Common threshold in quantile regressions with an application to pricing for reputation
The paper develops a systematic estimation and inference procedure for quantile regression models where there may exist a common threshold effect across different quantile indices. We first propose a sup-Wald test for the existence of a threshold effect, and then study the asymptotic properties of t...
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sg-smu-ink.soe_research-31002020-04-01T08:53:39Z Common threshold in quantile regressions with an application to pricing for reputation SU, Liangjun XU, Pai The paper develops a systematic estimation and inference procedure for quantile regression models where there may exist a common threshold effect across different quantile indices. We first propose a sup-Wald test for the existence of a threshold effect, and then study the asymptotic properties of the estimators in a threshold quantile regression model under the shrinking-threshold-effect framework. We consider several tests for the presence of a common threshold value across different quantile indices and obtain their limiting distributions. We apply our methodology to study the pricing strategy for reputation via the use of a dataset from Taobao.com. In our economic model, an online seller maximizes the sum of the profit from current sales and the possible future gain from a targeted higher reputation level. We show that the model can predict a jump in optimal pricing behavior, which is considered as “reputation effect” in this paper. The use of threshold quantile regression model allows us to identify and explore the reputation effect and its heterogeneity in data. We find both reputation effects and common thresholds for a range of quantile indices in seller’s pricing strategy in our application. 2019-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2100 info:doi/10.1080/07474938.2017.1318469 https://ink.library.smu.edu.sg/context/soe_research/article/3100/viewcontent/Common_threshold_in_quantile_regressions_reputation_2017_av.pdf https://ink.library.smu.edu.sg/context/soe_research/article/3100/filename/0/type/additional/viewcontent/common_threshold_QR_er_20160818_suppl.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Common threshold effect Pricing strategy Regime change Specification test Threshold quantile regression Econometrics |
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Common threshold effect Pricing strategy Regime change Specification test Threshold quantile regression Econometrics SU, Liangjun XU, Pai Common threshold in quantile regressions with an application to pricing for reputation |
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The paper develops a systematic estimation and inference procedure for quantile regression models where there may exist a common threshold effect across different quantile indices. We first propose a sup-Wald test for the existence of a threshold effect, and then study the asymptotic properties of the estimators in a threshold quantile regression model under the shrinking-threshold-effect framework. We consider several tests for the presence of a common threshold value across different quantile indices and obtain their limiting distributions. We apply our methodology to study the pricing strategy for reputation via the use of a dataset from Taobao.com. In our economic model, an online seller maximizes the sum of the profit from current sales and the possible future gain from a targeted higher reputation level. We show that the model can predict a jump in optimal pricing behavior, which is considered as “reputation effect” in this paper. The use of threshold quantile regression model allows us to identify and explore the reputation effect and its heterogeneity in data. We find both reputation effects and common thresholds for a range of quantile indices in seller’s pricing strategy in our application. |
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SU, Liangjun XU, Pai |
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SU, Liangjun XU, Pai |
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SU, Liangjun |
title |
Common threshold in quantile regressions with an application to pricing for reputation |
title_short |
Common threshold in quantile regressions with an application to pricing for reputation |
title_full |
Common threshold in quantile regressions with an application to pricing for reputation |
title_fullStr |
Common threshold in quantile regressions with an application to pricing for reputation |
title_full_unstemmed |
Common threshold in quantile regressions with an application to pricing for reputation |
title_sort |
common threshold in quantile regressions with an application to pricing for reputation |
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Institutional Knowledge at Singapore Management University |
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2019 |
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https://ink.library.smu.edu.sg/soe_research/2100 https://ink.library.smu.edu.sg/context/soe_research/article/3100/viewcontent/Common_threshold_in_quantile_regressions_reputation_2017_av.pdf https://ink.library.smu.edu.sg/context/soe_research/article/3100/filename/0/type/additional/viewcontent/common_threshold_QR_er_20160818_suppl.pdf |
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