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Show Results For
- All HBS Web
(2,107)
- People (1)
- News (435)
- Research (1,506)
- Events (49)
- Multimedia (13)
- Faculty Publications (928)
- January 2021 (Revised March 2021)
- Exercise
E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Direct-to-consumer; DTC; Analytics and Data Science; Sales; Marketing; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Exercise 521-078, January 2021. (Revised March 2021.)
- Research Summary
Heteroskedasticity Autocorrelation Consistent Covariance Matrix Estimation with Wavelets
I propose a new HAC estimator based on the wavelet representation of the spectral density. Whereas kernel-based HAC estimators [e.g. Newey West (1987) Andrews (1991)] have a fixed bandwidth, a wavelet estimator has bandwidths that vary across wavelet resolution... View Details
- 1991
- Article
Nonparametric Estimation of the Correlation Exponent
By: E. S. Mayfield and B. Mizrach
Mayfield, E. S., and B. Mizrach. "Nonparametric Estimation of the Correlation Exponent." Physical Review, A (1991).
- 2022
- Working Paper
On the Estimation of Demand-Based Asset Pricing Models
A growing literature uses portfolio holdings data to quantify the impact of investor demand on equilibrium prices via counterfactual experiments. The key parameter in relating demand and equilibrium prices is investors’ elasticity of demand with respect to the price.... View Details
van der Beck, Philippe. "On the Estimation of Demand-Based Asset Pricing Models." Swiss Finance Institute Research Paper Series, No. 22-67, May 2022.
- September 2010
- Supplement
Using Regression Analysis to Estimate Time Equations (CW)
By: Francisco de Asis Martinez-Jerez
This note presents a simple way to estimate time equations using regression analysis in Excel. The note quickly outlines regression analysis, then presents a real-life case example from the natural gas industry that students can use to gain experience developing and... View Details
- Article
Spectral GMM Estimation of Continuous-Time Processes
By: Luis M. Viceira and George Chacko
Viceira, Luis M., and George Chacko. "Spectral GMM Estimation of Continuous-Time Processes." Special Issue on Frontiers of Financial Econometrics and Financial Engineering. Journal of Econometrics 116, nos. 1-2 (September–October 2003): 259–292.
- September 2010 (Revised January 2011)
- Background Note
Using Regression Analysis to Estimate Time Equations
This note presents a simple way to estimate time equations using regression analysis in Excel. The note quickly outlines regression analysis, then presents a real-life case example from the natural gas industry that students can use to gain experience developing and... View Details
Martinez-Jerez, Francisco de Asis, and Ariel Andres Blumenkranc. "Using Regression Analysis to Estimate Time Equations." Harvard Business School Background Note 111-001, September 2010. (Revised January 2011.)
- 2018
- Working Paper
Semi-Parametric Estimation of Dynamic Discrete Choice Models
By: David Hao Zhang
I develop a new method for estimating counterfactuals in dynamic discrete choice models, a widely used set of models in economics, without requiring a distributional assumption on utility shocks. Applying my method to the canonical Rust (1987) setting, I find that the... View Details
Zhang, David Hao. "Semi-Parametric Estimation of Dynamic Discrete Choice Models." Working Paper, April 2018.
- Research Summary
Estimating Demand Uncertainty Using Judgmental Forecasts
Measuring demand uncertainty is a key activity in supply chain planning, but is difficult when demand history is unavailable such as for new products. One method that can be applied in such cases uses dispersion among forecasting experts as a measure of demand... View Details
- Research Summary
Dynamic Demand Estimation in Platform and Two-Sided Markets
This
paper develops techniques to structurally estimate consumer demand
in general platform-intermediated and two-sided markets. By
estimating both sides of the market simultaneously, the methodology
presented here is able to (1) endogenize the utility of a platform
as... View Details
- June 1998
- Background Note
Note on Alternative Methods for Estimating Terminal Value
Reviews basic techniques for estimating terminal value in the valuation of businesses. Among the techniques discussed are perpetuities, growing perpetuities, use of multiples, and liquidation value. A rewritten version of an earlier note. View Details
Fruhan, William E., Jr. "Note on Alternative Methods for Estimating Terminal Value." Harvard Business School Background Note 298-166, June 1998.
- 18 Jul 2018
- Video
What's the estimated long-term return for AMP?
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- December 2012
- Article
Estimating the Value of Connections to Vice-President Cheney
By: Rakesh Khurana, Raymond Fisman, Julia Galef and Yongxiang Wang
We estimate the market valuation of personal ties to Richard Cheney. Our proxies for personal ties are based on corporate board linkages that are prevalent in the network sociology literature. We consider a number of distinct political and personal events that either... View Details
Khurana, Rakesh, Raymond Fisman, Julia Galef, and Yongxiang Wang. "Estimating the Value of Connections to Vice-President Cheney." B.E. Journal of Economic Analysis & Policy 13, no. 3 (December 2012).
- fall 2007
- Article
Estimating Demand Uncertainty Using Judgmental Forecasts
By: Vishal Gaur, Saravanan Kesavan, Ananth Raman and Marshall L. Fisher
Gaur, Vishal, Saravanan Kesavan, Ananth Raman, and Marshall L. Fisher. "Estimating Demand Uncertainty Using Judgmental Forecasts." Manufacturing & Service Operations Management 9, no. 4 (fall 2007).
- 2024
- Working Paper
Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP
We delineate a general framework for incorporating many types of micro data from summary statistics to full surveys of selected consumers into Berry, Levinsohn, and Pakes (1995) style estimates of differentiated products demand systems. We extend recommended practices... View Details
Conlon, Chris, and Jeff Gortmaker. "Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP." Working Paper, September 2024.
- 27 Sep 2018
- Working Paper Summaries
Large-Scale Demand Estimation with Search Data
- summer 1991
- Article
Estimating Heterogeneity in Consumers' Purchase Rates
By: Sunil Gupta and Donald G. Morrison
Gupta, Sunil, and Donald G. Morrison. "Estimating Heterogeneity in Consumers' Purchase Rates." Marketing Science 10 (summer 1991): 264–269.
- Research Summary
Optimal Heteroskedasticity Autocorrelation Consistent Covariance Estimators for GMM Weighting Matrices
This paper considers the optimal bias-variance tradeoff for estimators of the long run covariance matrix used to generate GMM weighting matrices in time series contexts. Minimum MSE HAC estimators do not yield minimum MSE GMM estimators. Instead, achieving... View Details