Openness and Income Disparities: Does Trade Explain The 'Mezzogiorno' Effect?
Claudia M. Buch, P. Monti
Review of World Economics,
Nr. 4,
2010
Abstract
We use Italian regional data to answer the question whether trade affects within-country income differentials. In Italy, the more affluent Northern regions trade more with the rest of the world than the poorer ones in the Southern “Mezzogiorno” regions. Prima facie, there is a positive correlation between external trade and per capita income. Studying this relationship empirically requires taking into account the endogenous component of trade. We argue that panel cointegration models can complement instrumental variables techniques to account for the endogeneity of trade in a panel context. Both methods show a positive link between trade openness and the level of income per capita.
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The Impact of Bank and Non-bank Financial Institutions on Local Economic Growth in China
Xiaoqiang Cheng, Hans Degryse
Journal of Financial Services Research,
Nr. 2,
2010
Abstract
This paper provides evidence on the relationship between finance and growth in a fast growing country, such as China. Employing data of 27 Chinese provinces over the period 1995–2003, we study whether the financial development of two different types of financial institutions — banks and non-banks — have a (significantly different) impact on local economic growth. Our findings indicate that banking development shows a statistically significant and economically more pronounced impact on local economic growth.
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Protect and Survive? Did Capital Controls Help Shield Emerging Markets from the Crisis?
Makram El-Shagi
Economics Bulletin,
Nr. 1,
2012
Abstract
Using a new dataset on capital market regulation, we analyze whether capital controls helped protect emerging markets from the real economic consequences of the 2009 financial and economic crisis. The impact of the crisis is measured by the 2009 forecast error of a panel state space model, which analyzes the business cycle dynamics of 63 middle-income countries. We find that neither capital controls in general nor controls that were specifically targeted to derivatives (that played a crucial role during the crisis) helped shield economies. However, banking regulation that limits the exposure of banks to global risks has been highly successful.
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The Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Economic Modelling,
Nr. 4,
2012
Abstract
In this paper we develop an open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model -- the Halle Economic Projection Model (HEPM) -- is closely related to studies published by Carabenciov et al. Our main contribution is that we model the Euro area countries separately. In doing so, we consider Germany, France, and Italy which represent together about 70 percent of Euro area GDP. The model combines core equations of the New-Keynesian standard DSGE model with empirically useful ad-hoc equations. We estimate this model using Bayesian techniques and evaluate the forecasting properties. Additionally, we provide an impulse response analysis and a historical shock decomposition.
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Regional House Price Dynamics and Voting Behavior in the FOMC
Stefan Eichler, Tom Lähner
Economic Inquiry,
Nr. 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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Determinants of Illegal Mexican Immigration into the US Southern Border States
A. Buehn, Stefan Eichler
Eastern Economic Journal,
Nr. 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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Interactive Dynamic Capabilities and Regenerating the East German Innovation System
N. von Tunzelmann, Jutta Günther, Katja Wilde, Björn Jindra
Contributions to Political Economy,
2010
Abstract
The paper sets out a specification of capabilities and competencies derived from Sen’s work on consumer capabilities and welfare economics. This approach is one that proves remarkably easy to generalise, first to producer and supplier capabilities, and thence to interactive and dynamic capabilities. The approach is then applied via the consequential perspectives of regional systems of innovation and network alignment to the case of the efforts to regenerate the innovation system in East Germany since reunification. It is seen that this process can be divided into three periods, of which the most recent appears to meet some of the theoretical requirements for effective interactive capabilities. It is less clear that the criteria for dynamic capabilities—which involve considerations of speed-up and flexibility, to meet the market requirements in real time—have yet been taken sufficiently seriously.
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Testing for Structural Breaks at Unknown Time: A Steeplechase
Makram El-Shagi, Sebastian Giesen
Computational Economics,
Nr. 1,
2013
Abstract
This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown et al. (J R Stat Soc B 37:149–163, 1975) and Zeileis (Stat Pap 45(1):123–131, 2004), Nyblom (J Am Stat Assoc 84(405):223–230, 1989) and Hansen (J Policy Model 14(4):517–533, 1992), and Andrews et al. (J Econ 70(1):9–38, 1996). Power and size properties are derived using Monte Carlo simulations. We find that the Nyblom test is on par with the commonly used F type tests in a small sample in terms of power. While the Nyblom test’s power decreases if the structural break occurs close to the margin of the sample, it proves far more robust to nonnormal distributions of the error term that are found to matter strongly in small samples although being irrelevant asymptotically for all tests that are analyzed in this paper.
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Preventing Innovative Cooperations: The Legal Exemptions Unintended Side Effect
Christian Growitsch, Nicole Nulsch, Margarethe Rammerstorfer
European Journal of Law and Economics,
Nr. 1,
2012
Abstract
In 2004, European competition law had been considerable changed by the introduction of the new Council Regulation No. 1/2003. One of the major renewals was the replacement of the centralized notification system for inter-company cooperations in favor of a so-called legal exemption system. We analyze the implications of this reform and its arising uncertainty on the agreements firms implement, especially on innovative agreements like vertical R&D agreements. By means of a decision theoretic approach, we show that the law’s intention to reduce the incentive to establish illegal cartels will be reached but innovating cooperations might be prevented. To avoid this unintended side effect, fines but not the monitoring activities should be increased.
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