Frankfurt School annually offers up to 10 econometric analysis of cross section and panel data solutions pdf scholarships for outstanding graduates. Upon successful completion of the courses and writing high standard papers, Frankfurt School awards a doctoral degree in economics, Doctor rerum politicarum or Dr.
Candidates from Frankfurt School’s Doctoral Programme have been placed at leading schools and research institutions in Europe and beyond, e. Mannheim, Deutsche Bundesbank, OECD, Technical University of Munich TUM, UC Santa Barbara, University of Rostock, University of Technology Sydney, WU Vienna. In their turn, doctoral candidates present their research at international conferences. While the primary intention of the programme is to prepare doctoral candidates for academic careers, their research topics are also directly relevant for business and politics. Basic knowledge of econometrics and statistics and algebra at the Ievel of an undergraduate course. The course closely follows the main textbook of the course.
While the course is self-contained, following the main textbook provides the participants with a well-structured source for further reading and deeper understanding of the topics. Topics are discussed from a theoretical point of view to provide the participants with a proper understanding of the econometric models. The participants must turn in assignments. These assignments are in general empirical in nature. The participants are encouraged to form groups to work on the assignments.
The performance of the students on the assignments and on a final exam will ultimately determine the overall performance of the participants. In each section, the module starts with a presentation of the respective theoretical concepts and then moves on to examples. In these examples, special emphasis is put on applications from management, finance and industrial organization. The first section deals with consumer decision making and general equilibrium and is followed by 5 sections on no cooperative game theory. The final two sections deal with cooperative game theory and bi-forms, i.
Which value-adding activities should be performed inside the firm? In this course, we will examine the conceptual building blocks of these theories, exploring the logic and methodologies of the extent of the market argument, of the opportunism-based theories of the firm, and of the resource-based theories of the firm. Econometrics I or equivalent course, providing solid background knowledge of econometrics. The aim of the module is to discuss a selection of advanced modern econometric techniques, focusing on their applications in empirical research and paying special attention to the recent developments in applied econometric methodology. Specifically, the course combines theoretical introduction, practical exercises and discussion of key papers applying particular methods.
The module covers econometrics of cross-sections and panel data. Introduction to R and RStudio: How to use R? Correlation, regression, and path analysis with manifest variables: Examining associations between variables. Bivariate correlation, multiple regressions, direct and indirect effects with manifest variables. Independent clusters model of CFA and alternatives. Model identification, model evaluation, model interpretation.
Combining path analysis and confirmatory factor analysis. Models for longitudinal data: Latent-State Models. Autoregressive Models and Latent Change Models: Quantifying and interpreting change over time. Scientific training at or beyond master level in some discipline.
It focuses on fundamental topics of empirical research and conveys practical skills relevant for a career in academia. The course is an in-depth introduction to the modern theory of asset pricing and portfolio choice. Its main focus is on the relationship between arbitrage and equilibrium, and how both conditions imply the existence of “state prices,” positive discount factors such that the price of any security is simply its discounted expected payoff. The first part of the course examines static economies while the second extends into a multi-period framework. The student is assumed to have a good working knowledge of probability, statistics, calculus and microeconomics.
This module introduces PhD candidates to the latest models that try to explain the role of banks in the economy. Based on those approaches this course presents latest theoretical contributions on modelling the origin of financial contagion and the role of regulation in mitigating systemic risk. Furthermore this course also presents the most recent models on competition in the banking sector and its implications for stability. The course makes students familiar with the main hidden information and hidden action models. It introduces a concise theoretical principle agent framework that allows analyzing the major topics in corporate finance including among others firms’ debt capacity and the optimal capital structure, corporate risk and liquidity management, and corporate control and governance. This course is split in two parts. The first introduces the baseline models.