The purpose of this paper is to forecast housing prices in Ankara, Turkey using the artificial neural networks (ANN) approach. The data set was collected from one of the biggest real estate web pages during April 2013. A three-layer (input layer - one hidden layer - output layer) neural network...

For treatment effects—one of the core issues in modern econometric analysis—prediction and estimation are two sides of the same coin. As it turns out, machine learning methods are the tool for generalized prediction models. Combined with econometric theory, they allow us to estimate not only...

Experiments on revealed preference often use budget sets that are randomly and independently drawn according to some criteria for each participant. However, this means that the budget sets faced by different individuals are not the same. This paper proposes a method to control for these...

We establish 16 good practice principles for modelling defined contribution pension plans. These principles cover the following issues: model specification and calibration; modelling quantifiable uncertainty; modelling member choices; modelling member characteristics, such as occupation and...

We use the 2018 survey data from the Household, Income, and Labour Dynamic (HILDA) in Australia and the Household Economic Survey (HES) in New Zealand to investigate the retirement income sufficiency in Australia and New Zealand. Our baseline results indicate that the annuitized net wealth is...

Die Anforderungen an die Finanzkompetenzen der Bevölkerung steigen aus einer Reihe von Gründen weiter an. Anhand des Datensatzes "Private Haushalte und ihre Finanzen" zeigt diese Studie, dass in Deutschland generell ein relativ hohes Niveau an Finanzkompetenz vorliegt; dennoch besteht hier...

Our study contributes to a better understanding of the relationship between financial literacy and households' investments in risky assets. We estimate a structural equation model with data from the Panel on Household Finances of the German central bank. Our results show that although...

The COVID-19 pandemic, due to its prevalence, has affected all spheres of socio-economic life, in particular household finances. The aim of the article is to present the impact of the pandemic on the financial situation of Poles and Slovaks who use robo-advisory services, including their...

We survey 231 undergraduate students to analyze how retail investors' characteristics influence their decision to use a robo-advisor. Characteristics such as the willingness to take risk, extraversion, and optimism are significant in univariate tests but the willingness to take risk and the...

The home bias like the disposition effect is a well-researched economic phenomenon in investor behaviour which has been examined in finance journal articles for decades. While there is little doubt about the existence of the bias, its magnitude varies across countries and investor groups. The...