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Dynamiczne modele panelowe w badaniach ekonomicznych

dc.contributor.authorDańska-Borsiak, Barbara
dc.date.accessioned2021-06-09T06:56:15Z
dc.date.available2021-06-09T06:56:15Z
dc.date.issued2011
dc.identifier.citationDańska-Borsiak B., Dynamiczne modele panelowe w badaniach ekonomicznych, Wydawnictwo Uniwersytetu Łódzkiego, Łódź 2011, DOI: 10.18778/7525-549-2pl_PL
dc.identifier.isbn978-83-7525-549-2
dc.identifier.urihttp://hdl.handle.net/11089/36121
dc.descriptionDr Dańska-Borsiak wytycza sobie w pracy ambitny cel badawczy sporządzenia monografii dynamicznej analizy panelowej i jej zastosowań w badaniach ekonomicznych, w tym w szczególności: (i) przedstawienia roli danych panelowych w modelowaniu ekonometrycznym oraz różnic w modelowaniu na podstawie statycznych i dynamicznych modeli panelowych, (ii) (...) przeglądu metod estymacji oraz dyskusji ich własności, (iii) przedstawienia zastosowań analizy panelowej w różnych obszarach badawczych (...). Z recenzji wydawniczej prof. UG dr. hab. Pawła Miłobędzkiegopl_PL
dc.description.sponsorshipUdostępnienie publikacji Wydawnictwa Uniwersytetu Łódzkiego finansowane w ramach projektu „Doskonałość naukowa kluczem do doskonałości kształcenia”. Projekt realizowany jest ze środków Europejskiego Funduszu Społecznego w ramach Programu Operacyjnego Wiedza Edukacja Rozwój; nr umowy: POWER.03.05.00-00-Z092/17-00. Praca naukowa jako projekt badawczy MNiSW nr N111093833 finansowana ze środków na naukę w latach 2007–2009.pl_PL
dc.language.isoplpl_PL
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl_PL
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Międzynarodowe*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Międzynarodowe*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectmodele panelowepl_PL
dc.subjectmodelowanie ekonometrycznepl_PL
dc.subjectdane panelowepl_PL
dc.subjectmetody estymacjipl_PL
dc.subjectestymatorpl_PL
dc.subjectmodelpl_PL
dc.subjecttestpl_PL
dc.titleDynamiczne modele panelowe w badaniach ekonomicznychpl_PL
dc.typeBookpl_PL
dc.page.number256pl_PL
dc.contributor.authorAffiliationUniwersytet Łódzkipl_PL
dc.referencesAbramovitz M. [1986], Catching up, forging ahead, and falling behind, „The Journal of Economic History”, Vol. 46, No. 2, s. 385–406pl_PL
dc.referencesAcemoglu D., Johnson S., Robinson J. A., Yared P. [2005], From education to democracy, „American Economic Review”, Vol. 95, s. 44–49pl_PL
dc.referencesAcharya R. C., Kell e r W. [2007], Technology Transfer through Imports, „NBER Working Paper”, No. 13086pl_PL
dc.referencesAghion P., Blundell R., Griffith R., Howitt P., Prantl S. [2004], Entry and productivity growth: evidence from microlevel panel data, „Journal of the European Economic Association”, Vol. 2, No. 2–3, s. 265–276pl_PL
dc.referencesAhn S. C., Schmidt P. [1995], Efficient estimation of models for dynamic panel data, „Journal of Econometrics”, Vol. 68, s. 5–28pl_PL
dc.referencesAllison P. [2000], Inferring casual order from panel data, paper presented at the Ninth International Conference on Panel Data, June 22–23, 2000, Geneva, Switzerlandpl_PL
dc.referencesAlonzo-Borrego C., Arellano M. [1999], Symmetrically normalized instrumentalvariable estimation using panel data, „Journal of Business and Economic Statistics”, Vol. 17, s. 36–49pl_PL
dc.referencesAlvarez J., Arellano M. [2003], The time series and cross-section asymptotics of dynamic panel data estimators, „Econometrica”, Vol. 71, s. 1121–1159pl_PL
dc.referencesAmemiya T. [1971], The estimation of the variances in a variance-components model, „International Economic Review”, Vol. 12, s. 1–13pl_PL
dc.referencesAnderson T. W., Hsiao C. [1981], Estimation of Dynamic models with Error Components, „Journal of the American Statistical Association”, Vol. 76, s. 598–606pl_PL
dc.referencesAnderson T. W., Hsiao C. [1982], Formulation and Estimation of Dynamic Models Using Panel Data, „Journal of Econometrics”, Vol. 18, s. 47–82pl_PL
dc.referencesAndini C. [2009], How fast do wages adjust to human-capital productivity? Dynamic panel – data evidence from Belgium, Denmark and Finland, „IZA Discussion Paper”, No. 4583pl_PL
dc.referencesAndrews D. W. [1987], Asymptotic results for generalized Wald tests, „Econometric Theory”, Vol. 3, No. 3, s. 348–358pl_PL
dc.referencesAnselin L., Le Gallo J., Jayet H. [2008], Spatial panel econometrics, [w:] L. Matyas, P. Sevestre (eds.), The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice, 3rd Ed., Springer, New York, Chapter 19pl_PL
dc.referencesArellano M. [1989], A note on the Anderson–Hsiao estimator for panel data, „Economics Letters”, Vol. 31, s. 337–341pl_PL
dc.referencesArellano M. [1990], Some testing for autocorrelation in dynamic random effects model, „Review of Economic Studies”, Vol. 57, s. 127–134pl_PL
dc.referencesArellano M. [2003], Panel Data Econometrics, Oxford University Press, Oxfordpl_PL
dc.referencesArellano M., Bond S. [1991], Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations, „Review of Economic Studies”, Vol. 58, s. 277–297pl_PL
dc.referencesArellano M., Bover O. [1995], Another look at the instrumental variable estimation of error – components models, „Journal of Econometrics”, Vol. 68, s. 29–52pl_PL
dc.referencesArellano M., Honoré B. [2001], Panel data models: some recent developments, [w:] J. Heckman, E. Leamer (eds.), Handbook of Econometrics, Vol. 5, Chapter 53, North-Holland, Amsterdampl_PL
dc.referencesArizala F., Cavallo E., Galindo A. [2009], Financial development and TFP growth: cross-country and industry-level evidence, „Inter-American Development Bank Research Department Working Paper”, #682 RG-K1097pl_PL
dc.referencesAscari G., Di Cosmo V. [2004], Determinants of Total Factor Productivity in the Italian Regions, „University of Pavia, Department of Economics, Working Paper”, #170 (12-04), http://129.3.20.41/eps/mac/papers/0511/0511009.pdf 8.03.2009pl_PL
dc.referencesAvery R. [1977], Error components and seemingly unrelated regressions, „Econometrica”, Vol. 45, s. 199–209pl_PL
dc.referencesBai J., Ng S. [2004], A PANIC attack on unit roots and cointegration, „Econometrica”, Vol. 72, s. 1127–1177pl_PL
dc.referencesBal-Domańska B. [2008], Rozwój regionalny a kapitał ludzki – analiza ekonometryczna z wykorzystaniem modeli dla danych panelowych, [w:] Metody ilościowe w ekonomii, S. Forlicz (red.), Wydawnictwo Wyższej Szkoły Bankowej w Poznaniu, Poznań, s. 192–208pl_PL
dc.referencesBal-Domańska B. [2009], Wpływ gospodarki opartej na wiedzy na rozwój regionalny, „Wiadomości Statystyczne”, vol. 54, nr 6, s. 84–98pl_PL
dc.referencesBalestra P., Nerlove M. [1966], Pooling Cross Section and Time Series Data in the Estimation of a Dynamic Model: The Demand for natural Gas, „Econometrica”, Vol. 34, s. 585–612pl_PL
dc.referencesBaltagi B. H. [1980], On seemingly unrelated regressions with error components, „Econometrica”, Vol. 48, s. 1547–1551pl_PL
dc.referencesBaltagi B. H. [1981], Simultaneous equations with error components, „Journal of Econometrics”, Vol. 17, s. 189–200pl_PL
dc.referencesBaltagi B. H. [2008], Econometric Analysis of Panel Data, 4th Ed., Wiley&Sons, Chichesterpl_PL
dc.referencesBaltagi B. H., Griffin J. M. [1983], Gasoline demand in the OECD: An application of pooling and testing procedures, „European Economic Review”, Vol. 22, s. 117–137pl_PL
dc.referencesBaltagi B. H., Griffin J. M. [1984], Short and long run effects in pooled models, „International Economic Review”, Vol. 25, s. 631–645pl_PL
dc.referencesBaltagi B. H., Griffin J. M. [1997], Pooled estimators vs. their heterogenous counterpartsin the context of dynamic demand for gasoline, „Journal of Econometrics”, Vol. 77, s. 303–327pl_PL
dc.referencesBaltagi B. H., Kao C. [2000], Nonstationary panels, cointegration in panels and dynamic panels: a survey, „Advances in Econometrics”, Vol. 15, s. 7–51pl_PL
dc.referencesBaltagi B. H., Bresson G., Griffin J. M., Pirotte A. [2003], Homogenous, heterogenous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption, „Empirical Economics”, Vol. 28, s. 795–811pl_PL
dc.referencesBaltagi B. H., Griffin J. M., Rich D. P. [1995], The measurement of firm-specific indexes of technical change, „The Review of Economics and Statistics”, Vol. 77, No. 4, s. 654–663pl_PL
dc.referencesBarro R. J. [1997], Makroekonomia, PWE, Warszawapl_PL
dc.referencesBarro R. J. [1990], Government spending in a simple model of endogenous growth, „Journal of Political Economy”, Vol. 98, s. 103–125pl_PL
dc.referencesBarro R. J. [1991], Economic growth in cross-section of countries, „Quarterly Journal of Economics”, Vol. 106, s. 407–443pl_PL
dc.referencesBarro R. J., Sala-i-Martin X. [1992], Convergence, „Journal of Political Economy”, Vol. 100, s. 223–251pl_PL
dc.referencesBarro R. J., Sala-i-Martin X. [2003], Economic Growth, MIT Press, Cambridge (MA)pl_PL
dc.referencesBartkowiak R. [2003], Historia myśli ekonomicznej, PWE, Warszawapl_PL
dc.referencesBassanini A., Scarpetta S., Hemmings P. [2001], Economic growth: The role of policies and institutions. Panel data evidence from OECD countries, „OECD Economic Department Working Papers”, No. 283pl_PL
dc.referencesBaumol W. J. [1986], Productivity growth, convergence and welfare: what the long-run data show, „American Economic Review”, Vol. 76, s. 1072–1085pl_PL
dc.referencesBeck N., Katz L. N. [1995], What to Do (and Not to Do) with Time-Series-Cross-Section Data, „American Political Science Review”, Vol. 89, s. 634–647pl_PL
dc.referencesBeck N., Katz L. N. [1996], Nuisance vs. Substance: Specifying and Estimating Time-Series-Cross-Section Models, „Political Analysis”, Vol. 6, s. 1–34pl_PL
dc.referencesBekker P. A. [1994], Alternative approximations to the distributions of instrumental variable estimators, „Econometrica”, Vol. 62, s. 657–681pl_PL
dc.referencesBenito A., HernandoI. [2007], Firm behaviour and financial pressure: evidence from Spanish panel data, „Bulletin of Economic Research”, Vol. 59, No. 4, s. 283–311pl_PL
dc.referencesBernanke B. S., Gurkayna k R. S. [2001], Is growth exogenous? Taking Mankiw, Romer, and weil seriously, „Working Papers”, No. 8365, www.nber.org/papers/w8365pl_PL
dc.referencesBhargava A., Sargan J. D. [1983], Estimating dynamic random effects models from panel data covering short time periods, „Econometrica”, Vol. 51, s. 1635–1659pl_PL
dc.referencesBinder M., Hsiao C., Pesaran M. H. [2005], Estimation and inference in short panel vector autoregressions with unit roots and cointegration, „Econometric Theory”, Vol. 21, s. 795–837pl_PL
dc.referencesBloom N., Schankerman M., Van Reenen J. [2005], Identifying technology spillovers and product market rivalry, „LSE STICERD Research Paper”, No. EI40pl_PL
dc.referencesBlundell R., Bond S. [1998], Initial conditions and moment restrictions in dynamic panel data models, „Journal of Econometrics”, Vol. 87, No. 1, s. 115–143pl_PL
dc.referencesBlundell R., Bond S. [2000], GMM estimation with persistent panel data: An application to production functions, „Econometric Reviews”, Vol. 19, s. 321–340pl_PL
dc.referencesBlundell R., Smith R. [1991], Initial conditions and efficient estimation in dynamic panel data models: An application to company investment behaviour, „Annales d’Economie et de Statistique”, Vol. 21, No. 20, s. 109–123pl_PL
dc.referencesBlundell R., Bond S., Windmeijer F. [2000], Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator, „Advances in Econometrics”, Vol. 15, s. 53–91pl_PL
dc.referencesBo H. [2007], Nonlinear effects of debt on investment: evidence from Dutch listed firms, „European Journal of Finance”, Vol. 13, s. 669–687pl_PL
dc.referencesBobba M., Coviello D. [2007], Weak instruments and weak identification in estimating the effects of education on democracy, „Economic Letters”, Vol. 96, s. 301–306pl_PL
dc.referencesBond S. [2002], Dynamic panel data models: A guide to micro data methods and practice, Centre for Microdata and Practice (CEMMAP), „Working Paper” CWP09/02pl_PL
dc.referencesBond S., Windmeijer F. [2005], Reliable inference for GMM estimators? Finite sample properties of alternative test procedures in linear panel data models, „Econometric Reviews”, Vol. 24, No. 1, s. 1–37pl_PL
dc.referencesBond S., Hoeffler A., Temple J. [2001], GMM estimation of empirical growth models, „CEPR Discussion Paper” 3048, Centre for Economic Policy Research, Londonpl_PL
dc.referencesBond S., Elton J., Mairesse J., Mulkay B. [1997], Financial factor and inwestment in Belgium, France, Germany and the UK: A comparison using company panel data, „NBER Working Paper”, No. 5900pl_PL
dc.referencesBover O., Bentolila S., Arellano M. [2001], The distribution of earnings in Spain during the 1980s: The effects of skill, unemployment, and union power, „CEPR Discussion Paper”, No. 2770pl_PL
dc.referencesBowsher C. [2002], On testing overidentifying restrictions in dynamic panel data models, „Economic Letters”, Vol. 77, s. 211–220pl_PL
dc.referencesBreitung J. [2000], The local power of some unit root tests for panel data, [w:] B. H. Baltagi (ed.), Nonstationary Panels, Panel Cointegration, and Dynamic Panels, „Advances in Econometrics”, Vol. 15, (Elsevier Science), s. 161–178pl_PL
dc.referencesBreitung J., Mayer W. [1994], Testing for unit roots using panel data: are wages on different bargaining levels cointegrated?, „Applied Economics”, Vol. 26, s. 353–361pl_PL
dc.referencesBreitung J., Pesaran M. H. [2008], Unit roots and cointegration in panels, [w:] L. Matyas, P. Sevestre (eds.), The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice, 3rd Ed., Springer, New York, Chapter 8pl_PL
dc.referencesBreusch T. S., Pagan A. R. [1980], The Lagrange Multiplier Test and its Applicarions to Model Specification in Econometrics, „Review of Economic Studies”, Vol. 47, s. 239–253pl_PL
dc.referencesBreusch T. S., Mizon G. E., Schmidt P. [1989], Efficient estimation using panel data, „Econometrica”, Vol. 57, s. 695–700pl_PL
dc.referencesBrown J. R., Fazzari S. M., Petersen B. C. [2009], Financing Innovation and Growth: Cash Flow, External Equity and the 1990s R&D Boom, „Journal of Finance”, Vol. 64, s. 151–185pl_PL
dc.referencesBun M., Carree M. [2006], Bias-corrected estimation in dynamic panel data models with heteroscedasticity, „Economics Letters”, Vol. 92, No. 2, s. 220–227pl_PL
dc.referencesByrne J., Fazio G., Piacentino D. [2005], Convergence in TFP among Italian Regions: Panel Unit Roots with Heterogeneity and Cross Sectional Dependence, „ERSA Conference Papers Eersa” 05p591, (European Regional Science Association)pl_PL
dc.referencesCameron G. [2006], Openness, R&D, and growth at the industry level, [w:] Perspectives on Economic Growth, L. A. Finley (ed.), Nova Publishers, Hauppauge (NY), Chapter 5, s. 137–158pl_PL
dc.referencesCaselli F., Esquivel G., Lefort F. [1996], Reopening the convergence debate: A new look at cross-country growth empirics, „Journal of Economic Growth”, Vol. 1, s. 363–389pl_PL
dc.referencesCasu B., Girardone C. [2007], Does competition lead to efficiency? The case of EU commercial banks, „University of Essex Discussion Paper”, No. 07-01pl_PL
dc.referencesChamberlain G. [1982], Multivaraiate regression models for panel data, „Journal of Econometrics”, Vol. 18, s. 5–46pl_PL
dc.referencesChamberlain G. [1984], Panel data, [rozdz. 22], [w:] Z. Grilliches, M. Intrilligator (eds.), Handbook of Econometrics, North-Holland, Amsterdampl_PL
dc.referencesChamberlain G., Grilliches Z. [1975], Unobservables with a variance-components structure: ability, schooling and the economic success of brothers, „International Economic Review”, Vol. 6, s. 422–450pl_PL
dc.referencesChang Y. [2002], Nonlinear IV unit root tests in panels with cross-sectional dependency, „Journal of Econometrics”, Vol. 110, s. 261–292pl_PL
dc.referencesChang Y. [2004], Bootstrap unit root tests in panels with cross-sectional dependency, „Journal of Econometrics”, Vol. 120, s. 263–293pl_PL
dc.referencesChoi I. [2001], Unit root tests for panel data, „Journal of International Money and Finance”, Vol. 20, s. 249–272pl_PL
dc.referencesChojnicki Z., Czyż T. [2004], Główne aspekty regionalnego rozwoju społeczno-gospodarczego, [w:] J. J. Parysek (red.), Rozwój regionalny i lokalny w Polsce w latach 1989–2002, Bogucki Wydawnictwo Naukowe, Poznań, s. 13–24pl_PL
dc.referencesCiecieląg J., Tomaszewski A. [2003], Ekonometryczna analiza danych panelowych, WNE UW, Warszawapl_PL
dc.referencesCiołek D. [2004], Szacowanie regresji wzrostu i konwergencji dla danych panelowych. Metody ilościowe w naukach ekonomicznych, t. 4, (red. A. Welfe), SGH, Oficyna Wydawnicza, Warszawapl_PL
dc.referencesCiołek D., Golejewska A. [2005], Wpływ bezpośrednich inwestycji zagranicznych na polski przemysł przetwórczy w oparciu o dane panelowe z lat 1993–2002. Dynamiczne Modele Ekonometryczne, Wydawnictwo Uniwersytetu Mikołaja Kopernika, Toruńpl_PL
dc.referencesCoe D., Helpman E. [1995], International R&D Spillovers, „European Economic Review”, Vol. 39, s. 859–887.pl_PL
dc.referencesCoviello D., Islam R. [2006], Does aid help improve economic institutions?, „World Bank Policy Research Working Paper”, No. 3990pl_PL
dc.referencesCriscuolo C. [2003], Does ownership structure affect productivity? Evidence from the UK, University College London, mimeopl_PL
dc.referencesDahl C. M., Kongsted H. C., Sorensen A. [2010], ICT and Productivity Growth in the 1990's: Panel Data Evidence on Europe, „CREATES Research Papers”, No. 2010–47, s. 1–36pl_PL
dc.referencesDańska B. [2000], Przestrzenno-czasowe modelowanie zmian w działalności produkcyjnej w Polsce. Zastosowanie modeli panelowych, t. I, [w:] Dane panelowe i modelowanie wielowymiarowe w badaniach ekonomicznych, B. Suchecki (red.), Absolwent, Łódźpl_PL
dc.referencesDańska-Borsiak B. [2008], Wzrost gospodarczy województw. Analiza na podstawie panelowego modelu dynamicznego, referat przedstawiony na konferencji: „Modele i prognozy w ekonomii i finansach”, Olsztyn–Łańskpl_PL
dc.referencesDańska-Borsiak B. [2009a], Analiza wzrostu gospodarczego województw, „Wiadomości Statystyczne”, nr 1, s. 50–59pl_PL
dc.referencesDańska-Borsiak B. [2009b], Determinanty TFP według działów przemysłu w Polsce. Dynamiczna analiza panelowa, „Acta Universitatis Nicolai Copernici”, Ekonomia XXXIX, Wydawnictwo Naukowe UMK, Toruń, s. 115–124pl_PL
dc.referencesDańska-Borsiak B. [2009c], Zastosowania panelowych modeli dynamicznych w badaniach mikroekonomicznych i makroekonomicznych, „Przegląd Statystyczny”, nr 56, s. 25–41pl_PL
dc.referencesDavid Simmonds Consultancy [2001], Appendix C: Longitudinal data in transport research, [w:] A new look at multi-modal modeling: modeling possibilities report, s. 79–108 http://www.davidsimmonds.com/index.php?action=download_resource&id=13&module=resourcesmodule&src..., 10.02.2009pl_PL
dc.referencesDe la Fuente A. [2000], Convergence cross countries and regions: theory and empirics, „CEPR Discussion Paper”, No. 2465, Centre for Economic Policy Research, Londonpl_PL
dc.referencesDe la Fuente A., Doménech R. [2000], Human capital in growth regressions: how much difference does data quality make?, „OECD Economics Department Working Papers”, No. 262pl_PL
dc.referencesDeaton A. [1985], Panel data from time series of cross-sections, „Journal of Econometrics”, Vol. 30, s. 109–26pl_PL
dc.referencesDi Liberto A., Mura R., Pigliaru F. [2004], How to measure the unobservable: A panel technique for the analysis of TFP convergence, „CRENOS Working Papers”, Maypl_PL
dc.referencesDrobetz W., Wanzenried G. [2006], What determines the speed of adjustment to the target capital structure?, „Applied Financial Economics”, Vol. 16, s. 941–958pl_PL
dc.referencesEgger P., Pfaffermayr M. [2004], Estimating long run and short run effects in static panel models, „Econometric Reviews”, Vol. 23, s. 199–214pl_PL
dc.referencesEngle R. F., Granger C. [1987], Co-integration and error correction: representation, estimation and testing, „Econometrica”, Vol. 55, s. 251–276.pl_PL
dc.referencesEveraert G., Pozzi L. [2007], Bootstrap-based bias correction for dynamic panels, „Journal of Economic Dynamics and Control”, Vol. 31, No. 4, s. 1160–1184pl_PL
dc.referencesFlorczak W. [2007], Kapitał ludzki a rozwój gospodarczy, [w:] W. Welfe (red.), Gospodarka oparta na wiedzy, PWE, Warszawa, rozdz. 5, s. 112–172pl_PL
dc.referencesFreeman R. B., Medoff J. L. [1981], The impact of collective bargaining: illusion or reality, Harvard University, mimeopl_PL
dc.referencesFrees E. W. [2005], Longitudinal and Panel Data Analysis and Applications in the Social Science, Cambridge University Press, Cambridgepl_PL
dc.referencesFujiki H., Hsiao C., Shen Y. [2002], Is there a stable money demand function under the low interest rate policy? – A Panel Data Analysis, „Monetary and Economic Studies”, Vol. 20, No. 2, s. 1–23pl_PL
dc.referencesGajewski P. [2006], Nowe koncepcje konwergencji, [w:] S. Krajewski, P. Kaczorowski (red.), Wzrost gospodarczy, restrukturyzacja i bezrobocie w Polsce. Ujęcie teoretyczne i empiryczne, Wydawnictwo Uniwersytetu Łódzkiego, Łódźpl_PL
dc.referencesGengenbach C., Palm F. C., Urban J. P. [2010], Panel Unit Root Tests in the Presence of Cross-Sectional Dependencies: Comparison and Implications for Modelling, „Econometric Reviews”, Vol. 29, No. 2, s. 111–145pl_PL
dc.referencesGlaeser E. L. [2004], Do institutions cause, growth?, „Journal of Economic Growth”, Vol. 9, s. 271–303pl_PL
dc.referencesGorg H., Strobl E. [2005], Spillovers from foreign firms through worker mobility: An empirical investigation, „Scandinavian Journal of Economics”, Vol. 107, No. 4, (Blackwell Publishing), s. 693–709pl_PL
dc.referencesGriffith R., Redding S., Van Reen J. [2003], R&D and absorptive capacity: theory and empirical evidence, „Scandinavian Journal of Economics”, Vol. 105, s. 99–118pl_PL
dc.referencesGuellec D., Pottelsberghe de la Potterie B. van [2001], R&D and productivity growth: panel data analysis of 16 OECD countries, „OECD Economic Studies”, Vol. 33, March, s. 103–126pl_PL
dc.referencesGuest P. M. [2009], The impact of mergers and acquisitions on executive pay in the United Kingdom, „Economica”, Vol. 76, s. 149–175pl_PL
dc.referencesHadri K. [2000], Testing for unit roots in heterogeneous panel data, „Econometrics Journal”, Vol. 3, s. 148–161pl_PL
dc.referencesHahn J. [1999], How informative is the initial condition in the dynamic panel model with fixed effects? „Journal of Econometrics”, Vol. 93, s. 309–326pl_PL
dc.referencesHalaby C. [2004], Panel models in sociological research: theory into practice, „Annual Review of Sociology”, Vol. 30, s. 507–544pl_PL
dc.referencesHall A. R. [2005], Generalized Method of Moments, Oxford University Press, Oxfordpl_PL
dc.referencesHalpern L., Murakozy B. [2005], Does Distance Matter in Spillover?, „CEPR Discussion Papers”, No. 4857pl_PL
dc.referencesHansen L. P. [1982], Large sample properties of Generalized Method of Moments estimators, „Econometrica”, Vol. 50, s. 1029–1054pl_PL
dc.referencesHansen L. P., Heaton J., Yaron A. [1996], Finite sample properties of some alternative GMM estimators, „Journal of Business and Economic Statistics”, Vol. 14, s. 262–280pl_PL
dc.referencesHarris M., Matyas L. [2004], A comparative analysis of different IV and GMM estimators of dynamic panel data models, „International Statistical Review”, Vol. 72, No. 3, s. 397–408pl_PL
dc.referencesHausman J. A. [1978], Specification tests in Econometrics, „Econometrica”, Vol. 46, s. 1251–1272pl_PL
dc.referencesHausman J. A., Taylor W. E. [1981], Panel data and unobservable individual effects, „Econometrica”, Vol. 49, s. 1377–1398.pl_PL
dc.referencesHeckman J. [1978], Simple statistical models for discrete panel data developed and applied to test the hypothesis of true state dependence against the hypothesis of spurious state dependence, „Colloque International du CNRS”, s. 227–269pl_PL
dc.referencesHildreth C. [1950], Combining cross-section data and time-series, „Cowles Comission Discussion Paper”, May 15, No. 347, [za:] Nerlove M. [2000], An essay on the history of panel data econometrics, paper presented at the Ninth International Conference on Panel Data, June 22–23, 2000, Geneve, Switzerland, mimeopl_PL
dc.referencesHigon D. A. [2007], The impact of R&D spillovers on UK manufacturing TFP: A Dynamic Panel Approach, „Research Policy”, Vol. 36, No. 7, s. 964–979pl_PL
dc.referencesHoch I. [1962], Estimation of production function parameters combining time-series and cross-section data, „Econometrica”, Vol. 30, s. 35–53pl_PL
dc.referencesHolz-Eakin D., Newey W., Rosen H. S. [1988], Estimating vector autoregressions with panel data, „Econometrica”, Vol. 56, s. 1371–1395pl_PL
dc.referencesHsiao C. [2003], Analysis of Panel Data, 2nd Ed., Cambridge University Press, Cambridgepl_PL
dc.referencesHsiao C., Pesaran M. H. [2008], Random coefficient panel data models, [w:] L. Matyas, P. Sevestre (eds.), The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice, 3rd Ed., Springer, New York, Chapter 6pl_PL
dc.referencesHsiao C., Pesaran M. H., Tahmiscioglu A. [1999], Bayes estimation of short-run coefficients in dynamic panel data models, [w:] Analysis of Panels and Limited Dependent Variables Models, C. Hsiao, K. Lahiri, L. F. Lee, M. H. Pesaran (eds.), Cambridge University Press, Cambridge, s. 268–296pl_PL
dc.referencesHsiao C., Pesaran M. H., Tahmiscioglu A. [2002], Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods, „Journal of Econometrics”, Vol. 109, s. 107–150pl_PL
dc.referencesI m K. S., Pesaran M. H., Shin Y. [2003], Testing for unit roots in heterogeneous panels, „Journal of Econometrics”, Vol. 115, s. 53–74pl_PL
dc.referencesIslam N. [1995], Growth empirics: A Panel Data Approach, „Quarterly Journal of Economics”, Vol. 110, No. 4, s. 1127–1170pl_PL
dc.referencesJang S. J., Thornberry T. P. [1998], Self-esteem, delinquent peers, and delinquency: A Test of Self-enhancement Thesis, „American Sociological Review”, Vol. 63, s. 586–598pl_PL
dc.referencesJudson R., Owen A. [1996], Estimating dynamic panel data models: A guide for macroeconomists, „Economic Letters”, Vol. 65, s. 9–15pl_PL
dc.referencesJuszczak-Szumacher G. [1996], Makroekonomiczna analiza procesu produkcyjnego, Wydawnictwo Uniwersytetu Łódzkiego, Łódźpl_PL
dc.referencesJuszczak-Szumacher G. [2000], Pomiar wielkości nieobserwowalnych przez analizę regresji. Postęp techniczny i efektywność postępu produkcyjnego, [w:] A. Welfe (red.), Gospodarka polska w okresie transformacji, PWE, Warszawa, rozdz. 6pl_PL
dc.referencesKao C. [1999], Spurious regression and residual-based tests for cointegration in panel data, „Journal of Econometrics”, Vol. 90, s. 1–44pl_PL
dc.referencesKeane M., Runkle D. [1992], On the estimation of panel data models with serial correlation when instruments are not strictly exogenous, „Journal of Business and Economic Statistics”, Vol. 10, s. 1–9pl_PL
dc.referencesKiviet J. F. [1995], On bias, inconsistency, and efficiency of various estimators in dynamic panel data models, „Journal of Econometrics”, Vol. 68, s. 53–78pl_PL
dc.referencesKniesner T., Li Q. [2002], Semiparametric panel data models with heterogenous dynamic adjustment: theoretical consideration and an application to labor supply, „Empirical Economics”,Vol. 27, s. 131–148pl_PL
dc.referencesKoop G., Osiewalski J., Steel M. F. J. [2000], Modeling the sources of output growth in a panel of countries, „Journal of Business and Economic Studies”, Vol. 18, No. 3, s. 284–299pl_PL
dc.referencesKorol J. [2009], Ekonometryczne modelowanie wzrostu gospodarczego regionów opartego na wiedzy, [w:] Taksonomia nr. 16, Klasyfikacja i analiza danych – teoria i zastosowania, „Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu”, nr 47, s. 173–180pl_PL
dc.referencesKuch E. [1959], The validity of cross-sectionally estimated behavior equations in time – series applications, „Econometrica”, Vol. 27, s. 197–214pl_PL
dc.referencesLachenmaier S., Rottmann H. [2007], Effects of innovation on employment: A dynamic panel analysis, „CESIFO Working Paper”, No. 2015pl_PL
dc.referencesLahiri K., Liu F. [2006], Modelling multi – period inflation ucertainty using a panel of density forecasts, „Journal of Applied Econometrics”, Vol. 21, s. 1111–1326pl_PL
dc.referencesLee J. [2009], Trade, FDI, and productivity convergence: A Dynamic Panel Data Approach in 25 Countries, „Japan and the World Economy”, Vol. 21, s. 226–238pl_PL
dc.referencesLee J. [2002], Panel Data Econometrics. Methods-of-Moments and Limited Dependent Variables, An Elsevier Sciene Imprint, San Diego–San Francisco–New Yorkpl_PL
dc.referencesLevin A., Lin C. F. [1992], Unit root test in panel data: asymptotic and finite-sample properties, „Discussion Paper”, No. 92–93, Department of Economics, University of California at San Diego, San Diegopl_PL
dc.referencesLevin A., Lin C. F., Chu C. [2002], Unit root test in panel data: asymptotic and finite sample properties, „Journal of Econometrics”, Vol. 108, s. 1–24pl_PL
dc.referencesLoshkin B., Belderbos R., Carree M. [2008], The productivity effects of internal and external R&D: evidence from a dynamic panel data model, „Oxford Bulletin of Economics and Statistics”, Vol. 70 , No. 3, s. 399–413pl_PL
dc.referencesLucas R. [1988], On the mechanism of Economic development, „Journal of Monetary Economics”, Vol. 22, s. 3–42pl_PL
dc.referencesLucas R. [1990], Why doesn’t capital flow from rich to poor countries, „Americal Economic Review”, Vol. 80, s. 92–96pl_PL
dc.referencesMaCurdy T. E. [1981], An Empirical Model of Labour Supply in a Life Cycle Setting, „Journal of Political Economy”, Vol. 89, s. 1059–1085pl_PL
dc.referencesMaddala G. S. [1971], The use of the variance components in pooling cross section and time series data, „Econometrica”, Vol. 39, s. 341–358pl_PL
dc.referencesMaddala G. S. [1975], Some problems arising in pooling cross section and time series data, „Discussion Paper University of Rochester”, No. 61pl_PL
dc.referencesMaddala G. S. [1987], Recent developments in the econometrics of panel data analysis, „Transportation Research”, Vol. 21A, s. 303–326pl_PL
dc.referencesMaddala G. S. [1994], Some problems arising in pooling cross section and time series data, [w:] G. S. Maddala, Econometric Methods and Applications, Vol. 1, Edward Elgar, Aldershot, s. 223–245pl_PL
dc.referencesMaddala G. S. [1998], Recent developments in dynamic econometric modeling: A Personal Viewpoint, „Political Analysis”, Vol. 7, s. 59–87pl_PL
dc.referencesMaddala G. S., Wu S. [1999a], A comparative study of unit root tests and a new simple test, „Oxford Bulletin of Economics and Statistics”, Vol. 61, s. 631–652pl_PL
dc.referencesMaddala G. S., Wu S. [1999b], On the use of panel data methods with cross country data, „Annales d’Economie et de Statistique”, Vol. 55–56, s. 429–448pl_PL
dc.referencesMaddala G. S., Trost R., Li H., Joutz F. [1997], Estimation of a short-run and long-run elasticities of energy demand from panel data using shrinkage estimators, „Journal of Business and Economic Statistics”, Vol. 15, s. 90–100pl_PL
dc.referencesMalaga K. [2004], Konwergencja gospodarcza w krajach OECD w świetle zagregowanych modeli wzrostu, „Prace Habilitacyjne”, nr 10, Wydawnictwo AE w Poznaniu, Poznańpl_PL
dc.referencesMalaga K., Kliber P. [2007], Konwergencja i nierówności regionalne w Polsce w świetle neoklasycznych modeli wzrostu, Wydawnictwo Akademii Ekonomicznej, Poznańpl_PL
dc.referencesMankiw N., Romer D., Weil D. [1992], A contribution to the empirics of economic growth, „Quarterly Journal of Economics”, Vol. 107, No. 2, s. 407–437pl_PL
dc.referencesMatyas L., Sevestre P. (eds.) [2008], The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice, 3rd Ed., Springer, New Yorkpl_PL
dc.referencesMeghir C., Windmeijer F. [1999], Moment conditions for dynamic panel data models with multiplicative individual effects in the conditional variance, „Annales d’Economie et de Statistique”, Vol. 55–56, s. 317–330pl_PL
dc.referencesMichałek J., Siwiński W., Socha M. (red.) [2003], Od liberalizacji do integracji Polski z Unią Europejską. Mechanizmy i skutki gospodarcze, Wydawnictwo Naukowe PWN, Warszawapl_PL
dc.referencesMichałek J., Siwiński W., Socha M. (red.) [2007], Polska w Unii Europejskiej. Dynamika konwergencji ekonomicznej, Wydawnictwo Naukowe PNW, Warszawapl_PL
dc.referencesMincer J. [1974], Schooling, Experience and Earnings, Columbia University Press, New Yorkpl_PL
dc.referencesMoon H. R., Perron B. [2004], Testing for a unit root in panel with dynamic factors, „Journal of Econometrics”, Vol. 122, s. 81–126pl_PL
dc.referencesMorimune K. [1983], Approximate distribution of k-class estimators when the degree of overidentifiability is large compared with the sample size, „Econometrica”, Vol. 51, s. 821–841pl_PL
dc.referencesMundlak Y. [1961], Empirical production function free of management bias, „Journal of Farm Economics”, Vol. 43, s. 44–56pl_PL
dc.referencesNerlove M. [1965], Estimation and identification of Cobb-Douglas production function, Rand McNally, Chicagopl_PL
dc.referencesNerlove M. [1967], Experimental evidence on the estimation of dynamic economic relations from a time series of cross-sections, „Economic Studies Quarterly”, Vol. 18, s. 42–74pl_PL
dc.referencesNerlove M. [1971], Further Evidence on the Estimation of Dynamic Economic Relations from a Time Series of Cross-Sections, „Econometrica”, Vol. 39, s. 359–382pl_PL
dc.referencesNerlove M. [2000], An essay on the history of panel data econometrics, paper presented at the Ninth International Conference on Panel Data, June 22–23, 2000, Geneva, Switzerland, mimeopl_PL
dc.referencesNerlove M. [2002], Essays in Panel Data Econometrics, Cambridge University Press, Cambridgepl_PL
dc.referencesNickell S. [1981], Biases in dynamic models with fixed effects, „Econometrica”, Vol. 49, s. 1417–1426pl_PL
dc.referencesO’Mahony M., Vecchi M. [2003], Is there an ICT impact on TFP? A heterogeneous dynamic panel approach, „NIESR Discussion Papers”, No. 219pl_PL
dc.referencesOrdine P., Rose G. [2008], Local Banks Efficiency and Employment, „Review of Labour Economics and Industrial Relations”, Vol. 22, s. 469–493pl_PL
dc.referencesParente S., Prescott E. [2004], A unified theory of the evolution of international income levels, „Federal Reserve Bank of Minneapolis Staff Reports”, No. 333pl_PL
dc.referencesPark B., Sickles R., Simar L. [2007], Semiparametric efficient estimation of AR(1) panel data models, „Journal of Econometrics”, Vol. 117, s. 279–309pl_PL
dc.referencesPedroni P. [2004], Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis, „Econometric Theory”, Vol. 20, s. 597–625pl_PL
dc.referencesPedroni P. [2007], Social capital, barriers to production and capital shares: implication for the importance of parameter heterogeneity from a nonstationary panel approach, „Journal of Applied Econometrics”, Vol. 27, s. 429–451pl_PL
dc.referencesPesaran M. H. [2004], General diagnostic tests for of cross-section dependence in panels, „CESifo Working Paper”, No. 1229pl_PL
dc.referencesPesaran M. H. [2007], A simple panel unit root test in the presence of cross-section dependence, „Journal of Applied Econometrics”, Vol. 27, s. 265–312pl_PL
dc.referencesPesaran M. H., Smith R. [1995], Estimating long-run relationships from dynamic heterogeneous panels, „Journal of Econometrics”, Vol. 68, s. 79–113pl_PL
dc.referencesPesaran M. H., Shin Y., Smith R. [1999], Pooled mean group estimation of dynamic heterogeneous panels, „Journal of the American Statistical Association”, Vol. 94, s. 621–634pl_PL
dc.referencesPhilips P. C. B., Moon H. R. [1999], Linear regression limit theory for nonstationary panel data, „Econometrica”, Vol. 67, s. 1057–1111pl_PL
dc.referencesPhilips P. C. B., Moon H. R. [2000], Nonstationary panel data analysis: An Overview of Some Recent Developments, „Econometric Reviews”, Vol. 19, s. 263–286pl_PL
dc.referencesPhillips P. C. B., Sul D. [2003], Dynamic panel estimation and homogeneity testing under cross section dependence, „Econometrics Journal”, Vol. 6, s. 217–259pl_PL
dc.referencesPindyck R. S., Rubinfeld D. L. [1991], Econometric Models and Economic Forecasts, McGraw–Hills, New Yorkpl_PL
dc.referencesPirotte A. [1999], Convergence of the static estimation toward the long run effects of dynamic panel data models, „Economics Letters”, Vol. 63, s. 151–215pl_PL
dc.referencesPróchniak M., Witkowski B. [2006], Modelowanie ścieżek realnej konwergencji w skali międzynarodowej, „Gospodarka Narodowa”, nr 10, s. 1–32pl_PL
dc.referencesPrucha I. R. [1984], On the asymptotic efficiency of feasible Aitken estimators for seemingly unrelated regression models with error components, „Econometrica”, No. 52, s. 203–207pl_PL
dc.referencesQuah D. [1994], Exploiting cross-section variation for unit root inference in dynamic data, „Economics Letters”, Vol. 44, s. 9–19pl_PL
dc.referencesQuella N. [2006], Intra- and inter-sectoral knowledge spillovers and TFP growth rates, „Society for Economic Dynamics”, Ser. „2006 Meeting Papers”, No. 431pl_PL
dc.referencesRapacki R. (red.) [2009], Wzrost gospodarczy w krajach transformacji: konwergencja czy dywergencja?, Polskie Wydawnictwo Ekonomiczne, Warszawapl_PL
dc.referencesRidder G., Wansbeek T. J. [1990], Dynamic Models for Panel Data, [w:] R. van der Ploeg (ed.), Advanced Lectures in Quantitative Economics, Academic Press, New York, s. 557–582pl_PL
dc.referencesRobertson D., Symons J. [1992], Some strange properties of panel data estimators, „Journal of Applied Econometrics”, Vol. 7, s. 175–189pl_PL
dc.referencesRomer P. M. [1986], Increasing returns and long-run growth, „Journal of Political Economy”, Vol. 94, s. 1002–1037pl_PL
dc.referencesRomer P. M. [1990], Endogenous technological change, „Journal of Political Economy”, Vol. 98, s. 71–102pl_PL
dc.referencesSargan J. D. [1958], The estimation of economic relationships using instrumental variables, „Econometrica”, Vol. 26, s. 329–338pl_PL
dc.referencesSarno L., Taylor M. P. [1998], Real exchange rates under the current float: unequivocal evidence of mean reversion, „Economics Letters”, Vol. 60, s. 131–137pl_PL
dc.referencesSevestre P., Trognon A. [1985], A note on autoregressive error-components models, „Journal of Econometrics”, Vol. 29, s. 231–245pl_PL
dc.referencesSevestre P., Trognon A. [1996], Linear dynamic models, [w:] L. Matyas, P. Sevestre (eds.), The Econometrics of Panel Data: Handbook of Theory and Applications, Kluwer, Boston, Chapter 7pl_PL
dc.referencesShehzad C. T., De Haan J., Scholtens B. [2009], Growth and earnings persistence in banking firms: A Dynamic Panel Investigation, „CESIFO Working Paper”, No. 2772pl_PL
dc.referencesShell K. [1966], Toward a theory of inventive activity and capital accumulation, „American Economic Review”, Vol. 56, No. 2, s. 62–68pl_PL
dc.referencesSimmonds D. [2001], Appendix C: Longitudinal data in transport research, [w:] David Simmonds Consultancy. A new look at multi-modal modeling: modeling possibilities report, s. 79–108, http://www.davidsimmonds.com/index.php?action=download_resource&id=13&module=resourcesmodule&src... 10.02.2009pl_PL
dc.referencesSolow R. [1957], Technical change and the aggregate production function, „The Review of Economics and Statistics”, Vol. 39, No. 3, s. 312–320pl_PL
dc.referencesSoukiazis E., Castro V. [2004], How the Maastricht criteria and the stability and growth pact affected the convergence process in the European Union. A panel data analysis, „CEUNEUROP Working Paper”, No. 24pl_PL
dc.referencesSowell F. [1996], Optimal tests in parameter variation in the Generalized Method oh Moments framework, „Econometrica”, Vol. 64, s. 1085–1108pl_PL
dc.referencesStaiger D., Stock J. H. [1997], Instrumental variables regression with weak instruments, „Econometrica”, Vol. 65, s. 557–586pl_PL
dc.referencesStock J. H., Wright J. H. [2003], GMM with weak identification, „Econometrica”, Vol. 68, s. 1055–1096pl_PL
dc.referencesStrahl D. (red.) [2006], Metody oceny rozwoju regionalnego, Wydawnictwo Akademii Ekonomicznej we Wrocławiu, Wrocławpl_PL
dc.referencesStrahl D., Bal-Domańska B. [2009], Modele panelowe Produktu Krajowego Brutto w modelowaniu regionalnej innowacyjności, „Prace Naukowe Wałbrzyskiej Wyższej Szkoły Zarządzania i Przedsiębiorczości”, nr 4 (Wałbrzych)pl_PL
dc.referencesStrzała K. [2005], Korelacja inwestycji i oszczędności w krajach Unii Europejskiej – weryfikacja empiryczna z zastosowaniem podejścia panelowego, „Prace i Materiały Wydziału Zarządzania UG”: Ekonometryczne modelowanie i prognozowanie wzrostu gospodarczego, nr 1, s. 141–157pl_PL
dc.referencesSuits D. [1984], Dummy Variables: Mechanics vs. Interpretation, „Review of Economics and Statistics”, Vol. 66, s. 177–180pl_PL
dc.referencesSwamy P. A. V. B. [1970], Efficient Inference in a Random Coefficient Regression Model, „Econometrica”, Vol. 38, s. 311–323.pl_PL
dc.referencesSztaudynger J. J. [2005], Wzrost gospodarczy a kapitał społeczny, prywatyzacja i inflacja, Wydawnictwo Naukowe PWN, Warszawapl_PL
dc.referencesŚwieczewska D. [2007], Łączna produktywność czynników produkcji. Ucieleśniony kapitał wiedzy, [w:] W. Welfe (red.), Gospodarka oparta na wiedzy, PWE, Warszawa, rozdz. 4, s. 58–111pl_PL
dc.referencesTarling R. [2008], Statistical modelling for social researchers: principles and practice, Taylor & Francis, Londonpl_PL
dc.referencesTesler L. G. [1964], Iterative simultaneous estimation of set of linear regressions, „Journal of American Statistical Association”, Vol. 59, s. 845–862pl_PL
dc.referencesThangavelu S. M., Owyong D. T. [2003], The impact of export growth and scale economies on productivity in Singapore's manufacturing industries, „Journal of Economic Studies”, Vol. 30, No. 6, s. 623–635pl_PL
dc.referencesTokarski T. [1995], Nakłady na badania i rozwój a wzrost dochodu narodowego i wydajność pracy, „Wiadomości Statystyczne”, nr 1, s. 33–41pl_PL
dc.referencesTokarski T. [1996], Postęp techniczny a wzrost gospodarczy w modelach endogenicznych, „Ekonomista”, nr 5, s. 581–604pl_PL
dc.referencesTokarski T. [2002], Determinanty wzrostu gospodarczego w warunkach stałych efektów skali, Katedra Ekonomii Uniwersytetu Łódzkiego, Łódźpl_PL
dc.referencesTokarski T. [2008a], Efekty skali a wzrost gospodarczy, Wydawnictwo Uniwersytetu Jagiellońskiego, Krakówpl_PL
dc.referencesTokarski T. [2008b], Oszacowanie regionalnych funkcji produkcji, „Wiadomości Statystyczne”, Vol. 10, s. 38–53pl_PL
dc.referencesTrognon A. [1978], Miscellaneous asymptotic properties of Ordinary Least Squares and Maximum Likelihood methods in dynamic error components models, „Annales de l’INSEE”, Vol. 30–31, s. 631–657pl_PL
dc.referencesVerbeek M. [2004], A Guide to Modern Econometrics, 2nd Ed., Wiley & Sons, Chichesterpl_PL
dc.referencesVerbeek M. [2008], Pseudo panels and repeated cross-sections, [w:] L. Matyas, P. Sevestre (eds.), The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice, 3rd Ed., Springer, New York, Chapter 11pl_PL
dc.referencesWansbeek T. J., Kapteyn A. [1982], A simple way to obtain the spectral decomposition of variance components models for balanced data, „Communications in Statistics”, Vol. A11, s. 2105–2112pl_PL
dc.referencesWelfe W. [2000], Empiryczne modele wzrostu gospodarczego, „Ekonomista”, nr 4, s. 483–499pl_PL
dc.referencesWelfe W. [2003], Łączna produktywność czynników produkcji a postęp techniczny, „Studia Ekonomiczne”, vol. 36–37, nr 1–2, s. 94–115pl_PL
dc.referencesWelfe W. (red.) [2001], Ekonometryczny model wzrostu gospodarczego, Wydawnictwo Uniwersytetu Łódzkiego, Łódźpl_PL
dc.referencesWelfe W. (red.) [2007], Gospodarka oparta na wiedzy, PWE, Warszawapl_PL
dc.referencesWindmeijer F. [2005], A finite sample correction for the variance of linear efficient two-step GMM estimators, „Journal of Econometrics”, Vol. 126, s. 25–51pl_PL
dc.referencesWooldridge J. M., [2002], Econometric Analysis of Cross Section and Panel Data, MIT Press, Cambridge (MA)pl_PL
dc.referencesWorrall J. L., Pratt T. C. [2004], Estimation Issues with Time-Series – Cross-Section Analysis in Criminology, „Western Criminology Review”, Vol. 5, No. 1, s. 35–49pl_PL
dc.referencesWójcik P. [2004], Konwergencja regionów Polski w latach 1990–2001, „Gospodarka Narodowa”, nr 11–12, s. 69–85pl_PL
dc.referencesWójcik P. [2008], Dywergencja czy konwergencja: dynamika rozwoju polskich regionów, „Studia Regionalne i Lokalne”, Vol. 2, No. 32, s. 41–60pl_PL
dc.referencesYin Y., Wu S. [2000], Stationarity tests in heterogeneous panels, „Advances in Econometrics”, Vol. 15, s. 275–296pl_PL
dc.referencesZellner A. [1962], An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias, „Journal of the American Statistical Association”, Vol. 57, s. 348–368pl_PL
dc.referencesZienkowski L. (red.) [2003], Wiedza a wzrost gospodarczy, Scholar, Warszawapl_PL
dc.referencesZiliak J. P. [1997], Efficient estimation with panel data when instruments are predetermined: An Empirical Comparison of Moment-condition Estimators, „Journal of Business and Economic Statistics”, Vol. 15, s. 419–431pl_PL
dc.identifier.doi10.18778/7525-549-2
dc.disciplineekonomia i finansepl_PL


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