| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Framework for Separating Individual Treatment Effects From Spillover, Interaction, and General Equilibrium Effects |
0 |
0 |
0 |
13 |
0 |
0 |
5 |
62 |
| A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects |
0 |
0 |
0 |
45 |
0 |
0 |
2 |
44 |
| A Framework for Separating Individual-Level Treatment Effects From Spillover Effects |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
16 |
| A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels |
0 |
0 |
1 |
40 |
2 |
3 |
5 |
101 |
| A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels |
0 |
0 |
1 |
65 |
1 |
1 |
4 |
53 |
| A cautionary tale about control variables in IV estimation |
0 |
0 |
0 |
62 |
0 |
0 |
4 |
142 |
| A cautionary tale about control variables in IV estimation |
0 |
0 |
0 |
28 |
1 |
1 |
6 |
138 |
| A framework for separating individual treatment effects from spillover, interaction, and general equilibrium effects |
0 |
0 |
0 |
86 |
0 |
1 |
8 |
77 |
| A joint test of unconfoundedness and common trends |
0 |
2 |
4 |
13 |
0 |
5 |
10 |
19 |
| A review of causal mediation analysis for assessing direct and indirect treatment effects |
4 |
16 |
70 |
462 |
9 |
53 |
199 |
1,095 |
| A simple test for the ignorability of non-compliance in experiments |
0 |
0 |
0 |
49 |
1 |
1 |
3 |
137 |
| A wild bootstrap algorithm for propensity score matching estimators |
0 |
0 |
1 |
151 |
0 |
0 |
7 |
232 |
| An Introduction to Causal Discovery |
0 |
0 |
29 |
29 |
0 |
1 |
23 |
25 |
| An experimental evaluation of an anti-corruption intervention among Ukrainian university students |
0 |
0 |
0 |
81 |
0 |
2 |
13 |
111 |
| An introduction to flexible methods for policy evaluation |
0 |
0 |
2 |
87 |
0 |
2 |
11 |
173 |
| An introduction to flexible methods for policy evaluation |
0 |
0 |
3 |
25 |
4 |
5 |
15 |
79 |
| Assessing the effects of seasonal tariff-rate quotas on vegetable prices in Switzerland |
0 |
0 |
1 |
18 |
0 |
0 |
4 |
51 |
| Assessing the effects of seasonal tariff-rate quotas on vegetable prices in Switzerland |
0 |
0 |
0 |
13 |
0 |
0 |
3 |
33 |
| Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition |
0 |
0 |
0 |
23 |
0 |
0 |
4 |
25 |
| Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
17 |
| Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets |
0 |
0 |
1 |
16 |
1 |
2 |
6 |
41 |
| Causal mediation analysis with double machine learning |
0 |
0 |
2 |
104 |
0 |
2 |
8 |
84 |
| Causal mediation analysis with double machine learning |
1 |
1 |
4 |
54 |
1 |
10 |
29 |
178 |
| Causal pitfalls in the decomposition of wage gaps |
0 |
1 |
4 |
133 |
0 |
1 |
6 |
219 |
| Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students |
0 |
0 |
1 |
123 |
1 |
1 |
6 |
132 |
| Detecting Grouped Local Average Treatment Effects and Selecting True Instruments |
0 |
1 |
1 |
17 |
0 |
1 |
4 |
16 |
| Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning |
1 |
3 |
28 |
28 |
4 |
9 |
31 |
31 |
| Direct and Indirect Effects Based on Changes-in-Changes |
0 |
0 |
2 |
34 |
0 |
0 |
3 |
52 |
| Direct and Indirect Effects Based on Difference-in-Differences with an Application to Political Preferences Following the Vietnam Draft Lottery |
0 |
1 |
3 |
33 |
0 |
1 |
5 |
150 |
| Direct and Indirect Effects based on Changes-in- Changes |
0 |
0 |
0 |
8 |
1 |
1 |
3 |
24 |
| Direct and Indirect Effects based on Changes-in-Changes |
0 |
0 |
1 |
24 |
1 |
1 |
2 |
36 |
| Direct and Indirect Effects of Training Vouchers for the Unemployed |
0 |
1 |
1 |
28 |
0 |
2 |
4 |
85 |
| Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables |
0 |
2 |
4 |
81 |
0 |
4 |
12 |
381 |
| Direct and indirect effects based on difference-in-differences with an application to political preferences following the Vietnam draft lottery |
0 |
0 |
3 |
30 |
0 |
1 |
11 |
73 |
| Direct and indirect effects of continuous treatments based on generalized propensity score weighting |
0 |
1 |
3 |
72 |
1 |
3 |
11 |
141 |
| Direct and indirect effects of training vouchers for the unemployed |
0 |
0 |
1 |
47 |
0 |
1 |
3 |
139 |
| Direct and indirect effects of training vouchers for the unemployed |
0 |
1 |
2 |
14 |
1 |
2 |
7 |
58 |
| Direct and indirect effects of training vouchers for the unemployed |
0 |
0 |
0 |
12 |
0 |
0 |
1 |
82 |
| Direct and indirect effects under sample selection and outcome attrition |
0 |
0 |
2 |
30 |
0 |
0 |
8 |
37 |
| Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables |
0 |
0 |
0 |
1 |
1 |
1 |
4 |
8 |
| Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables |
0 |
0 |
1 |
10 |
0 |
0 |
4 |
107 |
| Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables |
0 |
0 |
2 |
34 |
0 |
0 |
2 |
123 |
| Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work? |
0 |
0 |
0 |
68 |
0 |
2 |
3 |
284 |
| Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work? |
0 |
0 |
0 |
83 |
0 |
0 |
2 |
428 |
| Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work? |
0 |
0 |
0 |
80 |
0 |
0 |
3 |
298 |
| Does Leaving Welfare Improve Health? Evidence for Germany |
0 |
0 |
0 |
28 |
0 |
1 |
1 |
168 |
| Does Leaving Welfare Improve Health? Evidence for Germany |
0 |
0 |
0 |
35 |
0 |
0 |
1 |
146 |
| Does Leaving Welfare Improve Health? Evidence for Germany |
0 |
0 |
0 |
51 |
0 |
0 |
3 |
212 |
| Does preschool boost the development of minority children? The case of Roma children |
0 |
0 |
1 |
37 |
1 |
5 |
10 |
117 |
| Double machine learning for sample selection models |
0 |
0 |
0 |
39 |
0 |
0 |
3 |
64 |
| Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning |
0 |
2 |
4 |
26 |
0 |
2 |
8 |
20 |
| Endogeneity and Non-Response Bias in Treatment Evaluation: Nonparametric Identification of Causal Effects by Instruments |
0 |
0 |
0 |
65 |
0 |
0 |
1 |
88 |
| Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments |
0 |
0 |
0 |
23 |
0 |
0 |
3 |
75 |
| Evaluating (weighted) dynamic treatment effects by double machine learning |
0 |
0 |
3 |
41 |
0 |
0 |
20 |
76 |
| Evaluating an information campaign about rural development policies in (FYR) Macedonia |
0 |
0 |
0 |
6 |
0 |
0 |
5 |
61 |
| Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review |
0 |
0 |
1 |
89 |
1 |
1 |
9 |
188 |
| From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market attachment |
0 |
0 |
1 |
15 |
2 |
3 |
6 |
49 |
| From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market outcomes |
0 |
0 |
1 |
6 |
0 |
1 |
7 |
22 |
| Gender Differences in Wage Expectations |
0 |
0 |
0 |
32 |
0 |
1 |
4 |
57 |
| Gender Differences in Wage Expectations |
0 |
0 |
0 |
31 |
0 |
1 |
8 |
60 |
| How Residence Permits Affect the Labor Market Attachment of Foreign Workers: Evidence from a Migration Lottery in Liechtenstein |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
15 |
| How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign |
0 |
0 |
0 |
25 |
1 |
4 |
10 |
57 |
| How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein |
0 |
0 |
0 |
7 |
0 |
1 |
2 |
11 |
| How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein |
0 |
0 |
0 |
16 |
0 |
1 |
3 |
26 |
| How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score |
0 |
0 |
0 |
113 |
0 |
0 |
2 |
356 |
| How to control for many covariates? Reliable estimators based on the propensity score |
0 |
0 |
0 |
145 |
0 |
0 |
4 |
358 |
| How war affects political attitudes: evidence from eastern Ukraine |
0 |
1 |
4 |
53 |
1 |
4 |
17 |
132 |
| Identification of average treatment effects in social experiments under different forms of attrition |
0 |
0 |
0 |
54 |
0 |
0 |
2 |
199 |
| Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting |
0 |
0 |
1 |
82 |
1 |
1 |
8 |
362 |
| Including Covariates in the Regression Discontinuity Design |
0 |
0 |
0 |
8 |
0 |
0 |
2 |
55 |
| Including covariates in the regression discontinuity design |
0 |
0 |
2 |
58 |
1 |
1 |
12 |
102 |
| Instrument-based estimation with binarized treatments: Issues and tests for the exclusion restriction |
0 |
0 |
2 |
65 |
0 |
1 |
15 |
159 |
| Interacting Treatments with Endogenous Takeup |
0 |
0 |
0 |
12 |
0 |
0 |
3 |
11 |
| It's never too LATE: A new look at local average treatment effects with or without defiers |
0 |
0 |
0 |
85 |
0 |
1 |
7 |
122 |
| Learning control variables and instruments for causal analysis in observational data |
0 |
0 |
3 |
7 |
0 |
0 |
14 |
25 |
| Local Average and Quantile Treatment Effects Under Endogeneity: A Review |
1 |
1 |
2 |
30 |
1 |
2 |
5 |
49 |
| Machine Learning for Staggered Difference-in-Differences and Dynamic Treatment Effect Heterogeneity |
5 |
9 |
36 |
95 |
10 |
24 |
105 |
206 |
| Machine Learning with Screens for Detecting Bid-Rigging Cartels |
3 |
4 |
4 |
134 |
5 |
9 |
20 |
224 |
| Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting |
0 |
0 |
1 |
50 |
0 |
2 |
9 |
145 |
| On the development of students’ attitudes towards corruption and cheating in Russian universities |
0 |
0 |
3 |
52 |
3 |
4 |
19 |
156 |
| On the plausibility of the latent ignorability assumption |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
15 |
| On the sensitivity of wage gap decompositions |
0 |
0 |
0 |
16 |
0 |
0 |
5 |
48 |
| Quantile Regression in the Presence of Sample Selection |
0 |
0 |
2 |
612 |
0 |
3 |
10 |
1,215 |
| Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation |
0 |
0 |
1 |
293 |
0 |
2 |
6 |
976 |
| Regional Differences in Perceived Corruption among Ukrainian Firms |
0 |
0 |
1 |
54 |
0 |
1 |
6 |
159 |
| Relaxing monotonicity in the identification of local average treatment effects |
0 |
1 |
1 |
96 |
0 |
1 |
6 |
301 |
| Sharp IV bounds on average treatment effects under endogeneity and noncompliance |
0 |
1 |
1 |
111 |
0 |
3 |
7 |
313 |
| Sharp bounds on causal effects under sample selection |
0 |
0 |
2 |
99 |
2 |
6 |
12 |
285 |
| Should Welfare Administration be Centralized or Decentralized? Evidence from a Policy Experiment |
0 |
0 |
1 |
33 |
0 |
0 |
3 |
244 |
| Should welfare administration be centralized or decentralized? Evidence from a policy experiment |
0 |
0 |
0 |
8 |
1 |
1 |
1 |
129 |
| Statistical verification of a natural "natural experiment": Tests and sensitivity checks for the sibling sex ratio instrument |
0 |
0 |
0 |
48 |
0 |
1 |
4 |
260 |
| Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data |
0 |
0 |
1 |
23 |
0 |
1 |
3 |
47 |
| Testing for covariate balance using quantile regression and resampling methods |
0 |
0 |
0 |
132 |
1 |
4 |
6 |
742 |
| Testing identification in mediation and dynamic treatment models |
0 |
1 |
2 |
3 |
3 |
4 |
6 |
12 |
| Testing instrument validity for LATE identification based on inequality moment constraints |
0 |
0 |
1 |
108 |
0 |
0 |
7 |
465 |
| Testing instrument validity in sample selection models |
0 |
0 |
0 |
199 |
1 |
1 |
1 |
786 |
| Testing the identification of causal effects in observational data |
0 |
0 |
2 |
31 |
1 |
2 |
9 |
33 |
| Testing the validity of the compulsory schooling law instrument |
0 |
0 |
0 |
35 |
0 |
0 |
3 |
113 |
| The Effect of Firms' Partial Retirement Policies on the Labour Market Outcomes of Their Employees |
0 |
0 |
0 |
50 |
0 |
0 |
3 |
89 |
| The Effect of Firms' Partial Retirement Policies on the Labour Market Outcomes of their Employees |
0 |
0 |
0 |
36 |
0 |
0 |
1 |
141 |
| The Effects of Gender and Parental Occupation in the Apprenticeship Market: An Experimental Evaluation |
0 |
0 |
0 |
32 |
1 |
1 |
5 |
65 |
| The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators |
0 |
1 |
1 |
18 |
1 |
2 |
5 |
138 |
| The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation |
0 |
0 |
0 |
53 |
0 |
0 |
0 |
113 |
| The Fiscal Response to Revenue Shocks |
0 |
0 |
0 |
9 |
0 |
0 |
4 |
33 |
| The causalweight package for causal inference in R |
0 |
3 |
14 |
109 |
2 |
9 |
58 |
461 |
| The effect of firms' partial retirement policies on the labour market outcomes of their employees |
0 |
0 |
0 |
64 |
0 |
0 |
2 |
212 |
| The effect of firms' partial retirement policies on the labour market outcomes of their employees |
0 |
0 |
0 |
19 |
0 |
0 |
5 |
71 |
| The effect of firms' partial retirement policies on the labour market outcomes of their employees |
0 |
0 |
0 |
32 |
0 |
0 |
3 |
94 |
| The effect of firms' partial retirement policies on the labour market outcomes of their employees |
0 |
0 |
0 |
20 |
0 |
0 |
3 |
81 |
| The effects of anti-corruption videos on attitudes towards corruption in a Ukrainian online survey |
0 |
0 |
0 |
16 |
0 |
0 |
3 |
40 |
| The effects of electronic monitoring on offenders and their families |
0 |
1 |
1 |
39 |
1 |
4 |
4 |
154 |
| The finite sample performance of estimators for mediation analysis under sequential conditional independence |
0 |
0 |
0 |
56 |
2 |
2 |
4 |
132 |
| The finite sample performance of inference methods for propensity score matching and weighting estimators |
0 |
0 |
0 |
72 |
1 |
1 |
5 |
191 |
| The finite sample performance of inference methods for propensity score matching and weighting estimators |
0 |
0 |
0 |
27 |
0 |
0 |
1 |
200 |
| The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates |
0 |
0 |
1 |
15 |
1 |
2 |
7 |
19 |
| The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation |
0 |
0 |
1 |
8 |
1 |
1 |
5 |
116 |
| The fiscal response to revenue shocks |
0 |
0 |
0 |
2 |
0 |
0 |
7 |
37 |
| Transnational machine learning with screens for flagging bid-rigging cartels |
0 |
0 |
0 |
20 |
0 |
1 |
4 |
47 |
| Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition |
0 |
0 |
0 |
20 |
0 |
0 |
3 |
79 |
| Treatment evaluation in the presence of sample selection |
0 |
0 |
0 |
236 |
0 |
2 |
3 |
571 |
| Treatment evaluation with multiple outcome periods under endogeneity and attrition |
0 |
0 |
0 |
43 |
0 |
0 |
2 |
128 |
| Why do tougher caseworkers increase employment? The role of programme assignment as a causal mechanism |
0 |
0 |
1 |
98 |
0 |
1 |
4 |
228 |
| Workplace Health Promotion and Labour Market Performance of Employees |
0 |
0 |
0 |
82 |
1 |
2 |
3 |
75 |
| Workplace Health Promotion and Labour Market Performance of Employees |
0 |
0 |
0 |
105 |
2 |
2 |
4 |
182 |
| Workplace health promotion and labour market performance of employees |
0 |
0 |
0 |
17 |
1 |
1 |
3 |
47 |
| Workplace health promotion and labour market performance of employees |
0 |
0 |
0 |
42 |
0 |
1 |
4 |
89 |
| Total Working Papers |
15 |
55 |
281 |
7,324 |
80 |
252 |
1,108 |
19,986 |
LogEc is hosted by the
Örebro University School of Business.