Finanzkompetenzen haben für die gesellschaftliche Teilhabe eine hohe Bedeutung. Dieser Beitrag führt eine empirische Evaluation der Determinanten der Finanzkompetenz von Studierenden an einer deutschen Hochschule durch. Ein weiteres Ziel ist auch die Identifizierung der geschlechtsspezifischen...

We examine how students that transfer credit for an introductory-level course from schools of varying quality perform in a subsequent intermediate-level course, holding constant many student characteristics. We measure college quality by the percent of students admitted, the faculty-student...

Students are admitted into higher education based on their past performance. This paper compares two measures of past cognitive skills: teacher and national exam scores. By using a nationwide dataset, we look at how the predictive power of teacher assessment and exam scores for selecting...

This work disentangles aspects of teacher quality that impact student learning and performance. We exploit detailed data from post-secondary education that links students from randomly assigned instructors in introductory-level courses to the students' performances in follow-on courses for a...

Franziska Bernadette Hampf prepared this study while she was working at the ifo Center for the Economics of Education. The study was completed in September 2019 and accepted as doctoral thesis by the Department of Economics at the University of Munich. It consists of four distinct empirical...

This volume was prepared by Susanne Link during her stay at the Ludwig-Maximilians-University of Munich and the Department of Human Capital and Innovation of the Ifo Institute of Economic Research. It was accepted as a doctoral thesis by the Economics Departure of the University of Munich in...

This paper deals with estimating peaked densities over the interval [0,1] using two-sided power distribution (Kotz, van Dorp, 2004). Such data were encountered in experiments determining certainty equivalents of lotteries (Kontek, 2010). This paper summarizes the basic properties of the...

Pre-averaging is a popular strategy for mitigating microstructure in high frequency financial data. As the term suggests, transaction or quote data are averaged over short time periods ranging from 30 seconds to five minutes, and the resulting averages approximate the efficient price process...

A time-series basis decomposition and trend extraction technique known as Empirical Mode Decomposition (EMD), designed for multi-scale time-frequency decomposition in non-stationary time-series settings, will be combined with Regularised Covariance Regression (RCR) methods to produce a framework...

We propose a non-standard sub-sampling procedure to make formal statistical inference about the business cycle, one of the most important unobserved feature characterizing fluctuations of economic growth. We show that some characteristics of business cycle can be modeled in a non-parametric way...