Results 131 to 140 of about 7,508 (250)

Drivers of climate-smart agricultural technology uptake among smallholder coffee farmers in Kalehe Territory, Democratic Republic of Congo

open access: yesCogent Food & Agriculture
Climate-smart agricultural technologies (CSATs) are important for climate change adaptation and mitigation in developing countries. Therefore, it is crucial for farmers to have access to sustainable CSATs to cope with climate change.
Florence Bwiza   +3 more
doaj   +1 more source

Formal Institutions and Corporate Tax Disclosures: A Cross‐Country Analysis

open access: yesRegulation &Governance, EarlyView.
ABSTRACT This study examines the impact of tax‐related formal institutions on corporate tax disclosures. Our theorizing, based on voluntary disclosure theory and institutional theory, highlights the cost–benefit analysis firms engage in to decide on corporate tax disclosures, where transparency enhances legitimacy but also entails risks like revealing ...
Reggy Hooghiemstra   +2 more
wiley   +1 more source

Multivariate cumulative probit for age estimation using ordinal categorical data

open access: yesAnnals of Human Biology, 2015
Multivariate ordinal categorical data have figured prominently in the age estimation literature. Unfortunately, the osteological and dental age estimation literature is often disconnected from the statistical literature that provides the underpinnings for rationale analyses.The aim of the study is to provide an analytical basis for age estimation using
openaire   +2 more sources

Instrumental Approach to Institutional Corruption: Explaining Performance‐Conditional Acceptance of Corruption Among Citizens in European Countries

open access: yesRegulation &Governance, EarlyView.
ABSTRACT This article explores the mechanisms through which institutional corruption and engagement in corruption at the societal level may be normalized to the extent that citizens adopt an instrumental approach to corruption. Such an approach means that the public accepts corrupt practices and sees them as reasonable, as long as they achieve results ...
Shlomo Mizrahi, Shani Bar
wiley   +1 more source

An Efficient Estimator for Dealing with Missing Data on Explanatory Variables in a Probit Choice Model [PDF]

open access: yes
A common approach to dealing with missing data in econometrics is to estimate the model on the common subset of data, by necessity throwing away potentially useful data.
Denis Conniffe, Donal O’Neill
core  

Term Spread Volatility as a Leading Indicator of Economic Activity

open access: yesJournal of Forecasting, Volume 45, Issue 5, Page 2332-2354, August 2026.
ABSTRACT In this paper, we examine the macroeconomic predictive power of the volatility of the US Treasury yield curve slope (term spread volatility). Our forecasting exercise shows that US term spread volatility has significant predictive power for US industrial production and employment growth.
Anastasios Megaritis   +3 more
wiley   +1 more source

Estimating Fully Observed Recursive Mixed-Process Models with cmp

open access: yes
At the heart of many econometric models is a linear function and a normal error. Examples include the classical small-sample linear regression model and the probit, ordered probit, multinomial probit, Tobit, interval regression, and truncateddistribution
David Roodman
core  

Data Augmentation in the Bayesian Multivariate Probit Model [PDF]

open access: yes, 2004
This paper is concerned with the Bayesian estimation of a Multivariate Probit model. In particular, this paper provides an algorithm that obtains draws with low correlation much faster than a pure Gibbs sampling algorithm. The algorithm consists in sampling some characteristics of slope and variance parameters marginally on the latent data. Estimations
openaire   +2 more sources

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

open access: yesJournal of Forecasting, Volume 45, Issue 4, Page 1529-1558, July 2026.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

Gender and Innovation During a Business Crisis

open access: yesGender, Work &Organization, Volume 33, Issue 4, Page 1327-1346, July 2026.
ABSTRACT This research investigates the relational construction of gender and innovation within small and medium enterprises (SMEs) during systemic business crises. Moving beyond essentialist, trait‐based perspectives, this study adopts a processual feminist lens to explore how gendered organizational practices shape innovative capacity during ...
Timothy Kiessling   +3 more
wiley   +1 more source

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