Economics at your fingertips  

Tobit models with social interactions: Complete vs incomplete information

Chao Yang, Lung-Fei Lee () and Xi Qu

Regional Science and Urban Economics, 2018, vol. 73, issue C, 30-50

Abstract: In many network data sets, the outcomes of interest are equal to zero for some agents and strictly positive for others. They can be analyzed by Tobit models with social interactions with different assumptions on information structures. Under complete information, all the observables and unobservables are publicly known. Under incomplete information, unobservables and some covariates collected by econometricians can be private information for agents. In practice, both scenarios can be feasible but will lead to different implications. A non-nested Cox-type test is proposed for the specification test. We use the Monte Carlo simulations to demonstrate its small sample properties. When applying our test to study property tax rates among adjacent municipalities in North Carolina, significant competing effects are found under both information structures. However, the Cox test is in favor of the complete information model, which implies a much larger income marginal effects and a much smaller population marginal effects on tax rates, compared to the model with incomplete information.

Keywords: Tobit models; Cox test; Complete information; Incomplete information; Social interactions (search for similar items in EconPapers)
JEL-codes: C24 C52 C57 C31 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Regional Science and Urban Economics is currently edited by D.P McMillen and Y. Zenou

More articles in Regional Science and Urban Economics from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2019-09-29
Handle: RePEc:eee:regeco:v:73:y:2018:i:c:p:30-50