The detection of influential observations for the standard least squares regression model is a question that has been extensively studied. LAD regression diagnostics offers alternative approaches whose main feature is the robustness. In this paper a new approach for nonparametric detection of influencial observations in LAD regression models is presented and compared with other classical method...

Following EU’s Lisbon strategy development of knowledge-based economy has become one of the headline objectives for the government of Latvia. In this paper we conceptualize driving forces and responses of government’s commitment towards this objective. We investigate feedback loops that underlie dynamics of knowledge industry development. Increase in domestic Research and Development (R&D) acti...

vision and then adopted after an extensive design process. OISD may serve to be a more powerful model of change in that it capitalizes on powerful system concepts such as positive feedback and key leverage points, while still retaining a pragmatic orientation. The six phases of OISD are described below. The phases are loose and overlapping; they naturally would probably occur in sequential orde...

Notwithstanding the usefulness of system dynamics in analyzing complex policy problems, policy design is far from straightforward and in many instances trialand-error driven. To address this challenge, we propose to combine system dynamics with network controllability, an emerging field in network science, to facilitate the detection of effective leverage points in system dynamics models and th...

We comprehensively examine the effects of stock return volatility on firms’ financial and investment decisions. Consistent with theories of investment with financing frictions, firms with high volatility actively reduce their leverage, cut investment, increase cash holding, cut non-cash current assets such as inventories and account receivables, and cut dividend. The effects of volatility are s...

This paper develops a simple business-cycle model in which financial shocks have large macroeconomic effects when private agents are gradually learning their economic environment. When agents update their beliefs about the unobserved process driving financial shocks to the leverage ratio, the responses of output and other aggregates under adaptive learning are significantly larger than under ra...

The main purpose of this research is the study on effect of Financial and Operating Leverage and Venture Capital on Tobin's Q ratio amongst companies listed in Tehran Stock Exchange. In this research, the Holdings and Investment companies are used as statistical samples and 73 enterprises that are listed in Tehran Stock Exchange within 2001 to 2016 have been studied. The results driven by this ...

Choosing the financial supply is one of the most important decisions for providing optimal structure that can be effective for firm value and stocks market of companies. Therefore, marketing as one of the abilities of the firm can be effective on firm function. The purpose of this research is studying the role of marketing intensity on the relation of financial leverage and firm function in Com...