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Aalto-yliopiston kauppakorkeakoulun gradujen tiedot nyt Aaltodocissa: Aaltodoc-julkaisuarkisto
Kauppakorkeakoulu | Taloustieteen laitos | Kansantaloustiede | 2014
Tutkielman numero: 13691
Estimating technical efficiency in Finnish industry: A stochastic frontier approach
Tekijä: Hokkanen, Topi
Otsikko: Estimating technical efficiency in Finnish industry: A stochastic frontier approach
Vuosi: 2014  Kieli: eng
Laitos: Taloustieteen laitos
Aine: Kansantaloustiede
Asiasanat: kansantaloustiede; economics; kansantalous; national economy; teollisuus; industry; teknologia; technology; suorituskyky; efficiency; tehokkuus; effectiveness; ekonometria; econometrics; Suomi; Finland
Sivumäärä: 100
Kokoteksti:
» hse_ethesis_13691.pdf pdf  koko: 2 MB (1733381)
Avainsanat: technical efficiency; industry; econometrics; stochastic frontier analysis; stochastic nonparametric envelopment of data; SFA; StoNED
Tiivistelmä:
OBJECTIVES:

The objective of this thesis is to estimate the technical efficiency of Finnish industry in various sectors using stochastic frontier models. Furthermore this thesis provides a comparison between parametric and nonparametric estimation techniques utilized in the efficiency analysis literature. We estimate the technical efficiency for each sector separately, both as a cross-section and using panel data techniques. We discuss the various extensions to the models considered and identify further topics of research based on our estimation results.

METHODOLOGY AND DATA:

This thesis utilizes stochastic frontier estimation techniques to estimate technical efficiency for various sectors of industry. Production frontiers are estimated both parametrically and nonparametrically. The two main approaches to frontier estimation utilized in the thesis are Stochastic Frontier Analysis (SFA) and Stochastic Nonparametric Envelopment of Data (StoNED). The dataset we utilize is a cross-sectional panel dataset of companies operating in various sectors of the Finnish industry. Technical efficiencies are estimated with both cross-sectional and panel data methods, with various specifications.

CONCLUSIONS:

We find that the mean efficiency in most sectors is quite high in most models. The estimated efficiencies are sensitive to the model choice. Parametric and nonparametric estimates are found to be similar and of the same magnitudes for the majority of sectors considered. We find significant variability in technical efficiencies over time, particularly in models where firm-specific heterogeneity is controlled.
Verkkojulkaisut ovat tekijänoikeuden alaista aineistoa. Teokset ovat vapaasti luettavissa ja tulostettavissa henkilökohtaista käyttöä varten. Aineiston käyttö kaupallisiin tarkoituksiin on kielletty.