Working Paper |
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12 months |
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Last month |
3 months |
12 months |
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A Framework for Separating Individual Treatment Effects From Spillover, Interaction, and General Equilibrium Effects |
0 |
0 |
0 |
13 |
0 |
2 |
6 |
62 |
A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects |
0 |
0 |
0 |
45 |
0 |
2 |
5 |
44 |
A Framework for Separating Individual-Level Treatment Effects From Spillover Effects |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
15 |
A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels |
0 |
0 |
2 |
40 |
0 |
0 |
5 |
98 |
A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels |
0 |
0 |
1 |
65 |
0 |
2 |
5 |
52 |
A cautionary tale about control variables in IV estimation |
0 |
0 |
2 |
62 |
0 |
2 |
10 |
141 |
A cautionary tale about control variables in IV estimation |
0 |
0 |
0 |
28 |
1 |
2 |
5 |
136 |
A framework for separating individual treatment effects from spillover, interaction, and general equilibrium effects |
0 |
0 |
0 |
86 |
1 |
3 |
9 |
75 |
A joint test of unconfoundedness and common trends |
1 |
2 |
11 |
11 |
1 |
3 |
13 |
13 |
A review of causal mediation analysis for assessing direct and indirect treatment effects |
4 |
17 |
93 |
436 |
15 |
48 |
271 |
1,008 |
A simple test for the ignorability of non-compliance in experiments |
0 |
0 |
0 |
49 |
0 |
1 |
3 |
135 |
A wild bootstrap algorithm for propensity score matching estimators |
0 |
0 |
0 |
150 |
1 |
2 |
6 |
229 |
An Introduction to Causal Discovery |
0 |
1 |
29 |
29 |
0 |
2 |
23 |
23 |
An experimental evaluation of an anti-corruption intervention among Ukrainian university students |
0 |
0 |
0 |
81 |
2 |
3 |
9 |
104 |
An introduction to flexible methods for policy evaluation |
2 |
2 |
3 |
25 |
3 |
5 |
9 |
72 |
An introduction to flexible methods for policy evaluation |
1 |
1 |
2 |
87 |
4 |
5 |
9 |
170 |
Assessing the effects of seasonal tariff-rate quotas on vegetable prices in Switzerland |
0 |
0 |
1 |
18 |
0 |
1 |
3 |
50 |
Assessing the effects of seasonal tariff-rate quotas on vegetable prices in Switzerland |
0 |
0 |
0 |
13 |
0 |
1 |
3 |
33 |
Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition |
0 |
0 |
0 |
1 |
1 |
2 |
2 |
17 |
Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition |
0 |
0 |
0 |
23 |
0 |
2 |
6 |
25 |
Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets |
1 |
1 |
1 |
16 |
2 |
3 |
4 |
39 |
Causal mediation analysis with double machine learning |
0 |
1 |
2 |
104 |
2 |
4 |
10 |
81 |
Causal mediation analysis with double machine learning |
1 |
1 |
3 |
51 |
4 |
8 |
27 |
161 |
Causal pitfalls in the decomposition of wage gaps |
0 |
2 |
5 |
132 |
0 |
3 |
8 |
217 |
Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students |
0 |
1 |
1 |
123 |
0 |
1 |
4 |
129 |
Detecting Grouped Local Average Treatment Effects and Selecting True Instruments |
0 |
0 |
0 |
16 |
0 |
1 |
5 |
15 |
Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning |
0 |
24 |
24 |
24 |
0 |
15 |
18 |
18 |
Direct and Indirect Effects Based on Changes-in-Changes |
0 |
1 |
1 |
33 |
0 |
2 |
2 |
51 |
Direct and Indirect Effects Based on Difference-in-Differences with an Application to Political Preferences Following the Vietnam Draft Lottery |
0 |
2 |
2 |
32 |
0 |
4 |
5 |
149 |
Direct and Indirect Effects based on Changes-in- Changes |
0 |
0 |
0 |
8 |
0 |
1 |
2 |
23 |
Direct and Indirect Effects based on Changes-in-Changes |
0 |
0 |
0 |
23 |
0 |
0 |
1 |
34 |
Direct and Indirect Effects of Training Vouchers for the Unemployed |
0 |
0 |
0 |
27 |
0 |
2 |
2 |
83 |
Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables |
0 |
1 |
4 |
79 |
2 |
5 |
18 |
376 |
Direct and indirect effects based on difference-in-differences with an application to political preferences following the Vietnam draft lottery |
0 |
1 |
4 |
30 |
1 |
4 |
10 |
70 |
Direct and indirect effects of continuous treatments based on generalized propensity score weighting |
0 |
0 |
2 |
71 |
1 |
1 |
9 |
136 |
Direct and indirect effects of training vouchers for the unemployed |
0 |
1 |
1 |
47 |
0 |
1 |
1 |
137 |
Direct and indirect effects of training vouchers for the unemployed |
0 |
0 |
0 |
12 |
0 |
1 |
2 |
82 |
Direct and indirect effects of training vouchers for the unemployed |
0 |
0 |
0 |
12 |
0 |
2 |
4 |
55 |
Direct and indirect effects under sample selection and outcome attrition |
0 |
0 |
2 |
29 |
0 |
1 |
7 |
35 |
Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables |
0 |
1 |
1 |
10 |
1 |
2 |
7 |
107 |
Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables |
0 |
0 |
0 |
1 |
1 |
2 |
4 |
7 |
Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables |
0 |
1 |
4 |
34 |
0 |
1 |
10 |
123 |
Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work? |
0 |
0 |
0 |
83 |
0 |
1 |
1 |
427 |
Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work? |
0 |
0 |
0 |
68 |
0 |
1 |
1 |
282 |
Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work? |
0 |
0 |
1 |
80 |
0 |
2 |
3 |
297 |
Does Leaving Welfare Improve Health? Evidence for Germany |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
167 |
Does Leaving Welfare Improve Health? Evidence for Germany |
0 |
0 |
0 |
35 |
0 |
1 |
1 |
146 |
Does Leaving Welfare Improve Health? Evidence for Germany |
0 |
0 |
0 |
51 |
1 |
3 |
3 |
212 |
Does preschool boost the development of minority children? The case of Roma children |
0 |
0 |
0 |
36 |
0 |
1 |
5 |
111 |
Double machine learning for sample selection models |
0 |
0 |
0 |
39 |
0 |
2 |
6 |
64 |
Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning |
0 |
0 |
1 |
22 |
0 |
1 |
7 |
15 |
Endogeneity and Non-Response Bias in Treatment Evaluation: Nonparametric Identification of Causal Effects by Instruments |
0 |
0 |
0 |
65 |
0 |
1 |
1 |
88 |
Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments |
0 |
0 |
0 |
23 |
0 |
1 |
3 |
75 |
Evaluating (weighted) dynamic treatment effects by double machine learning |
0 |
1 |
5 |
40 |
0 |
3 |
20 |
67 |
Evaluating an information campaign about rural development policies in (FYR) Macedonia |
0 |
0 |
0 |
6 |
1 |
3 |
8 |
61 |
Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review |
0 |
1 |
1 |
89 |
0 |
3 |
8 |
186 |
From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market attachment |
0 |
0 |
0 |
14 |
0 |
0 |
2 |
44 |
From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market outcomes |
0 |
1 |
3 |
6 |
1 |
3 |
8 |
20 |
Gender Differences in Wage Expectations |
0 |
0 |
0 |
31 |
2 |
4 |
8 |
57 |
Gender Differences in Wage Expectations |
0 |
0 |
0 |
32 |
1 |
3 |
7 |
56 |
How Residence Permits Affect the Labor Market Attachment of Foreign Workers: Evidence from a Migration Lottery in Liechtenstein |
0 |
0 |
0 |
10 |
1 |
1 |
1 |
15 |
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign |
0 |
0 |
0 |
25 |
0 |
1 |
5 |
51 |
How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein |
0 |
0 |
0 |
16 |
1 |
1 |
2 |
25 |
How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein |
0 |
0 |
0 |
7 |
1 |
1 |
1 |
10 |
How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score |
0 |
0 |
0 |
113 |
1 |
1 |
3 |
356 |
How to control for many covariates? Reliable estimators based on the propensity score |
0 |
0 |
0 |
145 |
1 |
2 |
4 |
357 |
How war affects political attitudes: evidence from eastern Ukraine |
0 |
1 |
7 |
52 |
1 |
4 |
15 |
124 |
Identification of average treatment effects in social experiments under different forms of attrition |
0 |
0 |
0 |
54 |
0 |
0 |
3 |
198 |
Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting |
0 |
0 |
0 |
81 |
3 |
4 |
6 |
359 |
Including Covariates in the Regression Discontinuity Design |
0 |
0 |
0 |
8 |
0 |
1 |
2 |
54 |
Including covariates in the regression discontinuity design |
0 |
1 |
5 |
57 |
0 |
2 |
18 |
99 |
Instrument-based estimation with binarized treatments: Issues and tests for the exclusion restriction |
0 |
0 |
0 |
63 |
1 |
1 |
8 |
150 |
Interacting Treatments with Endogenous Takeup |
0 |
0 |
0 |
12 |
1 |
2 |
2 |
10 |
It's never too LATE: A new look at local average treatment effects with or without defiers |
0 |
0 |
2 |
85 |
1 |
3 |
11 |
120 |
Learning control variables and instruments for causal analysis in observational data |
0 |
1 |
7 |
7 |
0 |
7 |
21 |
21 |
Local Average and Quantile Treatment Effects Under Endogeneity: A Review |
0 |
1 |
1 |
29 |
0 |
3 |
6 |
47 |
Machine Learning for Staggered Difference-in-Differences and Dynamic Treatment Effect Heterogeneity |
9 |
14 |
26 |
77 |
27 |
40 |
87 |
152 |
Machine Learning with Screens for Detecting Bid-Rigging Cartels |
0 |
0 |
3 |
130 |
1 |
4 |
14 |
212 |
Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting |
0 |
0 |
2 |
50 |
1 |
3 |
14 |
143 |
On the development of students’ attitudes towards corruption and cheating in Russian universities |
0 |
1 |
2 |
51 |
2 |
5 |
15 |
149 |
On the plausibility of the latent ignorability assumption |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
15 |
On the sensitivity of wage gap decompositions |
0 |
0 |
0 |
16 |
1 |
2 |
5 |
48 |
Quantile Regression in the Presence of Sample Selection |
0 |
2 |
2 |
612 |
1 |
5 |
11 |
1,211 |
Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation |
1 |
1 |
3 |
293 |
1 |
2 |
7 |
973 |
Regional Differences in Perceived Corruption among Ukrainian Firms |
0 |
0 |
1 |
54 |
0 |
1 |
6 |
157 |
Relaxing monotonicity in the identification of local average treatment effects |
0 |
0 |
0 |
95 |
0 |
1 |
5 |
297 |
Sharp IV bounds on average treatment effects under endogeneity and noncompliance |
0 |
0 |
0 |
110 |
1 |
2 |
5 |
310 |
Sharp bounds on causal effects under sample selection |
0 |
0 |
3 |
98 |
0 |
3 |
8 |
278 |
Should Welfare Administration be Centralized or Decentralized? Evidence from a Policy Experiment |
0 |
1 |
1 |
33 |
1 |
2 |
3 |
243 |
Should welfare administration be centralized or decentralized? Evidence from a policy experiment |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
128 |
Statistical verification of a natural "natural experiment": Tests and sensitivity checks for the sibling sex ratio instrument |
0 |
0 |
0 |
48 |
1 |
2 |
3 |
258 |
Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data |
0 |
0 |
2 |
22 |
0 |
0 |
3 |
44 |
Testing for covariate balance using quantile regression and resampling methods |
0 |
0 |
0 |
132 |
0 |
0 |
4 |
738 |
Testing identification in mediation and dynamic treatment models |
0 |
1 |
2 |
2 |
0 |
2 |
8 |
8 |
Testing instrument validity for LATE identification based on inequality moment constraints |
0 |
1 |
1 |
108 |
2 |
6 |
8 |
465 |
Testing instrument validity in sample selection models |
0 |
0 |
0 |
199 |
0 |
0 |
2 |
785 |
Testing the identification of causal effects in observational data |
0 |
1 |
4 |
31 |
1 |
3 |
10 |
30 |
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 |
1 |
2 |
2 |
88 |
The Effect of Firms' Partial Retirement Policies on the Labour Market Outcomes of their Employees |
0 |
0 |
0 |
36 |
0 |
1 |
1 |
141 |
The Effects of Gender and Parental Occupation in the Apprenticeship Market: An Experimental Evaluation |
0 |
0 |
0 |
32 |
1 |
2 |
4 |
64 |
The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators |
0 |
0 |
0 |
17 |
2 |
3 |
4 |
136 |
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 |
1 |
3 |
4 |
33 |
The causalweight package for causal inference in R |
1 |
3 |
10 |
101 |
9 |
23 |
59 |
437 |
The effect of firms' partial retirement policies on the labour market outcomes of their employees |
0 |
0 |
0 |
19 |
1 |
3 |
7 |
71 |
The effect of firms' partial retirement policies on the labour market outcomes of their employees |
0 |
0 |
0 |
64 |
0 |
2 |
3 |
212 |
The effect of firms' partial retirement policies on the labour market outcomes of their employees |
0 |
0 |
0 |
20 |
0 |
2 |
2 |
80 |
The effect of firms' partial retirement policies on the labour market outcomes of their employees |
0 |
0 |
0 |
32 |
0 |
2 |
5 |
94 |
The effects of anti-corruption videos on attitudes towards corruption in a Ukrainian online survey |
0 |
0 |
0 |
16 |
1 |
1 |
5 |
40 |
The finite sample performance of estimators for mediation analysis under sequential conditional independence |
0 |
0 |
0 |
56 |
0 |
1 |
2 |
129 |
The finite sample performance of inference methods for propensity score matching and weighting estimators |
0 |
0 |
0 |
27 |
0 |
0 |
2 |
200 |
The finite sample performance of inference methods for propensity score matching and weighting estimators |
0 |
0 |
0 |
72 |
0 |
1 |
3 |
189 |
The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates |
0 |
0 |
2 |
15 |
0 |
3 |
6 |
17 |
The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation |
0 |
1 |
1 |
8 |
0 |
2 |
4 |
115 |
The fiscal response to revenue shocks |
0 |
0 |
0 |
2 |
1 |
4 |
7 |
37 |
Transnational machine learning with screens for flagging bid-rigging cartels |
0 |
0 |
0 |
20 |
0 |
1 |
4 |
46 |
Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition |
0 |
0 |
0 |
20 |
0 |
1 |
2 |
78 |
Treatment evaluation in the presence of sample selection |
0 |
0 |
0 |
236 |
0 |
1 |
8 |
569 |
Treatment evaluation with multiple outcome periods under endogeneity and attrition |
0 |
0 |
0 |
43 |
0 |
0 |
1 |
126 |
Why do tougher caseworkers increase employment? The role of programme assignment as a causal mechanism |
0 |
0 |
1 |
98 |
0 |
2 |
4 |
227 |
Workplace Health Promotion and Labour Market Performance of Employees |
0 |
0 |
0 |
82 |
1 |
1 |
1 |
73 |
Workplace Health Promotion and Labour Market Performance of Employees |
0 |
0 |
0 |
105 |
0 |
1 |
3 |
180 |
Workplace health promotion and labour market performance of employees |
0 |
0 |
0 |
17 |
1 |
2 |
2 |
46 |
Workplace health promotion and labour market performance of employees |
0 |
0 |
0 |
42 |
0 |
2 |
6 |
88 |
Total Working Papers |
21 |
94 |
300 |
7,187 |
120 |
370 |
1,137 |
19,387 |