<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>6(7)</volume><submitter>Davies T</submitter><funding>Australian Government Research Training Program Scholarship</funding><pubmed_abstract>Fiscal food policies can be used, among others, to minimize the burden of diet-related diseases. To inform the design of such policies in Australia, we used the large grocery-purchasing dataset NielsenIQ Homescan to estimate own-price elasticities and cross-price elasticities for 18 food categories. We found that households were most responsive to changes in price for non-sugar-sweetened beverages and sugar-sweetened beverages: a 10% increase in price was associated with reductions in demand of 15% and 12%, respectively. Additionally, an increase in the price of one category was associated with relatively small changes in the quantity demanded for other categories (that is, 92% of cross-price elasticities had an absolute value &lt;0.2). There were small differences in own-price and cross-price elasticities across socioeconomic quintiles. These price elasticity estimates can be used to model the health and equity impacts of fiscal food policies in Australia.</pubmed_abstract><journal>Nature food</journal><pagination>725-732</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12283402</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Food price elasticity estimates in Australia.</pubmed_title><pmcid>PMC12283402</pmcid><pubmed_authors>Saxena A</pubmed_authors><pubmed_authors>Marklund M</pubmed_authors><pubmed_authors>Davies T</pubmed_authors><pubmed_authors>Wu JHY</pubmed_authors></additional><is_claimable>false</is_claimable><name>Food price elasticity estimates in Australia.</name><description>Fiscal food policies can be used, among others, to minimize the burden of diet-related diseases. To inform the design of such policies in Australia, we used the large grocery-purchasing dataset NielsenIQ Homescan to estimate own-price elasticities and cross-price elasticities for 18 food categories. We found that households were most responsive to changes in price for non-sugar-sweetened beverages and sugar-sweetened beverages: a 10% increase in price was associated with reductions in demand of 15% and 12%, respectively. Additionally, an increase in the price of one category was associated with relatively small changes in the quantity demanded for other categories (that is, 92% of cross-price elasticities had an absolute value &lt;0.2). There were small differences in own-price and cross-price elasticities across socioeconomic quintiles. These price elasticity estimates can be used to model the health and equity impacts of fiscal food policies in Australia.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jul</publication><modification>2026-03-16T05:18:12.095Z</modification><creation>2025-08-15T03:06:29.053Z</creation></dates><accession>S-EPMC12283402</accession><cross_references><pubmed>40646349</pubmed><doi>10.1038/s43016-025-01184-1</doi></cross_references></HashMap>