It takes the average reader 1 hour and 58 minutes to read Dealing with Endogeneity in Regression Models with Dynamic Coefficients by Chang-Jin Kim
Assuming a reading speed of 250 words per minute. Learn more
The purpose of this monograph is to present a unified econometric framework for dealing with the issues of endogeneity in Markov-switching models and time-varying parameter models, as developed by Kim (2004, 2006, 2009), Kim and Nelson (2006), Kim et al. (2008), and Kim and Kim (2009). While Cogley and Sargent (2002), Primiceri (2005), Sims and Zha (2006), and Sims et al. (2008) consider estimation of simultaneous equations models with stochastic coefficients as a system, we deal with the LIML (limited information maximum likelihood) estimation of a single equation of interest out of a simultaneous equations model. Our main focus is on the two-step estimation procedures based on the control function approach, and we show how the problem of generated regressors can be addressed in second-step regressions.
Dealing with Endogeneity in Regression Models with Dynamic Coefficients by Chang-Jin Kim is 116 pages long, and a total of 29,696 words.
This makes it 39% the length of the average book. It also has 36% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 42 minutes to read Dealing with Endogeneity in Regression Models with Dynamic Coefficients aloud.
Dealing with Endogeneity in Regression Models with Dynamic Coefficients is suitable for students ages 10 and up.
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