Every hedonic price index is an estimate of an unknown economic parameter. It depends, in practice, on one or more random samples of prices and characteristics of a certain good. Bootstrap resampling methods provide a tool for quantifying sampling errors. Following some general reflections on...

We propose a wild bootstrap procedure for linear regression models estimated by instrumental variables. Like other bootstrap procedures that we have proposed elsewhere, it uses efficient estimates of the reduced-form equation(s). Unlike them, it takes account of possible heteroskedasticity of...

We propose a wild bootstrap procedure for linear regression models estimated by instrumental variables. Like other bootstrap procedures that we have proposed elsewhere, it uses efficient estimates of the reduced-form equation(s). Unlike them, it takes account of possible heteroskedasticity of...

We propose a wild bootstrap procedure for linear regression models estimated by instrumental variables. Like other bootstrap procedures that we have proposed elsewhere, it uses efficient estimates of the reduced-form equation(s). Unlike them, it takes account of possible heteroskedasticity of...

The aim of our article is to analyze the dynamics of housing prices in the secondary housing market in Warsaw from Q1 2006 to Q3 2013, taking into account the spatial relationship between prices. In the first part of this research we compare the geographically weighted regression with a linear...

The aim of our article is to analyze the dynamics of housing prices in the secondary housing market in Warsaw from Q1 2006 to Q3 2013, taking into account the spatial relationship between prices. In the first part of this research we compare the geographically weighted regression with a linear...

Secondary markets have adopted a number of quality signaling mechanisms such as certification to reduce information asymmetries between buyers and sellers in these markets. However the importance and value of these signals depends on the nature and extent of information asymmetries. With the...

In this Paper we propose an alternative to traditional hedonics for estimating new multiunit housing inflation, adjusting for quality changes. By relying on the within-site variation we control in a very general way for unobserved housing characteristics using site-specific effects. Precise...

Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....