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Laitila, T., Paulrud, A. & Waldo, S. (2018). Valuation of fishing rights associated with Swedish real estate. Journal of Forest Economics, 30, 25-31
Open this publication in new window or tab >>Valuation of fishing rights associated with Swedish real estate
2018 (English)In: Journal of Forest Economics, ISSN 1104-6899, E-ISSN 1618-1530, Vol. 30, p. 25-31Article in journal (Refereed) Published
Abstract [en]

In the economic literature on fisheries there is a long tradition of presenting the role of private property rights in efficient and sustainable fisheries management. We contribute to the literature by analyzing the market value of one of the world's most well defined fishing rights: the ownership of Swedish property where the fishing rights are an inseparable part of the real estate that can be traded in an open market. The fishing rights are primarily used for recreational fishing. For real estate that includes dwellings and vacation homes, the estimated value of these rights is about SEK 60,000 (about 6300), in 2016 prices. This corresponds to 4.5% of the average real estate value. However, the values are heterogeneous, and for real estate with agricultural and/or forestry land the value of the rights is less than SEK 10,000. This could be due to forest owners (as opposed to vacation home owners) primarily view the real estate as a means of generating economic returns, and the potential for this is low for fishing. The valuation of the right is expected to be a determinant of engagement in resource management and is thus important in the development of public policies for both the fish resource and recreational fisheries.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Forestry, Recreation, Hedonic modeling, Mixture distributions
National Category
Business Administration
Identifiers
urn:nbn:se:oru:diva-66585 (URN)10.1016/j.jfe.2017.11.004 (DOI)000428028000003 ()2-s2.0-85039795262 (Scopus ID)
Note

Funding Agency:

Swedish University of Agricultural Sciences 

Available from: 2018-04-13 Created: 2018-04-13 Last updated: 2018-04-13Bibliographically approved
Rota, B. J. & Laitila, T. (2017). Calibrating on Principal Components in the Presence of Multiple Auxiliary Variables for Nonresponse Adjustment. South African Statistical Journal, 51(1), 103-125
Open this publication in new window or tab >>Calibrating on Principal Components in the Presence of Multiple Auxiliary Variables for Nonresponse Adjustment
2017 (English)In: South African Statistical Journal, ISSN 0038-271X, E-ISSN 1996-8450, Vol. 51, no 1, p. 103-125Article in journal (Refereed) Published
Place, publisher, year, edition, pages
South African Statistical Association, 2017
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:oru:diva-52795 (URN)000424620000006 ()2-s2.0-85034217718 (Scopus ID)
Available from: 2016-10-04 Created: 2016-10-04 Last updated: 2018-02-28Bibliographically approved
Laitila, T. & de Groote, A. (2017). Model-based estimation of household food expenditures: A case study. In: NTTS 2017 proceedings: . Paper presented at New Techniques and Technologies for Statistics (NTTS 2017), Brussels, Belgium, March 13-17, 2017.
Open this publication in new window or tab >>Model-based estimation of household food expenditures: A case study
2017 (English)In: NTTS 2017 proceedings, 2017Conference paper, Oral presentation with published abstract (Refereed)
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:oru:diva-61405 (URN)10.2901/EUROSTAT.C2017.001 (DOI)
Conference
New Techniques and Technologies for Statistics (NTTS 2017), Brussels, Belgium, March 13-17, 2017
Available from: 2017-10-11 Created: 2017-10-11 Last updated: 2017-10-17Bibliographically approved
Laitila, T., Lindgren, K., Norberg, A. & Tongur, C. (2017). Quantifying Measurement Errors in Partially Edited Business Survey Data. In: Paul P. Biemer, Edith de Leeuw, Stephanie Eckman, Brad Edwards, Frauke Krauter, Lars E. Lyberg, N. Clyde Tucker, and Brady T. West (Ed.), Total Survey Error in Practice: improving Quality in the Era of Big Data (pp. 319-337). Hoboken, New Jersey: John Wiley & Sons
Open this publication in new window or tab >>Quantifying Measurement Errors in Partially Edited Business Survey Data
2017 (English)In: Total Survey Error in Practice: improving Quality in the Era of Big Data / [ed] Paul P. Biemer, Edith de Leeuw, Stephanie Eckman, Brad Edwards, Frauke Krauter, Lars E. Lyberg, N. Clyde Tucker, and Brady T. West, Hoboken, New Jersey: John Wiley & Sons, 2017, p. 319-337Chapter in book (Refereed)
Place, publisher, year, edition, pages
Hoboken, New Jersey: John Wiley & Sons, 2017
Series
Wiley Series in Survey Methodology
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:oru:diva-61404 (URN)9781119041672 (ISBN)
Available from: 2017-10-11 Created: 2017-10-11 Last updated: 2017-10-17Bibliographically approved
Laitila, T., Lundgren, M. & Olsson, M. (2015). Commuting and the Economic Milieu: An Investigation of the Choice to Commute Related to Labor Demand, Worker Competition and Wage. In: Iréne Bernhard (Ed.), Regional Development in an International Context: Regional, National, Cross Border and International Factors for Growth and Development. Paper presented at The 18th Uddevalla Symposium, Sönderborg, Denmark, 11-13 June 2015 (pp. 369-380). Trollhättan: University West
Open this publication in new window or tab >>Commuting and the Economic Milieu: An Investigation of the Choice to Commute Related to Labor Demand, Worker Competition and Wage
2015 (English)In: Regional Development in an International Context: Regional, National, Cross Border and International Factors for Growth and Development / [ed] Iréne Bernhard, Trollhättan: University West , 2015, p. 369-380Conference paper, Published paper (Refereed)
Abstract [en]

We calculate aggregate economic-milieu variables and use them as explanatory variables to study the Swedish commuting pattern. The variables are of accessibility type (i.e. spatially discounted) and are logarithmic ratios. We start from the assumption of utility maximizing individuals. The probability to commute using a link increases with expected utility. We apply two models: the quantity model and the wage model. The explanatory power is high and the results are as expected. Labor demand is positively related to utility. Worker competition is negatively related to utility. Wage is positively related to utility. A municipality, which isnot a regional center, can strive to increase the number of jobs within the municipality. The second best, for such a municipality, is that jobs are available in the municipality that is the regional center. Otherwise, the municipality and region will economically decline.

Place, publisher, year, edition, pages
Trollhättan: University West, 2015
Series
Reports ; 2015:2
Keywords
Commuting, Economic milieu, Accessibility, Labor demand, Worker competition, Wage
National Category
Economics and Business
Identifiers
urn:nbn:se:oru:diva-62294 (URN)978-91-87531-17-0 (ISBN)
Conference
The 18th Uddevalla Symposium, Sönderborg, Denmark, 11-13 June 2015
Available from: 2017-11-10 Created: 2017-11-10 Last updated: 2018-09-07Bibliographically approved
Rota, B. J. & Laitila, T. (2015). Comparisons Of Some Weighting Methods For Nonresponse Adjustment. Lithuaninan Journal of Statistics, 54(1), 69-83
Open this publication in new window or tab >>Comparisons Of Some Weighting Methods For Nonresponse Adjustment
2015 (English)In: Lithuaninan Journal of Statistics, ISSN 1392-642X, Vol. 54, no 1, p. 69-83Article in journal (Refereed) Published
Abstract [en]

Sample and population auxiliary information have been demonstrated to be useful and yield approximately equal resultsin large samples. Several functional forms of weights are suggested in the literature. This paper studies the properties of calibrationestimators when the functional form of response probability is assumed to be known. The focus is on the difference between populationand sample level auxiliary information, the latter being demonstrated to be more appropriate for estimating the coefficients in theresponse probability model. Results also suggest a two-step procedure, using sample information for model coefficient estimation inthe first step and calibration estimation of the study variable total in the second step.

Place, publisher, year, edition, pages
Vilnius: Lietuvos Statistiku Sajunga/Statistics Lithuania, 2015
Keywords
calibration, auxiliary variables, response probability, maximum likelihood
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:oru:diva-52792 (URN)
Available from: 2016-10-04 Created: 2016-10-04 Last updated: 2019-04-08Bibliographically approved
Laitila, T., Lundgren, M. & Olsson, M. (2014). A model of commuting and the economic milieu: an analysis using aggregared data for Sweden. In: Iréne Bernhard (Ed.), Geography of growth: the frequency, nature and consequences of entrepreneurship and innovation in regions of varying density : revised papers presented at the 17th Uddevalla Symposium, 12–14 June, 2014, Uddevalla, Sweden (pp. 549-562). Trollhättan: Högskolan Väst
Open this publication in new window or tab >>A model of commuting and the economic milieu: an analysis using aggregared data for Sweden
2014 (English)In: Geography of growth: the frequency, nature and consequences of entrepreneurship and innovation in regions of varying density : revised papers presented at the 17th Uddevalla Symposium, 12–14 June, 2014, Uddevalla, Sweden / [ed] Iréne Bernhard, Trollhättan: Högskolan Väst , 2014, p. 549-562Chapter in book (Refereed)
Place, publisher, year, edition, pages
Trollhättan: Högskolan Väst, 2014
Series
Reports University West, ISSN 1653-7831 ; 2014:2
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:oru:diva-44279 (URN)9789187531026 (ISBN)
Available from: 2015-04-15 Created: 2015-04-15 Last updated: 2018-06-18Bibliographically approved
Karlsson, M. & Laitila, T. (2014). Finite mixture modeling of censored regression models. Statistical papers, 55(3), 627-642
Open this publication in new window or tab >>Finite mixture modeling of censored regression models
2014 (English)In: Statistical papers, ISSN 0932-5026, E-ISSN 1613-9798, Vol. 55, no 3, p. 627-642Article in journal (Refereed) Published
Abstract [en]

A finite mixture of Tobit models is suggested for estimation of regression models with a censored response variable. A mixture of models is not primarily adapted due to a true component structure in the population; the flexibility of the mixture is suggested as a way of avoiding non-robust parametrically specified models. The new estimator has several interesting features. One is its potential to yield valid estimates in cases with a high degree of censoring. The estimator is in a Monte Carlo simulation compared with earlier suggestions of estimators based on semi-parametric censored regression models. Simulation results are partly in favor of the proposed estimator and indicate potentials for further improvements.

Keywords
Finite mixture models, Censoring, Tobit, EM-algorithm
National Category
Probability Theory and Statistics
Research subject
Statistics; Mathematics
Identifiers
urn:nbn:se:oru:diva-36166 (URN)10.1007/s00362-013-0509-y (DOI)000339339100004 ()2-s2.0-84903907361 (Scopus ID)
Available from: 2014-09-03 Created: 2014-08-28 Last updated: 2018-06-09Bibliographically approved
Paulrud, A. & Laitila, T. (2013). A cost-benefit analysis of restoring the Em River in Sweden: valuation of angling site characteristics and visitation frequency. Applied Economics, 45(16), 2255-2266
Open this publication in new window or tab >>A cost-benefit analysis of restoring the Em River in Sweden: valuation of angling site characteristics and visitation frequency
2013 (English)In: Applied Economics, ISSN 0003-6846, E-ISSN 1466-4283, Vol. 45, no 16, p. 2255-2266Article in journal (Refereed) Published
Abstract [en]

This article uses Cost-Benefit Analysis (CBA) to evaluate restoration scenarios aimed at improving angling on the Em River in Sweden. We find that none of the proposed projects are socially profitable when considering only values associated with angling. We rely on a Choice Experiment (CE) to derive utilities and estimate the monetary value of angling site characteristics and then also use the utilities derived in a visitation frequency using a two-stage budgeting approach. The visitation frequency is then used to extract values for fishing license sales and business-related income. The case study illustrates how CBA can provide useful insights into the potential economic returns of environmental restoration projects. Our case study also indicates that the results in terms of Willingness-To-Pay (WTP) and visitation frequency are general findings – i.e. they appear similar across angling sites – which is particularly useful from a policy point of view because it supports the use of benefit transfer for more cost-effective river management.

Place, publisher, year, edition, pages
Routledge, 2013
National Category
Economics and Business Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:oru:diva-26427 (URN)10.1080/00036846.2012.659348 (DOI)000303583100010 ()2-s2.0-84859635612 (Scopus ID)
Available from: 2012-11-12 Created: 2012-11-12 Last updated: 2017-12-07Bibliographically approved
Daas, P., Tennekes, M., Ossen, S., Di Bella, G., Galiè, L., Laitila, T., . . . Wallgren, B. (2013). Guidelines on the usage of the prototype of the computerized version of QRCA, and Report on the overall evaluation results. (Deliverable WP8.2).
Open this publication in new window or tab >>Guidelines on the usage of the prototype of the computerized version of QRCA, and Report on the overall evaluation results. (Deliverable WP8.2)
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2013 (English)Report (Refereed)
Abstract [en]

In this report the findings of the evaluation of various administrative data sources used by Dutch, Italian and Swedish National Statistical Institutes are reported. Administrative data sources were studied from both the data source quality and input oriented output quality point of view (deliverable 4.2). Since not all of the institutes were able to directly apply the statistical measurement methods implemented in the R-package developed in WP 4 (deliverable 4.3), the measurement methods required were implemented in the (standard) programming language of choice for each institute. The experiences and results obtained by the NSIs involved are generally discussed in this report. In the appendices, the findings of each source foreach individual NSI are included. This report also contains the manual for the methods implemented in the dataquality R-package and the most recent version of the Quality Report Card for Administrative data (QRCA).

Publisher
p. 187
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:oru:diva-61420 (URN)
Projects
FP7: BLUE-Enterprise and Trade Statistics (BLUE-ETS)
Funder
EU, FP7, Seventh Framework Programme, SSH-CT-2010-244767
Available from: 2017-10-11 Created: 2017-10-11 Last updated: 2018-05-29Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1040-3332

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