Inferring the rank of a matrix

Cragg, John G.; Donald, Stephanie Hemelryk

doi:10.1016/0304-4076(95)01790-9

Cited by 228 publications

(199 citation statements)

References 11 publications

Supporting

Mentioning

196

Contrasting

Unclassified

Order By: Relevance

“…In all four of these columns, over-identi cation tests do not reject the null hypothesis that the instruments are exogenous at the 10% level. The Cragg Donald statistic Cragg and Donald (1997) is also well above the Stock and Yogo's threshold corresponding to the 10% p-value. On top of the intuitive arguments displayed above, these tests corroborate the validity of our instrumental strategy.…”

Section: Robustness Checks and Limitations Of The Empirical Strategymentioning

confidence: 79%

Customer Discrimination and Employment Outcomes: Theory and Evidence from the French Labor Market

Combes

Decreuse

Laouénan

et al. 2016

Journal of Labor Economics

View full text Add to dashboard Cite

The paper investigates the link between the over-exposure of African immigrants to unemployment in France and their under-representation in jobs in contact with customers. We build a two-sector matching model with ethnic sector-speci c preferences, economy-wide employer discrimination, and customer discrimination in jobs in contact with customers. The outcomes of the model allow us to build a test of ethnic discrimination in general and customer discrimination in particular. We run the test on French individual data in a cross-section of local labor markets (Employment Areas). Our results show that there is both employer and customer discrimination in the French labor market. JEL classi cation: J15, J61, R23

show abstract

Section: Robustness Checks and Limitations Of The Empirical Strategymentioning

confidence: 79%

Customer Discrimination and Employment Outcomes: Theory and Evidence from the French Labor Market

Combes

Decreuse

Laouénan

et al. 2016

Journal of Labor Economics

View full text Add to dashboard Cite

show abstract

“…The local rank rk{F (·, z)} of the system F (x, z) = A(z)H(x) can be shown to be the rank of the matrix A(z). We therefore estimate A(z) by using kernel smoothing and then test for its rank by using a minimum-χ 2 test for the rank of a matrix (Cragg and Donald (1997)). For more information on rank estimation in this model, see Donald et al (2005).…”

Section: Simulation Studymentioning

confidence: 99%

“…Under a semiparametric model, the rank of a demand system is typically expressed as the rank of some matrix. The rank of a matrix can be estimated by using one of the estimation procedures found in the literature, for example, the minimum-χ 2 test of Cragg and Donald (1997), the LDU-based test of Gill and Lewbel (1992) (with a correction of Cragg and Donald (1996)) or the test based on SVD of Kleibergen and Paap (2006). Under a nonparametric model, the rank of a demand system is estimated by following the central work of Donald (1997).…”

Section: Introductionmentioning

confidence: 99%

Local rank tests in a multivariate nonparametric relationship

Fortuna¹

2008

Journal of Econometrics

View full text Add to dashboard Cite

show abstract

“…In two periods, after the Civil War (1876-1883) and again in the 1970s and 1980s, SIV-1 outperforms all models and the better of the two SIV models outperforms both WN-10 and WN-2. This is a new contribution to the discussion of the dimensionality of roll call data (Cragg and Donald, 1997;Heckman and Snyder, 1997;Poole, 2005;Poole and Rosenthal, 2008;Poole et al, 1992). The debate over dimensionality has been lively at times, but the general conclusion that has emerged is that one or two substantive dimensions explain virtually everything for US Congresses (Poole, 2005).…”

Section: Siv Outperforms W-nominatementioning

confidence: 99%

The social identity voting model: Ideology and community structures

Pauls

Leibon

Rockmore

2015

Research & Politics

View full text Add to dashboard Cite

Social identity voting (SIV) is a new model of voting behavior based on the principles of social identity theory. We introduce and use this model to analyze roll call votes for the 35 th through 112 th US Congresses. Comparing out-of-sample accuracy of SIV and Poole and Rosenthal's Weighted NOMINAL Three-step Estimation (W-NOMINATE), we find that SIV performs better than the one-or two-dimensional W-NOMINATE model and that generally, W-NOMINATE needs up to 10 dimensions to produce accuracy comparable to that of SIV. The differences between SIV and W-NOMINATE are further clarified in three case studies: first, a longitudinal examination of all Congresses; second, an analysis of the 112 th House of Representatives; and third, a study of the Tea Party caucus in the 112 th House of Representatives. Each study sheds new light on the potential motivations driving voting behavior, supporting our assertion that the SIV and W-NOMINATE models provide two distinct approaches to understanding voting records. SIV, with its emphasis on political identity derived from group membership, expresses combinations of individual and group preferences which contribute to legislators' ideological classifications.

show abstract

Inferring the rank of a matrix

Cited by 228 publications

References 11 publications

Customer Discrimination and Employment Outcomes: Theory and Evidence from the French Labor Market

Customer Discrimination and Employment Outcomes: Theory and Evidence from the French Labor Market

Local rank tests in a multivariate nonparametric relationship

The social identity voting model: Ideology and community structures

Contact Info

Product

Resources

About