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Some Identification Issues in Nonparametric Linear Models with Endogenous Regressors

Severini, Thomas A.; Tripathi, Gautam - 2005

, such as a regression function, and treating it as a conditional expectation is central to its identification and estimation … intuition about identification and estimation for endogenous nonparametric regression and related models. …

Persistent link: https://www.econbiz.de/10009430113

Understanding the relationship between founder-CEOs and firm performance

Adams, Renee; Heitor, Almeida; Ferreira, Daniel - 2009

We use instrumental variables methods to disentangle the effect of founder–CEOs on performance from the effect of performance on founder–CEO status. Our instruments for founder–CEO status are the proportion of the firm's founders that are dead and the number of people who founded the...

Persistent link: https://www.econbiz.de/10009448159

The returns to education : microeconomics

Harmon, Colm; Oosterbeek, Hessel; Walker, Ian - 2003

In this paper we focus on education as a private decision to invest in ‘human capital’ and the estimation of the rate … returns to the individual is compelling. Despite some of these issues surrounding the estimation of the return to schooling …

Persistent link: https://www.econbiz.de/10009475659

Adaptive weighting for flexible estimation in nonparametric regression models.

Nosedal-Sanchez, Alvaro - 2011

We propose a new method to find spatially adaptive smoothing splines. This new method breaks down the interval [0, 1] into p disjoint sub-intervals. Then we define p functional components in [0, 1], which have two importantfeatures. First, the purpose of each of these p components is to estimate...

Persistent link: https://www.econbiz.de/10009429662

Bandwidth Selection in Nonparametric Kernel Estimation ; Bandweitenwahl bei nichtparametrischer Kernschätzung

Schindler, Anja - 2013

Persistent link: https://www.econbiz.de/10010353278

ESSAYS IN DEMOGRAPHIC ECONOMICS

Reinhold, Steffen - 2008

In the ¯rst of the essays, I reassess the relationship between premarital cohab-itation and marital instability both theoretically and empirically. It has become astylized fact that premarital cohabitation is positively correlated with the likelihood ofmarital dissolution. This is...

Persistent link: https://www.econbiz.de/10009429603

CAUSAL EFFECT ESTIMATION UNDER LINEAR AND LOG-LINEAR STRUCTURAL NESTED MEAN MODELS IN THE PRESENCE OF UNMEASURED CONFOUNDING

Wang, Chia-Hao - 2010

analyses are biased due to unmeasured confounding. The instrumental variables (IV; Angrist et al., 1996) and G-estimation … investigate the validity of these IV methods for estimation under a log-linear SNMM. The results show that the IV estimators are … biased in the presence of unmeasured confounding. Therefore, we consider the G-estimation approach as an alternative solution …

Persistent link: https://www.econbiz.de/10009439201

Wohlstand und Gesundheit : neuere empirische Resultate und theoretische Erklärungsversuche

Hupfeld, Stefan - 2004

Diese Arbeit umfasst eine Darstellung des Grossman-Modells und der Akkumulation von Gesundheitskapital. Es werden ältere empirische Untersuchungen (Wagstaff) vorgestellt und aus methodischer Sicht kritisiert, verbesserte ökonometrische Methoden vorgeschlagen und deren Anwendung in aktuellen...

Persistent link: https://www.econbiz.de/10009471616

Accrual Noise Ratio as a Measure of Accrual Reliability

Njoroge, Kenneth - 2009

I develop an empirical model that estimates a firm-specific accrual noise ratio (ANR), an operational and statistically grounded measure of accrual reliability, and test the measure's construct validity. The model allows accrual reliability to vary across firms, which is particularly important...

Persistent link: https://www.econbiz.de/10009475468

Solving and Testing for Regressor-Error (in)Dependence When no Instrumental Variables are Available: With New Evidence for the Effect of Education on Income

Ebbes, Peter; Wedel, Michel; Böckenholt, Ulf; … - 2005

-error correlations (endogeneity) are likely to be present. The LIV method utilizes a discrete latent variable model that accounts for …

Persistent link: https://www.econbiz.de/10009477430