Results 91 to 100 of about 33,661 (311)
Transition Modeling and Econometric Convergence Tests [PDF]
A new panel data model is proposed to represent the behavior of economies in transition allowing for a wide range of possible time paths and individual heterogeneity.
Peter C.B. Phillips, Donggyu Sul
core
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source
Asymptotic properties of a goodness-of-fit test based on maximum correlations [PDF]
We study the efficiency properties of the goodness-of-fit test based on the Qn statistic introduced in Fortiana and Grané (2003) using the concepts of Bahadur asymptotic relative efficiency and Bahadur asymptotic optimality.
Tchirina, Anna V. +2 more
core
CLTs and asymptotic variance of time-sampled Markov chains [PDF]
For a Markov transition kernel P and a probability distribution μ on nonnegative integers, a time-sampled Markov chain evolves according to the transition kernel Pμ = Σkμ(k)Pk.
Łatuszyński, Krzysztof +3 more
core +1 more source
The role of venture‐financed startups in innovation for US agriculture
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff +2 more
wiley +1 more source
Fixed point theorems for nonexpansive mappings are extended to double sequences using four-dimensional matrix transforms. Asymptotic dominance is introduced to unify iteration schemes, including a Mann iteration for Pringsheim convergence, and asymptotic
Sami M. Hamid, Richard F. Patterson
doaj +1 more source
A difference-based approach in the partially linear model with dependent errors
We study asymptotic properties of estimators of parameter and non-parameter in a partially linear model in which errors are dependent. Using a difference-based and ordinary least square (DOLS) method, the estimator of an unknown parametric component is ...
Zhen Zeng, Xiangdong Liu
doaj +1 more source
Maximal uniform convergence rates in parametric estimation problems [PDF]
This paper considers parametric estimation problems with i.i.d. data. It focusses on rate-effciency, in the sense of maximal possible convergence rates of stochastically bounded estimators, as an optimality criterion, largely unexplored in parametric ...
Daniel McFadden, Walter Beckert
core
Characterization of the asymptotic distribution of semiparametric M-estimators
This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators under general misspecification.
Sokbae Lee +5 more
core +1 more source
Abstract Premise Floral adaptations to pollinators can drive lineage diversification and promote coexistence of species. We investigated the reproductive biology of Satyrium longicolle, a South African orchid that we hypothesized to belong to a long‐proboscid horsefly pollination guild and examined overlap of pollinators and floral traits among ...
Steven D. Johnson +3 more
wiley +1 more source

