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Nonlinear Budget Set Regressions for the Random Utility Model

Blomquist, Nils Sören; Kumar, Anil; Liang, Che-yuan; … - National Bureau of Economic Research - 2023

This paper is about the nonparametric regression of a choice variable on a nonlinear budget set under utility maximization with general heterogeneity, i.e. in the random utility model (RUM). We show that utility maximization and convex budget sets make this regression three dimensional with a...

Persistent link: https://www.econbiz.de/10014250211

Heterogeneity, Uncertainty and Learning : Semiparametric Identification and Estimation

Bunting, Jackson; Diegert, Paul; Maurel, Arnaud - National Bureau of Economic Research - 2024

We provide semiparametric identification results for a broad class of learning models in which continuous outcomes depend on three types of unobservables: i) known heterogeneity, ii) initially unknown heterogeneity that may be revealed over time, and iii) transitory uncertainty. We consider a...

Persistent link: https://www.econbiz.de/10014486255

Beyond Cobb-Douglas : Flexibly Estimating Matching Functions with Unobserved Matching Efficiency

Lange, Fabian - 2020

the empirical literature estimating the matching function, commonly used to map unemployment and vacancies into hires …. First, we show how to non-parametrically identify the matching function. Second, we estimate the matching function allowing … for unobserved matching efficacy, without imposing the usual independence assumption between matching efficiency and …

Persistent link: https://www.econbiz.de/10012481928

Complementarity and Aggregate Implications of Assortative Matching : A Nonparametric Analysis

Graham, Bryan S. - 2009

, potentially complementary, input fixed. We introduce a class of such reallocations -- correlated matching rules -- that includes … the status quo allocation, a random allocation, and both the perfect positive and negative assortative matching …

Persistent link: https://www.econbiz.de/10012463788

On Robust Inference in Time Series Regression

Baillie, Richard; Diebold, Francis X.; Kapetanios, George; … - National Bureau of Economic Research - 2024

Least squares regression with heteroskedasticity consistent standard errors ("OLS-HC regression") has proved very useful in cross section environments. However, several major difficulties, which are generally overlooked, must be confronted when transferring the HC technology to time series...

Persistent link: https://www.econbiz.de/10014576582

A Trajectories-Based Approach to Measuring Intergenerational Mobility

Chang, Yoosoon; Durlauf, Steven N.; Lee, Seunghee; … - National Bureau of Economic Research - 2023

This paper develops an approach to intergenerational mobility in which the trajectories of parental incomes during childhood and adolescence are the conditioning objects for characterizing dependence across generations. We use functional regression methods to produce an intergenerational...

Persistent link: https://www.econbiz.de/10014247941

Partial Identification of Personalized Treatment Response with Trial-reported Analyses of Binary Subgroups

Li, Sheyu; Litvin, Valentyn; Manski, Charles F. - National Bureau of Economic Research - 2022

Medical journals have adhered to a reporting practice that seriously limits the usefulness of published trial findings. Medical decision makers commonly observe many patient covariates and seek to use this information to personalize treatment choices. Yet standard summaries of trial findings...

Persistent link: https://www.econbiz.de/10013388817

Getting the Right Tail Right : Modeling Tails of Health Expenditure Distributions

Karlsson, Martin; Wang, Yulong; Ziebarth, Nicolas R. - National Bureau of Economic Research - 2023

Health expenditure data almost always include extreme values. Such heavy tails can be a threat to the commonly adopted least squares methods. To accommodate extreme values, we propose the use of an estimation method that recovers the often ignored right tail of health expenditure distributions....

Persistent link: https://www.econbiz.de/10014322831

Inventor Gender and Patent Undercitation : Evidence from Causal Text Estimation

Hochberg, Yael V.; Kakhbod, Ali; Li, Peiyao; Sachdeva, Kunal - National Bureau of Economic Research - 2023

Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...

Persistent link: https://www.econbiz.de/10014337825

Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP

Conlon, Christopher; Gortmaker, Jeff - National Bureau of Economic Research - 2023

We provide a general framework for incorporating many types of micro data from summary statistics to full surveys of selected consumers into Berry, Levinsohn, and Pakes (1995)-style estimates of differentiated products demand systems. We extend best practices for BLP estimation in Conlon and...

Persistent link: https://www.econbiz.de/10014337838

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