Evaluating the German (New Keynesian) Phillips Curve
Rolf Scheufele
North American Journal of Economics and Finance,
2010
Abstract
This paper evaluates the New Keynesian Phillips curve (NKPC) and its hybrid variant within a limited information framework for Germany. The main interest resides in the average frequency of price re-optimization by firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method based on the Anderson–Rubin statistic. We find that the German Phillips curve is purely forward-looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every 2–3 quarters. These estimates seem plausible from an economic point of view. But the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity, where firms never re-optimize prices. This analysis also offers some explanation as to why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way in which orthogonality conditions are formulated. Further, model mis-specifications may be left undetected by conventional J tests. This analysis points out the need for identification robust methods to get reliable estimates for the NKPC.
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Is there a Superior Distance Function for Matching in Small Samples?
Eva Dettmann, Claudia Becker, Christian Schmeißer
Abstract
The study contributes to the development of ’standards’ for the application of matching algorithms in empirical evaluation studies. The focus is on the first step of the matching procedure, the choice of an appropriate distance function. Supplementary o most former studies, the simulation is strongly based on empirical evaluation ituations. This reality orientation induces the focus on small samples. Furthermore, ariables with different scale levels must be considered explicitly in the matching rocess. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, in the simulation, two balancing scores (the propensity score and the index score) and the Mahalanobis distance are considered. Additionally, aggregated statistical distance functions not yet used for empirical evaluation are included. The matching outcomes are compared using non-parametrical scale-specific tests for identical distributions of the characteristics in the treatment and the control groups. The simulation results show that, in small samples, aggregated statistical distance functions are the better
choice for summarising similarities in differently scaled variables compared to the
commonly used measures.
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A Multidimensional Evaluation of the Effectiveness of Business Incubators: An application of the PROMETHEE outranking method
Michael Schwartz, Maximilian Göthner
Environment and Planning C: Government and Policy,
2009
Abstract
Considerable public resources are devoted to the establishment and operation of business incubators (BIs), which are seen as catalysts for the promotion of entrepreneurship, innovation activities and regional development. Despite the vast amount of research that focused on the effectiveness of incubator initiatives and how to measure incubator performance, there is still a lack of understanding of how to determine incubators that are more effective than others. Based on data from 410 graduate firms, the present article concentrates on this crucial question and compares the long-term effectiveness of five BIs in Germany by applying the multi-criteria outranking technique PROMETHEE. In particular, we investigate whether PROMETHEE is a well suited methodological approach for the evaluation and comparisons in the specific context of business incubation.
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A Novel Approach to Incubator Evaluations: The PROMETHEE Outranking Procedures
Michael Schwartz, Maximilian Göthner
IWH Discussion Papers,
No. 1,
2009
Abstract
Considerable public resources are devoted to the establishment and operation of business incubators (BIs), which are seen as catalysts for the promotion of entrepreneurship, innovation activities and regional development. Despite the vast amount of research that has focused on the outcomes or effectiveness of incubator initiatives and how to measure incubator performance, there is still little understanding of how to determine incubators that are more effective than others. Based on data from 410 graduate firms, this paper applies the multi-criteria outranking technique PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) and compares the long-term effectiveness of five technology-oriented BIs in Germany. This is the first time that outranking procedures are used in incubator evaluations. In particular, we investigate whether PROMETHEE is a well-suited methodological approach for the evaluation and comparisons in the specific context of business incubation.
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Economic Effects of the Halle Institute for Economic Research
Ulrich Blum
Wirtschaft im Wandel,
No. 10,
2008
Abstract
The most important approach to assess the scholarly performance of an institute is to evaluate its academic output. Economic research institutes such as the Halle Institute for Economic Research (IWH) furthermore are targeted at providing policy advice to public authorities. This adds an additional criterion, the ability to impact policy discussions in Germany and beyond.
A rarely discussed issue is the effect of an institute on the local economy. The IWH is located in a region of East Germany that is still catching up economically. Transformation problems are still very visible. In such an economic environment, the expenditures of an institute play an important role in stabilizing local demand. The analysis shows, by using input-output-methods, that the most important factor for the local economy is the demand stemming from wages earned by the employees of the institute. Especially the local area, where most of the staff lives, heavily benefits from this effect. Expenditures of about 4.6 million Euros which include the salaries of the staff of about 70 persons generates sufficient demand in the area to guarantee employment for another 35 persons. In addition, as crowding out of activities by additional demand is presently not an issue in East Germany, the taxes generated account for a considerable part of the budget.
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Using multivariate statistical methods to identify municipality clusters
Dirk Trocka
Теоретические основы и опыт стратегическ,
2008
Abstract
The monthly calculation of the Consumer Price Index is based on a sample survey in different municipalities. This study intends to evaluate and improve the representativity of the municipalities within the sample in Saxony-Anhalt with respect to their number and type applying multivariate analysis. The analysis uses variables representing both demand and supply conditions in the municipalities that determine market outcomes. It also considers the importance of a municipality for the neighbouring area.
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Evaluating the German (New Keynesian) Phillips Curve
Rolf Scheufele
IWH Discussion Papers,
No. 10,
2008
Abstract
This paper evaluates the New Keynesian Phillips Curve (NKPC) and its hybrid
variant within a limited information framework for Germany. The main interest rests on the average frequency of price re-optimization of firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method that is based upon the Anderson-Rubin statistic. We find out that the German Phillips Curve is purely forward looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every two to three quarters. While these estimates seem plausible from an economic point of view, the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity where firms never re-optimize prices. This analysis also offers some explanations why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way how orthogonality conditions are formulated. Additionally, model misspecifications may be left undetected by conventional J tests. Taken together, this analysis points out
the need for identification robust methods to get reliable estimates for the NKPC.
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Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
IWH Discussion Papers,
No. 17,
2007
Abstract
In this paper we test the ability of three of the most popular methods to forecast the South African currency crisis of June 2006. In particular we are interested in the out-ofsample performance of these methods. Thus, we choose the latest crisis to conduct an out-of-sample experiment. In sum, the signals approach was not able to forecast the outof- sample crisis of correctly; the probit approach was able to predict the crisis but just with models, that were based on raw data. Employing a Markov-regime-switching approach also allows to predict the out-of-sample crisis. The answer to the question of which method made the run in forecasting the June 2006 currency crisis is: the Markovswitching approach, since it called most of the pre-crisis periods correctly. However, the “victory” is not straightforward. In-sample, the probit models perform remarkably well and it is also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. It can, therefore, not be recommended to focus on one approach only when evaluating the risk for currency crises.
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Demographic development and its economic consequences
Joachim Ragnitz, Lutz Schneider
Wirtschaft im Wandel,
No. 6,
2007
Abstract
Within the next decades, East Germany will continue to face strong demographic challenges. In addition to shrinking, the ageing of population and labour force will more and more affect the economic development of the new Länder. Against this background, the question rises whether the shift of workforce age structure will influence growth and innovation potential as well as structural change. The IWH recently has focused on this topic widely ignored by the research literature so far. On the basis of selected methods and data, the economic impact of workforce ageing was empirically evaluated. The first issue concerns the impact of age on productivity. Based on two separate empirical investigations, the conclusion can be drawn that above a certain stage, age diminishes productivity. But higher levels of experience might partly compensate for this reduction. Secondly, the innovation effects of ageing have been analyzed. Again, significant age effects arise. Employees at the age of about 40 years turn out to be the most innovative part of the workforce. Furthermore, the analysis shows that engineers are particularly subject to age effects. A third study sheds light on the challenging consequences of ageing on entrepreneurship potential. Hence, independently of the increasing problem of skill shortages, ageing itself will unfavourably affect growth, innovation and structural change. Though political options are limited due to the more or less fixed demographic trends, appropriate instruments regarding economic, family and education policy might lower the identified age effects.
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Mikroökonometrische Evaluation der ökonomischen Wirkungen betrieblicher Mitbestimmung - Möglichkeiten und Grenzen des Matching-Ansatzes
Birgit Schultz
Jahrbücher für Nationalökonomie und Statistik,
No. 5,
2006
Abstract
The evaluation of economic effects of workers participation is not simple from the methodical point of view because of specific characteristics of establishments with works councils. Especially recent studies show contradictory results. In this study problems are pointed out, discussed, and options for solution are presented on the example of workers participation in East German establishments of industry and construction by the IAB-Establishment Panel.
An optimal matching-algorithm which supplies good matching-results for small samples to assign 'statistical establishment-twins' is applied. But by reason of very short primarily spells it can only calculate short time effects. Therefore, the matching method is additionally used to construct longer observation periods. By this new application establishments with recently founded works councils are matched with so called 'proxy establishments' with existing works councils. As a result short observation periods are prolonged and information about long-term effects can be given.
The effects on productivity, profitability and qualification level of employees show neither in short-term nor in long-term a significant impact on workers' participation.
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