A5080178204- Spatial and Panel Data Analysis
- demographic modeling and climate adaptation
- Monetary Policy and Economic Impact
- Regional Economic and Spatial Analysis
- Regional Economics and Spatial Analysis
- Economic Growth and Productivity
- Economic theories and models
- Advanced Statistical Methods and Models
- Fiscal Policy and Economic Growth
- Economic Policies and Impacts
- Income, Poverty, and Inequality
- Data Analysis with R
- Statistical Methods and Inference
- Electoral Systems and Political Participation
- Populism, Right-Wing Movements
- Doctoral Education Challenges and Solutions
- Housing Market and Economics
- Digital Marketing and Social Media
- Innovation Diffusion and Forecasting
- Economic Growth and Development
- Media Influence and Politics
- Consumer Market Behavior and Pricing
- Creativity in Education and Neuroscience
- Gender Diversity and Inequality
- Forecasting Techniques and Applications
University of Passau
2015-2024
Bielefeld University
2011
University of Regensburg
2008-2010
Summary Phillips and Sul (Journal of Applied Econometrics 2009, 24 , 1153–1185) provide an algorithm to identify convergence clubs in a dynamic factor model economic transition growth. We narrow replication their key results, using the open source R software instead original GAUSS routines. are able exactly replicate results on clubs, corresponding point estimates standard errors. comment minor differences between reported clustering algorithm. propose simple adjustments make manual...
Abstract Recently, using mixed data on Canadian housing, Parmeter, Henderson, and Kumbhakar ( Journal of Applied Econometrics 2007; 22 : 695–699) found that a nonparametric approach for estimating hedonic house price function is superior to formerly suggested parametric semiparametric specifications. We carefully reanalyze these specifications this dataset by applying recent specification test simulation‐based prediction comparisons. For the case at issue our results suggest previously...
Abstract Which issue-related motives underlie voters’ decision to switch parties at the polls? Do switchers stick newly chosen party, or do they oscillate in a short-term way intermediate elections? Relying on behavioral theory of elections, we assumed aspiration-based voting boundedly rational voters. We elicited and stay an open-ended survey question format identify individual dominant aspirational frame. traced respondents’ trajectories over three consecutive including two state (2013...
Election polls are frequently employed to reflect voter sentiment with respect a particular election (or fixed-event). Despite their widespread use as forecasts and inputs for predictive algorithms, there is substantial uncertainty regarding efficiency. This amplified by judgment in the form of pollsters applying unpublished weighting schemes ensure representativeness sampled voters underlying population. Efficient forecasting systems incorporate past information instantly, which renders...
We show how to use the introductory econometrics textbook by Stock and Watson (2019) as a starting point for teaching studying dynamic panel data methods. The materials are intended undergraduate students taking their second course, in seminar-type courses, independent study capstone, or thesis projects, beginning graduate research methods course. First, we distill methodological core necessary understand Second, design an empirical theoretical case highlight capabilities, downsides, hazards...
Building on self-determination theory and intelligent career theory, we investigate what leads PhD graduates to pursue an academic career. Using panel data from a cohort of students who completed PhDs in business, economics, law, or social sciences the 2014 year Germany, find that, general, intrinsically motivated are more likely choose However, they need be embedded specific context—that is, set relationships—for intrinsic motivation have its positive effect. In particular, our results show...
The paper proposes a cross-validation method to address the question of specification search in multiple nonlinear quantile regression framework. Linear parametric, spline-based partially linear and kernel-based fully nonparametric specifications are contrasted as competitors using cross-validated weighted L 1-norm based goodness-of-fit prediction error criteria. aim is provide fair comparison with respect estimation accuracy and/or predictive ability for different semi- paradigms. This...
This paper introduces pdynmc, an R package that provides users sufficient flexibility and precise control over the estimation inference in linear dynamic panel data models.The primarily allows for inclusion of nonlinear moment conditions use iterated GMM; additionally, visualizations structure results are provided.The current implementation reflects recent developments literature, uses sensible argument defaults, aligns commercial noncommercial commands.Since understanding model assumptions...
Building on diversity research and social identity theory, we investigate whether how characteristics influence the decisions of PhD graduates to pursue an academic career. Using panel data from a cohort students who graduated in 2014 year Germany, find that, general, surface-level characteristics, such as gender, only career choice when deep-level personality, preferences, values, class, remain unconsidered. Among consistent evidence for foreign-born be more likely stay academia than...