In this paper we seek to understand the recent dynamics of the Brazilian housing market, which experienced a significant growth in recent years. In particular, we assess the effects of aggregate productivity and monetary policy shocks on housing market variables. Moreover, we also investigate...

Besonders in Großstädten wird die Wohnsituation in Deutschland oft als problematisch wahrgenommen, etwa durch hohe Mieten bei Neuvermietungen und einem Mangel an verfügbarem Wohnraum. Gestützt auf Langzeitdaten des SOEP untersucht der Bericht, welche Rolle die Wohnsituation für die...

We show that the Kaldor (1940) trade cycle mechanism can be meaningfully applied to the market for residential housing space, since the demand for houses may be positively related to the housing price in a mid-range price domain, while it is downward sloping for house prices sufficiently small...

This article analyses the contribution of the second wave of immigrants to the United States to the formation of the young American people. Unlike other states, the USA is a nation founded on waves of immigrants coming from different parts of the world. This paper includes the second wave of...

Using several different datasets obtained from the German Central Bank (Deutsche Bundesbank) and the German Federal Statistical Office, we provide empirical evidence that savings and loan contracts (SLCs) are a macrosocial phenomenon that smooths housing demand by setting countercyclical...

Seit rund zehn Jahren steigen in Berlin die Mietpreise von Wohnimmobilien stark an. Kurzzeitvermietungen über Vermittlungsplattformen wie Airbnb stehen im Verdacht diese Entwicklung weiter zu befeuern. Tatsächlich zeigen Schätzungen: Durch eine zusätzliche Airbnb-Unterkunft steigen im...

Following geographically concentrated changes in housing markets, real estate prices have skyrocketed in many cities and metropolitan areas across Germany. These developments have not only shifted the macro-level distribution of asset wealth among homeowners but have also resulted in price...

Monitoring property price dynamics is a necessary task for central banks in order to maintain financial stability in the economy. Big data offers potential as a new source of data that might be used to produce official statistics on property. In this paper, we develop an alternative residential...

Hedonic regressions are used for residential property price index (RPPI) measurement to control for changes in the quality-mix of properties transacted. This paper consolidates the confusing array of existing approaches and methods of implementation. It further develops an innovative form of...

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...