An analysis of new firm survival using a hazard function

Holmes, Phil; Hunt, Andrew J.; Stone, Ian R.

doi:10.1080/00036840701579234

Cited by 88 publications

(75 citation statements)

References 26 publications

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“…Existing literature that analyzes firm survival (Box, 2008;Holmes, 2010;Carr, Haggard, Hmieleski, and Zahra, 2010) underwrite the importance of the following conditions are keys: firm size, sector, export activity and innovation intensity. This research examines these variables, together with the influence of incubators, to analyze firm survival.…”

Section: Firm Survivalmentioning

confidence: 99%

Firm survival: The role of incubators and business characteristics

Más‐Verdú

Soriano

Roig‐Tierno

2015

Journal of Business Research

211

105

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The main objective of this research is to analyze the impact of business incubatorson the survival of their associated firms. Using a configurational comparative method, the fuzzy-set qualitative comparative analysis (fs/QCA), it also examines whether the degree of business innovation, size, sector of activity and export activity affect firm survival. One of the most notable conclusions from this analysis is that the survival of a firm is related with at least some of the following characteristics: the firm must be technology-based, its productive focus is on goods (rather than on services), or that it is located within the specific environment of A business incubator.

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Section: Firm Survivalmentioning

confidence: 99%

Firm survival: The role of incubators and business characteristics

Más‐Verdú

Soriano

Roig‐Tierno

2015

Journal of Business Research

211

105

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“…The UK Department for Business Innovation and Skills 1 estimated there were approximately 4.5 million small businesses in the UK providing 13.7 million jobs, equating to half the private sector workforce in 2011 [2]. However, while Small and Medium Enterprises (SMEs) 2 are of importance, it is their durability that can be considered of greater significance [3]. The precarious nature of SME existence has been well documented.…”

Section: Section One: Analysis Of Secondary Sources Introductionmentioning

confidence: 99%

“…The precarious nature of SME existence has been well documented. Recent UK Office for National Statistics 3 estimates indicate that fewer than 65% of SMEs are still trading three years after start-up, with fewer than 45% surviving after five years. Others, however, argue that only about 50% of small businesses are still trading after the first three years of initial start-up [4].…”

Section: Section One: Analysis Of Secondary Sources Introductionmentioning

confidence: 99%

Success in challenging times: Key lessons for UK SMEs

Gray¹,

Saunders²,

Goregaokar³

2013

3rd Annual International Conference on Innovation and Entrepreneurship (IE 2013)

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“…Note that this resulted in data sets with either only personal loans or data sets with a mix of personal and small enterprise loans, for banks C and D. As the SMEs (small and medium-sized enterprises) in our data sets were all sole proprietorships, their properties were nearly identical to those of personal loans. More information on the use of survival models in SMEs in the broader sense can be found in, among others (Fantazzini and Figini, 2009;Gupta et al, 2015;Holmes et al, 2010). For the banks with data covering several loan terms, the data were split in order to get only one loan term per data set, resulting in ten data sets.…”

Section: Data Preprocessing and Missing Inputsmentioning

confidence: 99%

Time to default in credit scoring using survival analysis: a benchmark study

Dirick

Claeskens

Baesens

2017

Journal of the Operational Research Society

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We investigate the performance of various survival analysis techniques applied to ten actual credit data sets from Belgian and UK financial institutions. In the comparison we consider classical survival analysis techniques, namely the accelerated failure time models and Cox proportional hazards regression models, as well as Cox proportional hazards regression models with splines in the hazard function. Mixture cure models for single and multiple events were more recently introduced in the credit risk context. The performance of these models is evaluated using both a statistical evaluation and an economic approach through the use of annuity theory. It is found that spline-based methods and the single event mixture cure model perform well in the credit risk context.

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An analysis of new firm survival using a hazard function

Cited by 88 publications

References 26 publications

Firm survival: The role of incubators and business characteristics

Firm survival: The role of incubators and business characteristics

Success in challenging times: Key lessons for UK SMEs

Time to default in credit scoring using survival analysis: a benchmark study

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