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Digital economy and rural household resilience: Evidence from China. (2024). Yin, Xukang ; Wang, Weixin ; Xu, Jianghong.
In: Agricultural Economics.
RePEc:caa:jnlage:v:70:y:2024:i:5:id:317-2023-agricecon.

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  1. From “fragile smallholders” to “resilient smallholders”: measuring rural household resilience in China. (2024). Wang, Weixin ; Lu, Wei ; Xu, Jianghong.
    In: Palgrave Communications.
    RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04249-x.

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  40. Forecasting Costa Rican inflation with machine learning methods. (2020). Rodriguez Vargas, Adolfo ; Rodriguez-Vargas, Adolfo.
    In: Latin American Journal of Central Banking (previously Monetaria).
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  41. Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium. (2020). Lechner, Michael ; Cockx, Bart ; Bollens, Joost.
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  42. Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium. (2020). Lechner, Michael ; Cockx, Bart ; Boolens, Joost.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:14270.

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  43. Priority of Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium. (2020). Lechner, Michael ; Cockx, Bart ; Bollens, Joost.
    In: CESifo Working Paper Series.
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  44. Supervised learning for the prediction of firm dynamics. (2020). Riccaboni, Massimo ; Niederreiter, Jan ; Bargagli-Stoffi, Falco J.
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  45. A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics. (2020). Klose, Sophie-Charlotte ; Lederer, Johannes.
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  46. Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment. (2020). Tang, Liyang.
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  47. Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed. (2019). Lechner, Michael ; Goller, Daniel ; Wolff, Joachim ; Moczall, Andreas.
    In: Economics Working Paper Series.
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  48. Priority to Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium. (2019). Lechner, Michael ; Cockx, Bart ; Bollens, Joost.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp12875.

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  49. Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation? The Case of Germanys Programmes for Long Term Unemployed. (2019). Lechner, Michael ; Goller, Daniel ; Wolff, Joachim ; Moczall, Andreas.
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  50. Double debiased machine learning nonparametric inference with continuous treatments. (2019). Lee, Ying-Ying ; Colangelo, Kyle.
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:54/19.

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