A Monte Carlo Study for Pooling Time Series of Cross-Section Data in the Simultaneous Equations Model

1984 ◽  
Vol 25 (3) ◽  
pp. 603 ◽  
Author(s):  
Badi H. Baltagi
Keyword(s):  
Time Series ◽  
Monte Carlo ◽  
Cross Section ◽  
Monte Carlo Study ◽  
Simultaneous Equations ◽  
Cross Section Data ◽  
Simultaneous Equations Model ◽  
Section Data

Monte Carlo study of photoneutron production in U-235 following perturbations in cross section data

2009 ◽  
Vol 36 (3) ◽  
pp. 393-398 ◽  
Author(s):  
S.D. Clarke ◽  
S.A. Pozzi ◽  
M. Flaska ◽  
T.J. Downar
Keyword(s):  
Monte Carlo ◽  
Cross Section ◽  
Monte Carlo Study ◽  
Cross Section Data ◽  
Section Data

Pooling of Time Series and Cross Section Data

Econometrica ◽  
1969 ◽  
Vol 37 (3) ◽  
pp. 552
Author(s):  
V. K. Chetty
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Cross Section Data ◽  
Section Data

Time is Not A Theoretical Variable

2010 ◽  
Vol 18 (3) ◽  
pp. 293-294 ◽  
Author(s):  
Nathaniel Beck
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Duration Dependence ◽  
Cross Section Data ◽  
Section Data ◽  
Data Analyst ◽  
Binary Time Series ◽  
Simple Cubic ◽  
Cubic Polynomial

Carter and Signorino (2010) (hereinafter “CS”) add another arrow, a simple cubic polynomial in time, to the quiver of the binary time series—cross-section data analyst; it is always good to have more arrows in one's quiver. Since comments are meant to be brief, I will discuss here only two important issues where I disagree: are cubic duration polynomials the best way to model duration dependence and whether we can substantively interpret duration dependence.

Advanced Monte Carlo procedure for the IFMIF d-Li neutron source term based on evaluated cross section data

2002 ◽  
Vol 307-311 ◽  
pp. 1710-1714 ◽  
Author(s):  
S.P Simakov ◽  
U Fischer ◽  
U von Möllendorff ◽  
I Schmuck ◽  
A.Yu Konobeev ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Cross Section ◽  
Neutron Source ◽  
Source Term ◽  
Cross Section Data ◽  
Monte Carlo Procedure ◽  
Section Data
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