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Use of Propensity Scores in Non-Linear Response Models : The Case for Health Care Expenditures

Basu, Anirban - 2008

Under the assumption of no unmeasured confounders, a large literature exists on methods that can be used to estimating average treatment effects (ATE) from observational data and that spans regression models, propensity score adjustments using stratification, weighting or regression and even the...

Persistent link: https://www.econbiz.de/10012464559

Belief Distortions and Macroeconomic Fluctuations

Bianchi, Francesco - 2020

This paper combines a data rich environment with a machine learning algorithm to provide new estimates of time-varying systematic expectational errors ("belief distortions") embedded in survey responses. We find that distortions are large on average even for professional forecasters, with all...

Persistent link: https://www.econbiz.de/10012481601

Data-Driven Incentive Alignment in Capitation Schemes

Braverman, Mark; Chassang, Sylvain - National Bureau of Economic Research - 2021

This paper explores whether Big Data, taking the form of extensive high dimensional records, can reduce the cost of adverse selection by private service providers in government-run capitation schemes, such as Medicare Advantage. We argue that using data to improve the ex ante precision of...

Persistent link: https://www.econbiz.de/10012482645

Local Projections vs. VARs : Lessons From Thousands of DGPs

Li, Dake; Plagborg-Møller, Mikkel; Wolf, Christian - National Bureau of Economic Research - 2022

We conduct a simulation study of Local Projection (LP) and Vector Autoregression (VAR) estimators of structural impulse … data. Our analysis considers various identification schemes and several variants of LP and VAR estimators. A clear bias …-variance trade-off emerges: LP estimators have lower bias than VAR estimators but substantially higher variance at intermediate and …

Persistent link: https://www.econbiz.de/10013334425

The Promise and Pitfalls of Conflict Prediction : Evidence from Colombia and Indonesia

Bazzi, Samuel - 2019

Policymakers can take actions to prevent local conflict before it begins, if such violence can be accurately predicted. We examine the two countries with the richest available sub-national data: Colombia and Indonesia. We assemble two decades of fine-grained violence data by type, alongside...

Persistent link: https://www.econbiz.de/10012479929

The Impact of Big Data on Firm Performance : An Empirical Investigation

Bajari, Patrick - 2018

In academic and policy circles, there has been considerable interest in the impact of "big data" on firm performance. We examine the question of how the amount of data impacts the accuracy of Machine Learned models of weekly retail product forecasts using a proprietary data set obtained from...

Persistent link: https://www.econbiz.de/10012453380

An Adaptive Nonlinear Least Square Algorithm

Dennis, John E. - 1977

NL2SOL is a modular program for solving the nonlinear least-squares problem that incorporates a number of novel features. It maintains a secant approximation S to the second-order part of the least-squares Hessian and adaptively decides when to use this approximation. We have found it very...

Persistent link: https://www.econbiz.de/10012478936

Robust Non-Linear Regression Using The Dogleg Algorithm

Welsch, Roy E. - 1975

What are the statistical and computational problems associated with robust nonlinear regression? This paper presents a number of possible approaches to these problems and develops a particular algorithm based on the work of Powell and Dennis

Persistent link: https://www.econbiz.de/10012479050

A Comparison of FIML and Robust Estimates of a Nonlinear Macroeconomic Model

Fair, Ray C. - 1973

The prediction accuracy of six estimators of econometric models are compared. Two of rthe estimators are ordinary least squares (OLS) and full-information maximum likelihood. (FML). The other four estimators are robust estimators in the sense that they give less weight to large residuals. One of...

Persistent link: https://www.econbiz.de/10012479110

Estimation of Random Coefficient Demand Models : Challenges, Difficulties and Warnings

Knittel, Christopher R. - 2008

Empirical exercises in economics frequently involve estimation of highly nonlinear models. The criterion function may not be globally concave or convex and exhibit many local extrema. Choosing among these local extrema is non-trivial for a variety of reasons. In this paper, we analyze the...

Persistent link: https://www.econbiz.de/10012464564

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