Regional House Price Dynamics and Voting Behavior in the FOMC
Stefan Eichler, Tom Lähner
Economic Inquiry,
No. 2,
2014
Abstract
This paper examines the impact of house price gaps in Federal Reserve districts on the voting behavior in the Federal Open Market Committee (FOMC) from 1978 to 2010. Applying a random effects ordered probit model, we find that a higher regional house price gap significantly increases (decreases) the probability that this district's representative in the FOMC casts interest rate votes in favor of tighter (easier) monetary policy. In addition, our results suggest that Bank presidents react more sensitively to regional house price developments than Board members do.
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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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Qual VAR Revisited: Good Forecast, Bad Story
Makram El-Shagi, Gregor von Schweinitz
Abstract
Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, i.e. a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonably well in forecasting (outperforming a probit benchmark), there are substantial identification problems. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, the Qual VAR is inadvisable.
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FDI and the National Innovation System - Evidence from Central and Eastern Europe
Jutta Günther, Björn Jindra, Johannes Stephan
D. Dyker (ed.), Network Dynamics in Emerging Regions of Europe, Imperial College Press,
2010
Abstract
The paper investigates strategic motives, technological activities and determinants of foreign investment enterprises’ embeddedness in post-transition economies (Eastern Germany and selected Central East European countries). The empirical study makes use of the IWH FDI micro database. Results of the descriptive analysis of investment motives show that market access dominates over efficiency seeking and other motives. The majority of investors are technologically active in the region as a whole, but countries differ in terms of performance. The probit model estimations show that firm specific characteristics, among them innovativeness and autonomy from parent company, are important determinants of foreign investment enterprises’ embeddedness.
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Institutional transition, social capital mix and local ties – Does Communist legacy explain low labour mobility?
Peter Bönisch, Lutz Schneider
Volkswirtschaftliche Diskussionsbeiträge, (66),
No. 66,
2010
Abstract
This paper empirically analyses the question why East Germans facing weak regional labour markets show rather limited spatial mobility. Using data from the German Socio-Economic Panel, our estimation of a simultaneous three equation ordered probit model shows that informal social capital reduces regional mobility while formal social capital supports it. Furthermore, we find that East Germans acculturated in a communist system are more invested in locally bounded informal social capital than in the mobility supporting formal social capital. Low spatial mobility of East Germans, we conclude, is to an important part attributable to a system specific social capital mix.
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Innovation and Skills from a Sectoral Perspective: A Linked Employer-Employee Analysis
Lutz Schneider, Jutta Günther, Bianca Brandenburg
Economics of Innovation and New Technology,
2010
Abstract
Science and engineering skills as well as management and leadership skills are often referred to as sources of innovative activities within companies. Broken down into sectoral innovation patterns, this article examines the role of formal education, actual occupation and work experience in the innovation performance in manufacturing firms within a probit model. It uses unique micro data for Germany (LIAB) that contain information about corporate innovation activities and the qualification of employees in terms of formal education, actual professional status and work experience. We find clear differences in the human capital endowment between sectors according to the Pavitt classification. Sectors with a high share of highly skilled employees engage in above average product innovation (specialized suppliers and science-based industries). However, according to our estimation results, across as well as within these sectors a large share of highly skilled employees does not substantially increase the probability of a firm being innovative.
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Margins of international banking: Is there a productivity pecking order in banking, too?
Claudia M. Buch
Bundesbank Discussion Paper 12/2009,
2009
Abstract
Modern trade theory emphasizes firm-level productivity differentials to explain
the cross-border activities of non-financial firms. This study tests whether a
productivity pecking order also determines international banking activities. Using
a novel dataset that contains all German banks’ international activities, we
estimate the ordered probability of a presence abroad (extensive margin) and the
volume of international assets (intensive margin). Methodologically, we enrich the
conventional Heckman selection model to account for the self-selection of banks
into different modes of foreign activities using an ordered probit. Four main
findings emerge. First, similar to results for non-financial firms, a productivity
pecking order drives bank internationalization. Second, only a few non-financial
firms engage in international trade, but many banks hold international assets, and
only a few large banks engage in foreign direct investment. Third, in addition to
productivity, risk factors matter for international banking. Fourth, gravity-type
variables have an important impact on international banking activities.
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Forecasting Currency Crises: Which Methods signaled the South African Crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
South African Journal of Economics,
2008
Abstract
In this paper we test the ability of three of the most popular methods to forecast South African currency crises with a special emphasis on their out-of-sample performance. We choose the latest crisis of June 2006 to conduct an out-of-sample experiment. The results show that the signals approach was not able to forecast the out-of-sample crisis correctly; the probit approach was able
to predict the crisis but only with models, that were based on raw data. The Markov-regime- switching approach predicts the out-of-sample crisis well. However, the results are not straightforward. In-sample, the probit models performed remarkably well and were also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. The recommendation is to not restrict the forecasting to only one approach.
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A note on GMM-estimation of probit models with endogenous regressors
Joachim Wilde
Statistical Papers,
No. 3,
2008
Abstract
Dagenais (1999) and Lucchetti (2002) have demonstrated that the naive GMM estimator of Grogger (1990) for the probit model with an endogenous regressor is not consistent. This paper completes their discussion by explaining the reason for the inconsistency and presenting a natural solution. Furthermore, the resulting GMM estimator is analyzed in a Monte-Carlo simulation and compared with alternative estimators.
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