BEHAIVIOR OF PREFABRICATED HOUSE PRICE : Study on Prefabricated House Price I

Understanding House-Price Dynamics

*The views expressed here are those of the author and do not necessarily represent the views of the Federal Reserve Bank of Philadelphia or the Federal Reserve System. or most homeowners, housing is the single most important component of their nonpension wealth. Therefore, a change in house prices greatly affects the total wealth of many households. Furthermore, movements in house prices can af...

Exploring the Opportunities and Barriers of Using Prefabricated House Components

To satisfy customers’ desires with a maintained efficiency of the production process is a challenge for many house construction companies. Houses are one-off projects with a production process characterized by variability and complexity that often lead to unpredicted costs. Prefabricated component solutions could possibly solve these issues through modularization, mass customization and delayed...

House Price Index Methodologies

House Price Prediction Using LSTM

In this paper, we use the house price data ranging from January 2004 to October 2016 to predict the average house price of November and December in 2016 for each district in Beijing, Shanghai, Guangzhou and Shenzhen. We apply Autoregressive Integrated Moving Average model to generate the baseline while LSTM networks to build prediction model. These algorithms are compared in terms of Mean Squar...

Local Quantile House Price Indices

Locally weighted quantile regressions allow the coefficients of hedonic house price functions to vary over space. Using data on all house sales in Cook County, Illinois, for 20002011, I show how the full distribution of appreciation rates changed over time in small geographic areas. The estimates reveal significant spatial variation in appreciation rates both geographically and across the distr...