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Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data
Kasahara, Hiroyuki; Sugita, Yoichi - 2021
Commonly used methods of production function estimation assume that a firm’s output quantity can be observed as data, but typical datasets contain only revenue, not output quantity. We examine the nonparametric identification of production function from revenue data when a firm faces a general...
Persistent link: https://www.econbiz.de/10013315013
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Generalized propensity scores for multiple continuous treatment variables
Egger, Peter H.; von Ehrlich, Maximilian - 2013
This paper illustrates that the generalized propensity score method can easily be applied with multiple continuous endogenous treatment variables. Consistency proofs carry over straightforwardly to this general case, and the approach is shown to work well in finite samples with various...
Persistent link: https://www.econbiz.de/10010291531
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The KOF Globalisation Index - Revisited
Gygli, Savina - 2019
We introduce the revised version of the KOF Globalisation Index, a composite index measuring globalization for every … country in the world along the economic, social and political dimension. The original index was introduced by Dreher (2006 …) and updated in Dreher et al. (2008). This second revision of the index distinguishes between de facto and de jure measures …
Persistent link: https://www.econbiz.de/10012892154
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Aging and Health Care Expenditures : A Non-Parametric Approach
Lorenz, Normann - 2020
One of the most important controversies in health economics concerns the question whether the imminent aging of the population in most OECD countries will place an additional burden on the tax payers who finance public health care systems. Proponents of the "red-herring hypothesis" argue that...
Persistent link: https://www.econbiz.de/10012836935
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Physician Density and Infant Mortality : A Semiparametric Analysis of the Returns to Health Care Provision
Liebert, Helge - 2018
This paper investigates the effect of physicians on infant mortality, stillbirths and the incidence of common childhood diseases. We construct a new panel data set covering German municipalities from 1928 to 1936 based on historical sources. The endogeneity of health care supply is addressed by...
Persistent link: https://www.econbiz.de/10012908713
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Nonparametric Estimation of Sponsored Search Auctions and Impacts of Ad Quality on Search Revenue
Kim, Dongwoo; Pal, Pallavi - 2023
This paper presents an empirical model of sponsored search auctions in which advertisers are ranked by bid and ad quality. We introduce a new nonparametric estimator for the advertiser’s ad value and its distribution under the ‘incomplete information’ assumption. The ad value is...
Persistent link: https://www.econbiz.de/10014259686
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Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Quantile Regression Models
Harding, Matthew - 2018
This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common Correlated Effects (CCE) approach proposed by Pesaran (2006) and Chudik and Pesaran (2015) and demonstrates that the extension...
Persistent link: https://www.econbiz.de/10012908711
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Estimation and Inference for Spatial Models with Heterogeneous Coefficients : An Application to U.S. House Prices
Aquaro, Michele - 2019
This paper considers the problem of identification, estimation and inference in the case of spatial panel data models with heterogeneous spatial lag coefficients, with and without (weakly) exogenous regressors, and subject to heteroskedastic errors. A quasi maximum likelihood (QML) estimation...
Persistent link: https://www.econbiz.de/10012890630
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Multicollinearity in the Presence of Errors-in-Variables Can Increase the Probability of Type-I Error
Komlos, John - 2019
Multicollinearity, especially in combination with errors-in-variables, can increase the likelihood of a Type-I error by inflating the value of the estimated coefficients by more than it magnifies their standard errors, thereby increasing the likelihood of obtaining statistically significant...
Persistent link: https://www.econbiz.de/10012892129
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Variable Selection and Forecasting in High Dimensional Linear Regressions with Structural Breaks
Chudik, Alexander - 2020
This paper is concerned with problem of variable selection and forecasting in the presence of parameter instability. There are a number of approaches proposed for forecasting in the presence of breaks, including the use of rolling windows or exponential down-weighting. However, these studies...
Persistent link: https://www.econbiz.de/10012825993