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Publications (10 of 14) Show all publications
Fredman, P. & Wikström, D. (2018). Income elasticity of demand for tourism at Fulufjället National Park. Tourism Economics, 24(1), 51-63
Open this publication in new window or tab >>Income elasticity of demand for tourism at Fulufjället National Park
2018 (English)In: Tourism Economics, ISSN 1354-8166, E-ISSN 2044-0375, Vol. 24, no 1, p. 51-63Article in journal (Refereed) Published
National Category
Other Social Sciences not elsewhere specified
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-27110 (URN)10.1177/1354816617724012 (DOI)000426013200004 ()2-s2.0-85040834509 (Scopus ID)
Available from: 2018-02-05 Created: 2018-02-05 Last updated: 2018-03-19Bibliographically approved
Wikström, D., Brandt, D. & Heldt, T. (2016). A business intelligence solution of handling traveling data with R and Shiny. In: Fuchs, M., Lexhagen, M. & Höpken, W. (Ed.), Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain: . Paper presented at IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain, Östersund, Sweden, April 11-12, 2016.
Open this publication in new window or tab >>A business intelligence solution of handling traveling data with R and Shiny
2016 (English)In: Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain / [ed] Fuchs, M., Lexhagen, M. & Höpken, W., 2016Conference paper, Published paper (Refereed)
National Category
Information Systems
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-23617 (URN)978-91-88025-62-3 (ISBN)
Conference
IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain, Östersund, Sweden, April 11-12, 2016
Available from: 2016-12-19 Created: 2016-12-19 Last updated: 2018-01-13Bibliographically approved
Wikström, D. (2016). Modified fixed effects estimation of technical inefficiency. Journal of Productivity Analysis, 46(1), 83-86
Open this publication in new window or tab >>Modified fixed effects estimation of technical inefficiency
2016 (English)In: Journal of Productivity Analysis, ISSN 0895-562X, E-ISSN 1573-0441, Vol. 46, no 1, p. 83-86Article in journal (Refereed) Published
Abstract [en]

We consider method-of-moments fixed effects (FE) estimation of technical inefficiency. When dealing with a large number of cross-sectional observations, N, it is possible to obtain consistent moment estimators of the inefficiency distribution. It is well known that the classical FE estimator may be seriously upward biased when N is large and T, the number of time observations, is small. The method-of-moments FE estimators do not suffer from this type of bias in large-N settings. The proposed methodology bridges classical FE and maximum likelihood estimation, leading to a reduction in bias without making the random effects assumption.

Keywords
Technical inefficiency, Fixed effects estimator, Method of moments
National Category
Business Administration
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-22663 (URN)10.1007/s11123-016-0473-3 (DOI)000379172500006 ()
Available from: 2016-08-03 Created: 2016-08-03 Last updated: 2017-11-28Bibliographically approved
Brandt, D., Heldt, T. & Wikström, D. (2016). Potential research areas for big data in tourism. In: Fuchs, M., Lexhagen, M. & Höpken, W. (Ed.), Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain: . Paper presented at IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain. Östersund, Sweden, April 11-12, 2016.
Open this publication in new window or tab >>Potential research areas for big data in tourism
2016 (English)In: Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain / [ed] Fuchs, M., Lexhagen, M. & Höpken, W., 2016Conference paper, Published paper (Refereed)
Keywords
Business Intelligence, Big Data, Tourism
National Category
Information Systems
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - tourism
Identifiers
urn:nbn:se:du-23616 (URN)978-91-88025-62-3 (ISBN)
Conference
IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain. Östersund, Sweden, April 11-12, 2016
Available from: 2016-12-19 Created: 2016-12-19 Last updated: 2018-01-13Bibliographically approved
Wikström, D. (2015). A finite sample improvement of the fixed effects estimator applied to technical inefficiency. Journal of Productivity Analysis, 43(1), 29-46
Open this publication in new window or tab >>A finite sample improvement of the fixed effects estimator applied to technical inefficiency
2015 (English)In: Journal of Productivity Analysis, ISSN 0895-562X, E-ISSN 1573-0441, Vol. 43, no 1, p. 29-46Article in journal (Refereed) Published
Abstract [en]

The fixed effects (‘FE’) estimator of technical inefficiency performs poorly when N (the ’number of firms’) is large and T (the ‘number of time observations’) is small. We propose kernel estimators, which includes the FE estimator as a special case. In terms of criteria based on collective conditional ‘mean square error’, it is demonstrated that some kernel estimators are more efficient than the FE estimators of firm effects and inefficiencies in finite sample settings. Monte Carlo simulations support our theoretical findings, and we use an empirical example to show how FE estimation and kernel estimation lead to very different conclusions about technical inefficiency among Indonesian rice farmers.

Keywords
Econometrics, Technical output inefficiency, Panel data
National Category
Economics
Research subject
Komplexa system - mikrodataanalys, General Microdata Analysis - methods
Identifiers
urn:nbn:se:du-16684 (URN)10.1007/s11123-014-0424-9 (DOI)
Available from: 2015-01-14 Created: 2015-01-14 Last updated: 2017-12-05Bibliographically approved
Wikström, D. (2015). A Note on Proxy Variables and Instrument Variable Regression. Borlänge: Högskolan Dalarna
Open this publication in new window or tab >>A Note on Proxy Variables and Instrument Variable Regression
2015 (English)Report (Other academic)
Abstract [en]

This is a note about proxy variables and instruments for identification of structural parameters in regression models. We have experienced that in the econometric textbooks these two issues are treated separately, although in practice these two concepts are very often combined. Usually, proxy variables are inserted in instrument variable regressions with the motivation they are exogenous. Implicitly meaning they are exogenous in a reduced form model and not in a structural model. Actually if these variables are exogenous they should be redundant in the structural model, e.g. IQ as a proxy for ability. Valid proxies reduce unexplained variation and increases the efficiency of the estimator of the structural parameter of interest. This is especially important in situations when the instrument is weak. With a simple example we demonstrate what is required of a proxy and an instrument when they are combined. It turns out that when a researcher has a valid instrument the requirements on the proxy variable is weaker than if no such instrument exists

Place, publisher, year, edition, pages
Borlänge: Högskolan Dalarna, 2015
Series
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2015:04
Keywords
Instrument variable regression, Proxy variables
National Category
Probability Theory and Statistics
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-17295 (URN)
Available from: 2015-04-16 Created: 2015-04-16 Last updated: 2017-08-25Bibliographically approved
Fredman, P. & Wikström, D. (2015). Besök och besökare i Fulufjällets nationalpark sommaren 2014 (med jämförelser åren 2001 och 2003). Östersund: Mittuniversitetet
Open this publication in new window or tab >>Besök och besökare i Fulufjällets nationalpark sommaren 2014 (med jämförelser åren 2001 och 2003)
2015 (Swedish)Report (Other academic)
Place, publisher, year, edition, pages
Östersund: Mittuniversitetet, 2015. p. 120
Series
ETOUR Rapport ; 2015:5
National Category
Other Social Sciences
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-19980 (URN)978-91-88025-44-9 (ISBN)
Available from: 2015-11-11 Created: 2015-11-11 Last updated: 2015-11-11Bibliographically approved
Wikström, D. (2015). Consistent method of moments estimation of the true fixed effects model. Borlänge: Högskolan Dalarna
Open this publication in new window or tab >>Consistent method of moments estimation of the true fixed effects model
2015 (English)Report (Other academic)
Place, publisher, year, edition, pages
Borlänge: Högskolan Dalarna, 2015
Series
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2015:05
Keywords
Stochastic frontier, Fixed effects, Panel data, Method of moments
National Category
Economics Probability Theory and Statistics
Research subject
Komplexa system - mikrodataanalys
Identifiers
urn:nbn:se:du-17339 (URN)
Available from: 2015-04-30 Created: 2015-04-30 Last updated: 2015-05-05Bibliographically approved
Wikström, D. (2015). Consistent method of moments estimation of the true fixed effects model. Economics Letters, 137, 62-69
Open this publication in new window or tab >>Consistent method of moments estimation of the true fixed effects model
2015 (English)In: Economics Letters, ISSN 0165-1765, E-ISSN 1873-7374, Vol. 137, p. 62-69Article in journal (Refereed) Published
Abstract [en]

About a decade ago William H. Greene introduced the so-called ‘True fixed effects’ (TFE) model, which is intended to discriminate between heterogeneity and efficiency in stochastic frontier analysis. We would say that the TFE model has had a huge impact on applied stochastic frontier analysis. One problem with the original TFE estimator, is its inconsistency in cases with finite time observations, at least for the variance components. For the normal-half-normal model, this problem was solved by Chen et al. (2014) based on maximum likelihood estimation of the within-transformed model. In this study, we illustrate the possibilities offered by method of moments estimation. This approach is more flexible than the MLE proposed by Chen et al. (2014), since the method of moments estimators are not so closely dependent on the distributional assumptions and do not hinge on an explicit distribution of the random error. We only assume symmetry, as well as a fixed fourth-order cumulant for more complicated models. Greene’s methodology can, and has been, generalized to other models than the normal-half-normal model. However, the method of moments estimators proposed here are consistent.

Place, publisher, year, edition, pages
Elsevier, 2015
Keywords
stochastic frontier; fixed effects; panel data; method of moments
National Category
Economics Probability Theory and Statistics
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-19966 (URN)10.1016/j.econlet.2015.08.036 (DOI)000367492000016 ()
Available from: 2015-11-10 Created: 2015-11-10 Last updated: 2017-12-01Bibliographically approved
Brandt, D. & Wikström, D. (2015). Education and careers in the Swedish tourism sector: How important is education for building a successful career?. In: : . Paper presented at 24th Nordic Symposium of Tourism and Hospitality Research. Responsible tourism? Reykjavik, Island 1-3 oktober 2015.
Open this publication in new window or tab >>Education and careers in the Swedish tourism sector: How important is education for building a successful career?
2015 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Human Geography
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-20459 (URN)
Conference
24th Nordic Symposium of Tourism and Hospitality Research. Responsible tourism? Reykjavik, Island 1-3 oktober 2015
Available from: 2015-12-18 Created: 2015-12-18 Last updated: 2016-12-20Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-4378-9593

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