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We consider the following problem. There is a structural equation of interest that contains an explanatory variable that theory predicts is endogenous. There are one or more instrumental variables tha...
Our paper provides a comparative perspective on the development of public primary education in four of the largest developing economies circa 1910: Brazil, Russia, India and China (BRIC). These four c...
This paper considers a sequence of discrete-time random walk markets with a safe and a single risky investment opportunity, and gives conditions for the existence of arbitrages or free lunches with va...
We construct explicitly a bridge process whose distribution, in its own filtration, is the same as the difference of two independent Poisson processes with the same intensity and its time 1 value sati...
This paper considers the estimation and testing of a within-group two-stage least squares (TSLS) estimator for instruments with varying degrees of weakness in a longitudinal (panel) Data model. We sho...
This work is focused on the solvability of initial-boundary value problems for degenerate parabolic partial differential equations that arise in the pricing of Asian options, and on the investigation...
We show that independently repeated cross-sectional data can reduce the asymptotic bias when instruments are weakly correlated to the endogenous variables. When both N and T go to infinite, we can obt...
In this paper, we study a weak instrumental variables model for longitudinal data. A two stage least-squares estimator (the instrumental variables estimator) is presented. We show that the asymp-totic...
We investigate the properties of correlation based networks originating from economic complex systems, such as the network of stocks traded at the New York Stock Exchange (NYSE). The weaker links (lo...
In this paper, we consider a simultaneous equations model under a functional coefficient representation for the structural equation of interest and adopt the local-to-zero assumptions as in Staiger an...
This chapter studies the asymptotic properties of estimation and inference with weak identification and near exogeneity in a GMM framework with instrumental variables. We obtained limiting results und...

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