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Household Expenditure in the Wake of Terrorism: evidence from high frequency in-home-scanner data. (2022). Verdier, Thierry ; Stancanelli, Elena ; Mirza, Daniel.
In: PSE Working Papers.
RePEc:hal:psewpa:halshs-03659739.

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  1. British Voting Intentions and the Far Reach of 11 September Terrorist Attacks in New York. (2023). , Elena.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp16120.

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  17. Daily sweets expenditure, residuals −30 30 0 −14 14 days elapsed since Friday 14 November 2014 −1 −.5 0 .5 1
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  18. Daily sweets expenditure, residuals −30 30 0 −14 14 days elapsed since Friday 15 November 2013 −.5 0 .5 Daily expenditure salty snacks and soda drinks, residuals −30 30 −14 14 0
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  19. days elapsed since Friday 13 November 2015 −.5 0 .5 Daily expenditure salty snacks and soda drinks, residuals −30 30 −14 14 0
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  20. days elapsed since Friday 13 November 2015 −1 −.5 0 .5 1
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  21. days elapsed since Friday 13 November 2015 1 1.5 2 2.5 3 Junk−food expenditure −30 30 −21 21 −14 14 −7 7 0
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  22. days elapsed since Friday 13th November 2015 1.5 2.5 3.5 4.5 5.5 Daily expenditure on sweets −30 30 −20 20 −10 10 0
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  23. days elapsed since Friday 14 November 2014 −.5 0 .5 Daily expenditure salty snacks and soda drinks, residuals −30 30 0 −14 14 days elapsed since Friday 15 November 32 Figure 4. RDD estimates of daily expenditure on women’s personal hygiene products, home maintenance goods and total daily expenditure, before and after the 2015 Bataclan attack and its counterfactuals in 2013 and 2014.
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  24. days elapsed since Friday 14 November 2014 1 1.5 2 2.5 3 Junk−food expenditure −30 30 −21 21 −14 14 −7 7 0
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  25. days elapsed since Friday 14 November 2014 1.0 2.7 1.5 2.0 2.5 Daily expenditure on junk food −30 30 0 −10 10 −20 20 days elapsed since Friday 15 November 42 Figure E. Total daily expenditure on home maintenance products and women’s personal hygiene products, before and after the 2015 Bataclan attack and the counterfactuals in 2013 and 2014.
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  26. days elapsed since Friday 14th November 2014 1.5 2.5 3.5 4.5 5.5 Daily expenditure on sweets −30 30 0 −20 20 −10 10 days elapsed since Friday 15th November 2013 1.0 1.5 2.0 2.52.7 Daily expenditure on junk food −30 30 0 −20 20 −10 10 days elapsed since Friday 13 November 2015 1.0 1.5 2.0 2.7 2.5 Daily expenditure on junk food −30 30 −20 20 −10 10 0
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  27. days elapsed since Friday 15 November 44 Figure G. Non-parametric RDD estimates of daily expenditure on home maintenance products and women’s personal hygiene goods before and after the 2015 Bataclan attack and its counterfactuals in 2013 and 2014, respectively.
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  30. Expenditure on sweets −30 30 0 −20 −10 10 20 days elapsed since Friday 13 November 2015 2 3 4 5 6
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  31. Expenditure on sweets −30 30 0 −20 −10 10 20 days elapsed since Friday 15 November 2013 1 1.5 2 2.5 3 Junk−food expenditure −30 30 −21 21 −14 14 −7 7 0
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  33. Google searches for the word anxiolytic 2013 2014 2015 2015 Bataclan attack 40 Figure C. Household non-durable consumption monthly expenditure in 2014. The Kantar data are monthly averages from the high-frequency expenditure data described in Section 2, while the INSEE data are adjusted monthly estimates taken from INSEE online statistics. 40 42 44 46 48 50 52 54 56 J a n u a r y F e b r u a r y M a r c h A p r i l M a y J u n e J u l y A u g u s t S e p t e m b e r O c t o b e r N o v e m b e r D e c e m b e r
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  38. INSEE Kantar 41 Figure D. Total daily expenditure and daily expenditure on sweets or salty snacks and soda drinks (labelled ‘junk food’), before and after the 2015 Bataclan attack and the counterfactual Bataclan attack in earlier years (2014 and 2013).
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  48. RDD-Differences-in-Differences estimates using 2014 and 2013 as counterfactual years.
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  49. RDD-Differences-in-Differences estimates using 2014 and 2013 as counterfactual years.
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  50. RDD-Differences-in-Differences estimates using 2014 and 2013 as counterfactual years.
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  51. RDD-Differences-in-Differences estimates using 2014 and 2013 as counterfactual years.
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  52. RDD-Differences-in-Differences estimates using 2014 and 2013 as counterfactual years.
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  56. Salty snacks Home Women's and maintenance Personal soda drinks Sweets products Hygiene Means month before 0.639 0.456 0.318 0.057 Dummy Bataclan * 2015-0.00127 0.00614 0.0102 0.0103*** (0.00772) (0.00984) (0.0107) (0.00338) Households 15056 15056 15056 15056 Observations 388,869 388,869 388,869 388,869 R squared 0.267 0.201 0.139 0.134 The models estimated are linear probability models specified as in Equation 1, Section 3. *** denotes statistical significance at the 1% level, ** at the 5% level, and * at the 10% level. Table 5. Results of estimation using aggregated weekly data and four weeks bandwidth.
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  57. Salty snacks Home Women's Total and maintenance personal Expenditure soda drinks Sweets products Hygiene Means month before 103.35 4.2 6.97 4.899 0.444 Dummy Bataclan * 2015 4.253*** -0.131 0.584*** 0.621*** 0.167*** (1.543) (0.128) (0.160) (0.195) (0.0313) Households 15,028 15,028 15,028 15,028 15,028 Observations 194,951 194,951 194,951 194,951 194,951 R squared 0.389 0.310 0.297 0.195 0.216 The models estimated are as in Equation 1, Section 3, as in our preferred specification, 1b in Table 1. Data for the 2015 Bataclan week and the counterfactual Bataclan weeks in 2013 and 2014 are not included in the estimation sample. *** denotes statistical significance at the 1% level, ** at the 5% level, and * at the 10% level. 36 Table 6. Heterogenous results by household composition and income.
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  58. Stone, Arthur, A. and Kelly D. Brownell. 1994. “The stress eating paradox: Multiple daily measurements in adult males and females”. Psychology and Health, 9(6), 425-436.
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  60. The dots are the raw data means of the three outcomes while the lines are linearly interpolated through triangular kernel estimates of the residuals from linear regressions of each outcome on household characteristics and fixed effects for day-of-the-week, month, and municipality of residence, to control for the high variability of expenditure. The dashed lines are the 95% confidence intervals around these estimates. Kernel estimates of the raw data are given in the Appendix. The RDD-DD estimates are provided in Table 1. −.1 −.05 0 .05 .1 Daily expenditure women’s personal hygiene products, residuals −30 30 0 −14 14 days elapsed since Friday 13 November 2015 −.1 −.05 0 .05 .1 Daily expenditure on women’s personal hygiene products, residuals −30 30 −14 14 0
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  61. The dots are the raw data means, while the lines are linearly interpolated through triangular kernel estimates ((without any controls or fixed effects) and the dashed lines are the 95% confidence intervals around these estimates. . 30 40 50 60 Total daily expenditure −30 30 0 −20 −10 10 20 days elapsed since Friday 13 November 2015 30 40 50 60 Total daily expenditure −30 30 0 −20 −10 10 20 days elapsed since Friday 14 November 2014 30 40 50 60 Total daily expenditure −30 30 0 −20 −10 10 20 days elapsed since Friday 15 November 2013 2 3 4 5 6
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  62. The vertical lines are drawn on the day corresponding to the Bataclan attack (Friday 13th November 2015) and its counterfactual days in the earlier years (respectively, Friday 14 November 2014 and Friday 15 November 2013).
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  63. The vertical lines are drawn on the day corresponding to the Bataclan attack (Friday 13th November 2015) and its counterfactual days in the earlier years (respectively, Friday 14 November 2014 and Friday 15 November 2013). The dots are the raw data means (most bottom dots depict Sunday shopping), while the lines are linearly interpolated through triangular kernel estimates. There is no significant discontinuity at the cut-off, with the relevant statistics being, respectively, equal to 118.58 with a standard error of 670.86 for 2015, 149.06 with a standard error of 657.8633 for 2014, and 132.43 with a standard error of 664.35 for 2013. Figure 2. Continuity of the explanatory variables before and after the Bataclan attack and the counterfactual days in earlier years.
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  64. The zero corresponds to the Bataclan attack (Friday 13th November) in 2015 and its counterfactual days in the earlier years (respectively, Friday 14 November 2014 and Friday 15 November 2013). The dots are the daily averages of the raw data points. The lines are linearly interpolated through the raw data. 0.8 1.1 1.4 1.6 1.9 Daily expenditure on home cleaning products −30 30 −10 10 −20 20 0
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  65. The zero corresponds to the Bataclan attack (Friday 13th November) in 2015 and its counterfactual days in the earlier years (respectively, Friday 14 November 2014 and Friday 15 November 2013). The dots are the daily averages of the raw data points. The lines are linearly interpolated through the raw data. 30 60 40 50 60 Total daily expenditure, deflated −30 30 0 −10 10 −20 20 days elapsed since Friday 13th November 2015 30 40 50 60 Total daily expenditure, deflated −30 30 0 −10 10 −20 20 days elapsed since Friday 14th November 2014 30 40 50 60 Total daily expenditure, deflated −30 30 0 10 −10 20 −20 days elapsed since Friday 15th November 2013 1.5 2.5 3.5 4.5 5.5 Daily expenditure on sweets −30 30 −20 20 −10 10 0
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  66. Tsai Alexander C., and Atheendar S. Venkataramani. 2015. “Communal Bereavement and Resilience in the Aftermath of a Terrorist Event: Evidence from a Natural Experiment.” Social Science and Medicine, 146, 155-163. 29 Tsukashima, Ronald Tadao, and Darrel Montero. 1976. “The Contact Hypothesis: Social and Economic Contact and Generational Changes in the Study of Black Anti-Semitism.” Social Forces 55 (1), 149-65.
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  67. Viscusi, W. Kip. 2009. “Valuing Risks of Death from Terrorism and Natural Disasters”, Journal of Risk and Uncertainty, 38, 191-213.

  68. Yau Yvonne H.C. and Marc N. Potenza. 2013. “Stress and Eating Behaviors”. Minerva Endocrinol,38(3), 255-267. 30 Figure 1. Continuity of the shopping data before and after the Bataclan attack, and its counterfactual days in the earlier years.
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  30. Children of War: In-Utero Stress and Child Health in Iraq. (2019). Sardoschau, Sulin.
    In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
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  31. Social Interventions, Health and Wellbeing: The Long-Term and Intergenerational Effects of a School Construction Program. (2019). Rosales-Rueda, Maria ; Mazumder, Bhashkar ; Triyana, Margaret.
    In: Working Paper Series.
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  32. Terrorism and early childhood health outcomes: Evidence from Pakistan. (2019). Ray, Arijit ; Khalil, Umair ; Grossman, Daniel .
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    RePEc:eee:socmed:v:237:y:2019:i:c:7.

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  33. Maternal employment and child health in Nepal: The importance of job type and timing across the childs first five years. (2019). Ghimire, Dirgha ; Baird, Sarah ; Brauner-Otto, Sarah .
    In: Social Science & Medicine.
    RePEc:eee:socmed:v:224:y:2019:i:c:p:94-105.

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  34. Long commutes to work during pregnancy and infant health at birth. (2019). Yang, Muzhe ; Wang, Yang.
    In: Economics & Human Biology.
    RePEc:eee:ehbiol:v:35:y:2019:i:c:p:1-17.

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  35. Maternal Stress and Birth Outcomes: Evidence from an Unexpected Earthquake Swarm. (2019). Stillman, Steven ; Menclova, Andrea.
    In: Working Papers in Economics.
    RePEc:cbt:econwp:19/15.

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  36. Red Alert: Prenatal Stress and Plans to Close Military Bases. (2018). Carlson, Kyle .
    In: American Journal of Health Economics.
    RePEc:tpr:amjhec:v:4:y:2018:i:3:p:287-320.

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  37. Life Course Consequences of Low Birth Weight: Evidence from Japan. (2018). Yamada, Hiroyuki ; Shimizutani, Satoshi ; Matsushima, Midori.
    In: Keio-IES Discussion Paper Series.
    RePEc:keo:dpaper:2018-008.

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  38. Life course consequences of low birth weight: Evidence from Japan. (2018). Shimizutani, Satoshi ; Yamada, Hiroyuki ; Matsushima, Midori.
    In: Journal of the Japanese and International Economies.
    RePEc:eee:jjieco:v:50:y:2018:i:c:p:37-47.

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  39. Evaluating the effects of a targeted home visiting program on maternal and child health outcomes. (2018). Sandner, Malte ; Herrmann, Peggy ; Jungmann, Tanja ; Cornelissen, Thomas.
    In: Journal of Health Economics.
    RePEc:eee:jhecon:v:58:y:2018:i:c:p:269-283.

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  40. Fetal Exposure to Abnormal Rainfall Events and Later-Life Outcomes in Colombia. (2018). Carrillo, B.
    In: 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia.
    RePEc:ags:iaae18:277372.

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  41. .

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  42. Multi-generational Impacts of Childhood Access to the Safety Net: Early Life Exposure to Medicaid and the Next Generation’s Health. (2017). Page, Marianne ; Miller, Sarah ; East, Chloe ; Wherry, Laura R.
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  43. The Effect of Stress on Later-Life Health: Evidence from the Vietnam Draft. (2017). de Walque, Damien ; Cawley, John ; Grossman, Daniel .
    In: NBER Working Papers.
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  44. Childhood Circumstances and Adult Outcomes: Act II. (2017). Currie, Janet ; Almond, Douglas ; Duque, Valentina.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:23017.

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  45. Evaluating the Effects of a Targeted Home Visiting Program on Maternal and Child Health Outcomes. (2017). Sandner, Malte ; Cornelissen, Thomas ; Herrmann, Peggy ; Jungmann, Tanja .
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp10715.

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  46. Maternal Socio-Economic Status and the Well-Being of the Next Generation(s). (2017). Buckles, Kasey.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp10714.

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  47. Childhood Circumstances and Adult Outcomes: Act II. (2017). Currie, Janet ; Almond, Douglas ; Duque, Valentina.
    In: Working Papers.
    RePEc:hka:wpaper:2017-082.

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  48. Evaluating the Effects of a Targeted Home Visiting Program on Maternal and Child Health Outcomes. (2017). Sandner, Malte ; Cornelissen, Thomas ; Herrmann, Peggy ; Jungmann, Tanja .
    In: Working Papers.
    RePEc:hka:wpaper:2017-031.

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  49. Effects of state-level Earned Income Tax Credit laws in the U.S. on maternal health behaviors and infant health outcomes. (2017). Markowitz, Sara ; Wagenaar, Alexander C ; Lenhart, Otto ; Livingston, Melvin D ; Komro, Kelli A.
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  50. Long-run Consequences of Exposure to Natural Disasters. (2016). Wray, Anthony ; Karbownik, Krzysztof.
    In: Discussion paper series.
    RePEc:hit:hiasdp:hias-e-36.

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