ECONOMETRIC METHODS II TA session 1 MATLAB Intro ...

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ECONOMETRIC METHODS II TA Session 1 Figure 3.4: Forecast Error Variance decomposition Fernando Pérez Forero 12
ECONOMETRIC METHODS II TA Session 1 A List of new commands Type help followed by the command name for more details. clear: Clear variables and functions from memory clc: Clear command window rand(m,n): Produces a m by n matrix with uniformly distributed pseudorandom numbers. diag: Produces diagonal matrices and captures the main diagonal of a matrix. eig: Eigenvalues and eigenvectors all: True (=1) if all elements of a vector are nonzero. disp: displays the array, without printing the array name. error: Display message and abort function. zeros(m,n): Produces a m by n matrix of zeros. ones(m,n): Produces a m by n matrix of ones. eye(m): Produces an identity matrix of order m. for: Repeat statements a speci…c number of times. while: Repeat statements an inde…nite number of times. figure: Create …gure window set: Set object properties. mvnrnd(mu,sigma): Random vectors from the multivariate normal distribution (use also randn(m,n)). ceil(X): rounds the elements of X to the nearest integers towards in…nity. plot: Linear plot. See also subplot and options (e.g., title, xlim, etc.) cell(m,n): Create a m by n cell array of empty matrices. sparse(x): converts a sparse or full matrix to sparse form by squeezing out any zero elements. deal: matches up the input and output lists. Fernando Pérez Forero 13
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ECONOMETRIC METHODS II TA session 1 MATLAB Intro ...

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