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Year
Refresh
Employment Effects of Investment Grants and Firm Heterogeneity – Evidence from a Staggered Adoption Approach
Eva Dettmann, Mirko Titze, Antje Weyh
IWH Discussion Papers, No. 6, 2023
Abstract
This study estimates the establishment-level employment effects of investment grants in Germany. In addition to the average treatment effect for the treated, we focus on discrimination in the funding rules as potential source of effect heterogeneity. We combine the difference-in-differences approach of Callaway and Sant’Anna (2021) that explicitly models variation in treatment timing with a ties matching at the cohort level. We observe a positive effect of investment grants on employment development in the full sample. The subsample analysis yields strong evidence for effect heterogeneity due to firm characteristics and the economic environment.
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flexpaneldid: A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
IWH Discussion Papers, No. 3, 2020
Abstract
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) for the staggered treatment adoption design and a Stata tool that implements the approach. This flexible conditional difference-in-differences approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations. Introducing more flexibility enables the user to consider individual treatment periods for the treated observations and thus circumventing problems arising in canonical difference-in-differences approaches. The open-source flexpaneldid toolbox for Stata implements the developed approach and allows comprehensive robustness checks and quality tests. The core of the paper gives comprehensive examples to explain the use of the commands and its options on the basis of a publicly accessible data set.
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flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
IWH Discussion Papers, No. 5, 2019
published in:
IWH Discussion Papers
Abstract
>>A completely revised version of this paper has been published as: Dettmann, Eva; Giebler, Alexander; Weyh, Antje: flexpaneldid. A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration. IWH Discussion Paper 3/2020. Halle (Saale) 2020.<< The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) and its Stata implementation, the command flexpaneldid. The approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations (like investment grants or other subsidy schemes). Introducing more flexibility enables the user to consider individual treatment and outcome periods for the treated observations. The flexpaneldid command for panel data implements the developed flexible difference-in-differences approach and commonly used alternatives like CEM Matching and difference-in-differences models. The novelty of this tool is an extensive data preprocessing to include time information into the matching approach and the treatment effect estimation. The core of the paper gives two comprehensive examples to explain the use of flexpaneldid and its options on the basis of a publicly accessible data set.
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Who Benefits from GRW? Heterogeneous Employment Effects of Investment Subsidies in Saxony Anhalt
Eva Dettmann, Mirko Titze, Antje Weyh
IWH Discussion Papers, No. 27, 2017
Abstract
The paper estimates the plant level employment effects of investment subsidies in one of the most strongly subsidized German Federal States. We analyze the treated plants as a whole, as well as the influence of heterogeneity in plant characteristics and the economic environment. Modifying the standard matching and difference-in-difference approach, we develop a new procedure that is particularly useful for the evaluation of funding programs with individual treatment phases within the funding period. Our data base combines treatment, employment and regional information from different sources. So, we can relate the absolute effects to the amount of the subsidy paid. The results suggest that investment subsidies have a positive influence on the employment development in absolute and standardized figures – with considerable effect heterogeneity.
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Identifying the Effects of Place-based Policies – Causal Evidence from Germany
Matthias Brachert, Eva Dettmann, Mirko Titze
IWH Discussion Papers, No. 18, 2016
Abstract
The German government provides discretionary investment grants to structurally weak regions to reduce regional disparities. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of receiving investment grants to identify the causal effects of the investment grant on regional outcomes. We find positive effects for regional gross value-added and productivity growth, but no effects for employment and gross wage growth.
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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
IWH Discussion Papers, No. 12, 2013
published in:
Foresight-Russia
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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Is there a Superior Distance Function for Matching in Small Samples?
Eva Dettmann, Claudia Becker, Christian Schmeißer
IWH Discussion Papers, No. 3, 2010
published in:
Computational Statistics & Data Analysis
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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Subsidized Vocational Training: Stepping Stone or Trap? An Evaluation Study for East Germany
Eva Dettmann, Jutta Günther
IWH Discussion Papers, No. 21, 2009
Abstract
The aim of this paper is to analyze whether the formally equal qualifications acquired during a subsidized vocational education induce equal employment opportunities compared to regular vocational training. Using replacement matching on the basis of a statistical distance function, we are able to control for selection effects resulting from different personal and profession-related characteristics, and thus, to identify an unbiased effect of the public support. Besides the ‘total effect’ of support, it is of special interest if the effect is stronger for subsidized youths in external training compared to persons in workplace-related training. The analysis is based on unique and very detailed data, the Youth Panel of the Halle Centre for Social Research (zsh). The results show that young people who successfully completed a subsidized vocational education are disadvantaged regarding their employment opportunities even when controlling for personal and profession-related influences on the employment prospects. Besides a quantitative effect, the analysis shows that the graduates of subsidized training work in slightly worse (underqualified) and worse paid jobs than the adolescents in the reference group. The comparison of both types of subsidized vocational training, however, does not confirm the expected stronger effect for youths in external vocational education compared to workplace-related training.
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Will There Be a Shortage of Skilled Labor? An East German Perspective to 2015
Herbert S. Buscher, Eva Dettmann, Marco Sunder, Dirk Trocka
IWH Discussion Papers, No. 13, 2009
Abstract
We analyze the supply and demand of skilled labor in an East German federal state, Thuringia. This state has been facing high unemployment in the course of economic transformation and experiences population ageing and shrinking more rapidly than most West European regions. In a first step, we use extrapolation techniques to forecast labor supply and demand for the period 2009-2015, disaggregated by type of qualification. The analysis does not corroborate the notion of an imminent skilled-labor shortage but provides hints for a tightening labor market for skilled workers. In the second step, we ask firms about their appraisal of future recruitment conditions, and both current and planned strategies in the context of personnel management. The majority of firms plan to expand further education efforts and hire older workers. The study closes with policy recommendations to prevent occupational mismatch.
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