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Franz Seitz

21 August 2019
WORKING PAPER SERIES - No. 2310
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Abstract
We present non-linear models to capture the turning points in global economic activity as well as in advanced and emerging economies from 1980 to 2017. We first estimate Markov Switching models within a univariate framework. These models support the relevance of three business cycle regimes (recessions, low growth and high growth) for economic activity at the global level and in advanced and emerging economies. In a second part, we find that the regimes of the Markov Switching models can be well explained with activity, survey and commodity price variables within a discrete choice framework, specifically multinomial logit models, therefore reinforcing the economic interpretation of the regimes.
JEL Code
C34 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Truncated and Censored Models, Switching Regression Models
C35 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Discrete Regression and Qualitative Choice Models, Discrete Regressors, Proportions
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
11 June 2015
WORKING PAPER SERIES - No. 1803
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Abstract
We analyse the forecasting power of different monetary aggregates and credit variables for US GDP. Special attention is paid to the influence of the recent financial market crisis. For that purpose, in the first step we use a three-variable single-equation framework with real GDP, an interest rate spread and a monetary or credit variable, in forecasting horizons of one to eight quarters. This first stage thus serves to pre-select the variables with the highest forecasting content. In a second step, we use the selected monetary and credit variables within different VAR models, and compare their forecasting properties against a benchmark VAR model with GDP and the term spread. Our findings suggest that narrow monetary aggregates, as well as different credit variables, comprise useful predictive information for economic dynamics beyond that contained in the term spread. However, this finding only holds true in a sample that includes the most recent financial crisis. Looking forward, an open question is whether this change in the relationship between money, credit, the term spread and economic activity has been the result of a permanent structural break or whether we might go back to the previous relationships.
JEL Code
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
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
15 September 2010
WORKING PAPER SERIES - No. 1238
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Abstract
In this paper we analyse household holdings of the broad monetary aggregate M3 in the euro area from 1991 until 2009. We develop four models, two in nominal, two in real terms, with satisfactory economic and statistical properties. The main determinants are a transactions variable, wealth considerations, opportunity costs and uncertainty. The models are robust to different estimation strategies, samples considered and a multitude of mis-specification tests. The exercise also provides insights that go beyond the portfolio allocation decision of households. According to our analysis, it is quite apparent that in equilibrium, households jointly determine consumption and broad money holdings both influenced by wealth as well as interest rates.
JEL Code
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
C23 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Panel Data Models, Spatio-temporal Models
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
D21 : Microeconomics→Production and Organizations→Firm Behavior: Theory
21 April 2004
WORKING PAPER SERIES - No. 330
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Abstract
The present paper analyses currency in circulation in the euro area since the beginning of the 1980s. After a comprehensive literature review on this topic we present some stylised facts on currency holdings in the euro area countries as well as at an aggregate euro area level. The next chapter develops a theoretical model, which extends traditional money demand models to also incorporate arguments for the informal economy and foreign demand for specific currencies. In the empirical sections we first estimate the demand for euro legacy currencies in total and for small and large denominations within a cointegration framework. We find significant differences between the determinants of holdings of small and large denominations as well as overall currency demand. While small-value banknotes are mainly driven by domestic transactions, the demand for large-value banknotes depends on a short-term interest rate, the exchange rate of the euro as a proxy for foreign demand and inflation variability. Large-value banknotes seem to be therefore used to an important extent as a store of value domestically and abroad. As monetary policy is mainly interested in getting information on the demand for currency used for domestic transactions we also try several approaches in this direction. All the methods applied result in rather low levels of transaction balances used within the euro area of around 25% to 35% of total currency. After this we deal with possibly changing cost-benefit-considerations of the use of cash due to the introduction of euro notes and coins. Overall, there seems no evidence so far of a substantial decline of the demand for currency in the euro area.
JEL Code
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
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
Network
Eurosystem Research Network on Cash (EURECA)
1 September 2003
WORKING PAPER SERIES - No. 254
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Abstract
This paper analyses the information content of M1 for euro area real GDP since the beginning of the 1980s and reviews theoretical arguments on why real narrow money should help predict real GDP. We find that, unlike in the U.S., in the euro area, M1 has better and more robust forecasting properties for real GDP than yield spreads. This property persists when one controls for a number of other influences. We also evaluate the out-of-sample forecasting performance of different classes of VAR models comprising real M1, GDP and other indicators, using as benchmark a simple univariate model. As a result, only VARs in first differences are able to outperform the benchmark.
JEL Code
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
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
Network
Background study for the evaluation of the ECB's monetary policy strategy
1 February 2001
WORKING PAPER SERIES - No. 44
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Abstract
This paper describes the demand and supply factors affecting the amounts of deposits held by banks with the Eurosystem in the first 18 months of Stage Three of EMU and differences to the years before. The paper starts from the methodology adopted in a recent study by James Hamilton on 'The supply and demand for Federal Reserve deposits'. While the treatment of the autonomous liquidity factors is in principle similar, the modelling of open market operations and of the recourse to standing facilities diverge. These differences stem from different institutional settings, but also from somewhat different views on the accurate model. In a second part, the paper turns to prices by providing a simple econometric model capturing a large part of the variability of the difference between the EONIA rate (the price for daily funds) and the rate charged for the main refinancing operations
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