College Choice, Selection and Allocation Mechanisms: A Structural Empirical Analysis
We use rich microeconomic data on performance and choices of students at college entry to analyze interactions between the selection mechanism, eliciting college preferences through exams, and the allocation mechanism. We set up a framework in which success probabilities and student preferences are shown to be identified from data on their choices and their exam grades under exclusion restrictions and support conditions. The counterfactuals we consider balance the severity of congestion and the quality of the match between schools and students. Moving to deferred acceptance or inverting the timing of choices and exams are shown to increase welfare. Redistribution among students and among schools is also sizeable in all counterfactual experiments.
Spatial Development Patterns in East Germany and the Policy to Maintain “Industrial Cores”
H.-G. Jeong, G. Heimpold (Hrsg.), Economic Development after German Unification and Implications for Korea. Policy References 18-08. Sejong: Korea Institute for International Economic Policy,
This paper investigates the intra-regional development patterns in East Germany with particular reference to the manufacturing sector. When East Germany’s economy was ruled by the central planning regime, the share of industrial workforce in total employment was the greatest in entire Europe. It exceeded the respective value in the Soviet Union at that time. When the transition from a centrally planned economy to a market economy occurred, the East German manufacturing sector faced the greatest challenges.
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Joint Economic Forecast Autumn 2019: Economy Cools Further Germany’s leading economics research institutes have revised...
East Germany Rearguard Only investments in education will lead to a further catch-up ...
Centre for Evidence-based Policy Advice
Centre for Evidence-based Policy Advice (IWH-CEP) ...
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IWH FDI Micro Database
IWH FDI Micro Database The IWH FDI Micro Database (FDI = Foreign Direct...
Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries
International Regional Science Review,
Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. Although there has been some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters has been established. In the present article, we present a hybrid approach to cluster identification. Dominant buyer–supplier relationships are derived by qualitative input–output analysis from national input–output tables, and potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German research and development-intensive industries. A sensitivity analysis reveals good robustness properties of the hybrid approach with respect to variations in the quantitative cluster composition.