We show that for any sample size, any size of the test, and any weights matrix outside a small class of exceptions, there exists a positive measure set of regression spaces such that the power of the Cliff-Ord test vanishes as the autocorrelation increases in a spatial error model. This result...

This article aims to deepen the knowledge on consumer choices from the microeco-nomic perspective so as to better understand the behaviour of home buyers and its impact on the housing market. First, we provide an analysis of housing understood as a consumer and investment good. We then discuss...

In this study, we investigate the effects of age structure dynamics of population on the housing demand in Turkey. The critical question is how the housing demand moves in the environment of positive population growth with declining rate and aging population. We use TurkStat Household Budget...

This paper empirically examines the functional role of various micro and macro economic as well as situational factors that determine residential housing demand and risk of borrower default. Using 13,487 housing loan account sanctioned from 1993-2007) data from Housing Finance Institutions...

It is implied that the Housing Finance companies and banking sector can find an equilibrium rate of return on deposits by simultaneous determination of the utilization of housing loans and supply of the funds. The results are also useful in determination of equilibrium ratio of the rental income...

We consider testing the null hypothesis of no spatial autocorrelation against the alternative of first order spatial autoregression. A Wald test statistic has good first order asymptotic properties, but these may not be relevant in small or moderate-sized samples, especially as (depending on...

This paper presents a collection of spatial econometrics tools to detect global and local spatial dependence. These tools are used to analyze the spatial structure of the unemployment rate in Argentina in Census 2001 and 2010. Detailed study enables identification and comparison of persistent...

We examine econometric and elementary economic theory issues arising from the model specification in Henderson, Storeygard and Weil (2012), that uses night light data to proxy for missing or unreliable GDP growth data. An alternative approach based on the expenditure function is outlined. It can...

We examine spatial econometric issues arising from the model specification in Henderson, Storeygard and Weil (2012), that uses night light data to proxy for missing or unreliable GDP growth data.

The aim of this article is to replace the question of the last two enlargements in the debate on the future of the cohesion policy. The interest is to estimate the process of the spatial expression of the convergence and the regional growth in the EU. The spatial statistics and the platform of...