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In this book, we synthesize a rich and vast literature on econometric challenges associated with accounting choices and their causal effects. Identi?cation and es- mation of endogenous causal effects is particularly challenging as observable data are rarely directly linked to the causal effect of in...
This book presents a series of studies focusing on the role of social capital in the labor market and beyond. Using the effect of individual social capital on labor markets as an example, this book pays special attention to the origins of and solutions to the endogeneity problem. It uses several ide...
In this book, we synthesize a rich and vast literature on econometric challenges associated with accounting choices and their causal effects. Identi?cation and es- mation of endogenous causal effects is particularly challenging as observable data are rarely directly linked to the causal effect of in...
In this book, we synthesize a rich and vast literature on econometric challenges associated with accounting choices and their causal effects. Identi?cation and es- mation of endogenous causal effects is particularly challenging as observable data are rarely directly linked to the causal effect of in...
This book presents a series of studies focusing on the role of social capital in the labor market and beyond. Using the effect of individual social capital on labor markets as an example, this book pays special attention to the origins of and solutions to the endogeneity problem. It uses several ide...
This book presents a series of studies focusing on the role of social capital in the labor market and beyond. Using the effect of individual social capital on labor markets as an example, this book pays special attention to the origins of and solutions to the endogeneity problem. It uses several ide...
This study could also be of interest in settings where the intervention could not be intervened on directly. In settings where the prime cause is not able to be manipulated due to ethical and/or logistical restrictions, the mediator can be instead intervened on to reduce the detrimental effect of th...
The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events. For decades, population scientists have concentrated their efforts on estimating the ‘causes of effects’ by applying standard cross-sectional and dynamic regr...
This book highlights quantitative risk assessment and modeling methods for assessing health risks caused by air pollution, as well as characterizing and communicating remaining uncertainties. It shows how to apply modern data science, artificial intelligence and machine learning, causal analyti...
Organic viticulture seeks eco-friendly alternatives to copper fungicides used against Plasmopara viticola, the causal agent of downy mildew. This dissertation explores the use of grape cane - an underutilized byproduct rich in stilbenoids - for producing bio-based pesticides.
This work investigates ...
Organic viticulture seeks eco-friendly alternatives to copper fungicides used against Plasmopara viticola, the causal agent of downy mildew. This dissertation explores the use of grape cane - an underutilized byproduct rich in stilbenoids - for producing bio-based pesticides.
This work investigates ...
The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events. For decades, population scientists have concentrated their efforts on estimating the ‘causes of effects’ by applying standard cross-sectional and dynamic regr...
The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events. For decades, population scientists have concentrated their efforts on estimating the ‘causes of effects’ by applying standard cross-sectional and dynamic regr...
This book highlights quantitative risk assessment and modeling methods for assessing health risks caused by air pollution, as well as characterizing and communicating remaining uncertainties. It shows how to apply modern data science, artificial intelligence and machine learning, causal analyti...
This book highlights quantitative risk assessment and modeling methods for assessing health risks caused by air pollution, as well as characterizing and communicating remaining uncertainties. It shows how to apply modern data science, artificial intelligence and machine learning, causal analyti...
To achieve a better understanding of the influence of National Culture, Corporate Culture and Leadership Style on Lean Six Sigma implementation and Corporate Success a quantitative empirical web-based survey with Lean Six Sigma professionals involved in the social professional network LinkedIn was c...