scholarly journals The Impact of a Mass Rapid Transit System on Neighborhood Housing Prices: An Application of Difference-In-Difference and Spatial Econometrics

2020 ◽  
Vol 28 (1) ◽  
pp. 28-40 ◽  
Author(s):  
Lee Chun-Chang ◽  
Liang Chi-Ming ◽  
Hong Hui-Chuan
Keyword(s):  
Housing Prices ◽  
Urban Traffic ◽  
Control Group ◽  
Rapid Transit ◽  
Difference In Difference ◽  
Spatial Error ◽  
Transit System ◽  
Interaction Variable ◽  
The Impact ◽  
Mass Rapid Transit

AbstractThis study discusses the impact of the mass rapid transit (MRT) system’s construction and operation on neighborhood housing prices. Estimations were conducted by considering the spatial dependence of housing prices and using a difference-in-difference (DD) method that incorporated the spatial lag model and spatial error model. The empirical results indicated that the coefficient of the interaction variable of the MRT’s range of influence and commencement time of construction was -0.079, reaching the 10% significance level. Hence, when MRT construction began, housing prices in the experimental group decreased by 7.9% as compared to the control group. A possible reason for these findings is that the “dark age” of urban traffic, air pollution, and noise brought about by MRT construction negatively affected housing prices. With regard to MRT operations, the coefficient of the interaction variable of the MRT’s influence range and service commencement time did not reach the level of significance, indicating that housing prices within the MRT’s influence range were not significantly affected when the MRT’s service began. This might be due to the fact that the psychological expectations of the increase in housing prices had already been realized during the planning, announcement, and construction phases.

scholarly journals A new Mass Rapid Transit (MRT) line construction and housing wealth: Evidence from the Circle Line

2017 ◽  
Vol 1 (1) ◽  
pp. 64 ◽  
Author(s):  
Mi Diao ◽  
Yi Fan ◽  
Tien Foo Sing
Keyword(s):  
House Prices ◽  
Phase 1 ◽  
Housing Prices ◽  
Wealth Effects ◽  
Housing Wealth ◽  
Rapid Transit ◽  
Treatment Zone ◽  
Housing Wealth Effects ◽  
The Impact ◽  
Mass Rapid Transit

This study uses the opening of the new Mass Rapid Transit (MRT) in stages between 2010 and 2012 in Singapore as the exogenous event to empirically test the impact of the new Circle Line (CL) on housing wealth. Applying a "differences-in-differences" approach to the non-landed private housing transaction data covering the period from 2009 to 2013, we find that the average housing prices increase by 1.6% in the post-opening of the CL. We find significant capitalization of the new CL into housing prices, especially households living within a 400-meter radius (the treatment zone) from the closest MRT stations on the CL. The treatment effects that are measured by the “marginalwillingness to pay” for houses located within the treatment zone is 13.2% relative to houses located outside the treatment zone. The new CL opening creates an estimated S$1.23 billion housing wealth effects for households living in close proximity to the CL MRT stations. However, we do not find significant "anticipative" effects on house prices in the six-month window prior to the opening of CL. The strongest treatment effect is found after the opening of the phase 1 of CL, and the treatment intensity declines in phases 2 and 3 of the CL opening.

Slums of Chennai around the Buckingham Canal - with special reference to Govindaswamy Nagar

2018 ◽  
Vol 2 (2) ◽  
pp. 15
Author(s):  
Dr. B Jishamol
Keyword(s):  
Special Reference ◽  
Urban Poor ◽  
Tamil Nadu ◽  
Critical Issue ◽  
The Other ◽  
Rapid Transit ◽  
Transit System ◽  
Economic Issues ◽  
Slum Dwellers ◽  
Mass Rapid Transit

Buckingham Canal bank was an important water - way of old Madras. It has been facing slow death due to many reasons such as encroachments by various constructions like MRTS (The Mass Rapid Transit System is popularly called MRTS), and also the Urban poor, the slum dwellers. The slum dwellers face various problems like, flooding, insanitary conditions, health and socio-economic issues. One of the major issue is the eviction process. In this link, the Elango Street of Govindaswamy Nagar has been allotted by the Tamil Nadu Slum Clearance Board based on G.O.Ms.No 163 Housing (F) Department, Dated 28.02.1973. Elango Street escapes all the natural problems the other slums are facing, but it is expected to be evicted. This critical issue made the researcher to compare Elango Street of Govindaswamy Nagar with the other slums on the banks of Central Buckingham Canal.

Impact of Medicaid expansion on pancreatic cancer care: A difference-in-difference analysis.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18567-e18567
Author(s):  
Ahmad Hamad ◽  
Mariam Eskander ◽  
Yaming Li ◽  
Oindrila Bhattacharyya ◽  
James L Fisher ◽  
...  
Keyword(s):  
Low Income ◽  
Early Stage ◽  
Ductal Adenocarcinoma ◽  
Control Group ◽  
Medicaid Expansion ◽  
Difference In Difference ◽  
Post Surgery ◽  
Number Of Patients ◽  
The Impact ◽  
Expansion Period

e18567 Background: The Affordable Care Act (ACA) increased insurance coverage for low-income individuals, which should potentially lead to better access to care and improved oncological outcomes. This study seeks to evaluate the impact of Medicaid expansion (ME) on care for pancreatic ductal adenocarcinoma (PDAC). Methods: Patients who were uninsured or on Medicaid and diagnosed with PDAC between 2004 and 2017 were queried from the National Cancer Database (NCDB). Two different expansion cohorts were included: early expansion states and 2014 expansion states. For early expansion states, the time period of pre-expansion was 2004-2009 and post-expansion was 2010-2017. As for the 2014 expansion states, the pre-expansion period was from 2004-2013 and post-expansion period was from 2014-2017. Patients in non-expansion states formed the control group. A difference-in-difference (DID) analysis was used to assess the association of ME with stage of diagnosis, treatment and survival for each expansion cohort. Results: In both early and January 2014 expansion states, there was an increase in overall Medicaid coverage (Early: DID = 0.29, 2014: DID = 0.37; P < 0.001), in particular for non-Hispanic Black and Hispanic Black patients (Non-Hispanic Black: Early: DID = 0.11, 2014: DID = 0.11; P < 0.001, Hispanic-Black: 2014: DID = 0.20; P = 0.003). There were no differences in early stage diagnosis (Early: DID = 0.02, 2014: DID = -0.02; P > 0.05). There was an increase in the number of patients receiving surgery (Early: DID = 0.05; P = 0.001, 2014: DID = 0.03; P = 0.029) but no difference in time to surgery among patients receiving surgery upfront (Early: DID = 1.75, 2014: DID = 0.38; P > 0.05). There was no difference in 30-day readmission post-surgery (Early: DID = 0.003; 2014: DID = -0.00007; P > 0.05) or 90-day mortality (Early: DID = -0.007, 2014: DID = -0.035; P > 0.05). Moreover, there was no difference in receipt of chemotherapy (Early: DID = 0.01, 2014: DID = 0.005; P > 0.05) or time to chemotherapy for patients receiving neoadjuvant chemotherapy (Early: Early: DID = 9.62, 2014: DID = 0.01; P > 0.05). Finally, there was no difference in receipt of palliative care among stage IV patients in both cohorts (Early: DID = -0.004, 2014: DID = 0.004; P > 0.05). Conclusions: This study suggests that after ME, PDAC patients were more likely to be insured and had increased access to surgical care. Future, studies should evaluate the implications of improved surgical access on clinical outcomes such as mortality.

scholarly journals Impact of Decreased Night Work on Workers’ Musculoskeletal Symptoms: A Quasi-Experimental Intervention Study

2020 ◽  
Vol 17 (23) ◽  
pp. 9092
Author(s):  
Hye-Eun Lee ◽  
Min Choi ◽  
Hyoung-Ryoul Kim ◽  
Ichiro Kawachi
Keyword(s):  
Musculoskeletal Pain ◽  
Night Shift ◽  
Night Work ◽  
Musculoskeletal Symptoms ◽  
Control Group ◽  
Body Parts ◽  
Difference In Difference ◽  
Post Intervention ◽  
Shift Workers ◽  
The Impact

A possible association between night shift work and musculoskeletal disorder has been suggested. This study aimed to evaluate the impact of decreased night work on musculoskeletal pain. Difference-in-difference estimation was used to compare changes in musculoskeletal pain between shift workers (N = 122) and non-shift workers (N = 170) in a manufacturing company before and after the introduction of a new shift system eliminating overnight work. Musculoskeletal pain was measured by a questionnaire asking if workers had symptoms in specific body parts, including the neck, shoulder, arm/elbow, wrist/hand, back, and leg/foot, over the past year. Generalized estimating equation models were used to estimate changes in pre- versus post-intervention musculoskeletal pain rates between the treated and control group. In the difference-in-difference (DID) models, prevalence of musculoskeletal pain for shoulder (−10.3%), arm (−12.9%), all sites combined (−9.2%), and upper extremity combined (−14.8%) showed significant decreases from pre- to post-intervention among the treated group (shift workers) compared to the control group (non-shift workers) after controlling for age and weekly working hours. Decreasing night work was related to improvement in musculoskeletal pain in shift workers.

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