Health’s Kitchen

References

1. 1. Andreyeva, T.,
   2. Kelly, R. I., &
   3. Harris, J. L.

   (2011). Exposure to food advertising on television: Associations with children’s fast food and soft drink consumption and obesity. Economics and Human Biology, 9, 221–313.

   OpenUrlCrossRefPubMed
2. 1. Baker, A. C.,
   2. Larcker, D. F., &
   3. Wang, C. C.

   (2022). How much should we trust staggered difference-in-differences estimates? Journal of Financial Economics, 144(2), 370–395.

   OpenUrlCrossRef
3. 1. Baron, J. N.,
   2. & Reiss, P. C

   . (1985). Same time, next year: Aggregate analyses of the mass media and violent behavior. American Sociological Review, 50, 347–363.

   OpenUrlCrossRefWeb of Science
4. 1. Barone, G.,
   2. D’Acunto, F., &
   3. Narciso, G.

   (2015). Telecracy: Testing for channels of persuasion. American Economic Journal: Economic Policy, 7(2), 30–60.

   OpenUrlCrossRef
5. 1. Bertrand, M.,
   2. Duflo, E., &
   3. Mullainathan, S.

   (2004). How much should we trust differences-in-differences estimates? The Quarterly Journal of Economics, 119(1), 249–275.

   OpenUrlCrossRefWeb of Science
6. 1. Bollen, K. A., &
   2. Phillips, D. P.

   (1982). Imitative suicides: A national study of the effects of television news stories. American Sociological Review, 47, 802–809.

   OpenUrlCrossRefPubMedWeb of Science
7. 1. Borusyak, K.,
   2. Jaravel, X., &
   3. Spiess, J.

   (2021). Revisiting event study designs: Robust and efficient estimation. Review of Economic Studies.
8. 1. Bursztyn, L., &
   2. Cantoni, D.

   (2016). A tear in the iron curtain: The impact of Western television on consumption behavior. Review of Economics and Statistics, 98(1), 25–41.

   OpenUrlCrossRef
9. 1. Callaway, B.,
   2. & Sant’Anna, P. H

   . (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200–230.

   OpenUrlCrossRef
10. 1. Cameron, A. C., &
    2. Miller, D. L.

    (2015). A practitioner’s guide to cluster-robust inference. Journal of Human Resources, 50(2), 317–372.

    OpenUrlAbstract/FREE Full Text
11. 1. Carrieri, V., &
    2. Principe, F.

    (2022). Who and for how long? An empirical analysis of the consumers’ response to red meat warning. Food Policy, 108, 102231.

    OpenUrlCrossRef
12. 1. Cawley, J.

    (2015). An economy of scales: A selective review of obesity’s economic causes, consequences, and solutions. Journal of Health Economics, 43, 244–268.

    OpenUrlCrossRefPubMed
13. 1. Cawley, J.

    (2004). The impact of obesity on wages. Journal of Human Resources, 39(2), 451–474.

    OpenUrlAbstract/FREE Full Text
14. 1. Cawley, J., &
    2. Burkhauser, R.

    (2008). Beyond BMI: The value of more accurate measures of fatness and obesity in social science research. Journal of Health Economics, 27(2), 519–529.

    OpenUrlCrossRefPubMedWeb of Science
15. 1. Chong, A., &
    2. Ferrara, E. L.

    (2009). Television and divorce: Evidence from Brazilian novelas. Journal of the European Economic Association, 7(2-3), 458–468.

    OpenUrlCrossRef
16. 1. Chou, S.,
    2. Rashad, I., &
    3. Grossman, M.

    (2008). Fast-food restaurant advertising on television and its influence on childhood obesity. Journal of Law and Economics, 51, 599–618.

    OpenUrlCrossRefWeb of Science
17. 1. Courtemanche, C., &
    2. Carden, A.

    (2011). Supersizing supercenters? The impact of Wal-Mart supercenters on body mass index and obesity. Journal of Urban Economics, 69(2), 165–181.

    OpenUrlCrossRefWeb of Science
18. 1. Courtemanche, C.,
    2. Pinkston, J., &
    3. Stewart, J.

    (2015). Adjusting body mass for measurement error with invalid validation data. Economics & Human Biology, 19, 275–293.

    OpenUrlCrossRefPubMed
19. 1. Dahl, G., &
    2. DellaVigna, S.

    (2009). Does movie violence increase violent crime? The Quarterly Journal of Economics, 124(2), 677–734.

    OpenUrlCrossRefWeb of Science
20. 1. De Backer, C. J., &
    2. Hudders, L.

    (2016). Look who’s cooking. Investigating the relationship between watching educational and edutainment TV cooking shows, eating habits and everyday cooking practices among men and women in Belgium. Appetite, 96, 494–501.

    OpenUrlCrossRefPubMed
21. 1. De Chaisemartin, C., &
    2. d’Haultfoeuille, X.

    (2020). Two-way fixed effects estimators with heterogeneous treatment effects. American Economic Review, 110(9), 2964–2996.

    OpenUrlCrossRef
22. 1. DellaVigna, S., &
    2. Kaplan, E.

    (2007). The Fox News effect: Media bias and voting. The Quarterly Journal of Economics, 122(3), 1187–1234.

    OpenUrlCrossRefWeb of Science
23. 1. DellaVigna, S., &
    2. La Ferrara, E.

    (2015). Economic and social impacts of the media. In Handbook of Media Economics, volume 1, pages 723–768. Elsevier.

    OpenUrlCrossRef
24. 1. Donald, S. G., &
    2. Lang, K.

    (2007). Inference with difference-in-differences and other panel data. The Review of Economics and Statistics, 89(2), 221–233.

    OpenUrlCrossRefWeb of Science
25. 1. Donfrancesco, C.,
    2. Bologna, E.,
    3. Iannucci, L.

    , et al. (2022). Measured vs self-reported overweight/obesity in the Italian adult population: CUORE Project 2018-19. European Journal of Public Health, 32(Supplement 3).
26. 1. Durante, R.,
    2. Pinotti, P., &
    3. Tesei, A.

    (2019). The political legacy of entertainment TV. American Economic Review, 109(7), 2497–2530.

    OpenUrlCrossRef
27. 1. Enikolopov, R.,
    2. Petrova, M., &
    3. Zhuravskaya, E.

    (2011). Media and political persuasion: Evidence from Russia. American Economic Review, 101(7), 3253–3285.

    OpenUrlCrossRef
28. 1. Feilitzen, C., &
    2. Linné, O.

    (1975). Identifying with television characters. Journal of Communication, 25(4), 51–55.

    OpenUrlPubMedWeb of Science
29. 1. Fichera, E., &
    2. von Hinke, S.

    (2020). The response to nutritional labels: Evidence from a quasi-experiment. Journal of Health Economics, 72, 1–17.

    OpenUrl
30. 1. Gentzkow, M., &
    2. Shapiro, J. M.

    (2008). Preschool television viewing and adolescent test scores: Historical evidence from the Coleman study. The Quarterly Journal of Economics, 123(1), 279–323.

    OpenUrlCrossRefWeb of Science
31. 1. Gerber, A. S.,
    2. Karlan, D., &
    3. Bergan, D.

    (2009). Does the media matter? A field experiment measuring the effect of newspapers on voting behavior and political opinions. American Economic Journal: Applied Economics, 1(2), 35–52.

    OpenUrlCrossRefWeb of Science
32. 1. Gerbner, G.,
    2. Gross, L.,
    3. Morgan, M., &
    4. Signorielli, N.

    (1980). The “mainstreaming” of America: Violence profile number 11. Journal of Communication, 30(3), 10–29.

    OpenUrlCrossRefWeb of Science
33. 1. Goodman-Bacon, A.

    (2018). Difference-in-differences with variation in treatment timing. Mimeo.
34. 1. Griffith, R.,
    2. von Hinke, S., &
    3. Smith, S.

    (2018). Getting a healthy start: The effectiveness of targeted benefits for improving dietary choices. Journal of Health Economics, 58, 176–187.

    OpenUrlCrossRefPubMed
35. 1. Hernæs, Ø.,
    2. Markussen, S., &
    3. Røed, K.

    (2019). Television, cognitive ability, and high school completion. Journal of Human Resources, 54(2), 371–400.

    OpenUrlAbstract/FREE Full Text
36. ISTAT. (2016). Italia in cifre: 2015. Istituto Nazionale di Statistica.
37. 1. Kearney, M. S.,
    2. & Levine, P. B

    . (2015). Media influences on social outcomes: The impact of MTV’s 16 and Pregnant on teen childbearing. American Economic Review, 105(12), 3597–3632.

    OpenUrlCrossRefPubMed
38. 1. Kearney, M. S.,
    2. & Levine, P. B

    . (2019). Early childhood education by television: Lessons from Sesame Street. American Economic Journal: Applied Economics, 11(1), 318–350.

    OpenUrlCrossRef
39. 1. La Ferrara, E.,
    2. Chong, A., &
    3. Duryea, S.

    (2012). Soap operas and fertility: Evidence from Brazil. American Economic Journal: Applied Economics, 4(4), 1–31.

    OpenUrl
40. 1. Mastrorocco, N., &
    2. Minale, L.

    (2018). News media and crime perceptions: Evidence from a natural experiment. Journal of Public Economics, 165, 230–255.

    OpenUrlCrossRef
41. 1. Niemelä, R.,
    2. Huotari, K. L., &
    3. Kortelainen, T.

    (2012). Enactment and use of information and the media among older adults. Library & Information Science Research, 34(3), 212–219.

    OpenUrlCrossRef
42. 1. Pecchioni, L. L.,
    2. Wright, K. B., &
    3. Nussbaum, J. F.

    (2005). Mass media and the elderly. In L. Pecchioni, K. Wright, & J. Nussbaum (Eds.), Life-span communication (pp. 227–244). Mahwah, NJ: Lawrence Erlbaum.
43. 1. Powell, L. M.

    (2009). Fast food costs and adolescent body mass index: Evidence from panel data. Journal of Health Economics, 28(5), 963–970.

    OpenUrlCrossRefPubMedWeb of Science
44. 1. Russell, S. J.,
    2. Croker, H., &
    3. Viner, R. M.

    (2019). The effect of screen advertising on children’s dietary intake: A systematic review and meta-analysis. Obesity Reviews, 20(4), 554–568.

    OpenUrlCrossRefPubMed
45. 1. Stubbs, R.,
    2. Van Wyk, M.,
    3. Johnstone, A., &
    4. Harbron, C.

    (1996). Breakfasts high in protein, fat or carbohydrate: Effect on within-day appetite and energy balance. European Journal of Clinical Nutrition, 50(7), 409.

    OpenUrlPubMedWeb of Science
46. World Health Organization. (2014). Global status report on noncommunicable diseases 2014 – Attaining the nine global noncommunicable diseases targets; a shared responsibility. WHO Library Cataloguing-in-Publication Data.