- Home
- Mathematics
- Probability & Statistics
- Causal Inference in Marketing: A Practical Toolkit for Panel Data (Foundations, Core Panel Designs, and Spillovers, Volume 1)
Causal Inference in Marketing: A Practical Toolkit for Panel Data (Foundations, Core Panel Designs, and Spillovers, Volume 1)
List Price:
$68.99
| Expected release date is Nov 18th 2026 |
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Charles Shaw
Format:
Paperback
Pages:
536
Publisher:
CRC Press (November 18, 2026)
Imprint:
Chapman and Hall/CRC
Release Date:
November 18, 2026
Language:
English
Audience:
Professional and scholarly
ISBN-13:
9781041386261
Weight:
16oz
Dimensions:
7" x 10"
File:
TAYLORFRANCIS-TayFran_260602042642569-20260602.xml
Folder:
TAYLORFRANCIS
List Price:
$68.99
Country of Origin:
United States
Pub Discount:
30
As low as:
$65.54
Publisher Identifier:
P-CRC
Discount Code:
H
Overview
Volume 1 of Causal Inference in Marketing: A Practical Toolkit for Panel Data develops the foundations and core panel designs needed to turn messy data structures into credible causal evidence and translates it into the language of marketing measurement: incrementality, attribution, budget allocation, and decision-relevant reporting.
