market Structure and Pricing→General
Network
Eurosystem inflation persistence network
22 July 2004
WORKING PAPER SERIES - No. 374
Details
Abstract
In this paper we investigate whether the forecast of the HICP components (indirect approach) improves upon the forecast of overall HICP (direct approach) and whether the aggregation of country forecasts improves upon the forecast of the euro-area as a whole, considering the four largest euro area countries. The direct approach provides clearly better results than the indirect approach for 12 and 18 steps ahead for the overall HICP, while for shorter horizons the results are mixed. For the euro area HICP excluding unprocessed food and energy(HICPX), the indirect forecast outperforms the direct whereas the differences are only marginal for the countries. The aggregation of country forecasts does not seem to improve upon the forecast of the euro area HICP and HICPX. This result has however to be taken with caution as differences appear to be rather small and due to the limited country coverage.
JEL Code
C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
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
2019
International Cash Conference 2019, Cash in the age of payment diversity
Forecasting the Demand for Banknotes in the Euro Area
  • Bartzsch N., Gerdesmeier D., Landau B., Maddaloni G., Rocco G., Roffia, B. Rua A.
2000
Discussion Paper 04/2000 Deutsche Bundesbank
Core inflation rates: A comparison of methods based on west German data
  • Landau B.