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The econometrics literature proposed several new causal machine learning methods (CML) in the past few years. These methods harness the strength of machine learning methods to flexibly model the relationship between the treatment, outcome and confounders, while providing valid inferential...
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This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...
Persistent link: https://www.econbiz.de/10014535259
Nowcasting can play a key role in giving policymakers timelier insight to data published with a significant time lag, such as final GDP figures. Currently, there are a plethora of methodologies and approaches for practitioners to choose from. However, there lacks a comprehensive comparison of...
Persistent link: https://www.econbiz.de/10014084603
This paper addresses the steep learning curve in Machine Learning faced by non-computer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage ”once you understand OLS, you can work...
Persistent link: https://www.econbiz.de/10015070152
The picture of technological change over the last 70 years in the global economy is ambiguous, with two salient facts: Total Factor Productivity has been systematically falling since 1979, whilst the average global food deficit has been systematically declining since 1992. Building upon those...
Persistent link: https://www.econbiz.de/10012948679
Large Language Models (LLMs) are proving to be a powerful toolkit for management and organizational research. While early work has largely focused on the value of these tools for data processing and replicating survey-based research, the potential of LLMs for theory building is yet to be...
Persistent link: https://www.econbiz.de/10015094875
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A major element in innovation theory is creative destruction. Creative destruction puts the man in the center of responsible for initiating market shocks that forge economic cycles. His actions upset old orders and present conditions, thereafter creating a new reality. Artificial intelligence...
Persistent link: https://www.econbiz.de/10013294390
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