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Semiparametric Estimation with Generated Covariates [PDF]

open access: yes
In this paper, we study a general class of semiparametric optimization estimators of a vector-valued parameter. The criterion function depends on two types of infinite-dimensional nuisance parameters: a conditional expectation function that has been ...
Schienle, Melanie   +2 more
core  

Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková   +4 more
wiley   +1 more source

Do Tax Incentives for Farmland Leases Increase Farm Supply? Evidence From Iowa's Beginning Farmer Tax Credit

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT In recent decades, agriculture has become increasingly concentrated through horizontal mergers and acquisitions via corporate entities, and policy makers are concerned this will be exacerbated by the aging population of farm operators. To reduce market concentration in agriculture, many states have enacted policies to entice new prospective ...
Justin M. Ross   +2 more
wiley   +1 more source

Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise [PDF]

open access: yes
This paper shows how to use realised kernels to carry out efficient feasible inference on the ex-post variation of underlying equity prices in the presence of simple models of market frictions.
Neil Shephard   +3 more
core   +2 more sources

Estimation of Copula-Based Semiparametric Time Series Models [PDF]

open access: yes
This paper studies the estimation of a class of copula-based semiparametric stationary Markov models. These models are characterized by nonparametric invariant (or marginal) distributions and parametric copula functions that capture the temporal ...
Yanqin Fan, Xiaohong Chen
core  

A Skills Gap Analysis of Farmer Directors of US Farmer Cooperatives

open access: yesAgribusiness, EarlyView.
ABSTRACT Boards of directors are vital to firm performance and are an integral part of the decision‐making process of any business. Several studies have been conducted that observe corporate or nonprofit board characteristics, skills, and the board's connection to firm performance.
Jody S. Herchenbach   +5 more
wiley   +1 more source

Jump-preserving monitoring of dependent time series using pilot estimators [PDF]

open access: yes
An important problem of the statistical analysis of time series is to detect change-points in the mean structure. Since this problem is a one-dimensional version of the higher dimensional problem of detecting edges in images, we study detection rules ...
Steland, Ansgar
core  

Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language

open access: yesAgribusiness, EarlyView.
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak   +2 more
wiley   +1 more source

Moment Restriction-based Econometric Methods: An Overview

open access: yes
Moment restriction-based econometric modelling is a broad class which includes the parametric, semiparametric and nonparametric approaches. Moments and conditional moments themselves are nonparametric quantities.
Kunitomo, N.   +2 more
core  

Parametric Conditional Monte Carlo Density Estimation [PDF]

open access: yes
In applied density estimation problems, one often has data not only on the target variable, but also on a collection of covariates. In this paper, we study a density estimator that incorporates this additional information by combining parametric ...
John Stachurski, Yin Liao
core  

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