Results 101 to 110 of about 349,349 (377)
High Dimensional Sparse Econometric Models: An Introduction [PDF]
Inverse Problems and High-Dimensional Estimation, Lecture Notes in
Statistics, Vol. 203, 2011, pp. 121-156, 2011 In this chapter we discuss conceptually high dimensional sparse econometric models as well as estimation of these models using L1-penalization and post-L1-penalization methods. Focusing on linear and nonparametric regression frameworks, we discuss various econometric examples, present basic theoretical results, and illustrate the concepts and methods ...
arxiv
A social power index for hierarchically structured populations of economic agents [PDF]
Econometrics ...
Brink, J.R. van den, Gilles, R.P.
core +1 more source
Are all meats substitutes? A basket‐and‐expenditure‐based approach
Agribusiness, EarlyView.Abstract This study examines the relationship among animal‐based meat and plant‐based meat alternatives (PBMAs) using a basket‐and‐expenditure‐based choice experiment. In particular, we examine whether animal‐based meat products are substitutes or complements with PBMAs.
Clinton L. Neill, Logan L. Britton
wiley +1 more source
Business Strategy and the Environment, Volume 32, Issue 1, Page 820-841, January 2023., 2023 Abstract Recent research suggests that the effect of greenwashing and corporate financial performance (CFP) is ambiguous. This call for study the contextual factors that create contingencies in the greenwashing–CFP relationship. Using a sample of 2816 observations covering 735 Chinese‐listed firms in 21 different industries from 2013 to 2017, this ...
Wei Li +3 more
wiley +1 more source
Time Series Analysis and Forecasting of the US Housing Starts using Econometric and Machine Learning Model [PDF]
arXiv, 2019 In this research paper, I have performed time series analysis and forecasted the monthly value of housing starts for the year 2019 using several econometric methods - ARIMA(X), VARX, (G)ARCH and machine learning algorithms - artificial neural networks, ridge regression, K-Nearest Neighbors, and support vector regression, and created an ensemble model ...
arxiv
Mostly pointless spatial econometrics? [PDF]
, 2010 We argue that identification problems bedevil most applied spatial research. Spatial econometrics solves these problems by deriving estimators assuming that functional forms are known and by using model comparison techniques to let the data choose ...
Gibbons, Stephen, Overman, Henry G.
core
, 2003 This is a project to develop a document for teaching graduate econometrics that is "open source", specifically, licensed as GNU GPL. That is, anyone can access the document in editable form, and can modify it, as long as they make their modifications available.
openaire +2 more sources
Agribusiness, EarlyView.Abstract Nucleus outgrower schemes are contractual arrangements where well‐resourced large‐scale farmers (nucleus farmers) are empowered by development support agencies to take charge of smallholder farmers, by providing them with market access and the necessary training on agronomic practices and farm inputs for production.
Dominic Tasila Konja, Awudu Abdulai
wiley +1 more source
Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector
Agribusiness, EarlyView.Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli +2 more
wiley +1 more source
Fast Estimation of Multinomial Logit Models: R Package mnlogit
Journal of Statistical Software, 2016 We present the R package mnlogit for estimating multinomial logistic regression models, particularly those involving a large number of categories and variables.
Asad Hasan +2 more
doaj +1 more source