Estimating Monetary Policy Rules when the Zero Lower Bound on Nominal Interest Rates is Approached
Konstantin Kiesel, M. H. Wolters
Kiel Working Papers, No. 1898,
2014
Abstract
Monetary policy rule parameters estimated with conventional estimation techniques can be severely biased if the estimation sample includes periods of low interest rates. Nominal interest rates cannot be negative, so that censored regression methods like Tobit estimation have to be used to achieve unbiased estimates. We use IV-Tobit regression to estimate monetary policy responses for Japan, the US and the Euro area. The estimation results show that the bias of conventional estimation methods is sizeable for the inflation response parameter, while it is very small for the output gap response and the interest rate smoothing parameter. We demonstrate how IV-Tobit estimation can be used to study how policy responses change when the zero lower bound is approached. Further, we show how one can use the IV-Tobit approach to distinguish between desired policy responses, that the central bank would implement if there was no zero lower bound, and the actual ones and provide estimates of both.
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IT Use, Productivity, and Market Power in Banking
Michael Koetter, Felix Noth
Journal of Financial Stability,
No. 4,
2013
Abstract
Information management is a core process in banking that can resolve information asymmetries and thereby help to mitigate competitive pressure. We test if the use of information technology (IT) contributes to bank output, and how IT-augmented bank productivity relates to differences in market power. Detailed bank-level information on the use of IT reveals a substantial upward bias in bank productivity estimates when ignoring banks’ IT expenditures. IT-augmented bank productivity correlates positively with Lerner markups. A mere increase in IT expenditures, however, reduces markups. Results hold across a range of bank output definitions and productivity estimation methods.
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Determinants of Foreign Technological Activity in German Regions – A Count Model Analysis of Transnational Patents (1996-2009)
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra
Abstract
This paper analyses the determinants of spatial distribution of foreign technological activity across 96 German regions (1996-2009). We identify foreign inventive activity by applying the ‘cross-border-ownership concept’ to transnational patent applications. The descriptive analysis shows that foreign technological activity more than doubled during the observation period with persistent spatial heterogeneity in Germany. Using a pooled count data model, we estimate the effect of various sources for externalities on the extent of foreign technological activity across regions. Our results show that foreign technological activity is attracted by technologically specialised sectors of regions. In contrast to existing findings this effect applies both to foreign as well as domestic sources of specialisation. We show that the relation between specialisation and foreign technological activity is non-linear and that it is influenced by sectoral heterogeneity. Externalities related to technological diversification attract foreign R&D only into ‘higher order’ regions.
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The Social Capital Legacy of Communism-results from the Berlin Wall Experiment
Peter Bönisch, Lutz Schneider
European Journal of Political Economy,
No. 32,
2013
Abstract
In this paper we establish a direct link between the communist history, the resulting structure of social capital, and attitudes toward spatial mobility. We argue that the communist regime induced a specific social capital mix that discouraged geographic mobility even after its demise. Theoretically, we integrate two branches of the social capital literature into one more comprehensive framework distinguishing an open type and a closed type of social capital. Using the German Socio-Economic Panel (GSOEP) we take advantage of the natural experiment that separated Germany into two parts after the WWII to identify the causal effect of social capital on mobility. We estimate a three equation ordered probit model and provide strong empirical evidence for our theoretical propositions.
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Determinants of Illegal Mexican Immigration into the US Southern Border States
A. Buehn, Stefan Eichler
Eastern Economic Journal,
No. 4,
2013
Abstract
We model illegal immigration across the US-Mexico border into Arizona, California, and Texas as an unobservable variable applying a Multiple Indicators Multiple Causes model. Using state-level data from 1985 to 2004, we test the incentives and deterrents influencing illegal immigration. Better labor market conditions in a US state and worse in Mexico encourage illegal immigration while more intense border enforcement deters it. Estimating the state-specific inflow of illegal Mexican immigrants we find that the 1994/95 peso crisis in Mexico led to significant increases in illegal immigration. US border enforcement policies in the 1990s provided temporary relief while post-9/11 re-enforcement has reduced illegal immigration.
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Exchange Rate Regime, Real Misalignment and Currency Crises
Oliver Holtemöller, Sushanta Mallick
Economic Modelling,
No. 34,
2013
Abstract
Based on 69 sample countries, this paper examines the effect of macroeconomic fundamentals on real effective exchange rates (REER) in these sample countries. Using the misalignment of actual REER from its equilibrium level, we have estimated the factors explaining the extent of currency over- or under-valuation. Overall, we find that the higher the flexibility of the currency regime, the lower is the misalignment. The estimates are robust to different sub-samples of countries. We then explore the impact of such misalignment on the probability of a currency crisis in the next period, indicating the extent to which misalignment could be used as a leading indicator of a potential crisis. This paper thus makes a new contribution to the debate on the choice of exchange rate regime by bringing together real exchange rate misalignment and currency crisis literature.
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Flight Patterns and Yields of European Government Bonds
Gregor von Schweinitz
IWH Discussion Papers,
No. 10,
2013
Abstract
The current European Debt Crisis has led to a reinforced effort to identify the sources of risk and their influence on yields of European Government Bonds. Until now, the potentially nonlinear influence and the theoretical need for interactions reflecting flight-to-quality and flight-to-liquidity has been widely disregarded. I estimate government bond yields of the Euro-12 countries without Luxembourg from May 2003 until December 2011. Using penalized spline regression, I find that the effect of most explanatory variables is highly nonlinear. These nonlinearities, together with flight patterns of flight-to-quality and flight-to-liquidity, can explain the co-movement of bond yields until September 2008 and the huge amount of differentiation during the financial and the European debt crisis without the unnecessary assumption of a structural break. The main effects are credit risk and flight-to-liquidity, while the evidence for the existence of flight-to-quality and liquidity risk (the latter measured by the bid-ask spread and total turnover of bonds) is comparably weak.
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An Options-based Approach to Forecast Competing Bids: Evidence for Canadian Takeover Battles
Stefan Eichler, Dominik Maltritz
Applied Economics,
No. 34,
2013
Abstract
During takeover battles, a tender offer provides a call option right to the target’s shareholders: it guarantees the offered price but maintains the chance of a higher offer. We present an options-based approach to estimate the probability and expected value of higher competing takeover bids using target stock price data. Analysing Canadian takeover battles in the period 1997 to 2007 we find that during the 5 trading days prior to the occurrence of an increased takeover bid, the estimated probability of a higher bid exceeds 80% on average and the expected value of a potential competing bid almost matches the realized value.
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Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models
Sebastian Giesen, Rolf Scheufele
Abstract
In this paper we analyze the small sample properties of full information and limited information estimators in a potentially misspecified DSGE model. Therefore, we conduct a simulation study based on a standard New Keynesian model including price and wage rigidities. We then study the effects of omitted variable problems on the structural parameters estimates of the model. We find that FIML performs superior when the model is correctly specified. In cases where some of the model characteristics are omitted, the performance of FIML is highly unreliable, whereas GMM estimates remain approximately unbiased and significance tests are mostly reliable.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay. In a simulated out-of-sample experiment we evaluate the different modelling strategies conditional on the given state of information and depending on the model averaging technique. The proposed approach is computationally simple and can be easily implemented as a nowcasting tool. Finally, this method also allows retracing the driving forces of the forecast and hence enables the interpretability of the forecast outcome.
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