Approximate Distribution of Parameters in a Distributed Lag Model

摘要: Abstract In the construction of econometric models, need frequently arises to test significance coefficients whose distribution is a ratio two normal random variables for which no statistical tables exist. this article such ratio, emanating from partial adjustment model, empirically approximated by utilizing Monte Carlo experiments with various sample sizes. The results indicate that standardized positively skewed and does not closely approximate z-distribution. On basis empirical obtained, critical values levels significances sizes are reported.