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1. Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting. (2024). Cho, Sung-Bae ; Dehuri, Satchidananda ; Nayak, Sarat Chandra.
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2. Difference-in-Differences in the Marketplace. (2024). Mulligan, Casey ; Minton, Robert.
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3. Economic determinants of regional trade agreements revisited using machine learning. (2022). Larch, Mario ; Blothner, Simon.
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4. Does City Public Service Distance Increase Sense of Gain to Public Health Service? Evidence from 1394 Migrant Workers in Six Provinces. (2022). Ma, Yuting ; Fu, Minghui ; Wang, Liukun ; Liu, Chuanjiang.
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5. Artificial intelligence empowerment: The impact of research and development investment on green radical innovation in high‐tech enterprises. (2022). Chen, Yong ; Qu, Xintong ; Tian, Shuo ; Ma, Qiang ; Li, Ling ; Su, Huishuang.
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6. Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective. (2022). Long, Yujie ; Chen, Yong ; Li, Xueling ; Fan, Meixi.
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7. Fiscal rules’ compliance and Social Welfare.. (2021). Baret, Kea.
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8. Economic Determinants of Regional Trade Agreements Revisited Using Machine Learning. (2021). Larch, Mario ; Blothner, Simon.
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9. Heterogeneous Coefficients, Control Variables, and Identification of Multiple Treatment Effects. (2021). Stouli, Sami ; Newey, Whitney.
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10. Causality in Econometric Modeling. From Theory to Structural Causal Modeling. (2020). Orsi, Renzo ; Mouchart, M ; Wunsch, G.
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11. Formal Education and Disaster Response of Children: Evidence from Coastal Villages in Indonesia. (2019). Shoji, Masahiro ; Takafuji, Yoko ; Harada, Tetsuya.
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12. Does the market model provide a good counterfactual for event studies in finance?. (2019). Castro-Iragorri, Carlos.
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13. Socioeconomic determinants of pediatric asthma emergency department visits under regional economic development in western New York. (2019). Eum, Youngseob ; Yoo, Eun Hye ; Bowen, Elizabeth.
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14. A framework for conducting economic evaluations alongside natural experiments. (2019). Dundas, Ruth ; Kreif, Noemi ; Deidda, Manuela ; McIntosh, Emma ; Geue, Claudia.
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15. New evidence of energy-growth nexus from inclusive wealth. (2019). Sugiawan, Yogi ; Managi, Shunsuke.
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16. The IMF and precautionary lending: An empirical evaluation of the selectivity and effectiveness of the Flexible Credit Line. (2019). Essers, Dennis ; Ide, Stefaan .
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17. Agricultural inputs and nutrition in South Asia. (2019). Shankar, Bhavani ; Poole, Nigel ; Bird, Frances A.
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18. Designing an environmental impact bond for wetland restoration in Louisiana. (2019). Norriss, Jessie ; Herrera, Diego ; Kar, Devyani ; Gangi, Dakota ; Dupont, Carolyn ; Cohen, Benjamin ; Rojas, Victor ; Cunniff, Shannon ; Snider, Natalie Peyronnin ; Mountenot, Marshall ; Wyerman, Jim.
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19. Rethinking Policy Evaluation – Do Simple Neural Nets Bear Comparison with Synthetic Control Method?. (2018). Steinkraus, Arne.
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20. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
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21. Labor Market Effects of U.S. Sick Pay Mandates.. (2018). Ziebarth, Nicolas ; Pichler, Stefan.
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22. Selecting Directors Using Machine Learning. (2018). Weisbach, Michael ; Stern, Lea H ; Erel, Isil ; Tan, Chenhao.
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23. The Impact of Machine Learning on Economics. (2018). Athey, Susan.
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25. Pink Work: Same-Sex Marriage, Employment and Discrimination. (2018). Sansone, Dario.
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26. Big Data in economics. (2018). Hersh, Jonathan ; Harding, Matthew.
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27. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
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28. Labor-Market Returns to Higher Vocational Schooling. (2018). Jepsen, Christopher ; Haapanen, Mika ; Böckerman, Petri ; Bockerman, Petri.
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31. Sowing the seeds of the future: Policies for financing tomorrows innovations. (2018). Mazzucato, Mariana ; Grilli, Luca ; Meoli, Michele ; Scellato, Giuseppe.
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32. Can fiscal rules constrain the size of government? An analysis of the “crown jewel” of tax and expenditure limitations. (2018). Eliason, Paul ; Lutz, Byron.
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33. Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction. (2018). Justman, Moshe.
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34. Viewpoint: Beasts of the field? Ethics in agricultural and applied economics. (2018). Michler, Jeffrey ; Josephson, Anna.
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35. Spillover health effects of energy efficiency investments: Quasi-experimental evidence from the Los Angeles LED streetlight program. (2018). Jones, Benjamin.
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36. Targeting with machine learning: An application to a tax rebate program in Italy. (2018). D'Ignazio, Alessio ; de Blasio, Guido ; Ciani, Emanuele ; Andini, Monica ; Salvestrini, Viola.
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37. Local secessions, homophily, and growth. A model with some evidence from the regions of Abruzzo and Molise (Italy, 1963). (2018). Poy, Samuele ; de Blasio, Guido ; Dalmazzo, Alberto.
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38. Adoption of solar and wind energy: The roles of carbon pricing and aggregate policy support. (2018). Burke, Paul ; Best, Rohan.
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39. Fast and reliable computation of generalized synthetic controls. (2018). Klossner, Stefan ; Becker, Martin.
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40. A spatial latent class model. (2018). Lee, Jiyon.
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41. Forest-attacking Invasive Species and Infant Health: Evidence From the Invasive Emerald Ash Borer. (2018). Jones, Benjamin.
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42. Observations on research and publishing from nineteen years as editors of the Journal of Corporate Finance. (2018). Netter, Jeffry M ; Mulherin, Harold J ; Poulsen, Annette B.
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43. Cross-Validating Synthetic Controls. (2018). Pfeifer, Gregor ; Klner, Stefan ; Becker, Martin.
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44. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
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45. Labor-Market Returns to Higher Vocational Schooling. (2018). Jepsen, Christopher ; Haapanen, Mika ; Böckerman, Petri ; Bockerman, Petri.
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46. Comparing the Effects of Current Pay and Defined Benefit Pensions on Employee Retention: Working Paper 2018-06. (2018). Karamcheva, Nadia ; Falk, Justin.
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47. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
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48. The yield and income effects of adoption of improved soybean varieties and agronomic practices in Malawi. (2018). Manda, J ; Akinwale, G ; Tufa, A H ; Alene, A D.
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49. Cross-Validating Synthetic Controls. (2017). Pfeifer, Gregor ; Klossner, Stefan ; Becker, Martin.
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50. The IMF and precautionary lending : An empirical evaluation of the selectivity and effectiveness of the flexible credit line. (2017). Essers, Dennis ; Ide, Stefaan .
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51. The IMF and precautionary lending : An empirical evaluation of the selectivity and effectiveness of the flexible credit line. (2017). Ide, Stefaan ; Essers, Dennis.
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52. Skilled Migration Policy and the Labour Market Performance of Immigrants. (2017). tani, max.
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53. Using Machine Learning To Model Interaction Effects In Education: A Graphical Approach. (2017). Horn, Daniel ; Agasisti, Tommaso ; Schiltz, Fritz ; Masci, Chiara.
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54. Targeting policy-compliers with machine learning: an application to a tax rebate programme in Italy. (2017). D'Ignazio, Alessio ; de Blasio, Guido ; Ciani, Emanuele ; Andini, Monica ; Salvestrini, Viola.
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55. Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates. (2015). Pfeifer, Gregor ; Klossner, Stefan ; Schieler, Manuel ; Kaul, Ashok.
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