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Econometrics, Volume 2, Issue 4

2014 December - 4 articles

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Articles (4)

  • Article
  • Open Access
373 Citations
22,535 Views
33 Pages

The Biggest Myth in Spatial Econometrics

  • James P. LeSage and
  • R. Kelley Pace

23 December 2014

There is near universal agreement that estimates and inferences from spatial regression models are sensitive to particular specifications used for the spatial weight structure in these models. We find little theoretical basis for this commonly held b...

(This article belongs to the Special Issue Spatial Econometrics)
  • Article
  • Open Access
4,986 Views
14 Pages

22 December 2014

In this paper we propose a test for a set of linear restrictions in a Vector Autoregressive Moving Average (VARMA) model. This test is based on the autoregressive metric, a notion of distance between two univariate ARMA models, M0 and M1, introduced...

  • Article
  • Open Access
29 Citations
11,329 Views
34 Pages

5 December 2014

Many econometric analyses have attempted to model medal winnings as dependent on per capita GDP and population size. This approach ignores the size and composition of the team of athletes, especially the role of female participation and the role of s...

  • Article
  • Open Access
1 Citations
5,692 Views
18 Pages

23 October 2014

The Heckman sample selection model relies on the assumption of normal and homoskedastic disturbances. However, before considering more general, alternative semiparametric models that do not need the normality assumption, it seems useful to test this...

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Econometrics - ISSN 2225-1146