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We present a survey design that generalizes static conjoint experiments to elicit inter-temporal adoption decisions for durable goods. We show that consumers' utility and discount functions in a dynamic discrete choice model are jointly identified using data generated by this specific design. In...
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We analyze the initial conditions bias in the estimation of brand choice models with structural state dependence. Using a combination of Monte Carlo simulations and empirical case studies of shopping panels, we show that popular, simple solutions that mis-specify the initial conditions are...
Persistent link: https://www.econbiz.de/10012848332
We document the degree of price dispersion and the similarities as well as differences in pricing and promotion strategies across stores in the U.S. retail (grocery) industry. Our analysis is based on “big data” that allow us to draw general conclusions based on the prices for close to...
Persistent link: https://www.econbiz.de/10012862405
We analyze the initial conditions bias in the estimation of brand choice models with structural state dependence. Using a combination of Monte Carlo simulations and empirical case studies of shopping panels, we show that popular, simple solutions that mis-specify the initial conditions are...
Persistent link: https://www.econbiz.de/10012863280
We present a survey design that generalizes static conjoint experiments to elicit inter-temporal adoption decisions for durable goods. We show that consumers' utility and discount functions in a dynamic discrete choice model are jointly identified using data generated by this specific design. In...
Persistent link: https://www.econbiz.de/10012460266
This paper develops a framework to measure "tipping" - the increase in a firm's market share dominance caused by indirect network effects. Our measure compares the expected concentration in a market to the hypothetical expected concentration that would arise in the absence of indirect network...
Persistent link: https://www.econbiz.de/10014047894
We discuss how to construct optimal targeting policies and document the difference in profits from alternative targeting policies by using estimation approaches that are based on recent advances in causal inference and machine learning. We introduce an approach to evaluate the profit of any...
Persistent link: https://www.econbiz.de/10014116798