How and When to Use the Political Cycle to Identify Advertising Effects

References

• Anderson TW, Rubin H (1949) Estimation of the parameters of a single equation in a complete system of stochastic equations. Ann. Math. Statist. 20(1):46–63.Crossref, Google Scholar
• Andrews I (2016) Conditional linear combination tests for weakly identified models. Econometrica 84(6):2155–2182.Crossref, Google Scholar
• Angrist JD, Imbens GW (1995) Two-stage least squares estimation of average causal effects in models with variable treatment intensity. J. Amer. Statist. Assoc. 90(430):431–442.Crossref, Google Scholar
• Angrist JD, Pischke J-S (2009) Mostly Harmless Econometrics: An Empiricist’s Companion (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Bartik TJ (1991) Who Benefits from State and Local Economic Development Policies? (W. E. Upjohn Institute for Employment Research, Kalamazoo, MI).Crossref, Google Scholar
• Belloni A, Chen D, Chernozhukov V, Hansen C (2012) Sparse models and methods for optimal instruments with an application to eminent domain. Econometrica 80(6):2369–2429.Crossref, Google Scholar
• Berry ST (1994) Estimating discrete-choice models of product differentiation. RAND J. Econom. 25(2):242–262.Crossref, Google Scholar
• Borusyak K, Hull P, Jaravel X (2018) Quasi-experimental shift-share research designs. Preprint, submitted June 4, https://arxiv.org/abs/1806.01221.Google Scholar
• Dubois P, Griffith R, O’Connell M (2018) The effects of banning advertising in junk food markets. Rev. Econom. Stud. 85(1):396–436.Crossref, Google Scholar
• Gandhi A, Houde J-F (2019) Measuring substitution patterns in differentiated products industries. Working Paper 26375, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Goldsmith-Pinkham P, Sorkin I, Swift H (2018) Bartik instruments: What, when, why, and how. NBER Working Paper 24408, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Hartmann WR, Klapper D (2018) Super bowl ads. Marketing Sci. 37(1):78–96.Link, Google Scholar
• Higgins T (2016) No one hates political ads more than car dealers. Bloomberg News (January 8), https://www.bloomberg.com/news/articles/2016-01-08/no-one-hates-political-ads-more-than-car-delaers.Google Scholar
• Li X, Hartmann WR, Amano T (2019) Identification using border approaches and IVs. Preprint, submitted June 19, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3402187.Google Scholar
• Lovett MJ, Peres R, Xu L (2019) Can your advertising really buy earned impressions? The effect of brand advertising on word of mouth. Quant. Marketing Econom. 17(2019):215–255.Google Scholar
• Murry C (2017) Advertising in vertical relationships: An equilibrium model of the automobile industry. Preprint, submitted January 25, http://dx.doi.org/10.2139/ssrn.2549247.Google Scholar
• Olea JLM, Pflueger C (2013) A robust test for weak instruments. J. Bus. Econom. Statist. 31(3):358–369.Crossref, Google Scholar
• Rossi PE (2014) Even the rich can make themselves poor: A critical examination of IV methods in marketing applications. Marketing Sci. 33(5):655–672.Link, Google Scholar
• Shapiro B, Hitsch GJ, Tuchman A (2019) Generalizable and robust TV advertising effects. Preprint, submitted January 20, http://dx.doi.org/10.2139/ssrn.3273476.Google Scholar
• Shapiro BT (2018) Positive spillovers and free riding in advertising of prescription pharmaceuticals: The case of antidepressants. J. Political Econom. 126(1):381–437.Google Scholar
• Sinkinson M, Starc A (2019) Ask your doctor? Direct-to-consumer advertising of pharmaceuticals. Rev. Econom. Stud. 86(2):836–881.Crossref, Google Scholar
• Stock J, Yogo M (2005) Testing for weak instruments in linear IV regression. Andrews DWK, ed. Identification and Inference for Econometric Models (Cambridge University Press, New York), 80–108.Crossref, Google Scholar
• Thomas M (2018) Spillovers from mass advertising: An identification strategy. Preprint, submitted May 31, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3182092.Google Scholar
• Tuchman AE (2019) Advertising and demand for addictive goods: The effects of e-cigarette advertising. Marketing Sci. 38(6):994–1022.Abstract, Google Scholar