Is it different for zeros? Discriminating between models for non-negative data with many zeros
In many economic applications, the variate of interest is non-negative and its distribution is characterized by a mass-point at zero and a long right-tail. Many regression strategies have been proposed to deal with data of this type. Although there has been a long debate in the literature on the appropriateness of different models, formal statistical tests to choose between the competing specifications, or to assess the validity of the preferred model, are not often used in practice. In this paper we propose a novel and simple regression-based specification test that can be used to test these models against each other.
|Date of creation:||12 Jul 2010|
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- Joao Santos Silva & Silvana Tenreyro, 2005.
"The log of gravity,"
LSE Research Online Documents on Economics
3744, London School of Economics and Political Science, LSE Library.
- Costas Arkolakis & Arnaud Costinot & Andrés Rodríguez-Clare, 2009.
"New Trade Models, Same Old Gains?,"
NBER Working Papers
15628, National Bureau of Economic Research, Inc.
- Santos Silva, Joao M C & Tenreyro, Silvana, 2009.
"Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator,"
Economics Discussion Papers
3546, University of Essex, Department of Economics.
- Santos Silva, J.M.C. & Tenreyro, Silvana, 2011. "Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator," Economics Letters, Elsevier, vol. 112(2), pages 220-222, August.
- J. M. C. Santos Silva & Silvana Tenreyro, 2009. "Further Simulation Evidence on the Performance of the Poisson Pseudo-Maximum Likelihood Estimator," CEP Discussion Papers dp0933, Centre for Economic Performance, LSE.
- Joao Santos Silva & Silvana Tenreyro, 2009. "Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator," LSE Research Online Documents on Economics 25506, London School of Economics and Political Science, LSE Library.
- J M C Santos Silva, 1996.
"A Score Test for Non-nested Hypotheses with Applications to Discrete Data Models,"
96-28 ISSN 1350-6722, University College London, Department of Economics.
- J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.
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