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589 IZA Discussion Papers
IZA Discussion Paper No. 15963
ddml: Double/Debiased Machine Learning in Stata
Achim Ahrens, Christian B. Hansen, Mark E Schaffer, Thomas Wiemann
IZA Discussion Paper No. 15921
Recovering Income Distribution in the Presence of Interval-Censored Data
Gustavo J. Canavire Bacarreza, Fernando Rios-Avila, Flavia Sacco-Capurro
published online in: Journal of Economic Inequality, 30 January 2024
IZA Discussion Paper No. 15916
Rapid Economic Growth but Rising Poverty Segregation: Will Vietnam Meet the SDGs for Equitable Development?
Hai-Anh H Dang, Shatakshee Dhongde, Minh N.N. Do, Cuong Viet Nguyen, Obert Pimhidzai
IZA Discussion Paper No. 15907
Synthetic Difference-in-Differences Estimation
Damian Clarke, Daniel Pailañir, Susan Athey, Guido W. Imbens
forthcoming in: Stata Journal, 2024
IZA Discussion Paper No. 15873
Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements
Hai-Anh H Dang, Talip Kilic, Kseniya Abanokova, Calogero Carletto
forthcoming in: Review of Income and Wealth, 2024.
IZA Discussion Paper No. 15843
Mandatory Seatbelt Laws and Traffic Fatalities: A Reassessment
D. Mark Anderson, Yang Liang, Joseph J. Sabia
published in: Journal of Applied Econometrics, 2024, 39 (3), 513-521
IZA Discussion Paper No. 15815
Robust Dynamic Space-Time Panel Data Models Using ?-Contamination: An Application to Crop Yields and Climate Change
Badi H. Baltagi, Georges Bresson, Anoop Chaturvedi, Guy Lacroix
published in: Empirical Economics, 2023, 64, 2475–2509
IZA Discussion Paper No. 15799
A Complete Framework for Model-Free Difference-in-Differences Estimation
Daniel J. Henderson, Stefan Sperlich
published in: Foundations and Trends in Econometrics, 2023, 12 (3), 232-323
IZA Discussion Paper No. 15793
The Influence of Start-up Motivation on Entrepreneurial Performance
Marco Caliendo, Alexander S. Kritikos, Claudia Stier
published in: Small Business Economics, 2023, 61, 869-889.
IZA Discussion Paper No. 15627
Exports and Labor Demand: Evidence from Egyptian Firm-Level Data
Claudia N. Berg, Raymond Robertson, Gladys Lopez-Acevedo
IZA Discussion Paper No. 15626
Is International Trade Always Beneficial to Labor Markets? A Case Study from Egypt
Raymond Robertson, Mexico Alberto Vergara Bahena, Gladys Lopez-Acevedo
IZA Discussion Paper No. 15612
Does College Selectivity Reduce Obesity? A Partial Identification Approach
Giorgio Brunello, Dimitris Christelis, Anna Sanz-de-Galdeano, Anastasia Terskaya
published online in: Health Economics, 27 June 2024
IZA Discussion Paper No. 15608
German Financial State Aid during COVID-19 Pandemic: Higher Impact among Digitalized Self-Employed
Irene Bertschek, Jörn Block, Alexander S. Kritikos, Caroline Stiel
published in: Entrepreneurship & Regional Development, 2024, 36 (1–2), 76–97
IZA Discussion Paper No. 15586
P-Hacking, Data Type and Data-Sharing Policy
Abel Brodeur, Nikolai Cook, Carina Neisser
published in: Economic Journal, 2024, 134 (659), 985-1018
IZA Discussion Paper No. 15580
Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments
Phillip Heiler, Michael C. Knaus
IZA Discussion Paper No. 15558
The Econometrics of Antidotal Variables
Tirthatanmoy Das, Solomon Polachek
IZA Discussion Paper No. 15478
We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell Us about Publication Bias and p-Hacking in Online Experiments
Abel Brodeur, Nikolai Cook, Anthony Heyes
IZA Discussion Paper No. 15476
Do Pre-registration and Pre-analysis Plans Reduce P-Hacking and Publication Bias?
Abel Brodeur, Nikolai Cook, Jonathan S. Hartley, Anthony Heyes
published as 'Do Pre-Registration and Pre-Analysis Plans Reduce p-Hacking and Publication Bias? Evidence from 15,992 Test Statistics and Suggestions for Improvement' in: Journal of Political Economy Microeconomics, 2024. 2 (3), 527–561
IZA Discussion Paper No. 15427
Identifying Program Benefits When Participation Is Misreported
Denni Tommasi, Lina Zhang
published online in: Journal of Applied Econometrics, 29 June 2024
IZA Discussion Paper No. 15390
Combining Survey and Geospatial Data Can Significantly Improve Gender-Disaggregated Estimates of Labor Market Outcomes
Joshua D. Merfeld, David Newhouse, Michael Weber, Partha Lahiri
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