ARTICLE
ABSTRACT
The aim of this paper to identify, by means of relevant literature survey, and then to quantify – using representative panel of individual questionnaire data and a logit model – the impact of relevant factors affecting demand for legal aid in Poland. The set of explanatory variables contains objective factors – such as income, age, education, gender, marital status, place of residence, occupational status – as well as subjective ones, such as personal attitude towards law, knowledge of law, social capital or social activity. It follows from the results obtained on a representative sample of adult Poles that the number of factors influencing the occurrence of a legal problem is large, the factors themselves being beyond the scope of direct and intentional impact of the state. Thereby, it seems reasonable to allocate the funds devoted to the funding and functioning of the reformed legal aid system in Poland on the basis of the population size criterion. In view of the relative scarcity of quantitative research into the issues raised in the paper frequentist model averaging method has been also used to confirm/reject the conclusions draw on the basis of the logit model. However, this has not altered the afore-mentioned conclusions in any significant way.
KEYWORDS
logit model, legal problems, demand for legal services, classical model averaging
REFERENCES
Akaike H., (1974), A New Look at the Statistical Model Identification, IEEE Transactions on Automatic Control, 19, 716–723.
Barendrecht J. M., de Langen M., (2008), Legal Empowerment of the Poor: Innovating Access to Justice, w: The State of Access: Success and Failure of Democracies to Create Equal Opportunities, Brookings Institution Press, Washington, 250–271.
Burdziej S., Dudkiewicz M., (2013), Korzystający i niekorzystający z poradnictwa prawnego i obywatelskiego, Instytut Spraw Publicznych, ISP, Warszawa.
Burnham K. P., Anderson D. R., (2002), Model Selection and Multimodel Inference. A Practical Information – Theoretic Approach, Second Edition, Springer-Verlag, New York.
Burnham K. P., Anderson D. R., (2004), Multimodel Inference. Understanding AIC and BIC in Model Selection, Sociological Methods and Research, 33, 261–304.
Cameron A. C., Trivedi P. K., (2009), Microeconometrics. Methods and Applications, Cambridge University Press, Cambridge.
Coumarelos C., Wei Z., Zhou A. Z., (2006), Justice Made to Measure. NSW Legal Survey in Disadvantaged Areas, Law and Justice Foundation, South Wales.
Curran L., (2007), Ensuring Justice and Enhancing Human Rights: A Report on Improving Legal Aid Service Delivery to Reach Vulnerable and Disadvantages People, La Trobe University and the Victoria Law Foundation, La Trobe.
Currie A., (2006), A National Survey of the Civil Justice Problems of Low- and Moderate-Income Canadians: Incidence and Patterns, International Journal of Legal Profession, 13 (3), 217–242.
Florczak W., (2012), O możliwości zintegrowanej weryfikacji empirycznej alternatywnych teorii na przykładzie teorii przestępczości, Ekonomista, 6/212, 735–764.
Florczak W., (2015), Ile może kosztować reforma systemu pomocy prawno-obywatelskiej w Polsce, Studia Prawno-Ekonomiczne, 95, 189–206.
Florczak W., (2017), Szacunki kosztów systemu pomocy prawno-obywatelskiej w Polsce, Wiadomości Statystyczne, 1, 7–25.
Gramatikov M., (2008), Multiple Justiciable Problems in Bulgaria, Tilburg University Legal Studies Working Paper, 16/2008.
Gruszczyński M., (2010), Modele zmiennych jakościowych dwumianowych, w: Mikroekonometria. Modele i metody analizy danych indywidualnych, Oficyna Wolters Kluwer Business, Warszawa, 53–101.
Hosmer D. W., Lemeshow S., (1980), Goodness-of-fit Tests for the Multiple Logistic Regression Model, Communications in Statistics: Theory and Methods, 9, 1043–1069.
Hunter R., De Simone T., (2009), Women, Legal Aid and Social Inclusion, Australian Journal of Social Issues, 44 (4), 379–398.
Kritzer H. M., (2008), To Lawer or Not to Lawyer: Is that the Question?, Journal of Empirical Legal Studies, 5, 875–906.
Kritzer H. M., (2009), Examining the Real Demand for Legal Services, Fordham Urban Law Journal, 37, 255–272.
Kritzer H. M., Bogart W. A., Vidmar N., (1991), Context, Context, Context: A Cross-problem, Cross-Cultural Comparison of Compensation Seeking Behaviour, Paper Prepared for Law and Society, Amsterdam.
Kurczewski J., Fuszara M., (red.), (2004), Polskie spory i sądy, Ośrodek Badań Społecznych ISNS. Uniwersytet Warszawski, Warszawa.
Lechner M., (1991), Testing Logit Models in Practice, Empirical Economics, 16, 177–198.
Legal Service Corporation, (1994), Legal Needs and Civil Justice, A survey of Americans. Major Finding, from Comprehensive Legal Needs Study, American Bar Association, Chicago, Illinois.
Marzec J., (2008), Bayesowskie modele zmiennych jakościowych i ograniczonych w badaniach niespłacalności kredytów, Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie, Kraków.
McFadden D., (1974), The Measurement of Urban Travel Demand, Journal of Public Economics, 3, 303–328.
Moorhead R., Douglas G., Doughty J., Sefton M., (2004), The Advice Needs of Lone Parents, Family Law, 34, 667–673.
Murayama M., (2007), Experiences of Problems and Disputing Behaviour in Japan, Meiji Law Journal, 14, 1–59.
Osiewlaski J., Marzec M., (2004), Uogólnienie dychotomicznego modelu probitowego z wykorzystaniem skośnego rozkładu Studenta, Przegląd Statystyczny, 51, 13–24.
Pleasence P., Balmer N., Reimers S., (2011), What Really Drives Advice Seeking Behaviour? Looking Beyond the Subject of Legal Disputes, Onati Socio-Legal Series, 1, 1–21.
Pleasence P., Buck A., Balmer N., O’Grady A., Genn H., Smith H., (2004), Causes of Action: Civil Law and Social Justice. The Final Report of the First LSRC Survey of Justiciable Problems, Legal Service Commission Working Paper.
Peisert A., Schimanek T., Waszak M., Winiarska A., (red.), (2013), Poradnictwo Prawne i Obywatelskie w Polsce, Stan obecny i wizje przyszłości, Instytut Spraw Publicznych, ISP, Warszawa.
Sączewska-Piotrowska A., (2016), Zastosowanie krzywych ROC w analizie ubóstwa miejskich i wiejskich gospodarstw domowych, Przegląd Statystyczny, 63, 211–232.
Stukel T. A., (1988), Generalized Logistic Models, Journal of American Statistical Association, 83, 426–431.
Świadek A., Wojciech M., (2015), Analiza skłonności przedsiębiorstw z wiodących regionów Polski do inwestowania w nowe środki trwałe z wykorzystaniem modelu logitowego uwzględniającego interakcje zmiennych jakościowych, Przegląd Statystyczny, 62, 117–138.
Thomas J. M., (1993), On Testing the Logitsic Assumption in Binary Dependent Variable Models, Empirical Economics, 18, 381–392.
Winczorek J., (2015), Przegląd literatury na temat dostępności i korzystania z pomocy prawnej, INPRIS, Instytut Prawa i Społeczeństwa, Warszawa.
