simulations, I find that one normalization used by Gali and Gertler (and others) finds evidence of backward-looking firms even … when there is none by construction. In addition, the IV estimates are also sensitive to the choice of normalization in a … and Gertler. When using my preferred normalization, I find that the NKPC is rejected at the 5 percent but not at the 1 …

in terms of robustly capturing production and technical parameters, especially when merged with "normalization". Our … understanding the empirical relevance of normalization and the variability underlying past empirical studies. JEL Classification: C …

criteria are normalization dependent, i.e. their outcome depends on the good chosen to express individuals' marginal rates of …

In this paper we show that the widely used normalization constraint SUM(i=1,n) wi = 1 does not apply to the priority … of this type of normalization may lead to unsatisfactory results and we give some examples from the literature. Then, we … propose an alternative normalization procedure which is compatible with additive transitivity and leads to better results. …

Normalization is an important step in the analysis of microarray data of transcription profiles as systematic non … normalization often assume that there are few or symmetric differential expression, but this assumption does not always hold …. Alternatively, non-differentially expressed genes may be used for array normalization. However, it is unknown at the outset which …

analyzed directly, without first applying a normalization such as the Pearson correlation. In this communication, it is argued …