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Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Growth and Development

None

Christopher F. Parmeter

Selected Works

2012

Nonparametric Methods

Articles 1 - 4 of 4

Full-Text Articles in Social and Behavioral Sciences

A Simple Method To Visualize Results In Nonlinear Regression Models, Daniel Henderson, Subal Kumbhakar, Christopher Parmeter Dec 2011

A Simple Method To Visualize Results In Nonlinear Regression Models, Daniel Henderson, Subal Kumbhakar, Christopher Parmeter

Christopher F. Parmeter

No abstract provided.


Normal Reference Bandwidths For The General Order, Multivariate Kernel Density Derivative Estimator, Christopher Parmeter, Daniel Hendseron Dec 2011

Normal Reference Bandwidths For The General Order, Multivariate Kernel Density Derivative Estimator, Christopher Parmeter, Daniel Hendseron

Christopher F. Parmeter

No abstract provided.


Smooth Coefficient Estimation Of A Seemingly Unrelated Regression, Daniel Henderson, Subal Kumbhakar, Qi Li, Christopher Parmeter Dec 2011

Smooth Coefficient Estimation Of A Seemingly Unrelated Regression, Daniel Henderson, Subal Kumbhakar, Qi Li, Christopher Parmeter

Christopher F. Parmeter

No abstract provided.


Empirical Implementation Of Nonparametric First-Price Auction Models, Daniel Henderson, John List, Daniel Millimet, Christopher Parmeter, Michael Price Dec 2011

Empirical Implementation Of Nonparametric First-Price Auction Models, Daniel Henderson, John List, Daniel Millimet, Christopher Parmeter, Michael Price

Christopher F. Parmeter

Although these estimators are popular in the literature, many key features necessary for proper implementation have yet to be uncovered. Here we provide several suggestions for nonparametric estimation of first-price auction models. Specifically, we show how to impose monotonicity of the equilibrium bidding strategy; a key property of structural auction models not guaranteed in standard nonparametric estimation. We further develop methods for automatic bandwidth selection. Finally, we discuss how to impose monotonicity in auctions with differing numbers of bidders, reserve prices, and auction-specific characteristics. Finite sample performance is examined using simulated data as well as experimental auction data.