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: u`4G%g3=oe2qWBm|D1xX+yFr[#n]#[mP%/kVu#QVrdKYek$=nP5_%hdv[

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 2

WP(5/2024)441. How stable and predictable are welfare estimates using recreation demand models?

Autorzy: Lloyd-Smith Patrick, Zawojska Ewa
Economic analysis of environmental policy projects typically use pre-existing welfare estimates that are then transferred over time to the policy relevant periods. Understanding how stable and predictable these welfare estimates are over time is impo…

WP441. How stable and predictable are welfare estimates using recreation demand models?

Economic analysis of environmental policy projects typically use pre-existing welfare estimates that are then transferred over time to the policy relevant periods. Understanding how stable and predictable these welfare estimates are over time is important for applying these estimates in policy. Yet, revealed preference models of recreation demand have received few temporal stability assessments compared to other non-market valuation methods. We use a large administrative dataset on campground reservations covering ten years to study temporal stability and predictability of recreation demand welfare estimates of lake water quality changes. Based on single-year models, our findings suggest welfare estimates are temporally stable across years in around 50% of the comparisons. Using an event study design, we find evidence that welfare estimates are stable within a year, that is, for weeks after a change in water quality. Our findings further reveal that having two years of data for predicting welfare estimates in subsequent years improves the prediction accuracy by 22% relative to using a single year of data, but further improvements in the prediction accuracy are modest when including additional years of data. Predictions of welfare estimates are not necessarily improved when using data closer in time to the prediction year. We discuss the implications of our results for using revealed preference studies in policy analysis.


Lloyd-Smith Patrick, Zawojska Ewa
recreation demand revealed preferences temporal stability prediction accuracy water quality welfare estimates

WP(8/2022)384. On the inference about willingness to pay distribution using contingent valuation data

Autorzy: Czajkowski Mikołaj, Zawojska Ewa, Meade Norman, Seroa da Motta Ronaldo, Welsh Mike, Arigoni Ortiz Ramon
Although contingent valuation (CV) is one of the main sources of estimates of non-market values of environmental goods, little guidance exists regarding parametric approaches for modelling CV data, which would reliably estimate willingness-to-pay (WT…

WP384. On the inference about willingness to pay distribution using contingent valuation data

Although contingent valuation (CV) is one of the main sources of estimates of non-market values of environmental goods, little guidance exists regarding parametric approaches for modelling CV data, which would reliably estimate willingness-to-pay (WTP) values based on binary choice, payment card or open-ended preference elicitation data, among others. CV studies often rely on relatively simple approaches to modeling stated preference responses, without examining alternative modelling specifications. Lower-bound, non-parametric estimates seem to be preferred in legal cases, while studies that apply parametric approaches often select a specification among a limited set of commonly used distributions. To enhance the reliability of CV-based WTP estimates, we propose to adopt a more flexible approach to parametric modelling of a WTP distribution, by considering a wide range of parametric model specifications. We demonstrate the advantages of the proposed approach using databases from two large CV studies: the eutrophication reduction valuation for the Baltic Sea Action Plan and the Deepwater Horizon natural resource damage assessment. We find non-negligible differences in WTP value estimates across models with different assumed parametric distributions, and we observe the variation in the values to decrease when only better-fitting models are considered. This emphasizes the need for cautiously identifying the model best fitting to the data, instead of choosing a specification ad hoc without taking into account alternative parametric distributions. Focusing on the best-fitting parametric specifications, we provide alternative WTP value estimates for the two empirical cases studied.


Czajkowski Mikołaj, Zawojska Ewa, Meade Norman, Seroa da Motta Ronaldo, Welsh Mike, Arigoni Ortiz Ramon
contingent valuation parametric modelling stated preferences willingness to pay welfare estimates
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