Access Statistics for Elea McDonnell Feit
Author contact details at EconPapers.
| Working Paper | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| Context information increases revenue in ad auctions: Evidence from a policy change | 0 | 0 | 2 | 8 | 0 | 3 | 10 | 37 |
| Total Working Papers | 0 | 0 | 2 | 8 | 0 | 3 | 10 | 37 |
| Journal Article | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| Brand Attitudes and Search Engine Queries | 0 | 0 | 2 | 18 | 6 | 9 | 17 | 89 |
| Can negative buzz increase awareness and purchase intent? | 0 | 4 | 7 | 39 | 1 | 13 | 25 | 182 |
| Choices in networks: a research framework | 0 | 0 | 0 | 17 | 2 | 5 | 7 | 58 |
| Forecasting light-duty vehicle demand using alternative-specific constants for endogeneity correction versus calibration | 0 | 0 | 0 | 9 | 2 | 8 | 12 | 57 |
| Latent Stratification for Incrementality Experiments | 0 | 1 | 4 | 4 | 5 | 16 | 25 | 26 |
| Pooling stated and revealed preference data in the presence of RP endogeneity | 0 | 0 | 1 | 28 | 3 | 16 | 23 | 163 |
| Test & Roll: Profit-Maximizing A/B Tests | 0 | 0 | 4 | 26 | 1 | 8 | 19 | 77 |
| Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China | 4 | 6 | 20 | 89 | 10 | 25 | 88 | 389 |
| Total Journal Articles | 4 | 11 | 38 | 230 | 30 | 100 | 216 | 1,041 |
| Book | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| Python for Marketing Research and Analytics | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 4 |
| Total Books | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 4 |
| Chapter | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| Additional Linear Modeling Topics | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
| An Overview of Python | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
| Classification: Assigning Observations to Known Categories | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 3 |
| Comparing Groups: Statistical Tests | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Comparing Groups: Tables and Visualizations | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 |
| Conclusion | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Describing Data | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Endogeneity and Causal Inference in Marketing | 0 | 0 | 1 | 6 | 4 | 7 | 14 | 34 |
| Field Experiments | 0 | 0 | 0 | 0 | 3 | 11 | 17 | 33 |
| Fusion Modeling | 0 | 0 | 0 | 0 | 1 | 1 | 8 | 56 |
| Identifying Drivers of Outcomes: Linear Models | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Reducing Data Complexity | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Relationships Between Continuous Variables | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
| Segmentation: Unsupervised Clustering Methods for Exploring Subpopulations | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
| Welcome to Python | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |
| Total Chapters | 0 | 0 | 1 | 6 | 9 | 29 | 49 | 133 |
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