Rick L Andrews
Biographic Data
| ID | 6220939 |
|---|---|
| NAME | Rick L Andrews |
| GIVEN NAMES | Rick L |
| FAMILY NAME | Andrews |
| SIGNATURE | ANDREWS R L |
| AFFILIATIONS | University of Delaware |
| ORCID | 0000-0002-7272-7319 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2011 |
| H-INDEX | 1 |
A Comparison of Sales Response Predictions From Demand Models Applied to Store-Level versus Panel Data
In order to generate sales promotion response predictions, marketing analysts estimate demand models using either disaggregated (consumer-level) or aggregated (store-level) scanner data. Comparison of predictions from these demand models is complicated by the fact that models may accommodate different forms of consumer heterogeneity depending on the level of data aggregation. This study shows via simulation that demand models with various heterog…
Forecasting Performance of Structural Time Series Models
Although theoretical research on the properties of structural time series models has regularly appeared in the literature, there is as yet scant evidence on the forecasting performance of structural models relative to more traditional methods. This study compares the empirical performance of structural time series models to four methods that are similar in complexity, using 111 business and economic time series. The structural approach appears to…
Economics of information and heterogeneous products
Economics of information and heterogeneous products
Forecasting Performance of Structural Time Series Models
Although theoretical research on the properties of structural time series models has regularly appeared in the literature, there is as yet scant evidence on the forecasting performance of structural models relative to more traditional methods. This study compares the empirical performance of structural time series models to four methods that are similar in complexity, using 111 business and economic time series. The structural approach appears to…
A Comparison of Sales Response Predictions From Demand Models Applied to Store-Level versus Panel Data
In order to generate sales promotion response predictions, marketing analysts estimate demand models using either disaggregated (consumer-level) or aggregated (store-level) scanner data. Comparison of predictions from these demand models is complicated by the fact that models may accommodate different forms of consumer heterogeneity depending on the level of data aggregation. This study shows via simulation that demand models with various heterog…
Econometrics (3 works) · Economics (3 works) · Computer Science (2 works) · Consumer Market Behavior and Pricing (2 works) · Business (1 work) · Complex Systems and Time Series Analysis (1 work) · Consumer information (1 work) · Consumer Retail Behavior Studies (1 work) · Decision-Making and Behavioral Economics (1 work) · Economic and Environmental Valuation (1 work)