Infrequency of Purchase: A Model for Clothing Consumption with Panel Data

By J. Sanchis-Llopis. 2001

1,306 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fc59ceb1572f0fc5129c53d4f9c626705c25b4d6

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Citations in the corpus

Insurance within the Firm (2005, positive): “In practice, we start by estimating firm-level parameters using minimum distance (Chamberlain 1984).”
Multilevel and related models for longitudinal data (2008, methodology): “In epidemiology, such a conditional maximum likelihood approach is used for matched casecontrol studies [7], in psychometrics for the Rasch measurement model [57], and in econometrics for panel data [8, 9].”
Small Farmers, NGOs, and a Walmart World: Welfare Effects of Supermarkets Operating in Nicaragua (2013, positive): “Because there is some concern in the literature that coefficient estimates may not be consistent in the case in which there are only a few time-series per individual (our data include nine), we also run a conditional logit model (Maddala 1987; Chamberlain et al. 1984).”
The Nature of Firm Growth (2017, positive): “We formally estimate the eight parameters of the process using a minimum distance procedure, as proposed by Chamberlain (1984).”
Using subjective income expectations to test for excess sensitivity of consumption to predicted income growth (2000, neutral): “In fact, as pointed out by Chamberlain (1984), there is no guarantee that the cross-sectional average of forecast errors will converge to zero as the dimension of the cross-section gets large.”
Quantile Regression Under Misspecification, with an Application to the U.S. Wage Structure (2006, neutral): “0 uf2τ (u∆τ (X, β)|X)∆τ (X,β)du ) ·∆τ (X, β), (7)”
Prediction in multilevel generalized linear models (2009, background): “We allow the covariates X j and Z j to be random and assume that they are strictly exogenous (e.g. Chamberlain (1984)) in the sense that E." ij |ζ j , X j , Z j / = E." ij |ζ j , x ij , z ij / = E." ij / = 0, and E.ζ j”
Cross Sectional Facts for Macroeconomists (2009, neutral): “First, government redistribution compresses the level of inequality in every country studied in this volume: cross-sectional dispersion in disposable income is significantly lower than dispersion in household earnings.(4) The ratio between these two measures varies across countries, however.”
Differences in opportunities? Wage, unemployment and house-price effects on migration (2010, positive): “…(3) 5 It is becoming increasingly common to allow for some correlation between unobservables and explanatory variables within a random effects framework by modelling the individual-specific unobserved effect as a function of the means of the time-varying covariates (Mundlak 1978; Chamberlain 1984).”
Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models (2001, methodology): “In addition, the model shares a common feature with those in Chamberlain (1984) and Holtz-Eakin et al. (1988) in the sense that coe$cients can vary over time.”
Disrupting Demand for Commercial Seed: Input Subsidies in Malawi and Zambia (2013, methodology): “The CRE approach (Mundlak 1978; Chamberlain 1984) entails including household time averages of all explanatory variables as additional covariates in the commercial seed demand Tobits.”
A Simple Approach to Quantile Regression for Panel Data (2011, methodology): “Abrevaya and Dahl (2008) use the correlated random-effects model of Chamberlain (1982, 1984) as a way to get an estimator of θ (τ ).”
Bayesian Multilevel Analysis and MCMC (2008, background): “, Cowles and Carlin [19] and Brooks and Roberts [9] for good reviews.”