17th IWH-CIREQ-GW Macroeconometric Workshop: „Inequality, Micro Data and Macroeconomics”
Christoph Schult
Wirtschaft im Wandel,
No. 1,
2017
Abstract
Am 5. und 6. Dezember 2016 fand am Leibniz-Institut für Wirtschaftsforschung Halle (IWH) zum 17. Mal der IWH-CIREQ Macroeconometric Workshop statt. Die erfolgreiche Kooperation mit dem Centre inter- universitaire de recherche en economie quantitative (CIREQ) wurde in diesem Jahr um die George Washington University (GW) verstärkt. Als neuer Kooperationspartner wurde die seit Februar 2016 am IWH tätige Forschungsprofessorin Tara Sinclair, Ph.D., in diesem Jahr mit in die Auswahlkommission berufen. Der diesjährige Workshop befasste sich mit dem Thema „Inequality, Micro Data and Macroeconomics“.
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Should Forecasters Use Real-time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
Abstract
In this paper we investigate whether differences exist among forecasts using real-time or latest-available data to predict gross domestic product (GDP). We employ mixed-frequency models and real-time data to reassess the role of survey data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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Time-varying Volatility, Financial Intermediation and Monetary Policy
S. Eickmeier, N. Metiu, Esteban Prieto
IWH Discussion Papers,
No. 19,
2016
Abstract
We document that expansionary monetary policy shocks are less effective at stimulating output and investment in periods of high volatility compared to periods of low volatility, using a regime-switching vector autoregression. Exogenous policy changes are identified by adapting an external instruments approach to the non-linear model. The lower effectiveness of monetary policy can be linked to weaker responses of credit costs, suggesting a financial accelerator mechanism that is weaker in high volatility periods. To rationalize our robust empirical results, we use a macroeconomic model in which financial intermediaries endogenously choose their capital structure. In the model, the leverage choice of banks depends on the volatility of aggregate shocks. In low volatility periods, financial intermediaries lever up, which makes their balance sheets more sensitive to aggregate shocks and the financial accelerator more effective. On the contrary, in high volatility periods, banks decrease leverage, which renders the financial accelerator less effective; this in turn decreases the ability of monetary policy to improve funding conditions and credit supply, and thereby to stimulate the economy. Hence, we provide a novel explanation for the non-linear effects of monetary stimuli observed in the data, linking the effectiveness of monetary policy to the procyclicality of leverage.
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A Market-based Indicator of Currency Risk: Evidence from American Depositary Receipts
Stefan Eichler, Ingmar Roevekamp
IWH Discussion Papers,
No. 4,
2016
Abstract
We introduce a novel currency risk measure based on American Depositary Receipts(ADRs). Using a multifactor pricing model, we exploit ADR investors’ exposure to potential devaluation losses to derive an indicator of currency risk. Using weekly data for a sample of 831 ADRs located in 23 emerging markets over the 1994-2014 period, we find that a deterioration in the fiscal and current account balance, as well as higher inflation, increases currency risk. Interaction models reveal that these macroeconomic fundamentals drive currency risk, particularly in countries with managed exchange rates, low levels of foreign exchange reserves and a poor sovereign credit rating.
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EFN Report Autumn 2015: Economic Outlook for the Euro Area in 2015 and 2016
European Forecasting Network Reports,
No. 4,
2015
Abstract
For the end of this year and for 2016, chances are good that production in advanced economies will continue to expand a bit faster than at trend rates, while growth dynamics in emerging markets economies will not strengthen or even continue to decrease.
Since autumn 2014, production in the euro area expands at an annualized rate of about 1.5%. The recovery appears to be broad based, with contributions from private consumption, exports, and investment into fixed capital, although it fell back in the second quarter after a strong increase at the beginning of the year. From a regional perspective, the recovery is as well quite broad based: production is expanding in almost every country, surprisingly and according to official data, including Greece.
Structural impediments still limit the ability of the euro area economy to grow strongly: firms and, in particular, private households are only slowly reducing their heavy debt burdens.
According to our forecasts, the euro area GDP will grow by 1.6% in 2015 and by 1.9% in 2016. The high increase in the number of refugees in 2015 will, in principle, positively affect private as well as public consumption, but the effect should be below 0.1 percentage points relative to GDP.
Our inflation forecast for 2015 is 0.1%. For 2016, we expect that inflation will increase to 1.3%, which is still below the ECB’s target of 2%.
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Are there Business Cycles “beyond GDP“? Alternative Measures to GDP at Business Cycle Frequencies
Jörg Döpke, Philip Maschke
Applied Economics Quarterly,
No. 2,
2015
Abstract
We discuss properties of alternatives or complements to GDP as a measure of welfare at business cycle frequencies. Our results imply that the suggested indicators show practically no cycle at all and their methodologies can be questioned. First, data are not available at an appropriate quality and frequency. Second, the suggested time series sometimes correlate negatively with each other. Third, cross-section and quasi-panel evidence based on different samples of countries reveals no impact of the stance of the business cycle on some suggested welfare measures. Therefore, alternative welfare measures do not show an equal picture on business cycle frequencies compared to GDP-based measures.
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Linking Distress of Financial Institutions to Macrofinancial Shocks
Alexander Al-Haschimi, Stéphane Dées, Filippo di Mauro, Martina Jančoková
ECB Working Paper,
No. 1749,
2014
Abstract
This paper links granular data of financial institutions to global macroeconomic variables using an infinite-dimensional vector autoregressive (IVAR) model framework. The approach taken allows for an assessment of the two-way links between the financial system and the macroeconomy, while accounting for heterogeneity among financial institutions and the role of international linkages in the transmission of shocks. The model is estimated using macroeconomic data for 21 countries and default probability estimates for 35 euro area financial institutions. This framework is used to assess the impact of foreign macroeconomic shocks on default risks of euro area financial firms. In addition, spillover effects of firm-specific shocks are investigated. The model captures the important role of international linkages, showing that economic shocks in the US can generate a rise in the default probabilities of euro area firms that are of a significant magnitude compared to recent historical episodes such as the financial crisis. Moreover, the potential heterogeneity across financial firms.
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14th IWH-CIREQ Macroeconometric Workshop: “Forecasting and Big Data“
Katja Drechsel
Wirtschaft im Wandel,
No. 1,
2014
Abstract
Am 2. und 3. Dezember 2013 fand am IWH in Zusammenarbeit mit dem Centre interuniversitaire de recherche en économie quantitative (CIREQ), Montréal, und der Martin-Luther-Universität Halle-Wittenberg der 14. IWH-CIREQ Macroeconometric Workshop statt. Im Rahmen des Workshops stellten Wissenschaftler und Wissenschaftlerinnen europäischer Universiäten und internationaler Organisationen, wie z. B. der Europäischen Zentralbank und der Europäischen Kommission sowie der spanischen, kanadischen und japanischen Zentralbanken, ihre neuesten Forschungsergebnisse im Bereich makroökonometrischer Modellierung und Prognose unter Berücksichtigung großer und komplexer Datenbanken vor. Auch wurden weitere makroökonomische Themen wie beispielsweise die Wirkung geldpolitischer Schocks oder Wechselkurs-Volatilitäten diskutiert.
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In Search for Yield? Survey-based Evidence on Bank Risk Taking
Claudia M. Buch, S. Eickmeier, Esteban Prieto
Journal of Economic Dynamics and Control,
No. 43,
2014
Abstract
Monetary policy can have an impact on economic and financial stability through the risk taking of banks. Falling interest rates might induce investment into risky activities. This paper provides evidence on the link between monetary policy and bank risk taking. We use a factor-augmented vector autoregressive model (FAVAR) for the US for the period 1997–2008. Besides standard macroeconomic indicators, we include factors summarizing information provided in the Federal Reserve’s Survey of Terms of Business Lending (STBL). These data provide information on banks׳ new loans as well as interest rates for different loan risk categories and different banking groups. We identify a risk-taking channel of monetary policy by distinguishing responses to monetary policy shocks across different types of banks and different loan risk categories. Following an expansionary monetary policy shock, small domestic banks increase their exposure to risk. Large domestic banks do not change their risk exposure. Foreign banks take on more risk only in the mid-2000s, when interest rates were ‘too low for too long’.
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