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Results 1 - 10
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99,007
Instrumental Variables Methods in Experimental Criminological Research
- What, Why and How’, Journal of Experimental Criminology
, 2006
"... Abstract. Quantitative criminology focuses on straightforward causal questions that are ideally addressed with randomized experiments. In practice, however, traditional randomized trials are difficult to implement in the untidy world of criminal justice. Even when randomized trials are implemented, ..."
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Cited by 22 (0 self)
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, not everyone is treated as intended and some control subjects may obtain experimental services. Treatments may also be more complicated than a simple yes/no coding can capture. This paper argues that the instrumental variables methods (IV) used by economists to solve omitted variables bias problems
Semiparametric Instrumental Variable Methods for Causal Respond Models
- Massachusetts Institute of Technology PhD Thesis
, 1999
"... This dissertation proposes new instrumental variable methods to identify, estimate and test for causal effects of endogenous treatments. These new methods are distinguished by the combination of nonparametric identifying assumptions and semiparametric estimators that provide a parsimoniuous summary ..."
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Cited by 1 (0 self)
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This dissertation proposes new instrumental variable methods to identify, estimate and test for causal effects of endogenous treatments. These new methods are distinguished by the combination of nonparametric identifying assumptions and semiparametric estimators that provide a parsimoniuous summary
Instrumental variable methods for closed-loop system identification
- Automatica
, 2005
"... Abstract: In this paper, several instrumental variable (IV) and instrumental variable-related methods for closed-loop system identification are considered and set in an extended IV frame-work. Extended IV methods require the appropriate choice of particular design variables, as the number and type o ..."
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Cited by 8 (3 self)
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Abstract: In this paper, several instrumental variable (IV) and instrumental variable-related methods for closed-loop system identification are considered and set in an extended IV frame-work. Extended IV methods require the appropriate choice of particular design variables, as the number and type
Instrumental Variables Methods for Recovering Continuous Linear Functionals
- Journal of Econometrics
, 2011
"... This paper develops methods for estimating continuous linear functionals in a nonparametric instrumental variables (IV) setting. Examples of such functionals include consumer surplus and applications to tests for shape restrictions like monotonicity, concavity and additive separability. The estimati ..."
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Cited by 7 (2 self)
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This paper develops methods for estimating continuous linear functionals in a nonparametric instrumental variables (IV) setting. Examples of such functionals include consumer surplus and applications to tests for shape restrictions like monotonicity, concavity and additive separability
2003), “Model quality assessment for Instrumental Variable methods
- In Proc. 42st Conf. on Decision and Control, Maui
, 2003
"... Abstract-In this paper the problem of computing uncertainty regions for models identified through an Instrumental Variable technique is considered. Recently, it has been pointed out that, in certain operating conditions, the asymptotic theory of system identification (the most widely used method fo ..."
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Cited by 4 (2 self)
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Abstract-In this paper the problem of computing uncertainty regions for models identified through an Instrumental Variable technique is considered. Recently, it has been pointed out that, in certain operating conditions, the asymptotic theory of system identification (the most widely used method
Instrumental Variable Methods in Program Evaluation Class Notes
, 2009
"... • Basic ideas when gains are heterogeneous: — Availability of IVs by itself does not guarantee identification of average treatment effects. — Different instruments lead to different parameters even under instrument validity (counter to standard GMM thinking). ..."
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• Basic ideas when gains are heterogeneous: — Availability of IVs by itself does not guarantee identification of average treatment effects. — Different instruments lead to different parameters even under instrument validity (counter to standard GMM thinking).
Efficiency of Prediction Error and Instrumental Variable Methods for Closed-loop Identification
, 1998
"... We study the efficiency of a number of closed-loop identification methods. Results will be given for methods based on the prediction error approach as well as those based on the instrumental variable approach. It is shown that all methods typically gives worse accuracy than a directly applied predic ..."
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Cited by 6 (0 self)
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We study the efficiency of a number of closed-loop identification methods. Results will be given for methods based on the prediction error approach as well as those based on the instrumental variable approach. It is shown that all methods typically gives worse accuracy than a directly applied
Instrumental Variables Regression with Weak Instruments
- ECONOMETRICA
, 1997
"... ... The theory suggests concrete guidelines for applied work, including using nonstandard methods for construction of confidence regions. These results are used to interpret Angrist and Krueger's (1991) estimates of the returns to education: whereas TSLS estimates with many instruments approac ..."
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Cited by 1691 (15 self)
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... The theory suggests concrete guidelines for applied work, including using nonstandard methods for construction of confidence regions. These results are used to interpret Angrist and Krueger's (1991) estimates of the returns to education: whereas TSLS estimates with many instruments
A Subspace Based Instrumental Variable Method For State-Space System Identification
- In: Proc. of SYSID '94
, 1994
"... . Traditional prediction-error techniques for multivariable system identification require canonical descriptions using a large number of parameters. This problem may be avoided using subspace based methods, since these estimate a state-space model directly from the data. In this paper, a subspace ba ..."
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Cited by 3 (0 self)
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of the subspace estimate in terms of the coefficients of the characteristic polynomial. A quadratic problem is obtain and based on a statistical analysis, an optimal weighting derived. Keywords. System identification; multivariable systems; parameter estimation; instrumental variable method 1 INTRODUCTION
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