This dataset contains Residential Property Prices Indices (RPPIs) also known as House Price Indices (HPIs), measuring the price or stock of residential properties over time, by geographical coverage over the whole country, urban areas or the capital city. Data show change over previous period,...

This dataset contains Residential Property Prices Indices (RPPIs) also known as House Price Indices (HPIs), measuring the price or stock of residential properties over time, by geographical coverage over the whole country, urban areas or the capital city. Data show change over previous period,...

This dataset contains, in addition to nominal Residential Property Prices Indices (RPPIs), information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita.

This dataset contains Residential Property Prices Indices (RPPIs) also known as House Price Indices (HPIs), measuring the price or stock of residential properties over time, by geographical coverage over the whole country, urban areas or the capital city. Data show change over previous period,...

This dataset contains Residential Property Prices Indices (RPPIs) also known as House Price Indices (HPIs), measuring the price or stock of residential properties over time, by geographical coverage over the whole country, urban areas or the capital city. Data show change over previous period,...

Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers measuring the evolution of residential property prices over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy...

This dataset contains Residential Property Prices Indices (RPPIs) also known as House Price Indices (HPIs), measuring the price or stock of residential properties over time, by geographical coverage over the whole country, urban areas or the capital city. Data show change over previous period,...

To develop a price index for the housing market in Italy, we adopt the hedonic approach which enables us to separate the price variations due to qualitative changes in housing attributes from pure price changes, i.e.intrinsic real estate price variations. The resulting index is munch more robust...

The housing activity in the country, high already, is expected to further accelerate in the next few years, mainly because the government has already announced that it is committed to provide a house for all by 2022. The increased activity will impact the housing markets as a change in the house...

Using single-family sales data for Louisville, Kentucky, we show the benefits of applying robust methods to down-weight problematic transactions in a repeat sales context. Robust estimators reduce the influence of outliers in repeat sales price changes that are due to data entry errors, quality...