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Robust estimation and inference in panels with interactive fixed effects
Armstrong, Timothy B.; Weidner, Martin; Zeleneev, Andrei - 2023
We consider estimation and inference for a regression coefficient in panels with interactive fixed effects (i.e., with a factor structure). We show that previously developed estimators and confidence intervals (CIs) might be heavily biased and size-distorted when some of the factors are weak. We...
Persistent link: https://www.econbiz.de/10014480692
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Household willingness to pay for organic products
Griffith, Rachel; Nesheim, Lars - 2008
We use hedonic prices and purchase quantities to consider what can be learned about household willingness to pay for baskets of organic products and how this varies across households. We use rich scanner data on food purchases by a large number of households to compute household specific lower...
Persistent link: https://www.econbiz.de/10010288215
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Estimating households' willingness to pay
Griffith, Rachel; Nesheim, Lars - 2010
The recent literature has brought together the characteristics model of utility and classic revealed preference arguments to learn about consumers' willingness to pay. We incorporate market pricing equilibrium conditions into this setting. This allows us to use observed purchase prices and...
Persistent link: https://www.econbiz.de/10010288392
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Simulation and estimation of hedonic models
Heckman, James J.; Matzkin, Rosa Liliana; Nesheim, Lars P. - 2003
Persistent link: https://www.econbiz.de/10010318494
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Identification and estimation of hedonic models
Ekeland, Ivar; Heckman, James J.; Nesheim, Lars - 2002
This paper considers the identification and estimation of hedonic models. We establish that technology and preferences in a separable version of the hedonic model are generically identified up to affine transformations from data on demand and supply in a single hedonic market. For a very general...
Persistent link: https://www.econbiz.de/10010318545
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Time-varying linear transformation models with fixed effects and endogeneity for short panels
Botosaru, Irene; Muris, Chris; Sokullu, Senay - 2022
This paper considers a class of fixed-T nonlinear panel models with timevarying link function, fixed effects, and …
Persistent link: https://www.econbiz.de/10013253005
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Identification in a binary choice panel data model with a predetermined covariate
Bonhomme, Stéphane; Dano, Kevin; Graham, Bryan S. - 2023
We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a …
Persistent link: https://www.econbiz.de/10014480540
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Bias corrections for two-step fixed effects panel data estimators
Fernández-Val, Iván; Vella, Francis - 2007
This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …
Persistent link: https://www.econbiz.de/10010318527
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Jackknife and analytical bias reduction for nonlinear panel models
Hahn, Jinyong; Newey, Whitney K. - 2003
Fixed effects estimators of panel models can be severely biased because of the well-known incidental parameters problem …. We show that this bias can be reduced by using a panel jackknife or an analytical bias correction motivated by large T … panel jackknife. We show T growing faster than n1/3 suffices for correctness of the analytic correction, a property we also …
Persistent link: https://www.econbiz.de/10010318566
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Robust priors in nonlinear panel data models
Arellano, Manuel; Bonhomme, Stéphane - 2006
Many approaches to estimation of panel models are based on an average or integrated likelihood that assigns weights to …
Persistent link: https://www.econbiz.de/10010318579