Motivated by the growing interconnection between online platforms, we examine the dynamic interplay between social buzz and contribution behavior in the crowdfunding context. Since the utility of crowdfunding projects is usually difficult to ascertain, prospective backers draw on quality signals, such as social buzz and prior-contribution behavior, to make their funding decisions. We employ the...

Bu çalışmanın amacı en iyi 10 yükselen piyasa ekonomisinde finansal gelişmişliğin insani gelişim üzerindeki etkisini panel vector autoregression (PVAR) yaklaşımı kullanarak 1990-2018 dönemi için ele almaktır. amaçla özel sektöre sağlanan krediler ve M2 para arzı temel göstergeleri olarak benimsenmiştir. Elde edilen sonuçlar kredilerin GSYH içindeki payında meydana gelen bir birimlik artışın gel...

Motivated by the growing importance of social media, this paper examines the relationship between new media, old media, and sales, in the context of the music industry. In particular, we study the interplay between blog buzz, radio play and music sales, at both the album and song levels of analysis. We employ the Panel Vector Auto-regression (PVAR) methodology, an extension of vector auto-regre...

This study examines the causal relationship between economic growth, financial development, and national governance. To analyze three-way link of stated variables, Panel Vector Auto-Regressive (PVAR) model was applied to 115 economies 1996 2018. The impact each variable shock is explored through Impulse Response Function (IRF) variance decomposition. results indicate that development governance...

In this paper we consider nonhomogeneous autoregressive processes which are special cases of the vector-valued autoregressive processes considered by Anderson (1978) for the analysis of panel survey data. We point out that, for a nonhomogeneous autoregressive process of order higher than one, the least-squares estimates cannot be obtained unless repeated measurements are made on the time series...

The existing spatial panel structural vector auto-regressive model can effectively capture the time and dynamic dependence of endogenous variables. However, hypothesis that common factors have same effect for all units is unreasonable. Therefore, incorporating effects, time-individual this paper develops a more general autoregressive with interactive effects (ISpSVAR) reflect different on units...

 We consider the problem of model selection in vector autoregressive model with Normal innovation. Tests such as Vuong's and Cox's tests are provided for order and model selection, i.e. for selecting the order and a suitable subset of regressors, in vector autoregressive model. We propose a test as a modified log-likelihood ratio test for selecting subsets of regressors. The Europe oil prices, ...

This paper studies regional productive performance differentials among 243 NUTS-2 European regions for the period 2003–11. Within last two decades technology gap between has increased considerably. Building on previous that have used data envelopment analysis (DEA) and which neglected national production structures pre-existing technological heterogeneity, we examine differences in by using a m...

Exploring the spatio-temporal dynamics of poverty is important for research on sustainable reduction in China. Based perspective development geography, this paper proposes a panel vector autoregressive (PVAR) model that combines human approach with global indicator framework Sustainable Development Goals (SDGs) to identify poverty-causing and poverty-reducing factors The aim measure multidimens...

As an important node city of “The Belt and Road” strategy, Urumqi has a non-negligible impact on the ecological environment in process rapid development. It is great significance to understand coupling coordination between urbanization for regional sustainable However, previous studies degree (CCD) model are limited, they ignore endogenous relationship two. Therefore, this study aims introduce ...