Table 1 - uploaded by Esteban López Ochoa
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Source publication
Understanding household preferences for housing attributes is imperative for developing countries after years of housing policies that failed mostly due to the mismatch between housing solutions and needs. This paper provides income and price elasticity estimates of the demand for housing attributes as an indicator to measure how households perceiv...
Contexts in source publication
Context 1
... we controlled for the type of housing. The benchmark category is a house, while House Type B (See Table 1) indicates an apartment and House Type C (See Table 1) indicates a shelter with a lower struc- tural quality than houses and apartments. The estimated coefficients again show the expected signs: apartments have, on average, lower prices than houses. ...
Context 2
... we controlled for the type of housing. The benchmark category is a house, while House Type B (See Table 1) indicates an apartment and House Type C (See Table 1) indicates a shelter with a lower struc- tural quality than houses and apartments. The estimated coefficients again show the expected signs: apartments have, on average, lower prices than houses. ...
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Citations
... This article addresses this gap by assessing the preferences of low-income households for internet access in their dwellings. It thus builds on a second strand of research literature that deals with preferences concerning housing features in the context of housing choices and residential mobility (Clark et al., 2006;Coolen and Hoekstra, 2001;Hurtubia et al., 2010;Lopez and Paredes, 2018;Musterd et al., 2016). To the best of my knowledge, this is the first study to investigate internet access at home in connection with intentions to change residence or actual changes of residence. ...
... building material quality, special amenity features). Necessities are price inelastic or highly preferred, while amenities are price elastic or less preferred (Lopez and Paredes, 2018). Residential mobility modelling analogously divides housing attributes into those of primary and secondary importance (preference) in residential choice (Clark and Onaka, 1983;Clark et al., 2006;Hurtubia et al., 2010). ...
Although most households are equipped with digital information and communication technologies (DICT), a significant digital divide remains in internet access at home along income and digital native/immigrant status. Previous research has mainly investigated whether this digital inequality is attributable to constraints such as technological availability or financial resources. This article examines the extent to which digital inequality of internet access at home is preference-driven by comparing internet preference with other housing preferences and investigating the effect heterogeneity of social status on internet preference. We analyse a dataset comprising 131 residents of a disadvantaged neighbourhood in Bochum, Germany. This neighbourhood provides a suitable setting, as internet access is available throughout the area but varies between individual households. Using a factorial survey with housing vignettes, we assess the importance of internet preference. This research design circumvents many of the difficulties in measuring housing preferences, such as unrealistic wishful thinking, and facilitates the investigation of effect heterogeneity in terms of social status characteristics. The results show that the preference for internet access at home is comparable to that of other housing amenities and does not vary according to age, income or the presence of children. The findings reinforce the importance of the financial constraint-driven causes of the digital divide.
... ere are also models to establish a double-sided matching theory to solve the problem of public rental housing [11]. At the same time, some scholars pointed out that SAD patterns consider various housing attributes in the house matching selection process [12,13] and that these attributes affect ORH SAD matching [14]. For example, price floors play a central role between SAD [15], while issues around house matching and comfort, transportation, the surrounding environment, and landlord services are specific indicators of tenant concerns [16]. ...
... Location is also a factor of housing mismatch [2]. e size and location of a house are considered to be necessary conditions for appropriate house matching [14]. erefore, housing attributes play a very important role in balancing the SAD of ORH. ...
The mismatch between the supply and demand of online-listed rental housing (ORH) is an important factor restricting the operational efficiency of online rental service platforms. However, extant literature pays little attention to this problem. This study proposes an ORH multiattribute supply and demand matching decision model based on the perceived utility of matching both sides of this market. The model considers the multiattribute information of ORH, such as area, transportation, rent, room, and interior decoration, and quantifies their perceived utility values based on the theory of disappointment. Thereafter, we construct the matching decision model and verify it for feasibility by applying it to Shanghai’s ORH supply and demand information—our empirical case. The results show that this method can be applied to online rental housing platforms and meet the supply and demand matching requirements to the greatest extent. The constructed model takes into account the perceptions of both supply and demand parties, may promote the effective matching of ORH supply and demand, and bears theoretical implications for the improvement of rental housing matching in ORH platforms.
... But according to their results, it is a good approximation and avoids the use of the other cross-price elasticities, when calculating each price elasticity. 11 This type of result regarding the patterns followed by expenditure and price elasticities is also obtained in similar exercises for the housing market (Lopez & Paredes, 2018). 12 In the attendance and audience analyses for Spanish football in Artero et al. (2019) the schedules have a significant effect on demand. ...
We estimate a system of demand equations for three aggregate characteristics of a football game—quality of the teams, outcome uncertainty, and schedule—based on the estimation of a hedonic price model for the ticket price of a football match using data from the Spanish football league. We conclude that all three characteristics are not inferior goods (quality as a luxury), and they are price inelastic, showing some degree of complementarity. Some implications of these results in terms of the measures taken and to be taken by the Spanish association of football clubs (LaLiga) are discussed.
El presente estudio tuvo como objetivo principal determinar las características de la vivienda social en la transición socioeconómica de los jóvenes. Una revisión sistemática. En este marco la investigación fue de enfoque cualitativo, de tipo descriptivo y de diseño narrativo. Se uso el análisis documental como técnica de recolección de información, para la búsqueda sistemática en 5 plataformas obteniendo, artículos de revistas indexadas como Scielo, Scopus, Redalyc, Dialnet y ProQuest. Tomando en cuenta publicaciones en español, inglés y portugués de los últimos 5 años, subsistiendo al final 40 artículos cualitativos, concluyendo que la vivienda social contemporánea; es una prioridad pública que se hace a través de las políticas públicas, y que se diferencia por su poder adquisitivo. Por tanto, es una expresión material de la cultura y sintetiza los distintos factores que condicionan la habitabilidad. Esto demuestra que la vivienda social es producto de una necesidad global por demanda de espacios o financiamiento subsidiado que está asociado a la tendencia socioeconómica de los jóvenes en los diferentes niveles de la convivencia social.
El presente estudio tuvo como objetivo principal determinar las características de la vivienda social en la transición socioeconómica de los jóvenes. Una revisión sistemática. En este marco la investigación fue de enfoque cualitativo, de tipo descriptivo y de diseño narrativo. Se uso el análisis documental como técnica de recolección de información, para la búsqueda sistemática en 5 plataformas obteniendo, artículos de revistas indexadas como Scielo, Scopus, Redalyc, Dialnet y ProQuest. Tomando en cuenta publicaciones en español, inglés y portugués de los últimos 5 años, subsistiendo al final 40 artículos cualitativos, concluyendo que la vivienda social contemporánea; es una prioridad pública que se hace a través de las políticas públicas, y que se diferencia por su poder adquisitivo. Por tanto, es una expresión material de la cultura y sintetiza los distintos factores que condicionan la habitabilidad. Esto demuestra que la vivienda social es producto de una necesidad global por demanda de espacios o financiamiento subsidiado que está asociado a la tendencia socioeconómica de los jóvenes en los diferentes niveles de la convivencia social.
