| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Comparison of Bias Approximations for the 2SLS Estimator |
0 |
0 |
0 |
22 |
0 |
1 |
2 |
89 |
| A Note on R2 in the Instrumental Variables Model |
0 |
0 |
2 |
7 |
1 |
2 |
11 |
35 |
| A Weak Instrument F-Test in Linear IV Models with Multiple Endogenous Variables |
0 |
0 |
1 |
28 |
1 |
1 |
5 |
139 |
| A Weak Instrument F-Test in Linear IV Models with Multiple Endogenous Variables |
0 |
0 |
7 |
320 |
1 |
2 |
40 |
915 |
| A comparison of bias approximations for the 2SLS estimator |
0 |
0 |
0 |
64 |
0 |
0 |
0 |
157 |
| A finite sample correction for the variance of linear two-step GMM estimators |
0 |
0 |
1 |
673 |
0 |
2 |
14 |
2,183 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
87 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
2 |
3 |
8 |
0 |
4 |
13 |
32 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
0 |
1 |
23 |
0 |
0 |
1 |
89 |
| Binary Outcomes, OLS, 2SLS and IV Probit |
0 |
0 |
0 |
25 |
0 |
0 |
3 |
103 |
| Child height, health and human capital: evidence using genetic markers |
0 |
0 |
0 |
89 |
0 |
1 |
1 |
241 |
| Child height, health and human capital: evidence using genetic markers |
0 |
0 |
0 |
4 |
0 |
1 |
3 |
50 |
| Cluster effects and simultaneity in multilevel models |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
945 |
| Criterion-Based Inference for GMM in Linear Dynamic Panel Data Models |
0 |
0 |
1 |
160 |
0 |
0 |
1 |
384 |
| Criterion-based inference for GMM in autoregressive panel-data models |
1 |
2 |
2 |
248 |
2 |
3 |
3 |
954 |
| Deviance Based R-Squared Mesures of Goodness of Fit for Generalized Linear Models |
0 |
0 |
0 |
2 |
2 |
4 |
4 |
1,895 |
| Did 'Targets and Terror' Reduce Waiting times in England for Hospital Care? |
0 |
0 |
0 |
288 |
0 |
2 |
3 |
1,018 |
| Economic Instruments for Obesity Prevention: Results of a Scoping Review and Modified Delphi Survey |
0 |
0 |
0 |
55 |
0 |
0 |
2 |
257 |
| Efficiency comparisons for a system GMM estimator in dynamic panel data models |
0 |
0 |
3 |
358 |
0 |
0 |
6 |
792 |
| Endogeneity in count data models; an application to demand for health care |
0 |
2 |
5 |
23 |
4 |
6 |
13 |
1,075 |
| Estimating Structural Mean Models with Multiple Instrumental Variables using the Generalised Method of Moments |
0 |
0 |
0 |
29 |
0 |
0 |
1 |
178 |
| Estimating structural mean models with multiple instrumental variables using the generalised method of moments |
0 |
0 |
0 |
55 |
0 |
1 |
2 |
96 |
| Estimating structural mean models with multiple instrumental variables using the generalised method of moments |
0 |
0 |
1 |
28 |
0 |
1 |
5 |
172 |
| Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator |
0 |
0 |
14 |
1,995 |
0 |
6 |
44 |
3,572 |
| Estimation of Panel Data Models with Binary Indicators when Treatment Effects are not Constant over Time |
0 |
0 |
2 |
395 |
1 |
2 |
7 |
1,044 |
| ExpEnd, A Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and panel data |
0 |
0 |
2 |
681 |
0 |
1 |
3 |
1,882 |
| 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 |
1 |
3 |
| Finite Sample Inference for GMM Estimators in Linear Panel Data Models |
1 |
2 |
2 |
464 |
2 |
4 |
10 |
836 |
| Finite sample inference for GMM estimators in linear panel data models |
0 |
1 |
1 |
1 |
0 |
1 |
2 |
2 |
| Finite sample inference for GMM estimators in linear panel data models |
0 |
0 |
0 |
270 |
0 |
1 |
1 |
844 |
| GMM for panel count data models |
0 |
0 |
2 |
806 |
0 |
0 |
7 |
1,902 |
| GMM for panel count data models |
0 |
0 |
1 |
203 |
0 |
0 |
2 |
475 |
| GMM with many weak moment conditions |
0 |
0 |
0 |
347 |
4 |
4 |
5 |
928 |
| Genetic Markers as Instrumental Variables |
0 |
0 |
0 |
54 |
0 |
0 |
0 |
245 |
| Genetic Markers as Instrumental Variables:An Application to Child Fat Mass and Academic Achievement |
0 |
0 |
0 |
85 |
0 |
0 |
2 |
255 |
| Genetic markers as instrumental variables: an application to child fat mass and academic achievement |
0 |
0 |
0 |
76 |
0 |
1 |
4 |
228 |
| Genetic markers as instrumental variables: an application to child fat mass and academic achievement |
0 |
0 |
0 |
7 |
0 |
0 |
3 |
87 |
| How To Sell A Condom? The Impact Of Demand Creation Tools On Male And Female Condom Sales In Resource Limited Settings |
0 |
0 |
0 |
33 |
0 |
1 |
2 |
342 |
| How important is pro-social behaviour in the delivery of public services? |
0 |
0 |
0 |
227 |
0 |
1 |
6 |
1,315 |
| Identification of Causal Effects on Binary Outcomes Using Structural Mean Models |
0 |
0 |
0 |
48 |
1 |
3 |
3 |
234 |
| 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 |
1 |
586 |
| Incentives and Targets in Hospital Care: Evidence from a Natural Experiment |
0 |
0 |
2 |
152 |
0 |
1 |
4 |
416 |
| Individual effects and dynamics in count data models |
0 |
0 |
3 |
449 |
0 |
2 |
6 |
1,222 |
| Instrumental Variable Estimators for Binary Outcomes |
0 |
0 |
0 |
122 |
0 |
0 |
3 |
344 |
| Instrumental Variable Estimators for Binary Outcomes |
0 |
0 |
0 |
359 |
0 |
0 |
2 |
1,528 |
| Is it different for zeros? Discriminating between models for non-negative data with many zeros |
0 |
0 |
0 |
171 |
0 |
0 |
1 |
303 |
| Keep it Simple? Predicting Primary Health Care Costs with Measures of Morbidity and Multimorbidity |
0 |
0 |
0 |
70 |
0 |
0 |
1 |
298 |
| Moment Conditions for AR(1) Panel Data Models with Missing Outcomes |
0 |
1 |
1 |
56 |
0 |
1 |
6 |
123 |
| Moment conditions for dynamic panel data models with multiplicative individual effects in the conditional variance |
0 |
0 |
1 |
67 |
0 |
2 |
4 |
318 |
| More Reliable Inference for Segregation Indices |
0 |
0 |
1 |
85 |
0 |
0 |
1 |
328 |
| More reliable inference for the dissimilarity index of segregation |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
64 |
| On the Power Curves of the Conditional Likelihood Ratio and Related Tests for Instrumental Variables Regression with Weak Instruments |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
13 |
| On the Power of the Conditional Likelihood Ratio and Related Tests for Weak-Instrument Robust Inference |
0 |
1 |
2 |
43 |
0 |
2 |
3 |
60 |
| On the Stock-Yogo Tables |
1 |
1 |
1 |
112 |
1 |
4 |
9 |
265 |
| On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
1 |
31 |
1 |
2 |
6 |
73 |
| On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
1 |
28 |
0 |
0 |
7 |
105 |
| On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
0 |
99 |
0 |
1 |
1 |
162 |
| On the instrumental variable estimation with many weak and invalid instruments |
0 |
0 |
0 |
28 |
0 |
1 |
3 |
21 |
| Parental income and children's smoking behaviour: evidence from the British Household Panel Survey |
0 |
1 |
1 |
137 |
0 |
2 |
3 |
752 |
| Peer effects in charitable giving: Evidence from the (running) field |
0 |
0 |
2 |
22 |
0 |
0 |
2 |
109 |
| Peer effects in charitable giving: Evidence from the (running) field |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
82 |
| Pharmaceutical promotion and GP prescription behaviour |
0 |
1 |
2 |
639 |
0 |
1 |
3 |
2,508 |
| Projection estimators for autoregressive panel data models |
0 |
0 |
0 |
0 |
0 |
3 |
4 |
4 |
| Projection estimators for autoregressive panel data models |
0 |
0 |
0 |
135 |
0 |
0 |
0 |
389 |
| R-Squared Measures for Count Data Regression Models with Applications to Health Care Utilization |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
1,237 |
| Robust Inference for the Two-Sample 2SLS Estimator |
0 |
0 |
0 |
78 |
1 |
2 |
9 |
146 |
| Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator |
0 |
0 |
3 |
6 |
1 |
4 |
15 |
31 |
| Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator |
0 |
1 |
3 |
18 |
0 |
1 |
3 |
10 |
| Technological Change Around The World: Evidence From Heart Attack Care |
0 |
0 |
0 |
1 |
0 |
1 |
2 |
13 |
| Testing Over- and Underidentification in Linear Models, with Applications to Dynamic Panel Data and Asset-Pricing Models |
1 |
3 |
28 |
330 |
3 |
7 |
66 |
841 |
| Testing competing models for non-negative data with many zeros |
0 |
0 |
0 |
67 |
0 |
2 |
4 |
186 |
| 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 |
1 |
151 |
| 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 |
64 |
0 |
1 |
4 |
170 |
| The Confidence Interval Method for Selecting Valid Instrumental Variables |
0 |
0 |
0 |
102 |
0 |
0 |
0 |
242 |
| The Falsification Adaptive Set in Linear Models with Instrumental Variables that Violate the Exclusion or Conditional Exogeneity Restriction |
0 |
0 |
1 |
40 |
0 |
1 |
4 |
20 |
| The Relationship Between Health Policies, Medical Technology Trends and Outcomes |
0 |
0 |
1 |
3 |
0 |
1 |
5 |
42 |
| The Robust F-Statistic as a Test for Weak Instruments |
0 |
0 |
1 |
18 |
0 |
0 |
5 |
27 |
| The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models |
0 |
0 |
4 |
114 |
1 |
1 |
8 |
271 |
| The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models |
0 |
0 |
2 |
307 |
1 |
4 |
12 |
869 |
| The asymptotic distribution of the sum of weighted squared residual in binary choice models. A x2 test |
0 |
0 |
0 |
9 |
0 |
1 |
3 |
40 |
| The weak instrument problem of the system GMM estimator in dynamic panel data models |
0 |
0 |
0 |
429 |
0 |
1 |
2 |
1,228 |
| Two-Stage Least Squares as Minimum Distance |
0 |
0 |
0 |
109 |
0 |
0 |
1 |
100 |
| Two-part multiple spell models for health care demand |
0 |
0 |
1 |
300 |
0 |
1 |
3 |
1,914 |
| Unit Roots and Identification in Autoregressive Panel Data Models: A Comparison of Alternative Tests |
0 |
0 |
2 |
873 |
0 |
3 |
14 |
1,810 |
| Unit roots: identification and testing in micro panels |
0 |
0 |
0 |
231 |
0 |
0 |
1 |
555 |
| Wages and the Demand for Health - A Life Cycle Analysis |
0 |
0 |
0 |
326 |
0 |
1 |
2 |
989 |
| Wages and the demand for health - a life cycle analysis |
0 |
0 |
0 |
229 |
1 |
1 |
3 |
820 |
| Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level |
0 |
0 |
1 |
238 |
1 |
1 |
4 |
933 |
| Weak Instruments, First-Stage Heteroskedasticity and the Robust F-test |
1 |
1 |
2 |
84 |
1 |
1 |
3 |
245 |
| Weak Instruments, First-Stage Heteroskedasticity, the Robust F-Test and a GMM Estimator with the Weight Matrix Based on First-Stage Residuals |
0 |
0 |
1 |
25 |
0 |
0 |
3 |
21 |
| Total Working Papers |
5 |
19 |
119 |
15,344 |
31 |
114 |
488 |
49,289 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A comparison of bias approximations for the two-stage least squares (2SLS) estimator |
0 |
0 |
1 |
51 |
0 |
1 |
10 |
151 |
| A finite sample correction for the variance of linear efficient two-step GMM estimators |
4 |
5 |
23 |
1,850 |
8 |
12 |
57 |
4,699 |
| A goodness-of-fit test in the multinomial legit model based on weighted squared residuals |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
28 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
1 |
24 |
408 |
4 |
24 |
159 |
2,142 |
| An R-squared measure of goodness of fit for some common nonlinear regression models |
0 |
0 |
12 |
629 |
2 |
5 |
40 |
2,502 |
| Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
7 |
| Binary outcomes, OLS, 2SLS and IV probit |
0 |
0 |
4 |
8 |
4 |
5 |
20 |
35 |
| Child height, health and human capital: Evidence using genetic markers |
0 |
0 |
0 |
31 |
0 |
1 |
4 |
162 |
| Cluster effects and simultaneity in multilevel models |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
305 |
| Criterion-based inference for GMM in autoregressive panel data models |
2 |
3 |
3 |
75 |
2 |
4 |
7 |
227 |
| Did 'Targets and Terror' Reduce Waiting Times in England for Hospital Care? |
0 |
0 |
4 |
97 |
0 |
0 |
8 |
426 |
| Endogeneity in Count Data Models: An Application to Demand for Health Care |
0 |
0 |
1 |
548 |
1 |
4 |
9 |
1,297 |
| Estimation of panel data models with binary indicators when treatment effects are not constant over time |
0 |
0 |
4 |
160 |
1 |
1 |
6 |
408 |
| Generalized Method of Moments With Many Weak Moment Conditions |
0 |
0 |
3 |
132 |
0 |
0 |
4 |
392 |
| Genetic markers as instrumental variables |
0 |
0 |
0 |
21 |
0 |
4 |
4 |
100 |
| How important is pro-social behaviour in the delivery of public services? |
1 |
1 |
3 |
49 |
1 |
2 |
11 |
198 |
| How important is pro-social behaviour in the delivery of public services? |
0 |
0 |
1 |
63 |
1 |
2 |
12 |
288 |
| How to sell a condom? The impact of demand creation tools on male and female condom sales in resource limited settings |
0 |
0 |
0 |
9 |
0 |
2 |
5 |
65 |
| Identifying demand for health resources using waiting times information |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
186 |
| Incentives and targets in hospital care: Evidence from a natural experiment |
0 |
0 |
2 |
178 |
1 |
3 |
13 |
620 |
| Individual effects and dynamics in count data models |
0 |
1 |
5 |
428 |
0 |
1 |
11 |
954 |
| Instrumental Variable Estimators for Binary Outcomes |
0 |
1 |
5 |
106 |
0 |
3 |
13 |
262 |
| Keep it simple? Predicting primary health care costs with clinical morbidity measures |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
60 |
| Mendelian randomization: the use of genes in instrumental variable analyses |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
129 |
| Microeconometrics: Editors’ introduction |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
15 |
| Modelling supply and demand influences on the use of health care: implications for deriving a needs‐based capitation formula |
0 |
0 |
0 |
244 |
0 |
0 |
0 |
1,382 |
| Moment Conditions for Dynamic Panel Data Models with Multiplicative Individual Effects in the Conditional Variance |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
45 |
| Moment conditions for fixed effects count data models with endogenous regressors |
0 |
1 |
4 |
104 |
0 |
1 |
7 |
244 |
| More reliable inference for the dissimilarity index of segregation |
0 |
0 |
1 |
10 |
0 |
0 |
1 |
111 |
| On the Stock–Yogo Tables |
0 |
0 |
0 |
7 |
1 |
3 |
7 |
64 |
| On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
29 |
| On the power of the conditional likelihood ratio and related tests for weak-instrument robust inference |
0 |
0 |
1 |
2 |
0 |
0 |
2 |
5 |
| Peer Effects in Charitable Giving: Evidence from the (Running) Field |
0 |
1 |
1 |
17 |
0 |
2 |
9 |
125 |
| Pharmaceutical promotion and GP prescription behaviour |
0 |
0 |
0 |
90 |
0 |
0 |
0 |
332 |
| Projection estimators for autoregressive panel data models |
0 |
0 |
0 |
72 |
0 |
0 |
2 |
270 |
| R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization |
0 |
0 |
0 |
0 |
0 |
2 |
11 |
1,785 |
| R2 in Seemingly Unrelated Regression Equations |
0 |
0 |
3 |
7 |
0 |
0 |
5 |
20 |
| RELIABLE INFERENCE FOR GMM ESTIMATORS? FINITE SAMPLE PROPERTIES OF ALTERNATIVE TEST PROCEDURES IN LINEAR PANEL DATA MODELS |
0 |
0 |
1 |
87 |
3 |
3 |
6 |
228 |
| Robust inference for the Two-Sample 2SLS estimator |
0 |
0 |
3 |
40 |
0 |
1 |
6 |
154 |
| Telling tales from the tails: High‐dimensional tail interdependence |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
22 |
| Testing Competing Models for Non-negative Data with Many Zeros |
0 |
0 |
4 |
146 |
0 |
0 |
8 |
385 |
| Testing underidentification in linear models, with applications to dynamic panel and asset pricing models |
0 |
0 |
4 |
4 |
0 |
0 |
11 |
11 |
| The asymptotic distribution of the sum of weighted squared residuals in binary choice models |
0 |
0 |
0 |
4 |
0 |
2 |
3 |
13 |
| The causal effects of education on health outcomes in the UK Biobank |
0 |
0 |
0 |
7 |
0 |
1 |
5 |
22 |
| The confidence interval method for selecting valid instrumental variables |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
34 |
| The effect of fat mass on educational attainment: Examining the sensitivity to different identification strategies |
0 |
0 |
0 |
9 |
0 |
1 |
3 |
62 |
| The robust F-statistic as a test for weak instruments |
0 |
1 |
1 |
1 |
1 |
4 |
4 |
4 |
| The weak instrument problem of the system GMM estimator in dynamic panel data models |
0 |
0 |
0 |
174 |
0 |
0 |
17 |
603 |
| Two-part multiple spell models for health care demand |
0 |
2 |
5 |
93 |
0 |
2 |
14 |
346 |
| Two-stage least squares as minimum distance |
0 |
0 |
0 |
7 |
0 |
3 |
3 |
42 |
| Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level |
1 |
2 |
2 |
48 |
1 |
3 |
7 |
231 |
| Total Journal Articles |
8 |
19 |
125 |
6,056 |
31 |
103 |
529 |
22,227 |
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