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:||Jul 2010|
|Date of revision:|
|Contact details of provider:|| Postal: The Institute for Fiscal Studies 7 Ridgmount Street LONDON WC1E 7AE|
Phone: (+44) 020 7291 4800
Fax: (+44) 020 7323 4780
Web page: http://cemmap.ifs.org.uk
More information through EDIRC
|Order Information:|| Postal: The Institute for Fiscal Studies 7 Ridgmount Street LONDON WC1E 7AE|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Costas Arkolakis & Arnaud Costinot & Andrés Rodríguez-Clare, 2009.
"New Trade Models, Same Old Gains?,"
NBER Working Papers
15628, National Bureau of Economic Research, Inc.
- 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.
- 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.
- 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.
- 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 & 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.
When requesting a correction, please mention this item's handle: RePEc:ifs:cemmap:20/10. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Emma Hyman)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.