Working Papers

Seria wydawnicza WNE WORKING PAPERS prowadzona jest przez WNE UW od 2008 r. i jak dotąd opublikowano w niej ponad 400 prac.

Seria WNE Working Papers służy szybkiemu upowszechnianiu wyników badań prowadzonych na Wydziale Nauk Ekonomicznych UW. Publikowane tu teksty mają charakter wersji roboczych (pre-printów): mogą być uzupełniane lub poprawiane w miarę postępu prac nad tekstem i procesu wydawniczego. Prezentujemy aktualną wersję udostępnioną przez autorów, opatrzoną datą oraz identyfikatorami DOI/ISSN – co ułatwia jej cytowanie i śledzenie kolejnych iteracji. Każdy dokument zachowuje pełne prawa autorskie swoich twórców, a w przypadku późniejszych zmian, autorzy mogą w dowolnym momencie zamieścić zaktualizowany plik lub wskazać miejsce ostatecznego wydania.

Do serii WORKING PAPERS przyjmowane są artykuły pracowników naukowych WNE UW oraz publikacje z konferencji organizowanych na WNE UW. Artykuły powinny dotyczyć ekonomii, mieć charakter oryginalnych prac badawczych, nie być wcześniej publikowane. Przyjmowane są wyłącznie teksty w języku angielskim.

Prace prosimy przesyłać e-mailem na adres: h+r3N-iYB%^lV8SL}AKy'/a~[vQ]#[`vey4vQJzrD_JSK7cJAq1oFtdg=

Prosimy przesyłać dwa pliki:

(1) główny tekst bez podania tytułu artykułu oraz autorów (plik DOC/DOCX) oraz

(2) stronę tytułową zawierającą: tytuł opracowania, autorów oraz ich afiliację (plik DOC/DOCX). 

Przed przesłaniem tekstu prosimy zapoznać się z szczegółowymi wymogami edycyjnymi.

Redaktorem wydawniczym serii Working Papers jest dr Maciej Bukowski.

Ilość wyników 3

WP(30/2016)221. Linking perceived choice complexity with scale heterogeneity in discrete choice experiments: home heating in Finland

Autorzy: Ruokamo Enni, Czajkowski Mikołaj, Hanley Nick, Juutinen Artti, Svento Rauli
Choosing a specific heating system is a complex and difficult decision for homeowners as there exists a wide array of heating technologies with different characteristics that one can consider before purchasing. We include multiple heating technologie…

WP221. Linking perceived choice complexity with scale heterogeneity in discrete choice experiments: home heating in Finland

Choosing a specific heating system is a complex and difficult decision for homeowners as there exists a wide array of heating technologies with different characteristics that one can consider before purchasing. We include multiple heating technologies and attributes in our Choice Experiment design and explore the effect of perceived choice complexity on the randomness of choices. In particular, we investigate how different self-evaluated factors of choice complexity affect mean scale and scale variance. Our findings suggest that perceived choice complexity has a systematic impact on the parameters of econometric models of choice. However, there are differences between alternative self-evaluated complexity-related covariates. Results indicate that individuals who report that answering the choice tasks was difficult have less deterministic choices. Perceptions of the realism of home heating choice options also affect scale and scale variance.


Ruokamo Enni, Czajkowski Mikołaj, Hanley Nick, Juutinen Artti, Svento Rauli
Home heating Choice experiment Choice modelling Scale heterogeneity Generalized mixed logit Complexity

WP(10/2012)76. More random or more deterministic choices? The effects of information on preferences for biodiversity conservation

Autorzy: Czajkowski Mikołaj, Hanley Nick
For many years, stated preference researchers have been interested in the effects of information on willingness to pay for environmental goods. Within the random utility model, information about an environmental good might impact on preferences and o…

WP76. More random or more deterministic choices? The effects of information on preferences for biodiversity conservation

For many years, stated preference researchers have been interested in the effects of information on willingness to pay for environmental goods. Within the random utility model, information about an environmental good might impact on preferences and on scale (error variance), both between and within samples of choices. In this paper, we extend the G-MNL model to investigate the effects of different information sets on choices over the management of biodiversity in the UK, looking specifically at moorlands managed for red grouse shooting. Specifically, we make the individual scale parameter a function of observable (dataset-specific) characteristics. Our results show that changing information sets results in significant differences in the mean scale between datasets, and in the variance of scale. Respondents are more deterministic in their choices and show lower within-sample scale heterogeneity in the alternative information treatment. Changes in information provision also effect willingness to pay estimates, reducing the value people place on the conservation of two iconic birds of prey. The methods used will also be of interest to researchers who need to combine choice experiment data sets.


Czajkowski Mikołaj, Hanley Nick
choice modelling information effects scale scale heterogeneity G-MNL heather moorland management raptor conservation combined SP-RP

WP(8/2012)74. Learning and Fatigue Effects Revisited. The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete Choice Experiments

Autorzy: Czajkowski Mikołaj, Giergiczny Marek, Greene William H.
Using multiple choice tasks per respondent in discrete choice experiment studies increase the amount of available information. However, treating repeated choice data in the same way as cross-sectional data may lead to biased estimates. In particular,…

WP74. Learning and Fatigue Effects Revisited. The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete Choice Experiments

Using multiple choice tasks per respondent in discrete choice experiment studies increase the amount of available information. However, treating repeated choice data in the same way as cross-sectional data may lead to biased estimates. In particular, respondents' learning and fatigue may lead to changes in observed utility function preference (taste) parameters, as well as its error term variance (scale). Substantial body of empirical research offers mixed evidence in terms of whether (and which) of these ordering effects are observed. In this study we point to a significant component in explaining these differences - we show how accounting for unobservable preference and scale heterogeneity can influence the magnitude of observed ordering effects, especially if combined with too few choice tasks used for the analysis. We do this by utilizing the state-of-the-art modeling methods (H-MNL, S-MNL, H-RPL, G-MNL) which we modify to accommodate choice task specific scale parameter. In addition, we investigate possible bias resulting from not accounting for ordering effects. Our empirical study was based in the context of environmental protection - management changes in the protection of Polish forests.


Czajkowski Mikołaj, Giergiczny Marek, Greene William H.
ordering effects learning fatigue preference and scale heterogeneity forest management recreation biodiversity
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