macroIT

Italian macroeconomic variables from Q3-1996 to Q2-2011 (T = 60 observations).
The variables are<ul>
<li><code>QTR</code>: quarter and year of the observation</li>
<li><code>C</code>: expenses for consumption for Italian families</li>
<li><code>CP</code>: value added</li>
<li><code>WP</code>: private wages from dependent employment</li>
<li><code>I</code>: gross investment</li>
<li><code>K</code>: gross capital stock</li>
<li><code>GDP</code>: gross domestic product</li>
<li><code>T</code>: taxes</li>
<li><code>CP_1</code>: lagged value added</li>
<li><code>K_1</code>: lagged gross capital stock</li>
<li><code>GDP_1</code>: lagged gross domestic product</li>
</ul>

datasets

Provides two main functionalities.
1 - Given a system of simultaneous equation,
it decomposes the matrix of coefficients weighting the endogenous variables
into three submatrices: one includes the subset of coefficients that have a causal nature
in the model, two include the subset of coefficients that have a interdependent nature
in the model, either at systematic level or induced by the correlation between error terms.
2 - Given a decomposed model,
it tests for the significance of the interdependent relationships acting in the system,
via Maximum likelihood and Wald test, which can be built starting from the function output.
For theoretical reference see Faliva (1992) <doi:10.1007/BF02589085> and
Faliva and Zoia (1994) <doi:10.1007/BF02589041>.

Gianmarco Vacca

SIRE

Finding Feedback Effects in SEM and Testing for Their
Significance

macroIT function

An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 60 rows and 11 columns.

macroIT: Italian Macroeconomic Data

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