Suchergebnisse

Adaptive Grids for the Estimation of Dynamic Models

In: Lanz, Andreas, Gregor Reich, and Ole Wilms (2022), "Adaptive Grids for the Estimation of Dynamic Models," Quantitative Marketing and Economics, 20, 179–238.

Contract Design in Influencer Marketing

In: Stanford University Graduate School of Business Research Paper No. 4809158

Buying Future Endorsements from Prospective Influencers on User-Generated Content Platforms

In: Lanz, Andreas, Jacob Goldenberg, Daniel Shapira, and Florian Stahl (2023), 'Buying Future Endorsements from Prospective Influencers on User-Generated Content Platforms,' Journal of Marketing Research, Forthcoming.

Climb or Jump: Status-Based Seeding in User-Generated Content Networks

In: Lanz, Andreas, Jacob Goldenberg, Daniel Shapira, and Florian Stahl (2019), "Climb or Jump: Status-Based Seeding in User-Generated Content Networks," Journal of Marketing Research, 56(3), 361–378.

Climb or jump - status-based seeding in user-generated content network

Behavior Toward Newcomers and Contributions to Online Communities

In: HKUST Business School Research Paper No. 2024-174

"Small Data": Efficient Inference with Occasionally Observed States *

In: HEC Paris Research Paper No. MKG-2020-1380

Social Capital Accumulation Through Social Media Networks: Evidence from a Randomized Field Experiment and Individual-Level Panel Data

In: Weiler, Michael, Simon Stolz, Andreas Lanz, Christian Schlereth, and Oliver Hinz (2021), "Social Capital Accumulation Through Social Media Networks: Evidence from a Randomized Field Experiment and Individual-Level Panel Data," Management Information Systems Quarterly, 46(2), 771–812.