References
- Anderson T., & Hsiao C. (1981). Estimation of dynamic models with error components. Journal of the American Statistical Association, 76, 598–606. https://doi.org/10.1080/01621459.1981.10477691
- Arellano M., & Bond S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–298. https://doi.org/10.2307/2297968
- Bell D. R., & Song S. (2007). Neighborhood effects and trial on the internet: Evidence from online grocery retailing. Quantitative Marketing and Economics, 5, 361–400. https://doi.org/10.1007/s11129-007-9025-5
- Berry S., Levinsohn J., & Pakes A. (1995). Automobile prices in market equilibrium. Econometrica, 63(4), 841–890. https://doi.org/10.2307/2171802
- Bollinger B., & Gillingham K. (2012). Peer effects in the diffusion of solar photovoltaic panels. Marketing Science, 31(6), 900–912. https://doi.org/10.1287/mksc.1120.0727
- Brock W., & Durlauf S. (2001). Discrete choice with social interactions. Review of Economic Studies, 68(2), 235–260. https://doi.org/10.1111/1467-937X.00168
- Heckman J. (1979). Sample selection bias as a specification error. Econometrica, 47(1), 153–161. https://doi.org/10.2307/1912352
- Iyengar R., Van den Bulte C., & Valente T. (2011). Opinion leadership and social contagion in new product diffusion. Marketing Science, 30(2), 195–212. https://doi.org/10.1287/mksc.1100.0566
- Keane M. (1994). A computationally practical simulation estimator for panel data. Econometrica, 62(1), 95–116. https://doi.org/10.2307/2951477
- Manchanda P., Xie Y., & Youn R. (2008). The role of targeted communication and contagion in product adoption. Marketing Science, 27(6), 961–976. https://doi.org/10.1287/mksc.1070.0354
- Manski C. (1993). Identification of endogenous social effects: the reflection problem. Review of Economic Studies, 60(3), 531–542. https://doi.org/10.2307/2298123
- Moffitt R. (2001). Policy interventions, low-level equilibria, and social interactions. In S. Durlauf, P. Young (Eds.), Social dynamics (pp. 45–82). The MIT Press.
- Nair H., Manchanda P., & Bhatia T. (2010). Asymmetric social interactions in physician prescription behavior: the role of opinion leaders. Journal of Marketing Research, 47(5), 883–895. https://doi.org/10.1509/jmkr.47.5.883
- Narayanan S., & Nair H. (2013). Estimating causal installed-Base effects: A bias-Correction approach. Journal of Marketing Research, 50(1), 70–94. https://doi.org/10.1509/jmr.11.0183
- Park M. (2019). Selection bias in estimation of peer effects in product adoption. Journal of Choice Modelling, 30, 17–27. https://doi.org/10.1016/j.jocm.2018.11.001
- Park M. (2020). Estimating installed-base effects in product adoption: borrowing IVs from the dynamic panel data literature. Journal of Choice Modelling, 37, 100247. https://doi.org/10.1016/j.jocm.2020.100247
- Tucker C. (2008). Identifying formal and informal influence in technology adoption with network externalities. Marketing Science, 54(12), 2024–2038. https://doi.org/10.1287/mnsc.1080.0897