This study examines the economic effects of research and development (R&D) supports in the context of a program implemented in Türkiye between 2006-2019. Firms receiving the support differ positively from other firms in key economic indicators. Results indicate a 6% rise in patent...

In this paper we replicate most of the stylized facts characterizing the decline in business dynamism in the USA highlighted by Akcigit and Ates (2021) and provide an explanation of their emergence by means of a macroeconomic agent-based model populated by two types of firms: innovators who...

This paper presents an intuitive model of university-industry (hereafter, UI) research linkages (or collaborations), focusing on the sharing principle under uncertainty. The paper draws from an earlier more complicated dynamic control theory model, but it differs in that it brings into the...

Based on a sample of 7,378 firms going public in the 1975-2005 period, we document a significant underperformance of IPO firms over the first year after going public, while there is virtually no underperformance thereafter. Moreover, by decomposing the Carhart-alpha we find that IPO...

It is well known that the class of strong (Generalized) AutoRegressive Conditional Heteroskedasticity (or GARCH) processes is not closed under contemporaneous aggregation. This paper provides the dynamics followed by the aggregate process when the individual persistence parameters are drawn from...

In this paper, we test one of the fundamental assumptions in the tax competition literature, namely, that a country's taxable income depends on the tax policies pursued in the domestic and in neighbouring countries. Based on a panel of annual data of 14 Western European countries spanning the...

In this paper we put forward a Bayesian Model Averaging method dealing with model uncertainty in the presence of potential spatial autocorrelation. The method uses spatial filtering in order to account for different types of spatial links. We contribute to existing methods that handle spatial...

This paper studies semiparametric versions of the classical sample selection model (Heckman (1976, 1979)) without exclusion restrictions. We extend the analysis in Honor'e and Hu (2020) by allowing for parameter heterogeneity and derive implications of this model. We also consider models that...

This paper explores an algebraic relationship between two types of coefficients for a regression with several predictors and an additive binary group variable. In a general regression, the regression coefficients are allowed to be group-specific, the restricted regression imposes constant...

Conditional heteroskedasticity of the error terms is a common occurrence in financial factor models, such as the CAPM and Fama-French factor models. This feature necessitates the use of heteroskedasticity consistent (HC) standard errors to make valid inference for regression coefficients. In...