From 7248a07ec1be018b6b9dce5722f00ca44ace3f3f Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Thu, 7 Dec 2023 14:38:16 +0100 Subject: [PATCH] feat(data): Extract Blumenberg2014 --- 02-data/intermediate/SAMPLE.bib | 2 +- 02-data/processed/relevant/Blumenberg2014.yml | 54 +++++++++++++++++++ 02-data/supplementary/lib.bib | 2 +- 3 files changed, 56 insertions(+), 2 deletions(-) create mode 100644 02-data/processed/relevant/Blumenberg2014.yml diff --git a/02-data/intermediate/SAMPLE.bib b/02-data/intermediate/SAMPLE.bib index f81f98c..b608025 100644 --- a/02-data/intermediate/SAMPLE.bib +++ b/02-data/intermediate/SAMPLE.bib @@ -1714,7 +1714,7 @@ might be relevant due to focus on minimum wage policy interventions}, doi = {10.1080/01944363.2014.935267}, urldate = {2023-11-20}, langid = {english}, - keywords = {inequality::income,inequality::spatial,relevant,TODO::full-text,type::experimental}, + keywords = {country::US,done::extracted,inequality::income,inequality::spatial,region::NA,relevant,type::experimental}, file = {/home/marty/Zotero/storage/IE2BQE3Q/Blumenberg_Pierce_2014_A Driving Factor in Mobility.pdf} } diff --git a/02-data/processed/relevant/Blumenberg2014.yml b/02-data/processed/relevant/Blumenberg2014.yml new file mode 100644 index 0000000..4ad6e2c --- /dev/null +++ b/02-data/processed/relevant/Blumenberg2014.yml @@ -0,0 +1,54 @@ +author: Blumenberg, E., & Pierce, G. +year: 2014 +title: A Driving Factor in Mobility? Transportation’s Role in Connecting Subsidized Housing and Employment Outcomes in the Moving to Opportunity (MTO) Program +publisher: Journal of the American Planning Association +uri: https://doi.org/10.1080/01944363.2014.935267 +discipline: development + +country: United States +period: 1994-2001 +maxlength: 84 +targeting: implicit +group: poor women +data: baseline and follow-up survey; + +design: experimental +method: RCT; multinomial regression model +sample: 3199 +unit: household +representativeness: national +causal: 1 # 0 correlation / 1 causal + +theory: +limitations: low levels of explanatory power for individual model outcomes, esp for disadvantaged population groups; possible endogeneity bias through unobserved factors (e.g. human capital) +observation: + - intervention: subsidy (housing mobility) + institutional: 0 + structural: 1 + agency: 0 + inequality: spatial; gender + type: 1 # 0 vertical / 1 horizontal + indicator: 1 # 0 absolute / 1 relative + measures: employment + findings: no relationship between subsidy and employment outcomes; increased employment probability for car ownership; increased employment probability for high transit areas, not increased job gain for moving to high transit area + channels: high transit area employment paradox may be due to inherent difficulty of connecting household to opportunity in dispersed labor market just via access to transit + direction: 0 # 0 = no relationship no direction + significance: 0 # 0 nsg / 1 msg / 2 sg + +notes: 98% of sample is female +annotation: | + A study looking at the effects of a housing mobility intervention in the United States on employment for disadvantaged households, + and comparing its impacts to the ownership of a car for the same sample. + It follows the 'Moving to Opportunity' programme which provided vouchers to randomized households for movement to a geographically unrestricted area or to specifically to a low-poverty area (treatment group), + some of which are in areas with well-connected public transport opportunities. + The sample for the study is made up predominantly of women (98%). + No relationship between programme participation and increased employment probability could be established. + However, a positive relationship exists between owning an automobile and improved employment outcomes for low-income households, + as well as including those households that are located in 'transit-rich' areas. + Access to better transit itself is related to employment probability but not gains in employment - + the authors suggest this reflects individuals' strategic relocation to use public transit for their job. + However, moving to a better transit area itself does not increase employment probability, + perhaps pointing to a certain threshold required in transit extensiveness before it facilitates employment. + Ultimately, the findings suggest the need to further individual acess to automobiles in disadvantaged households or for extensive transit network upgrade which have to cross an efficiency threshold. + Some limitations of the study are its models low explanatory power for individual outcomes, more so among disadvantaged population groups, + as well as some remaining possibility of endogeneity bias through unobserved factors such as individual motivation or ability. diff --git a/02-data/supplementary/lib.bib b/02-data/supplementary/lib.bib index 2c130b3..481ce3f 100644 --- a/02-data/supplementary/lib.bib +++ b/02-data/supplementary/lib.bib @@ -1748,7 +1748,7 @@ might be relevant due to focus on minimum wage policy interventions}, doi = {10.1080/01944363.2014.935267}, urldate = {2023-11-20}, langid = {english}, - keywords = {inequality::income,inequality::spatial,relevant,TODO::full-text,type::experimental}, + keywords = {country::US,done::extracted,inequality::income,inequality::spatial,region::NA,relevant,type::experimental}, file = {/home/marty/Zotero/storage/IE2BQE3Q/Blumenberg_Pierce_2014_A Driving Factor in Mobility.pdf} }