The effect of tobacco expenditure on expenditure shares in South African households : a genetic matching approach

dc.contributor.authorChelwa, Grieve
dc.contributor.authorKoch, Steven F.
dc.date.accessioned2020-07-14T10:22:01Z
dc.date.available2020-07-14T10:22:01Z
dc.date.issued2019-09-06
dc.descriptionS1 Fig. Densities of household income and expenditure after one-to-one genetic matching for Quartile 1. Panel (a) illustrates the density for the natural log of household income after matching. Panel (b) does the same for the natural log of household expenditure net of tobacco purchases.en_ZA
dc.descriptionS2 Fig. Densities of household income and expenditure after one-to-one genetic matching for Quartile 2. Panel (a) illustrates the density for the natural log of household income after matching. Panel (b) does the same for the natural log of household expenditure net of tobacco purchases.en_ZA
dc.descriptionS3 Fig. Densities of household income and expenditure after one-to-one genetic matching for Quartile 3. Panel (a) illustrates the density for the natural log of household income after matching. Panel (b) does the same for the natural log of household expenditure net of tobacco purchases.en_ZA
dc.descriptionS4 Fig. Densities of household income and expenditure after one-to-one genetic matching for Quartile 4. Panel (a) illustrates the density for the natural log of household income after matching. Panel (b) does the same for the natural log of household expenditure net of tobacco purchases.en_ZA
dc.descriptionS1 Table. Descriptive statistics before matching for Quartile 1 2010.en_ZA
dc.descriptionS2 Table. Descriptive statistics after matching for Quartile 1 2010.en_ZA
dc.descriptionS3 Table. Descriptive statistics before matching for Quartile 2 2010.en_ZA
dc.descriptionS4 Table. Descriptive statistics after matching for Quartile 2 2010.en_ZA
dc.descriptionS5 Table. Descriptive statistics before matching for Quartile 3 2010.en_ZA
dc.descriptionS6 Table. Descriptive statistics after matching for Quartile 3 2010.en_ZA
dc.descriptionS7 Table. Descriptive statistics before matching for Quartile 4 2010.en_ZA
dc.descriptionS8 Table. Descriptive statistics after matching for Quartile 4 2010.en_ZA
dc.description.abstractThis paper examines whether tobacco expenditure leads to the crowding out or crowding in of different expenditure items in South Africa. We apply genetic matching to expenditure quartiles of the 2010/2011 South African Income and Expenditure Survey. Genetic matching is a more appealing approach for dealing with the endogeneity of tobacco expenditure that often plagues studies using systems of demand equations. Further, genetic matching provides transparent measures of covariate balance giving the analyst objective means of assessing match success. We find that the poorest tobacco consuming households in South Africa consistently allocate smaller budget shares towards food items than non-smoking households. Specifically, we find that dairy, fruits, nuts and oils are displaced in favour of tobacco expenditure in the two poorest quartiles. Unsurprisingly, food items are never displaced for households in the top two quartiles, given these households’ greater access to resources. Like other studies in the literature, we find that tobacco expenditure consistently crowds-in alcohol across all quartiles confirming the strong complementarities between the two.en_ZA
dc.description.departmentEconomicsen_ZA
dc.description.librarianhj2020en_ZA
dc.description.sponsorshipInternational Development Research Center and Economic Research Southern Africaen_ZA
dc.description.urihttp://journals.plos.org/plosoneen_ZA
dc.identifier.citationChelwa G., Koch S.F. The effect of tobacco expenditure on expenditure shares in South African households: A genetic matching approach. PLoS One 2019, 14(9): e0222000. https://DOI.org/10.1371/journal.pone.0222000.en_ZA
dc.identifier.issn1932-6203 (online)
dc.identifier.other10.1371/journal.pone.0222000
dc.identifier.urihttp://hdl.handle.net/2263/75209
dc.language.isoenen_ZA
dc.publisherPublic Library of Scienceen_ZA
dc.rights© 2019 Chelwa, Koch. This is an open access article distributed under the terms of the Creative Commons Attribution License.en_ZA
dc.subjectTobacco expenditureen_ZA
dc.subjectSouth Africa (SA)en_ZA
dc.subjectGenetic matchingen_ZA
dc.titleThe effect of tobacco expenditure on expenditure shares in South African households : a genetic matching approachen_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 5 of 13
Loading...
Thumbnail Image
Name:
Chelwa_Effect_2019.pdf
Size:
552.7 KB
Format:
Adobe Portable Document Format
Description:
Article
Loading...
Thumbnail Image
Name:
Chelwa_EffectFigS1_2019.pdf
Size:
110.81 KB
Format:
Adobe Portable Document Format
Description:
Figure S1
Loading...
Thumbnail Image
Name:
Chelwa_EffectFigS2_2019.pdf
Size:
112 KB
Format:
Adobe Portable Document Format
Description:
Figure S2
Loading...
Thumbnail Image
Name:
Chelwa_EffectFigS3_2019.pdf
Size:
108.92 KB
Format:
Adobe Portable Document Format
Description:
Figure S3
Loading...
Thumbnail Image
Name:
Chelwa_EffectFigS4_2019.pdf
Size:
110.29 KB
Format:
Adobe Portable Document Format
Description:
Figure S4

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: