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  • 1.
    Daas, Piet
    et al.
    Centraal Bureau voor de Statistiek (CBS), The Hague, The Netherlands.
    Tennekes, Martijn
    Centraal Bureau voor de Statistiek (CBS), The Hague, The Netherlands.
    Ossen, Saskia
    Centraal Bureau voor de Statistiek (CBS), The Hague, The Netherlands.
    Di Bella, Grazia
    Istituto Nazionale di Statistica (ISTAT), Rome, Italy.
    Galiè, Lorena
    Istituto Nazionale di Statistica (ISTAT), Rome, Italy.
    Laitila, Thomas
    Statistiska centralbyrån, Stockholm, Sweden.
    Lennartsson, Daniel
    Statistiska centralbyrån, Stockholm, Sweden.
    Nilsson, Richard
    Statistiska centralbyrån, Stockholm, Sweden.
    Wallgren, Anders
    Statistiska centralbyrån, Stockholm, Sweden.
    Wallgren, Britt
    Statistiska centralbyrån, Stockholm, Sweden.
    Guidelines on the usage of the prototype of the computerized version of QRCA, and Report on the overall evaluation results. (Deliverable WP8.2)2013Report (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).

  • 2.
    Ilves, Maiki
    et al.
    Örebro University, Swedish Business School at Örebro University.
    Laitila, Thomas
    Örebro University, Swedish Business School at Örebro University.
    Probability-sampling approach to editing2009In: Austrian journal of statistics, ISSN 1026-597X, no 3, p. 171-182Article in journal (Refereed)
    Abstract [en]

    Editing for measurement errors is always part of data processing. In traditional editing, all data records are checked for errors and inconsistencies. In a new way of editing, only the subset with the most important erroneous responses is considered for editing. This approach is applied in selective editing procedures, which have been shown to save resources considerably. However, selective editing lacks a probabilistic basis and the properties of estimators cannot be established using standard methods. In particular, bias properties of the estimator are unknown except for level estimates based on historical data. This paper proposes combining selective editing with an editing procedure based on the traditional probability-sampling framework. The variance of a bias-corrected Horvitz-Thompson estimator is derived and a variance estimator is proposed. The results of a simulation study support the use of the combined editing procedure.

  • 3. Karlsson, Maria
    et al.
    Laitila, Thomas
    Örebro University, Swedish Business School at Örebro University.
    A semiparametric regression estimator under left truncation and right censoring2008In: Statistics and Probability Letters, ISSN 0167-7152, E-ISSN 1879-2103, Vol. 78, no 16, p. 2567-2571Article in journal (Refereed)
    Abstract [en]

    An estimator is proposed for semiparametric linear regression models with left truncated and right censored dependent variables. The estimator is derived from a moment condition following the principles of Newey [Newey, W.K., 2001. Conditional moment restrictions in censored and truncated regression models. Econometric Theory 17, 863–888] on conditional moment conditions. Consistency of the estimator is shown and simulation is used for illustration of the small sample properties.

  • 4.
    Karlsson, Maria
    et al.
    Dept Stat, USBE, Umeå Univ, Umeå, Sweden.
    Laitila, Thomas
    Örebro University, Örebro University School of Business.
    Finite mixture modeling of censored regression models2014In: Statistical papers, ISSN 0932-5026, E-ISSN 1613-9798, Vol. 55, no 3, p. 627-642Article in journal (Refereed)
    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.

  • 5.
    Kling, Anna-Maria
    et al.
    Örebro University, Swedish Business School at Örebro University.
    Laitila, Thomas
    Örebro University, Swedish Business School at Örebro University.
    Svenska konsumenters attityder till miljö- och ursprungsmärkning av matfisk2008Report (Other academic)
  • 6.
    Laitila, Thomas
    Örebro University, Örebro University School of Business.
    Design av undersökning om cykelanvändning i Göteborgs kommun: projekt på uppdrag av Trafikkontoret, Göteborgs kommun2010Report (Other academic)
  • 7.
    Laitila, Thomas
    Örebro University, Örebro University School of Business.
    On imputation of binary variables in registers2011Conference paper (Other academic)
  • 8.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business.
    de Groote, Annica
    Statistiska centralbyrån, Stockholm, Sweden.
    Model-based estimation of household food expenditures: A case study2017In: NTTS 2017 proceedings, 2017Conference paper (Refereed)
  • 9.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business.
    Holmberg, A.
    Snölilja, E.
    Om register och imputering av binära variabler2010Conference paper (Other academic)
  • 10.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business.
    Holmberg, Anders
    Comparison of sample survey and register based estimators via MSE decomposition2010Conference paper (Other academic)
  • 11.
    Laitila, Thomas
    et al.
    Örebro University, Department of Business, Economics, Statistics and Informatics.
    Isaksson, Annica
    Design-based inference from on-site samples2007In: Statistics in Transition, ISSN 1234-7655, Vol. 8, no 3, p. 459-474Article in journal (Refereed)
  • 12.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business.
    Janson, N.
    A comparison of estimators for the number of job openings in Sweden2010In: Proceedings of the 1:st and 2:nd International Workshops on Methodologies for Job Vacancy Statistics, European Commission, 2010, p. 83-92Conference paper (Other academic)
  • 13.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business.
    Lindgren, Karin
    Statistiska centralbyrån, Stockholm, Sweden.
    Norberg, Anders
    Statistiska centralbyrån, Stockholm, Sweden.
    Tongur, Can
    Statistiska centralbyrån, Stockholm, Sweden.
    Quantifying Measurement Errors in Partially Edited Business Survey Data2017In: 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)
  • 14.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business.
    Lundgren, Marie
    School of Business, University of Skövde, Skövde, Sweden.
    Olsson, Michael
    School of Business, University of Skövde, Skövde, Sweden.
    A model of commuting and the economic milieu: an analysis using aggregared data for Sweden2014In: 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)
  • 15.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business.
    Lundgren, Marie
    Institutionen för handel och företagande, Högskolan i Skövde, Skövde, Sweden.
    Olsson, Michael
    Institutionen för handel och företagande, Högskolan i Skövde, Skövde, Sweden.
    Commuting and the Economic Milieu: An Investigation of the Choice to Commute Related to Labor Demand, Worker Competition and Wage2015In: 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 (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.

  • 16.
    Laitila, Thomas
    et al.
    Örebro University, Swedish Business School at Örebro University.
    Olofsson, Jens
    Örebro University, Swedish Business School at Örebro University.
    A two-phase sampling scheme and pi ps designs2011In: Journal of Statistical Planning and Inference, ISSN 0378-3758, E-ISSN 1873-1171, Vol. 141, no 5, p. 1646-1654Article in journal (Refereed)
    Abstract [en]

    A two-phase approach for sampling with unequal inclusions probabilities and fixed sample size is presented. The expansion estimator using target inclusion probabilities is suggested for estimation of population parameters. As an alternative, the estimator for two-phase sampling can be used for estimation. Inclusion probabilities are shown to be asymptotically equivalent to the targeted inclusion probabilities. By means of simulation associated estimators are shown to work well with respect to bias and precision.

  • 17.
    Laitila, Thomas
    et al.
    Örebro University, Swedish Business School at Örebro University.
    Paulrud, Anton
    Anglers' valuation of water regulation dam removal for the restoration of angling conditions at Storsjö-Kapell2008In: Tourism Economics, ISSN 1354-8166, E-ISSN 2044-0375, Vol. 14, no 2, p. 283-296Article in journal (Refereed)
    Abstract [en]

    This paper presents results from a choice experiment (CE) study of anglers' valuations of the characteristics of an angling site at Storsjö-Kapell in the Swedish mountain region. In particular, the study presents value estimates of a dam removal and restoration to natural angling conditions. Values of catch, size and species are considered, as are values of bag limits. Also, value estimates are related to a trip frequency model, making it possible to predict visiting frequency under different scenarios. Thus, the model estimates provide a step towards developing dynamic fisheries management models, as the policies analysed may change the age structure of the stock. In addition to empirical results, the paper contributes a derivation of bounds on willingness to pay (WTP) based on the notion that new visitors may have smaller WTP for a change than those already selecting the site for angling

  • 18.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business. Department of Statistics.
    Paulrud, Anton
    Department for Fisheries Management, Swedish Agency for Marine and Water Management, Göteborg, Sweden.
    Waldo, Staffan
    Department of Economics, SLU, Lund, Sweden.
    Valuation of fishing rights associated with Swedish real estate2018In: Journal of Forest Economics, ISSN 1104-6899, E-ISSN 1618-1530, Vol. 30, p. 25-31Article in journal (Refereed)
    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.

  • 19.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business.
    Wallgren, A.
    Wallgren, Britt
    Quality Assessment of Administrative Data2011Conference paper (Other academic)
  • 20.
    Laitila, Thomas
    et al.
    Örebro University, Örebro University School of Business.
    Wallgren, Anders
    Wallgren, Britt
    Quality Assessment of Administrative Data2011Report (Other academic)
  • 21. Marell, Agneta
    et al.
    Garling, Tommy
    Laitila, Thomas
    Örebro University, Swedish Business School at Örebro University.
    Need vs. opportunity recognition in household car replacements2009In: International Journal of Consumer Studies, ISSN 1470-6423, E-ISSN 1470-6431, Vol. 33, no 6, p. 639-643Article in journal (Refereed)
    Abstract [en]

    It is hypothesized that an intention to replace the owned car initiated by need recognition (a decrease in perceived current quality level of the old car) or opportunity recognition (an increase in aspired quality level of the new car) will result in purchases of different new cars. A sample of 1083 car owners were interviewed over telephone every fourth month during 2.5 years. The results showed that replacement intentions were not affected by how the intention was formed but that the choice of model year of the new car was. A younger car was chosen if the aspired quality level increased faster across interview waves than the current quality level decreased, and an older car was chosen if the current quality level decreased faster than the aspired quality level increased. As a consequence, if replacement intentions are the result of opportunity recognition, rejuvenation of the car fleet will be faster than if replacement intentions are the result of need recognition.

  • 22. Mattson, Leif
    et al.
    Boman, Mattias
    Ericsson, Göran
    Paulrud, Anton
    Laitila, Thomas
    Örebro University, Swedish Business School at Örebro University.
    Kriström, Bengt
    Brännlund, Runar
    Welfare foundations for efficient management of wildlife and fish resources for recreational use in Sweden2008In: Tourism and the consumption of wildlife: hunting, shooting and sport fishing / [ed] Brent Lovelock, London: Routledge , 2008, p. 169-181Chapter in book (Other (popular science, discussion, etc.))
  • 23.
    Paulrud, Anton
    et al.
    Swedish University of Agricultural Sciences, Varberg, Sweden; Swedish Agency for Marine and Water Management, Gothenburg, Sweden .
    Laitila, Thomas
    Örebro University, Örebro University School of Business. Statistics Sweden, Örebro, Sweden.
    A cost-benefit analysis of restoring the Em River in Sweden: valuation of angling site characteristics and visitation frequency2013In: Applied Economics, ISSN 0003-6846, E-ISSN 1466-4283, Vol. 45, no 16, p. 2255-2266Article in journal (Refereed)
    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.

  • 24.
    Paulrud, Susanne
    et al.
    SP Tech Res Inst Sweden, Borås, Sweden; Swedish Environm Res Inst Ltd, Gothenburg, Sweden.
    Laitila, Thomas
    Örebro University, Swedish Business School at Örebro University.
    Farmers' attitudes about growing energy crops: a choice experiment approach2010In: Biomass and Bioenergy, ISSN 0961-9534, E-ISSN 1873-2909, Vol. 34, no 12, p. 1770-1779Article in journal (Refereed)
    Abstract [en]

    The present study adapts the choice experiment (CE) method for an analysis of how Swedish farmers assess the relative value of the characteristics associated with growing energy crops. An additional goal was to find out the willingness of farmers to grow energy crops relative to different levels of income and subsidies based on predictions of acreage of energy crop cultivation. In the first CE, farmers were presented with two energy crops and six of their characteristics and asked to choose the alternative he or she preferred most. In the second CE the respondent was asked how many hectares for each crop he/she would be willing to grow on arable land with an energy crop subsidy and how many hectares he/she would be willing to grow on set-aside land without an energy crop subsidy. The results suggest that among the included characteristics in the first experiment, the visual impact on the landscape and the rotation period of the energy crop appear to have a significant impact on the utility derived from growing an energy crop. An increased utility of a crop increases the arable land used for that crop and the income associated with it. Farm characteristics such as leased land, rented land, share of set-aside land, and type of farming had an insignificant effect on the willingness to grow energy crops. Significant characteristics were age of the farmer, size of the farm, and the geographical area. (C) 2010 Elsevier Ltd. All rights reserved.

  • 25.
    Rota, Bernardo João
    et al.
    Örebro University, Örebro University School of Business. Statistics, Department of Mathematics and Informatics, Eduardo Mondlane University, Maputo, Mozambique.
    Laitila, Thomas
    Örebro University, Örebro University School of Business.
    Calibrating on Principal Components in the Presence of Multiple Auxiliary Variables for Nonresponse Adjustment2017In: South African Statistical Journal, ISSN 0038-271X, E-ISSN 1996-8450, Vol. 51, no 1, p. 103-125Article in journal (Refereed)
  • 26.
    Rota, Bernardo João
    et al.
    Örebro University, Örebro University School of Business. Department of Mathematics and Informatics, Eduardo Mondlane University, Maputo, Mozambique.
    Laitila, Thomas
    Örebro University, Örebro University School of Business. Department of Research and Development, Statistics Sweden, Örebro/Stockholm, Sweden.
    Comparisons Of Some Weighting Methods For Nonresponse Adjustment2015In: Lithuaninan Journal of Statistics, ISSN 1392-642X, Vol. 54, no 1, p. 69-83Article in journal (Refereed)
    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.

  • 27.
    Rota, Bernardo João
    et al.
    Örebro University, Örebro University School of Business.
    Laitila, Thomas
    Örebro University, Örebro University School of Business.
    On the Use of Auxiliary Variables and Models in Estimation in Surveys with NonresponseManuscript (preprint) (Other academic)
1 - 27 of 27
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