Panel Stochastic Frontier Models with Endogeneity in Stata
Introducing xtsfkk, a new Stata command for fitting panel stochastic frontier models with endogeneity, offering better control for endogenous variables in the frontier and/or the inefficiency term in longitudinal settings compared to standard estimators. Learn about the significance of stochastic fr
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Gender Wage Gap Among Those Born in 1958: A Matching Estimator Approach
Examining the gender wage gap among individuals born in 1958 using a matching estimator approach reveals significant patterns over the life course. The study explores drawbacks in parametric estimation, the impact of conditioning on various variables, and contrasts with existing literature findings,
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Endogenous Optimum Currency Areas
Mundell's Optimum Currency Area Criteria and the concept of setting the endogeneity stage are discussed in relation to business cycles and trade integration. Approaches to empirically test business cycle synchronization and the theoretical ambiguity with empirical clarity are examined in the context
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Endogeneity and Instrumental Variable Estimation Methods
Endogeneity in econometrics can create challenges such as omitted variables bias, measurement error, simultaneous causality, and using lagged values. This can affect the accuracy of models. One way to address this is through instrumental variable estimation methods. These methods help deal with endo
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IV Regression in Development Economics
This research provides insights into the use of instrumental variable (IV) regressions in development economics, addressing issues of endogeneity bias and outlining the principles and conditions for IV estimation. It covers examples related to institutions, growth, and foreign aid, highlighting the
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Mobile Phone Interventions for Economic and Productive Outcomes in Rural Low- and Middle-Income Countries
This systematic review explores the impact of mobile phone interventions on economic and productive outcomes for rural enterprises and households in low- and middle-income countries. It includes evidence from natural experiments, addressing endogeneity and causality through instrumental variables or
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Using Secondary Analysis for Researching Individual Behavior in Job Training
This presentation at the ESRC Research Methods Festival 2014 discusses the utilization of secondary analysis, focusing on exploring individual behavior in the context of on-the-job training. It delves into accounting for endogeneity using BHPS longitudinal data, presented by Genevieve Knight and Mic
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Understanding Endogeneity in Corporate Finance
Endogeneity, a common issue in corporate governance and finance, refers to the correlation between explanatory variables and errors in regression models. This leads to biased parameter estimates, hindering reliable inference. Omitted variables, simultaneity, and measurement errors are sources of end
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Addressing Endogeneity Concerns in Non-linear Models: Econometric Methods
Learn about addressing endogeneity concerns in non-linear models in econometrics, focusing on projects involving employee departure and charitable giving. Discover the challenges faced with non-linear models like Hazard and Hurdle models and explore ways to handle endogeneity. Gain insights into con
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Understanding Heterogeneity in Hybrid Choice Models
Explore the concept of heterogeneity in hybrid choice models, which incorporate latent variables and endogeneity to enhance preference structure. Delve into recent progress on endogeneity in choice modeling and the implications for estimators. Discover how heterogeneity influences preference weights
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