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Dynamic panel estimation of a regional adjustment model with spatial-temporal robust covariance

Lambert, Dayton M. - In: Letters in spatial and resource sciences : LSRS 13 (2020) 3, pp. 245-265

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012392257

Old and new approaches for spatially varying coefficient models

Lambert, Dayton M. - In: The review of regional studies : a joint publ. of the … 51 (2021) 2, pp. 113-128

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012616742

The Impact of Effect Size Heterogeneity on Meta-Analysis: A Monte Carlo Experiment

Koetse, Mark J.; Florax, Raymond J.G.M.; de Groot, … - 2007

In this paper we use Monte Carlo simulation to investigate the impact of effect size heterogeneity on the results of a meta-analysis. Specifically, we address the small sample behaviour of the OLS, the fixed effects regression and the mixed effects meta-estimators under three alternative...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010325529

Geographically weighted regression bandwidth selection and spatial autocorrelation : an empirical example using Chinese agriculture data

Cho, Seong-hoon; Lambert, Dayton M.; Chen, Zhuo - In: Applied economics letters 17 (2010) 7/9, pp. 767-772

Persistent link: https://ebvufind01.dmz1.zbw.eu/10003996711

Application of the simultaneous least squares-probit Nelson-Olson covariance estimator for stratified surveys

Lambert, Dayton M.; Cho, Seong-hoon; Jung, S. - In: Economics letters 116 (2012) 3, pp. 519-522

Persistent link: https://ebvufind01.dmz1.zbw.eu/10009674906

Adoption and frequency of precision soil testing in cotton production

Lambert, Dayton M.; English, Burton C.; Harper, David C.; … - In: Journal of agricultural and resource economics : JARE ; … 39 (2014) 1, pp. 106-123

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010380864

Spatial-temporal heteroskedastic robust covariance estimation for Markov transition probabilities : an application examining land use change

Lambert, Dayton M.; Boyer, C. N.; He, L. - In: Letters in spatial and resource sciences : LSRS 9 (2016) 3, pp. 353-362

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011565185