Pradeep K Chintagunta

Biographic Data

ID6101618
NAMEPradeep K Chintagunta
GIVEN NAMESPradeep K
FAMILY NAMEChintagunta
SIGNATURECHINTAGUNTA P K
AFFILIATIONSUniversity of Chicago
ORCID0000-0003-2854-5216
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1994
LATEST PUBLICATION YEAR2024
H-INDEX0

  • Passing the message

    Open AccessAlfredo Burlando, Pradeep K Chintagunta et al.ARTICLEJournal of Development Economics2024References: 1

  • Mapping Consumers’ Context-Dependent Consumption Preferences

    Open AccessJunghyun Park, Minki Kim et al.ARTICLEJournal of Consumer Research2022References: 63

    How, and to what extent, consumer choices are influenced by the context in which the product is consumed remain important marketing questions. In this article, the authors develop a parsimonious context-dependent multidimensional unfolding model that can accommodate consumers’ context-specific behaviors via ideal points in multiattribute space along with brand locations in that space while accounting for unobserved heterogeneity in consumer behav…

  • The Effects of Online User Reviews on Movie Box Office Performance

    Pradeep K Chintagunta, Shyam Gopinath et al.ARTICLEMarketing Science2010

    Our objective in this paper is to measure the impact (valence, volume, and variance) of national online user reviews on designated market area (DMA)-level local geographic box office performance of movies. We account for three complications with analyses that use national-level aggregate box office data: (i) aggregation across heterogeneous markets (spatial aggregation), (ii) serial correlation as a result of sequential release of movies (endogen…

  • Nonparametric Discrete Choice Models With Unobserved Heterogeneity

    Richard A Briesch, Pradeep K Chintagunta et al.ARTICLEJournal of Business and Economic…2010

    In this research, we provide a new method to estimate discrete choice models with unobserved heterogeneity that can be used with either cross-sectional or panel data. The method imposes nonparametric assumptions on the systematic subutility functions and on the distributions of the unobservable random vectors and the heterogeneity parameter. The estimators are computationally feasible and strongly consistent. We provide an empirical application o…

  • The Proportional Hazard Model for Purchase Timing

    P B Seetharaman, Pradeep K ChintaguntaARTICLEJournal of Business and Economic…2003

    We use the proportional hazard model (PHM) to study purchase-timing behavior of households in two product categories: laundry detergents and paper towels. The PHM decomposes a household's instantaneous probability of buying the product at a point of time into two components: the baseline hazard that captures the household's intrinsic purchase pattern over time and the covariate function that captures the effects of marketing variables on the hous…

  • An Empirical Investigation of the “Dynamic McFadden” Model of Purchase Timing and Brand Choice

    Pradeep K Chintagunta, Alok R PrasadARTICLEJournal of Business and Economic…1998

    Purchase timing and brand-choice decisions of households are jointly investigated using the “dynamic McFadden” model of Heckman and Singer. The hazard of brand purchase is decomposed into the category purchase hazard and the probability of brand choice conditional on category purchase. The former is modeled using the hazard-function approach and the latter using a logit model. Unobserved heterogeneity in brand preferences, marketing effects, and …

  • An Empirical Investigation of the "Dynamic McFadden" Model of Purchase Timing and Brand Choice

    Pradeep K Chintagunta, Alok R PrasadARTICLEJournal of Business and Economic…1998

    Pradeep K. Chintagunta, Alok R. Prasad, An Empirical Investigation of the "Dynamic McFadden" Model of Purchase Timing and Brand Choice: Implications for Market Structure, Journal of Business & Economic Statistics, Vol. 16, No. 1 (Jan., 1998), pp. 2-12

  • A Random-Coefficients Logit Brand-Choice Model Applied to Panel Data

    Dipak C Jain, Naufel J Vilcassim et al.ARTICLEJournal of Business and Economic…1994

    A random-coefficients logit model that allows for unobserved heterogeneity in brand preferences and in the responses to marketing variables is empirically investigated using household-level panel data. The unknown underlying distribution of unobserved heterogeneity is approximated by a discrete distribution. The results reveal that there is significant unobserved heterogeneity across households and that ignoring its effects results in a downward …