Instrument-free Identification and Estimation of Differentiated Products Models using Cost Data
Byrne, D. P., Imai, S., Jain, N. & Sarafidis, V. (2022). Instrument-free Identification and Estimation of Differentiated Products Models using Cost Data. Journal of Econometrics, 228(2), pp. 278-301. doi: 10.1016/j.jeconom.2021.12.006
Abstract
We propose a new methodology for identifying and estimating demand in differentiated products models when demand and cost data are available. The method deals with the endogeneity of prices to demand shocks and the endogeneity of outputs to cost shocks by using cost data rather than instruments. Further, we allow for unobserved market size. Using Monte Carlo experiments, we show that our method works well in contexts where commonly used instruments are invalid. We also apply our method to the estimation of deposit demand in the US banking industry.
| Publication Type: | Article |
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| Additional Information: | © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Publisher Keywords: | Differentiated products oligopoly, Instruments, Identification, Cost data |
| Subjects: | H Social Sciences > HB Economic Theory |
| Departments: | School of Policy & Global Affairs > Economics |
| SWORD Depositor: |
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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