The extensive coverage of household surveys in conflict regions in recent decades has fueled a growing literature on the microeconomic effects of war. In this paper, we use a unique panel dataset to quantify the impact of the Nepalese civil conflict on schooling attainment. Given longitudinal...

This paper is motivated by the US freight railroad industry, which is characterized by a major restructuring over the last 30 years. In particular, the number of active firms decreased from 26 in 1978 to seven in 2006 due to several takeover waves. The empirical focus concerns the estimation of...

Principal Topic In this paper we seek to highlight the important intermediate role that the gestation process plays in entrepreneurship by examining its key antecedents and its consequences for new venture emergence. In doing so we take a behavioural perspective and argue that it is not only...

Firm inception is integral to the definition of the ‘international new venture’/‘born global’, yet has received little attention. In line with entrepreneurship research, we propose that inception be analysed as a process of organizational emergence. By means of a qualitative...

This article deals with the organizational emergence and morphogenesis of a organic farming in a theoretical and sociological perspective. The purpose is to integrate the notion of project into the effort of theorization of the construction of collective action and competitive regulation. We...

Networks are important to entrepreneurial success. However, most research in this area to date has merely addressed the what; namely, what types of networks enable success. We seek to extend this stream of research by answering the how and the why. In so doing, we elaborate on how entrepreneurs...

We consider conditional maximum likelihood estimator (cMLE) for the proportional hazards model with left-truncated and interval-censored data. We show that when the covariates are discrete the cMLE is the MLE, and under some regularity conditions the cMLE for the regression parameter is...

We develop composite estimators and its large sample properties for the additive risk model with length-biased and right-censored data. We also conduct simulation studies to confirm the good finite sample performance of our methods and then give a real data example.

<Para ID="Par1">For a linear regression model subject to left-truncation and right-censoring where the truncation and censoring points are known constants (or always observed if random), Karlsson and Laitila (Stat Probab Lett 78:2567–2571, <CitationRef CitationID="CR3">2008</CitationRef>) proposed a semiparametric estimator which deals with...</citationref></para>