The paper examines the relationship between leverage and growth in a group of emerging central and eastern European countries, who are at different levels of financial market development. We hypothesize a non-linear relationship in that moderate leverage could boost growth while very high...

We investigate the interdependence of debt financing and R&D activities of young firms.Using micro-level data of the KfW/ZEW Start-up Panel, our estimation results show that firmcharacteristics are more important than personal characteristics of the founders for explainingyoung firms’...

We investigate the interdependence of debt financing and R&D activities of young firms. Using micro-level data of the KfW/ZEW Start-up Panel, our estimation results show that firm characteristics are more important than personal characteristics of the founders for explaining young firms'...

This paper uses the BEEPS firm-level data to study the process of convergence of transition countries with developed market economies. The primary focus of the study is on competition and market structure, finance and the structure of lending to firms, and how firms respond to the economic...

This study examines the impact of 1997 Asian and 2008 Global financial crises on the capital structure of Korean listed companies. Using a data set covering 1,159 Korean listed non-financial firms from 10 industrial sectors over period 1985-2015, the pattern of firms' capital structure before...

We study the impact of asylum waiting, exploiting a rapid increase in processing times for asylum seekers to Sweden. Longer waiting slows down integration. Accumulated earnings during the first four years after application are 2.3 percent lower per added month of waiting. The impact is due to...

Using a panel of 1122 UK firms listed on the London Stock Exchange over the period of 1981 to 2009, endogenous switching regression models (SRM) incorporating a predicted corporate efficiency index are estimated in this paper in an effort to clarify the role of cash flow in examining the impact...

In RD designs with multiple cutoffs, the identification of an average causal effect across cutoffs may be problematic if a marginally exposed subject is located exactly at each cutoff. This occurs whenever a fixed number of treatment slots is allocated starting from the subject with the highest...

I review recent work in the statistics literature on instrumental variables methods from an econometrics perspective. I discuss some of the older, economic, applications including supply and demand models and relate them to the recent applications in settings of randomized experiments with...

Forecasting errors pose a serious problem of identification, often neglected in empirical applications. Any attempt of estimating choice models under uncertainty may lead to severely biased results in the presence of forecasting errors even when individual expectations on future events are...