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Doppelhofer, Gernot; Weeks, Melvyn - 2021

This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model space, thereby taking model uncertainty into account. By looking beyond marginal measures of variable importance,...

Persistent link: https://www.econbiz.de/10013317072

On Identification of Bayesian DSGE Models

Koop, Gary - 2011

In recent years there has been increasing concern about the identification of parameters in dynamic stochastic general equilibrium (DSGE) models. Given the structure of DSGE models it may be difficult to determine whether a parameter is identified. For the researcher using Bayesian methods, a...

Persistent link: https://www.econbiz.de/10013126000

On Heckits, LATE, and Numerical Equivalence

Kline, Patrick - 2018

Structural econometric methods are often criticized for being sensitive to functional form assumptions. We study parametric estimators of the local average treatment effect (LATE) derived from a widely used class of latent threshold crossing models and show they yield LATE estimates...

Persistent link: https://www.econbiz.de/10012916571

From Late to MTE : Alternative Methods for the Evaluation of Policy Interventions

Cornelißen, Thomas - 2016

This paper provides an introduction into the estimation of Marginal Treatment Effects (MTE). Compared to the existing … econometric techniques who would like to use MTE estimation. Our framework of analysis is a generalized Roy model based on the … IV estimation with a discrete instrument resulting in a local average treatment effect (LATE). Turning to IV estimation …

Persistent link: https://www.econbiz.de/10012985790

Contagious Exporting and Foreign Ownership : Evidence from Firms in Shanghai Using a Bayesian Spatial Bivariate Probit Model

Baltagi, Badi H. - 2018

. These findings are established through the estimation of a spatial bivariate probit model …

Persistent link: https://www.econbiz.de/10012916953

The Determinants of Economic Growth in European Regions

Cuaresma, Jesús Crespo - 2009

We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...

Persistent link: https://www.econbiz.de/10012765299

Unraveling the Fortunates of the Fortunate : An Iterative Bayesian Model Averaging (IBMA) Approach

Eicher, Theo S. - 2007

inherent in growth regressions. IBMA is essential to our estimation because the simultaneous consideration of model uncertainty …

Persistent link: https://www.econbiz.de/10012777687

Non-Parametric Preprocessing for the Estimation of Equivalence Scales

Dudel, Christian - 2014

Empirically analyzing household behavior usually relies on informal data preprocessing. That is, before an econometric model is estimated, observations are selected in such a way that the resulting subset of data can be assumed to be sufficiently homogeneous with respect to the specific research...

Persistent link: https://www.econbiz.de/10013040004

Testing

Bergbauer, Annika - 2018

School systems regularly use student assessments for accountability purposes. But, as highlighted by our conceptual model, different configurations of assessment usage generate performance-conducive incentives of different strengths for different stakeholders in different school environments. We...

Persistent link: https://www.econbiz.de/10012910939

Hybrid Historical Simulation VaR and ES : Performance in Developed and Emerging Markets

Zikovic, Sasa - 2009

We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high … lower cost in capital reserves. In ES estimation the hybrid model yields the smallest error statistics surpassing even the …

Persistent link: https://www.econbiz.de/10013155427