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12 months |
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Last month |
3 months |
12 months |
Total |

A Comparison of Bias Approximations for the 2SLS Estimator |
0 |
0 |
0 |
22 |
0 |
0 |
2 |
86 |

A Note on R2 in the Instrumental Variables Model |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
20 |

A Weak Instrument F-Test in Linear IV Models with Multiple Endogenous Variables |
2 |
3 |
16 |
303 |
7 |
17 |
91 |
823 |

A Weak Instrument F-Test in Linear IV Models with Multiple Endogenous Variables |
0 |
0 |
0 |
23 |
1 |
2 |
9 |
125 |

A comparison of bias approximations for the 2SLS estimator |
0 |
0 |
0 |
64 |
0 |
0 |
2 |
157 |

A finite sample correction for the variance of linear two-step GMM estimators |
0 |
0 |
2 |
671 |
0 |
0 |
12 |
2,158 |

A weak instrument F-test in linear IV models with multiple endogenous variables |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |

A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
86 |

A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
0 |
0 |
30 |
0 |
0 |
1 |
85 |

Binary Outcomes, OLS, 2SLS and IV Probit |
0 |
0 |
2 |
23 |
0 |
1 |
15 |
93 |

Child height, health and human capital: evidence using genetic markers |
0 |
0 |
0 |
89 |
0 |
0 |
0 |
240 |

Child height, health and human capital: evidence using genetic markers |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
47 |

Cluster effects and simultaneity in multilevel models |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
941 |

Criterion-Based Inference for GMM in Linear Dynamic Panel Data Models |
0 |
0 |
1 |
159 |
0 |
0 |
1 |
383 |

Criterion-based inference for GMM in autoregressive panel-data models |
0 |
0 |
1 |
244 |
0 |
0 |
3 |
946 |

Deviance Based R-Squared Mesures of Goodness of Fit for Generalized Linear Models |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
1,889 |

Did 'Targets and Terror' Reduce Waiting times in England for Hospital Care? |
0 |
0 |
3 |
288 |
1 |
4 |
14 |
1,009 |

Economic Instruments for Obesity Prevention: Results of a Scoping Review and Modified Delphi Survey |
0 |
0 |
0 |
55 |
0 |
16 |
47 |
244 |

Efficiency comparisons for a system GMM estimator in dynamic panel data models |
0 |
1 |
3 |
353 |
0 |
1 |
5 |
782 |

Endogeneity in count data models; an application to demand for health care |
0 |
1 |
1 |
17 |
0 |
4 |
5 |
1,060 |

Estimating Structural Mean Models with Multiple Instrumental Variables using the Generalised Method of Moments |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
177 |

Estimating structural mean models with multiple instrumental variables using the generalised method of moments |
0 |
0 |
0 |
55 |
0 |
0 |
1 |
94 |

Estimating structural mean models with multiple instrumental variables using the generalised method of moments |
0 |
0 |
1 |
27 |
0 |
0 |
4 |
165 |

Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator |
3 |
5 |
16 |
1,967 |
10 |
19 |
49 |
3,485 |

Estimation of Panel Data Models with Binary Indicators when Treatment Effects are not Constant over Time |
0 |
1 |
3 |
391 |
0 |
1 |
7 |
1,033 |

ExpEnd, A Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and panel data |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

ExpEnd, A Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and panel data |
0 |
0 |
0 |
678 |
0 |
0 |
1 |
1,876 |

Finite Sample Inference for GMM Estimators in Linear Panel Data Models |
0 |
0 |
2 |
461 |
0 |
0 |
5 |
821 |

Finite sample inference for GMM estimators in linear panel data models |
0 |
0 |
2 |
270 |
0 |
0 |
2 |
841 |

Finite sample inference for GMM estimators in linear panel data models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

GMM for panel count data models |
0 |
0 |
2 |
802 |
0 |
2 |
14 |
1,888 |

GMM for panel count data models |
0 |
0 |
3 |
202 |
0 |
0 |
7 |
472 |

GMM with many weak moment conditions |
0 |
1 |
1 |
347 |
0 |
1 |
1 |
923 |

Genetic Markers as Instrumental Variables |
0 |
0 |
0 |
54 |
0 |
0 |
0 |
241 |

Genetic Markers as Instrumental Variables:An Application to Child Fat Mass and Academic Achievement |
0 |
0 |
0 |
85 |
0 |
0 |
0 |
252 |

Genetic markers as instrumental variables: an application to child fat mass and academic achievement |
0 |
1 |
1 |
7 |
0 |
1 |
1 |
84 |

Genetic markers as instrumental variables: an application to child fat mass and academic achievement |
0 |
0 |
0 |
76 |
0 |
0 |
1 |
223 |

How To Sell A Condom? The Impact Of Demand Creation Tools On Male And Female Condom Sales In Resource Limited Settings |
0 |
0 |
1 |
33 |
0 |
10 |
30 |
327 |

How important is pro-social behaviour in the delivery of public services? |
0 |
0 |
1 |
226 |
1 |
1 |
4 |
1,300 |

Identification of Causal Effects on Binary Outcomes Using Structural Mean Models |
0 |
0 |
0 |
48 |
0 |
0 |
0 |
230 |

Identification of causal effects on binary outcomes using structural mean models |
0 |
0 |
0 |
71 |
0 |
0 |
0 |
223 |

Identifying demand for health resources using waiting times information |
0 |
0 |
0 |
156 |
0 |
0 |
0 |
584 |

Incentives and Targets in Hospital Care: Evidence from a Natural Experiment |
0 |
0 |
0 |
150 |
0 |
1 |
4 |
410 |

Individual effects and dynamics in count data models |
0 |
1 |
3 |
444 |
0 |
2 |
10 |
1,206 |

Instrumental Variable Estimators for Binary Outcomes |
0 |
0 |
2 |
356 |
2 |
5 |
9 |
1,519 |

Instrumental Variable Estimators for Binary Outcomes |
0 |
0 |
0 |
118 |
0 |
1 |
5 |
324 |

Is it different for zeros? Discriminating between models for non-negative data with many zeros |
0 |
0 |
0 |
169 |
0 |
0 |
1 |
299 |

Keep it Simple? Predicting Primary Health Care Costs with Measures of Morbidity and Multimorbidity |
0 |
0 |
0 |
70 |
0 |
0 |
1 |
295 |

Moment Conditions for AR(1) Panel Data Models with Missing Outcomes |
0 |
1 |
1 |
53 |
1 |
3 |
6 |
106 |

Moment conditions for dynamic panel data models with multiplicative individual effects in the conditional variance |
0 |
0 |
0 |
66 |
0 |
0 |
1 |
313 |

More Reliable Inference for Segregation Indices |
0 |
0 |
1 |
84 |
0 |
1 |
5 |
327 |

More reliable inference for the dissimilarity index of segregation |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
63 |

On the Power Curves of the Conditional Likelihood Ratio and Related Tests for Instrumental Variables Regression with Weak Instruments |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
9 |

On the Power of the Conditional Likelihood Ratio and Related Tests for Weak-Instrument Robust Inference |
0 |
0 |
1 |
41 |
0 |
0 |
4 |
56 |

On the Stock-Yogo Tables |
0 |
0 |
0 |
110 |
0 |
1 |
13 |
245 |

On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
0 |
26 |
0 |
0 |
5 |
92 |

On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
2 |
29 |
0 |
0 |
3 |
64 |

On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
1 |
97 |
0 |
2 |
4 |
156 |

On the instrumental variable estimation with many weak and invalid instruments |
0 |
1 |
26 |
26 |
0 |
1 |
10 |
10 |

Parental income and children's smoking behaviour: evidence from the British Household Panel Survey |
0 |
0 |
2 |
135 |
0 |
0 |
3 |
748 |

Peer effects in charitable giving: Evidence from the (running) field |
0 |
0 |
0 |
20 |
1 |
1 |
4 |
106 |

Peer effects in charitable giving: Evidence from the (running) field |
0 |
0 |
0 |
18 |
1 |
2 |
6 |
80 |

Pharmaceutical promotion and GP prescription behaviour |
0 |
0 |
0 |
635 |
0 |
1 |
1 |
2,500 |

Projection estimators for autoregressive panel data models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

Projection estimators for autoregressive panel data models |
0 |
0 |
0 |
135 |
0 |
0 |
1 |
389 |

R-Squared Measures for Count Data Regression Models with Applications to Health Care Utilization |
0 |
0 |
0 |
0 |
1 |
2 |
9 |
1,231 |

Robust Inference for the Two-Sample 2SLS Estimator |
0 |
1 |
3 |
78 |
1 |
4 |
14 |
131 |

Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator |
0 |
0 |
2 |
2 |
2 |
5 |
11 |
11 |

Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator |
0 |
0 |
10 |
10 |
0 |
1 |
2 |
2 |

Technological Change Around The World: Evidence From Heart Attack Care |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
10 |

Testing Over- and Underidentification in Linear Models, with Applications to Dynamic Panel Data and Asset-Pricing Models |
4 |
10 |
37 |
260 |
8 |
28 |
101 |
647 |

Testing competing models for non-negative data with many zeros |
0 |
0 |
1 |
66 |
0 |
3 |
5 |
180 |

The Causal Effects of Education on Adult Health, Mortality and Income: Evidence from Mendelian Randomization and the Raising of the School Leaving Age |
0 |
0 |
0 |
52 |
0 |
0 |
5 |
149 |

The Causal Effects of Education on Adult Health, Mortality and Income: Evidence from Mendelian Randomization and the Raising of the School Leaving Age |
0 |
0 |
1 |
63 |
0 |
0 |
3 |
164 |

The Confidence Interval Method for Selecting Valid Instrumental Variables |
0 |
0 |
0 |
100 |
0 |
3 |
6 |
234 |

The Falsification Adaptive Set in Linear Models with Instrumental Variables that Violate the Exogeneity or Exclusion Restriction |
0 |
1 |
35 |
35 |
0 |
3 |
8 |
8 |

The Relationship Between Health Policies, Medical Technology Trends and Outcomes |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
35 |

The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models |
0 |
0 |
0 |
303 |
0 |
0 |
0 |
846 |

The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models |
0 |
0 |
0 |
109 |
2 |
3 |
3 |
260 |

The asymptotic distribution of the sum of weighted squared residual in binary choice models. A x2 test |
0 |
0 |
0 |
8 |
0 |
0 |
3 |
32 |

The weak instrument problem of the system GMM estimator in dynamic panel data models |
0 |
0 |
0 |
429 |
0 |
0 |
2 |
1,225 |

Two-Stage Least Squares as Minimum Distance |
0 |
0 |
0 |
109 |
0 |
2 |
4 |
96 |

Two-part multiple spell models for health care demand |
0 |
0 |
0 |
299 |
0 |
0 |
2 |
1,909 |

Unit Roots and Identification in Autoregressive Panel Data Models: A Comparison of Alternative Tests |
1 |
3 |
5 |
861 |
3 |
7 |
25 |
1,769 |

Unit roots: identification and testing in micro panels |
0 |
0 |
0 |
230 |
0 |
0 |
4 |
550 |

Wages and the Demand for Health - A Life Cycle Analysis |
0 |
0 |
1 |
326 |
0 |
0 |
4 |
987 |

Wages and the demand for health - a life cycle analysis |
0 |
0 |
1 |
229 |
0 |
0 |
3 |
816 |

Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level |
0 |
0 |
1 |
235 |
0 |
0 |
4 |
927 |

Weak Instruments, First-Stage Heteroskedasticity and the Robust F-test |
1 |
1 |
2 |
81 |
2 |
4 |
18 |
237 |

Weak Instruments, First-Stage Heteroskedasticity, the Robust F-Test and a GMM Estimator with the Weight Matrix Based on First-Stage Residuals |
0 |
1 |
19 |
19 |
0 |
3 |
9 |
9 |

Total Working Papers |
12 |
34 |
220 |
15,054 |
45 |
171 |
680 |
48,196 |