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Econometrics, Volume 8, Issue 1

March 2020 - 11 articles

Cover Story: Amini and Parmeter's "A Review of the `BMS' Package for R with Focus on Jointness" details both the basic functionality of the BMS package and provides an easy to deploy function that calculates eight different jointness measures which have been proposed in the Bayesian econometric literature. They describe the main features under the user's control for the BMS package as well as the plot diagnostics available for visualization of the results. Examples are provided to illustrate estimation with full enumeration of the model space as well as requiring a model space search mechanism. Finally, they provide an application to the equity premium from the finance literature to calculate jointness across eight different measures. Having easy access to these various jointness measures allows users to quickly determine how robust economic insights are to various notions of jointness. View this paper.
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Articles (11)

  • Article
  • Open Access
11 Citations
8,303 Views
24 Pages

This work describes a versatile and readily-deployable sensitivity analysis of an ordinary least squares (OLS) inference with respect to possible endogeneity in the explanatory variables of the usual k-variate linear multiple regression model. This s...

  • Article
  • Open Access
7 Citations
5,474 Views
11 Pages

A factor model based covariance matrix is used to build a new form of Mahalanobis distance. The distribution and relative properties of the new Mahalanobis distances are derived. A new type of Mahalanobis distance based on the separated part of the f...

  • Feature Paper
  • Article
  • Open Access
4 Citations
5,210 Views
36 Pages

Distributions You Can Count On …But What’s the Point?

  • Brendan P. M. McCabe and
  • Christopher L. Skeels

The Poisson regression model remains an important tool in the econometric analysis of count data. In a pioneering contribution to the econometric analysis of such models, Lung-Fei Lee presented a specification test for a Poisson model against a broad...

  • Article
  • Open Access
2 Citations
5,028 Views
15 Pages

We examine the performance of asymptotic inference as well as bootstrap tests for the Alphabeta and Kobus–Miłoś family of inequality indices for ordered response data. We use Monte Carlo experiments to compare the empirical size and statistical...

  • Tutorial
  • Open Access
7 Citations
6,652 Views
21 Pages

We provide a general overview of Bayesian model averaging (BMA) along with the concept of jointness. We then describe the relative merits and attractiveness of the newest BMA software package, BMS, available in the statistical language R to implement...

  • Feature Paper
  • Article
  • Open Access
9 Citations
5,740 Views
35 Pages

Functional data is a common and important type in econometrics and has been easier and easier to collect in the big data era. To improve estimation accuracy and reduce forecast risks with functional data, in this paper, we propose a novel cross-valid...

  • Article
  • Open Access
1 Citations
5,711 Views
9 Pages

Although a wide array of stochastic dominance tests exist for poverty measurement and identification, they assume the income distributions have independent poverty lines or a common absolute (fixed) poverty line. We propose a stochastic dominance tes...

  • Correction
  • Open Access
4,032 Views
1 Page

The authors wish to make the following corrections to this paper (Ardia et al [...]

  • Feature Paper
  • Article
  • Open Access
17 Citations
7,001 Views
23 Pages

Large-dimensional dynamic factor models and dynamic stochastic general equilibrium models, both widely used in empirical macroeconomics, deal with singular stochastic vectors, i.e., vectors of dimension r which are driven by a q-dimensional white noi...

  • Editorial
  • Open Access
1 Citations
3,834 Views
2 Pages

The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not [...]

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Econometrics - ISSN 2225-1146