R.B. 2003-07A panel data Tobit model is developed to examine the household purchase process for a frequently purchased commodity. The proposed model accounts not only for censoring or sample selectivity, but also the temporal dependence of the purchasing process using household panel data. The flexible error structure in the model accounts for both state dependence and household heterogeneity. Empirical findings show that purchase habits of milk persist across households over time, and most of them come from the household heterogeneity in preferences. Results also show that advertising increases the purchase quantity and purchase frequency simultaneously
"10 April 1994."Includes bibliographical references (p. 30-31).John D.C. Little, Eric T. Anderson
NICPRE 01-01 R.B. 2001-01A two-step sample selection model is used to estimate household demand equ...
Purchase incidence models estimated on household scanner panel data typically assume the household's...
A panel data Tobit model is developed to examine the household purchase process for a frequently pur...
Increased availability of scanner-based panel data has enabled researchers to better understand nond...
Incorporating dynamics such as habit formation in analysis of demand can make estimation more reliab...
This study updates existing literature on consumer/household demand for fiber by examining household...
The marketing literature has addressed the issues of heterogeneity and erKlogeneity when estimating ...
A two-step model with sample selection is applied to panel data of U.S. households to estimate at-ho...
The authors investigate whether household scanner data provide rep- resentative inferences about bra...
We fonnulate an econometric model of fluid milk expenditures, taking into account two important char...
Marketing researchers have long used brand switching analyses and Markov transition matrices to gain...
In this study, we extend to panel data structures the double-hurdle model typically used in cross-se...
WP 2005-10 March 2005JEL Classification Codes: C34; D19; O12; Q12Do rural households in developing c...
Increased availability of scanner-based panel data has enabled researchers to better understand nond...
"10 April 1994."Includes bibliographical references (p. 30-31).John D.C. Little, Eric T. Anderson
NICPRE 01-01 R.B. 2001-01A two-step sample selection model is used to estimate household demand equ...
Purchase incidence models estimated on household scanner panel data typically assume the household's...
A panel data Tobit model is developed to examine the household purchase process for a frequently pur...
Increased availability of scanner-based panel data has enabled researchers to better understand nond...
Incorporating dynamics such as habit formation in analysis of demand can make estimation more reliab...
This study updates existing literature on consumer/household demand for fiber by examining household...
The marketing literature has addressed the issues of heterogeneity and erKlogeneity when estimating ...
A two-step model with sample selection is applied to panel data of U.S. households to estimate at-ho...
The authors investigate whether household scanner data provide rep- resentative inferences about bra...
We fonnulate an econometric model of fluid milk expenditures, taking into account two important char...
Marketing researchers have long used brand switching analyses and Markov transition matrices to gain...
In this study, we extend to panel data structures the double-hurdle model typically used in cross-se...
WP 2005-10 March 2005JEL Classification Codes: C34; D19; O12; Q12Do rural households in developing c...
Increased availability of scanner-based panel data has enabled researchers to better understand nond...
"10 April 1994."Includes bibliographical references (p. 30-31).John D.C. Little, Eric T. Anderson
NICPRE 01-01 R.B. 2001-01A two-step sample selection model is used to estimate household demand equ...
Purchase incidence models estimated on household scanner panel data typically assume the household's...