| 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 |
3 |
7 |
96 |
| A Note on R2 in the Instrumental Variables Model |
0 |
0 |
2 |
9 |
0 |
7 |
20 |
53 |
| A Weak Instrument F-Test in Linear IV Models with Multiple Endogenous Variables |
0 |
0 |
0 |
28 |
4 |
13 |
20 |
158 |
| A Weak Instrument F-Test in Linear IV Models with Multiple Endogenous Variables |
1 |
2 |
6 |
326 |
4 |
9 |
34 |
948 |
| A comparison of bias approximations for the 2SLS estimator |
0 |
0 |
0 |
64 |
2 |
3 |
4 |
161 |
| A finite sample correction for the variance of linear two-step GMM estimators |
0 |
1 |
1 |
674 |
2 |
8 |
16 |
2,197 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
0 |
0 |
0 |
1 |
7 |
10 |
12 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
1 |
1 |
1 |
9 |
3 |
8 |
12 |
43 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
0 |
0 |
30 |
0 |
8 |
12 |
99 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
0 |
0 |
23 |
2 |
3 |
11 |
100 |
| Best Feasible Conditional Critical Values for a More Powerful Subvector Anderson-Rubin Test |
5 |
5 |
5 |
5 |
2 |
2 |
2 |
2 |
| Binary Outcomes, OLS, 2SLS and IV Probit |
0 |
0 |
1 |
26 |
0 |
7 |
20 |
123 |
| Child height, health and human capital: evidence using genetic markers |
0 |
0 |
0 |
4 |
0 |
5 |
11 |
60 |
| Child height, health and human capital: evidence using genetic markers |
0 |
0 |
0 |
89 |
0 |
3 |
5 |
246 |
| Cluster effects and simultaneity in multilevel models |
0 |
0 |
1 |
4 |
1 |
4 |
9 |
954 |
| Criterion-Based Inference for GMM in Linear Dynamic Panel Data Models |
0 |
0 |
0 |
160 |
0 |
3 |
6 |
390 |
| Criterion-based inference for GMM in autoregressive panel-data models |
0 |
0 |
2 |
249 |
1 |
5 |
8 |
960 |
| Deviance Based R-Squared Mesures of Goodness of Fit for Generalized Linear Models |
0 |
0 |
0 |
2 |
0 |
1 |
7 |
1,900 |
| Did 'Targets and Terror' Reduce Waiting times in England for Hospital Care? |
0 |
1 |
1 |
289 |
1 |
10 |
12 |
1,028 |
| Economic Instruments for Obesity Prevention: Results of a Scoping Review and Modified Delphi Survey |
0 |
0 |
0 |
55 |
1 |
7 |
7 |
264 |
| Efficiency comparisons for a system GMM estimator in dynamic panel data models |
0 |
0 |
1 |
359 |
1 |
8 |
10 |
802 |
| Endogeneity in count data models; an application to demand for health care |
1 |
1 |
3 |
24 |
2 |
6 |
15 |
1,084 |
| Estimating Structural Mean Models with Multiple Instrumental Variables using the Generalised Method of Moments |
0 |
0 |
0 |
29 |
1 |
3 |
6 |
184 |
| Estimating structural mean models with multiple instrumental variables using the generalised method of moments |
0 |
0 |
0 |
55 |
3 |
5 |
8 |
104 |
| Estimating structural mean models with multiple instrumental variables using the generalised method of moments |
0 |
0 |
0 |
28 |
0 |
1 |
7 |
179 |
| Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator |
3 |
3 |
6 |
2,001 |
4 |
11 |
37 |
3,607 |
| Estimation of Panel Data Models with Binary Indicators when Treatment Effects are not Constant over Time |
0 |
0 |
0 |
395 |
5 |
53 |
55 |
1,097 |
| 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 |
6 |
8 |
11 |
| ExpEnd, A Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and panel data |
0 |
0 |
1 |
682 |
1 |
6 |
8 |
1,890 |
| Finite Sample Inference for GMM Estimators in Linear Panel Data Models |
0 |
1 |
5 |
468 |
1 |
9 |
27 |
860 |
| Finite sample inference for GMM estimators in linear panel data models |
0 |
0 |
2 |
2 |
6 |
14 |
18 |
19 |
| Finite sample inference for GMM estimators in linear panel data models |
0 |
0 |
0 |
270 |
0 |
4 |
12 |
856 |
| GMM for panel count data models |
0 |
0 |
0 |
203 |
0 |
12 |
19 |
494 |
| GMM for panel count data models |
0 |
0 |
0 |
806 |
1 |
6 |
9 |
1,911 |
| GMM with many weak moment conditions |
0 |
0 |
0 |
347 |
3 |
12 |
20 |
944 |
| Genetic Markers as Instrumental Variables |
0 |
0 |
0 |
54 |
1 |
4 |
6 |
251 |
| Genetic Markers as Instrumental Variables:An Application to Child Fat Mass and Academic Achievement |
0 |
0 |
0 |
85 |
1 |
4 |
5 |
260 |
| Genetic markers as instrumental variables: an application to child fat mass and academic achievement |
0 |
0 |
0 |
76 |
0 |
6 |
8 |
235 |
| Genetic markers as instrumental variables: an application to child fat mass and academic achievement |
0 |
0 |
0 |
7 |
3 |
9 |
9 |
96 |
| 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 |
6 |
348 |
| How important is pro-social behaviour in the delivery of public services? |
0 |
0 |
0 |
227 |
2 |
6 |
11 |
1,326 |
| Identification of Causal Effects on Binary Outcomes Using Structural Mean Models |
0 |
0 |
0 |
48 |
0 |
4 |
7 |
239 |
| Identification of causal effects on binary outcomes using structural mean models |
0 |
0 |
0 |
71 |
0 |
3 |
3 |
226 |
| Identifying demand for health resources using waiting times information |
0 |
0 |
1 |
157 |
2 |
7 |
10 |
596 |
| Incentives and Targets in Hospital Care: Evidence from a Natural Experiment |
0 |
0 |
0 |
152 |
1 |
1 |
4 |
419 |
| Individual effects and dynamics in count data models |
0 |
0 |
0 |
449 |
6 |
19 |
33 |
1,255 |
| Instrumental Variable Estimators for Binary Outcomes |
0 |
0 |
0 |
359 |
0 |
3 |
5 |
1,533 |
| Instrumental Variable Estimators for Binary Outcomes |
0 |
0 |
0 |
122 |
1 |
3 |
3 |
347 |
| Is it different for zeros? Discriminating between models for non-negative data with many zeros |
0 |
0 |
0 |
171 |
1 |
3 |
5 |
308 |
| Keep it Simple? Predicting Primary Health Care Costs with Measures of Morbidity and Multimorbidity |
0 |
0 |
1 |
71 |
1 |
6 |
9 |
307 |
| Moment Conditions for AR(1) Panel Data Models with Missing Outcomes |
0 |
0 |
0 |
56 |
2 |
7 |
9 |
132 |
| Moment conditions for dynamic panel data models with multiplicative individual effects in the conditional variance |
0 |
0 |
0 |
67 |
0 |
3 |
9 |
325 |
| More Reliable Inference for Segregation Indices |
0 |
1 |
2 |
87 |
1 |
7 |
13 |
341 |
| More reliable inference for the dissimilarity index of segregation |
0 |
0 |
0 |
0 |
4 |
10 |
13 |
77 |
| On the Power Curves of the Conditional Likelihood Ratio and Related Tests for Instrumental Variables Regression with Weak Instruments |
0 |
0 |
0 |
5 |
1 |
4 |
5 |
18 |
| On the Power of the Conditional Likelihood Ratio and Related Tests for Weak-Instrument Robust Inference |
0 |
0 |
0 |
43 |
1 |
11 |
18 |
78 |
| On the Stock-Yogo Tables |
0 |
0 |
2 |
113 |
4 |
17 |
45 |
307 |
| On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
0 |
31 |
3 |
4 |
9 |
80 |
| On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
0 |
28 |
1 |
6 |
9 |
114 |
| On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
0 |
99 |
2 |
5 |
9 |
171 |
| On the instrumental variable estimation with many weak and invalid instruments |
0 |
0 |
0 |
28 |
1 |
5 |
12 |
33 |
| Overidentification testing with weak instruments and heteroskedasticity |
0 |
0 |
9 |
9 |
2 |
4 |
9 |
9 |
| Parental income and children's smoking behaviour: evidence from the British Household Panel Survey |
0 |
0 |
1 |
137 |
1 |
7 |
11 |
761 |
| Peer effects in charitable giving: Evidence from the (running) field |
0 |
0 |
1 |
23 |
1 |
5 |
7 |
116 |
| Peer effects in charitable giving: Evidence from the (running) field |
0 |
0 |
1 |
21 |
0 |
7 |
10 |
92 |
| Pharmaceutical promotion and GP prescription behaviour |
0 |
0 |
1 |
639 |
1 |
6 |
10 |
2,517 |
| Projection estimators for autoregressive panel data models |
0 |
0 |
1 |
1 |
0 |
4 |
6 |
9 |
| Projection estimators for autoregressive panel data models |
0 |
0 |
0 |
135 |
0 |
4 |
4 |
393 |
| R-Squared Measures for Count Data Regression Models with Applications to Health Care Utilization |
0 |
0 |
0 |
0 |
0 |
7 |
23 |
1,260 |
| Robust Inference for the Two-Sample 2SLS Estimator |
0 |
0 |
0 |
78 |
0 |
7 |
21 |
166 |
| Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator |
0 |
0 |
0 |
6 |
1 |
7 |
45 |
73 |
| Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator |
0 |
1 |
3 |
20 |
1 |
8 |
19 |
28 |
| Technological Change Around The World: Evidence From Heart Attack Care |
0 |
0 |
0 |
1 |
2 |
5 |
7 |
20 |
| Testing Over- and Underidentification in Linear Models, with Applications to Dynamic Panel Data and Asset-Pricing Models |
0 |
2 |
13 |
341 |
4 |
17 |
45 |
880 |
| Testing competing models for non-negative data with many zeros |
1 |
1 |
1 |
68 |
2 |
8 |
12 |
197 |
| 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 |
2 |
8 |
10 |
161 |
| 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 |
8 |
12 |
181 |
| The Confidence Interval Method for Selecting Valid Instrumental Variables |
0 |
0 |
0 |
102 |
1 |
7 |
12 |
254 |
| The Falsification Adaptive Set in Linear Models with Instrumental Variables that Violate the Exclusion or Conditional Exogeneity Restriction |
0 |
0 |
0 |
40 |
1 |
2 |
9 |
28 |
| The Relationship Between Health Policies, Medical Technology Trends and Outcomes |
0 |
0 |
0 |
3 |
1 |
3 |
5 |
47 |
| The Robust F-Statistic as a Test for Weak Instruments |
0 |
0 |
1 |
19 |
6 |
16 |
26 |
53 |
| The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models |
0 |
1 |
6 |
313 |
6 |
24 |
41 |
908 |
| The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models |
0 |
1 |
3 |
117 |
0 |
6 |
16 |
286 |
| The asymptotic distribution of the sum of weighted squared residual in binary choice models. A x2 test |
0 |
0 |
0 |
9 |
1 |
6 |
7 |
47 |
| The weak instrument problem of the system GMM estimator in dynamic panel data models |
0 |
0 |
0 |
429 |
2 |
3 |
12 |
1,240 |
| Two-Stage Least Squares as Minimum Distance |
0 |
0 |
0 |
109 |
0 |
7 |
11 |
111 |
| Two-part multiple spell models for health care demand |
0 |
0 |
0 |
300 |
1 |
6 |
8 |
1,922 |
| Unit Roots and Identification in Autoregressive Panel Data Models: A Comparison of Alternative Tests |
1 |
1 |
4 |
877 |
5 |
9 |
19 |
1,828 |
| Unit roots: identification and testing in micro panels |
0 |
0 |
0 |
231 |
0 |
4 |
7 |
562 |
| Wages and the Demand for Health - A Life Cycle Analysis |
0 |
0 |
0 |
326 |
3 |
9 |
13 |
1,001 |
| Wages and the demand for health - a life cycle analysis |
0 |
0 |
0 |
229 |
0 |
6 |
7 |
826 |
| Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level |
0 |
0 |
0 |
238 |
2 |
7 |
9 |
941 |
| Weak Instruments, First-Stage Heteroskedasticity and the Robust F-test |
1 |
1 |
3 |
86 |
3 |
12 |
20 |
264 |
| Weak Instruments, First-Stage Heteroskedasticity, the Robust F-Test and a GMM Estimator with the Weight Matrix Based on First-Stage Residuals |
0 |
0 |
3 |
28 |
0 |
5 |
14 |
35 |
| Total Working Papers |
14 |
24 |
95 |
15,427 |
140 |
674 |
1,254 |
50,474 |
| 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 |
0 |
51 |
7 |
13 |
22 |
173 |
| A finite sample correction for the variance of linear efficient two-step GMM estimators |
2 |
5 |
19 |
1,865 |
9 |
36 |
109 |
4,797 |
| A goodness-of-fit test in the multinomial legit model based on weighted squared residuals |
0 |
0 |
0 |
6 |
0 |
5 |
6 |
34 |
| A weak instrument F-test in linear IV models with multiple endogenous variables |
0 |
2 |
10 |
418 |
5 |
27 |
88 |
2,220 |
| An R-squared measure of goodness of fit for some common nonlinear regression models |
0 |
1 |
3 |
632 |
2 |
9 |
20 |
2,520 |
| Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses |
0 |
0 |
0 |
0 |
0 |
4 |
5 |
12 |
| Binary outcomes, OLS, 2SLS and IV probit |
1 |
2 |
4 |
12 |
4 |
19 |
40 |
71 |
| Child height, health and human capital: Evidence using genetic markers |
0 |
0 |
0 |
31 |
2 |
10 |
12 |
174 |
| Cluster effects and simultaneity in multilevel models |
0 |
0 |
0 |
2 |
0 |
7 |
9 |
314 |
| Criterion-based inference for GMM in autoregressive panel data models |
0 |
0 |
2 |
75 |
2 |
3 |
8 |
233 |
| Did 'Targets and Terror' Reduce Waiting Times in England for Hospital Care? |
1 |
3 |
4 |
101 |
2 |
13 |
18 |
444 |
| Endogeneity in Count Data Models: An Application to Demand for Health Care |
0 |
0 |
1 |
549 |
3 |
10 |
20 |
1,316 |
| Estimation of panel data models with binary indicators when treatment effects are not constant over time |
0 |
2 |
4 |
164 |
1 |
6 |
12 |
419 |
| Generalized Method of Moments With Many Weak Moment Conditions |
0 |
1 |
1 |
133 |
3 |
10 |
12 |
404 |
| Genetic markers as instrumental variables |
0 |
0 |
0 |
21 |
0 |
2 |
5 |
103 |
| How important is pro-social behaviour in the delivery of public services? |
0 |
0 |
2 |
50 |
2 |
10 |
19 |
216 |
| How important is pro-social behaviour in the delivery of public services? |
0 |
0 |
0 |
63 |
1 |
9 |
16 |
303 |
| 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 |
1 |
5 |
10 |
74 |
| Identifying demand for health resources using waiting times information |
0 |
0 |
0 |
1 |
2 |
11 |
13 |
199 |
| Incentives and targets in hospital care: Evidence from a natural experiment |
0 |
1 |
5 |
183 |
5 |
13 |
29 |
647 |
| Individual effects and dynamics in count data models |
0 |
1 |
5 |
432 |
1 |
12 |
21 |
974 |
| Instrumental Variable Estimators for Binary Outcomes |
0 |
0 |
1 |
107 |
1 |
3 |
5 |
267 |
| Keep it simple? Predicting primary health care costs with clinical morbidity measures |
0 |
0 |
1 |
11 |
1 |
6 |
13 |
73 |
| Mendelian randomization: the use of genes in instrumental variable analyses |
0 |
0 |
0 |
1 |
2 |
2 |
2 |
131 |
| Microeconometrics: Editors’ introduction |
0 |
0 |
0 |
1 |
0 |
4 |
6 |
21 |
| Modelling supply and demand influences on the use of health care: implications for deriving a needs‐based capitation formula |
0 |
0 |
0 |
244 |
0 |
2 |
8 |
1,390 |
| Moment Conditions for Dynamic Panel Data Models with Multiplicative Individual Effects in the Conditional Variance |
0 |
0 |
0 |
8 |
0 |
4 |
9 |
54 |
| Moment conditions for fixed effects count data models with endogenous regressors |
0 |
1 |
1 |
105 |
0 |
2 |
4 |
248 |
| More reliable inference for the dissimilarity index of segregation |
0 |
0 |
1 |
11 |
2 |
7 |
25 |
136 |
| On the Stock–Yogo Tables |
0 |
0 |
1 |
8 |
10 |
20 |
35 |
96 |
| On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
0 |
0 |
0 |
0 |
2 |
6 |
9 |
38 |
| On the power of the conditional likelihood ratio and related tests for weak-instrument robust inference |
0 |
1 |
1 |
3 |
2 |
8 |
12 |
17 |
| Peer Effects in Charitable Giving: Evidence from the (Running) Field |
0 |
0 |
0 |
17 |
1 |
10 |
21 |
145 |
| Pharmaceutical promotion and GP prescription behaviour |
0 |
0 |
0 |
90 |
0 |
3 |
5 |
337 |
| Projection estimators for autoregressive panel data models |
0 |
0 |
0 |
72 |
2 |
7 |
8 |
278 |
| R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization |
0 |
0 |
0 |
0 |
0 |
1 |
8 |
1,793 |
| R2 in Seemingly Unrelated Regression Equations |
0 |
0 |
1 |
8 |
0 |
0 |
1 |
21 |
| RELIABLE INFERENCE FOR GMM ESTIMATORS? FINITE SAMPLE PROPERTIES OF ALTERNATIVE TEST PROCEDURES IN LINEAR PANEL DATA MODELS |
0 |
0 |
0 |
87 |
0 |
2 |
7 |
232 |
| Robust inference for the Two-Sample 2SLS estimator |
0 |
0 |
0 |
40 |
1 |
3 |
8 |
162 |
| Telling tales from the tails: High‐dimensional tail interdependence |
0 |
0 |
0 |
2 |
0 |
2 |
5 |
27 |
| Testing Competing Models for Non-negative Data with Many Zeros |
0 |
1 |
2 |
148 |
0 |
8 |
18 |
403 |
| Testing underidentification in linear models, with applications to dynamic panel and asset pricing models |
1 |
1 |
2 |
6 |
2 |
6 |
12 |
23 |
| The asymptotic distribution of the sum of weighted squared residuals in binary choice models |
0 |
0 |
0 |
4 |
3 |
3 |
6 |
18 |
| The causal effects of education on health outcomes in the UK Biobank |
0 |
0 |
1 |
8 |
1 |
9 |
12 |
34 |
| The confidence interval method for selecting valid instrumental variables |
0 |
1 |
1 |
10 |
0 |
7 |
9 |
43 |
| The effect of fat mass on educational attainment: Examining the sensitivity to different identification strategies |
0 |
0 |
0 |
9 |
0 |
3 |
5 |
67 |
| The robust F-statistic as a test for weak instruments |
0 |
0 |
4 |
4 |
5 |
18 |
49 |
49 |
| The weak instrument problem of the system GMM estimator in dynamic panel data models |
0 |
0 |
0 |
174 |
1 |
15 |
25 |
628 |
| Two-part multiple spell models for health care demand |
0 |
0 |
3 |
94 |
0 |
1 |
8 |
352 |
| Two-stage least squares as minimum distance |
0 |
0 |
0 |
7 |
7 |
11 |
15 |
56 |
| Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level |
0 |
0 |
3 |
49 |
3 |
6 |
12 |
241 |
| Total Journal Articles |
5 |
23 |
83 |
6,126 |
98 |
413 |
856 |
23,027 |
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