Of Nannies and Nudges: Current State of Obesity Policymaking “Who’s Afraid of the Nanny State?” Rogan Kersh Wake Forest University, USA April 2014 Plan of Presentation O ‘Nanny State’: pejorative frame O Extended case study: Obesity politics/policy O State responses O Retreat: Laissez-faire O Submerge: Invisible policies O Divert: Libertarian-paternalist nudges O Advance: Use state’s coercive powers O Reframe: Emphasize ‘nanny’ positives Obesity: Policy Issue? Slow-Motion Epidemic 1990 1998 2010 No Data <10% 10–14% 15–19% 20–24% 25–29% ≥30% Laissez-Faire State Philosophically familiar “Consumer sovereignty”: frequent US variant Obesity-politics context: personal responsibility Dominant US Political Frame: 2000-06 Still powerful: Lusk/Ellison (2013) What Causes Obesity? (US, 2013) "Primary Cause" 90 80 70 60 50 40 30 20 10 0 Laissez-Faire State Philosophically familiar “Consumer sovereignty”: frequent US variant Obesity-politics context: personal responsibility Dominant US Political Frame: 2000-06 Still powerful: Lusk/Ellison (2013) Competitor, 2007-present: toxic food environment Obesity: 2 Primary Frames Average Soda Size, USA: 1970s-Today 16 oz: late 80s • Personal Responsibility – Dominant, 2000 to ~2006 34 oz: 2000s 20 oz: 1990s 8 oz: 1970s • “Toxic Food Environment” – Increasing post-’06 12 oz: 1980s • More Subtle Variations in recent years Typical Sandwich Size, USA 1980 320 calories Difference: 535 calories Howlong to burn calories: How would 535 you have to bike hour 32 minutes toBike burn for 5351calories? 2013 How calories are in 855 many calories this turkey sandwich? Laissez-Faire State Philosophically familiar Obesity-politics context: personal responsibility Dominant US Political Frame: 2000-06 Still powerful: Lusk/Ellison (2013) Competitor, 2007-present: toxic food environment Submerged State Submerged State: Mettler (2012), builds on others Obesity-politics example: Reformulation Psychological State Libertarian Paternalism: Thaler & Sunstein Canvass of Behavioral Changes: Jones et. al. Obesity-Politics example: Menu Calorie Labeling Menu Calorie Labeling Our Evaluation Study • Does NYC labeling influence fast-food choices of individuals in low-income areas? • “Difference-in-Difference” • Examine calories purchased before/after labeling, in NYC & control city (Newark, NJ) • 2 NYC Studies, 2008: Adults and Children • Follow-up, 2011: Philadelphia (Baltimore/control) Results: Calories Purchased Regression Adjusted Calories • No differences 1000 825.87 600 823.40 Calories 700 846.12 800 824.81 900 500 Pre Post seen in response to labeling by: • Race/Ethnicity • Age • Sex 400 300 • Education 200 100 • “Noticed Info” 0 NYC - Full Sample Newark - Full Sample City But What If… ACA/“Obamacare” Active (Coercive?) State US: interest-group politics (PRFC Act) Elsewhere: more legislative success Which polic(ies) to choose under constraints? Ireland, 2009 obesity-policy recs (as of 2013) Impact/Feasibility Studies Nanny State…Reframed Pejorative… …to Positive: Shift Political Culture US: Millennials/Gen Y Unusual ‘peer networks’ Highly adult-supervised/curated lives Responsive to vital cultural messages/change