Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/195553 
Year of Publication: 
2017
Citation: 
[Journal:] Quantitative Economics [ISSN:] 1759-7331 [Volume:] 8 [Issue:] 3 [Publisher:] The Econometric Society [Place:] New Haven, CT [Year:] 2017 [Pages:] 729-760
Publisher: 
The Econometric Society, New Haven, CT
Abstract: 
We consider a latent group panel structure as recently studied by Su, Shi, and Phillips (2016), where the number of groups is unknown and has to be determined empirically. We propose a testing procedure to determine the number of groups. Our test is a residual-based Lagrange multiplier-type test. We show that after being appropriately standardized, our test is asymptotically normally distributed under the null hypothesis of a given number of groups and has the power to detect deviations from the null. Monte Carlo simulations show that our test performs remark- ably well in finite samples. We apply our method to study the effect of income on democracy and find strong evidence of heterogeneity in the slope coefficients. Our testing procedure determines three latent groups among 74 countries.
Subjects: 
Classifier Lasso
dynamic panel
latent structure
penalized least square
number of groups
test
JEL: 
C12
C23
C33
C38
C52
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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