A Specification Test for Instrumental Variables Regression with Many Instruments [PDF]
This paper considers specification testing for instrumental variables estimation in the presence of many instruments. The test proposed is a modified version of the Sargan (1958, Econometrica 26(3): 393-415) test of overidentifying restrictions. The test
Yoonseok Lee, Ryo Okui
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Improved Particle Swarm Optimization Based on Entropy and Its Application in Implicit Generalized Predictive Control. [PDF]
Entropy (Basel), 2021 Zhang J, Zhai Y, Han Z, Lu J.
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Circular economy of medical waste: novel intelligent medical waste management framework based on extension linear Diophantine fuzzy FDOSM and neural network approach. [PDF]
Environ Sci Pollut Res Int, 2023 Chew X +5 more
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Unifying Aspects of Generalized Calculus. [PDF]
Entropy (Basel), 2020 Czachor M.
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Translates of rational points along expanding closed horocycles on the modular surface. [PDF]
Math Ann, 2022 Burrin C, Shapira U, Yu S.
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Uncomputability and complexity of quantum control. [PDF]
Sci Rep, 2020 Bondar DI, Pechen AN.
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Computing all integer solutions of a genus 1 equation [PDF]
The Elliptic Logarithm Method has been applied with great successto the problem of computing all integer solutions of equations ofdegree 3 and 4 defining elliptic curves. We extend this methodto include any equation f(u,v)=0 that defines a curve of genus
Stroeker, R.J., Tzanakis, N.
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Approximating the Distribution of the Instrumental Variables Estimator when the Concentration Parameter is Small. [PDF]
This paper presents a new approximation to the exact sampling distribution of the instrumental variables estimator in simultaneous equations models. It differs from many of the approximations currently available, Edgeworth expansions for example, in that
C. L. Skeels, D. S. Poskitt
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On generating functions in additive number theory, II: lower-order terms and applications to PDEs. [PDF]
Math Ann, 2021 Brandes J +4 more
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Identification and Inference with Many Invalid Instruments [PDF]
We analyze linear models with a single endogenous regressor in the presence of many instrumental variables. We weaken a key assumption typically made in this literature by allowing all the instruments to have direct effects on the outcome.
John N. Friedman +4 more
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