2008
DOI: 10.2139/ssrn.1520586
|View full text |Cite
|
Sign up to set email alerts
|

Monument Protection: Internal and External Price Effects

Abstract: We use transaction data to test for price differentials between listed and nonlisted properties and to study their impact on surrounding property prices. Proximity to built heritage is captured by distance to listed houses and indicators capturing neighborhoods with built heritage. Impact is assessed by applying a hedonic model to micro-level data and a non-parametric approach to location. While our findings suggest that listed properties do not sell at a premium or discount, heritage-listed buildings are foun… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
4
0

Year Published

2008
2008
2020
2020

Publication Types

Select...
6

Relationship

5
1

Authors

Journals

citations
Cited by 33 publications
(5 citation statements)
references
References 39 publications
1
4
0
Order By: Relevance
“…These effects are difficult to separate, in particular since some of the driving forces point to opposite directions. Our results so far suggest 17 According to HALVORSEN & PALMQUIST (1980), the percentage impact in semi-log models corresponding to a parameter estimate b may be approximated by (exp(b) -1)*100. 18 Both Akaike and Schwarz criteria as well as adjusted R 2 reject alternative specifications (500 m, 1.5 km, 2 km) in favor of the 1 km model.…”
Section: Counterfactual Scenariosupporting
confidence: 50%
See 1 more Smart Citation
“…These effects are difficult to separate, in particular since some of the driving forces point to opposite directions. Our results so far suggest 17 According to HALVORSEN & PALMQUIST (1980), the percentage impact in semi-log models corresponding to a parameter estimate b may be approximated by (exp(b) -1)*100. 18 Both Akaike and Schwarz criteria as well as adjusted R 2 reject alternative specifications (500 m, 1.5 km, 2 km) in favor of the 1 km model.…”
Section: Counterfactual Scenariosupporting
confidence: 50%
“…The coefficient on KUarea, a dummy denoting areas within a 1000 m radius from Breitscheidplatz, indicates a relative increase in land values up to approximately 159%. 17 As suggested by the coefficient on the interactive term between KUarea and distance to Breitscheidplatz (distKU), the effect diminishes with distance and disappears after 1 km or so. 18 These results confirm the conventional wisdom on the emergence of a strong sub-center at the location which is today known under the label "City-West".…”
Section: Tab 8 Marginal Value Of Travel Timementioning
confidence: 99%
“…Different researchers have used HPMs to examine the effects of various housing attributes on property prices. Such attributes include; property management (Hui et al 2011), land-use policies (Song and Knaap 2004), urban redevelopment (Ki and Wadu 2010), transportation (Atkinson-Palombo 2010; Bartholomew and Ewing 2011;Duncan 2011), urbanism (Tu and Eppli 2001), sports amenities (Tu 2005), architectural design (Plaut and Uzulena 2005), historic monuments (Ahlfeldt and Maennig 2008) and green features (Wadu and Sze Man 2013). HMP can analyse implicit relationships between the commodity and its characteristics (Freeman 1981).…”
Section: Hedonic Price Model (Hpm)mentioning
confidence: 99%
“…The process of eviction towards the western region of Rio de Janeiro, an area characterized by poor infrastructure, results in increased transportation costs 16 from home to work for the evicted persons and promotes spatial mismatch 17 properties inappropriate for housing. The qualitative deficit is characterized by the lack of basic infrastructure such as water supply, sanitary sewage, waste disposal or absence of bathroom.…”
Section: Fig 41 Map Of Evictions From the Interventions Related To mentioning
confidence: 99%