Results 121 to 130 of about 63,609 (288)
Sustainable Development, EarlyView.ABSTRACT This article examines whether economic growth reduces inequalities in access to water and sanitation across 64 countries over an average period of 13.5 years. Drawing on disaggregated data by income quintiles and rural–urban location, and employing ordinary least squares (OLS), two‐stage least squares (2SLS), and Seemingly Unrelated Regression
Marcos García‐López +2 more
wiley +1 more source
Revista Colombiana de Estadística, 2012 This document presents how to estimate and implement a structural VAR-X model under long run and impact identification restrictions. Estimation by Bayesian and classical methods are presented.
SERGIO OCAMPO, NORBERTO RODRÍGUEZ
doaj
Sustainable Development, EarlyView.ABSTRACT This study analyzes farmers' preferences for sustainable crop protection, focusing on Integrated Pest Management (IPM) practices by incorporating social‐psychological factors to capture economic and behavioral dimensions. Using data from German and Polish potato farmers, we apply an integrated choice and latent variable framework that combines
Philip K. Miriti +3 more
wiley +1 more source
The RAND Journal of Economics, EarlyView.ABSTRACT A platform matches a unit mass of sellers, each owning a single product of heterogeneous quality, to a unit mass of buyers with differing valuations for unit‐quality. After matching, sellers make take‐it‐or‐leave‐it price‐offers to buyers. Initially, valuations of buyers are only known to them and the platform, but sellers make inferences from
Daniele Condorelli, Balazs Szentes
wiley +1 more source
Bayesian Analysis for Hybrid MSF-SBEKK Models of Multivariate Volatility [PDF]
The aim of this paper is to examine the empirical usefulness of two new MSF - Scalar BEKK(1,1) models of n-variate volatility. These models formally belong to the MSV class, but in fact are some hybrids of the simplest MGARCH and MSV specifications. Such
Anna Pajor, Jacek Osiewalski
core
The RAND Journal of Economics, EarlyView.ABSTRACT Biased recommendations arise naturally in markets with heterogeneous consumers. We study a model in which a monopolist offers an experience good to a population of consumers with heterogeneous tastes and makes personalized purchase recommendations.
Martin Peitz, Anton Sobolev
wiley +1 more source
Optimal Job Design and Information Elicitation
The RAND Journal of Economics, EarlyView.ABSTRACT When managers rely on their subordinates for local information but cannot commit to how such information is used, the incentives for effort and information elicitation become intertwined. This incentive problem influences the firm's job design decision, that is, whether to assign all tasks in a job to one worker (“individual assignment”) or ...
Arijit Mukherjee +2 more
wiley +1 more source
Fossil Fuels and Renewable Energy: Mix or Match?
The RAND Journal of Economics, EarlyView.ABSTRACT This article investigates the influence of technological ownership on pricing strategies and productive efficiency. Our motivation comes from the evolving landscape of electricity markets where firms are transitioning from diversified to specialized portfolios, focusing on renewable energy or fossil fuels.
Natalia Fabra, Gerard Llobet
wiley +1 more source
Optimal Refund Mechanism With Consumer Learning
The RAND Journal of Economics, EarlyView.ABSTRACT This article studies the optimal refund mechanism when an uninformed buyer learns about their valuation over time. We consider various refund mechanisms including simple return policies (no returns or free returns), and stochastic return policies, which allow the buyer to keep the product with some probability upon receiving a refund.
Qianjun Lyu
wiley +1 more source
Reserve Price Signaling With Public Information: Evidence From Online Auto Auctions
The RAND Journal of Economics, EarlyView.ABSTRACT This article considers an auction model in which a seller's choice of reserve price signals her private information about the object's quality. We show that the signaling incentive would lower the seller's payoff and the probability of sale. We estimate the model using a novel dataset from a large online auto auction platform.
Junyan Guan, Boli Xu
wiley +1 more source