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2 edition of test of the international convergence hypothesis using panel data found in the catalog.

test of the international convergence hypothesis using panel data

Norman Loayza

test of the international convergence hypothesis using panel data

by Norman Loayza

  • 59 Want to read
  • 26 Currently reading

Published by World Bank, Policy Research Dept., Macroeconomics and Growth Division in Washington, D.C .
Written in English

    Subjects:
  • Comparative economics -- Econometric models.,
  • Economic policy -- Econometric models.,
  • Panel analysis -- Econometric models.

  • Edition Notes

    StatementNorman Loayza.
    SeriesPolicy research working paper ;, 1333, Policy research working papers ;, 1333.
    ContributionsWorld Bank. Policy Research Dept. Macroeconomics and Growth Division.
    Classifications
    LC ClassificationsHG3881.5.W57 P63 no. 1333
    The Physical Object
    Pagination30 p. :
    Number of Pages30
    ID Numbers
    Open LibraryOL932988M
    LC Control Number95233811
    OCLC/WorldCa31070627

    Anderson, T.W. & C. Hsiao () Formulat ion and estimation of dynamic models using panel data. Gallon's fallacy and tests of the convergence hypothesis. International Journal of Production Research, Vol. 51, Issue. 19, p. CrossRef;. domain converge to the same steady-state level. I then test the (un)conditional convergence hypothesis using a five-year panel of book and film production for 39 and 29 countries, respectively, over the period to , as well as a four-year panel for 25 countries over the period to The empirical results support the model's.

    In a recent paper Lichtenberg () proposes a test of the convergence hypothesis that the variance of productivity across countries decreases over time. He argues that the ratio of the variance in the first period to that in the last period of the time series is F-distributed but overlooks the dependency between these two variances.   Using Hypothesis Testing, we try to interpret or draw conclusions about the population using sample data. A Hypothesis Test evaluates two mutually exclusive statements about a population to determine which statement is best supported by the sample data. Whenever we want to make claims about the distribution of data or whether one set of results.

    the convergence hypothesis using a comparative, longitudinal design. This paper takes a step in that direction, investigating the disparity in performance on standardized tests between immi-grant and native-born students - ‘the nativity gap’- in New York City over time . ESSAYS ON PANEL UNIT ROOT PROCEDORES: APPLICATIONS TO THE C0NVERO2NCE HYPOTHESIS, PPP and ÜCIP A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The Department of Economics by Kenan Lopcu.


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Test of the international convergence hypothesis using panel data by Norman Loayza Download PDF EPUB FB2

A test of the international convergence hypothesis using panel data (English) Abstract. The author, using a neoclassical Solow model, estimates an economy's rate of convergence to its own steady state. Using panel date for a sample of 98 countries, the author applies Chamberlain's () estimation procedures to account for the presence Cited by: Get this from a library.

A test of the international convergence hypothesis using panel data. [Norman Loayza; World Bank. Macroeconomics and Growth Division.]. Downloadable. The author, using a neoclassical Solow model, estimates an economy's rate of convergence to its own steady state.

Using panel date for a sample of 98 countries, the author applies Chamberlain's () estimation procedures to account for the presence of country-specific effects resulting from idiosyncratic unobservable factors.

A test of the international convergence hypothesis using panel data (Inglês) Resumo. The author, using a neoclassical Solow model, estimates an economy's rate of convergence to its own steady state.

Using panel date for a sample of 98 countries, the author applies Chamberlain's () estimation procedures to account for the presence Cited by:   In this paper we test the convergence hypothesis by using a revised 4-step procedure of panel unit root test suggested by Evans and Karras (). We use data on output for 24 OECD countries over 40 years long.

Whether the convergence, if Cited by: 4. We test for both absolute and the conditional convergence with panel unit root tests using the Summers and Heston's data and on the periods of to and from to The absolute convergence hypothesis use panel unit roots test with no fixed individual effects.

The use of cross-section method obviates the business cycle effects in the data and facilitates a comparison of our results with those of Mankiw et al.

(), thus, using a new measure of human capital and following the framework suggested by them, the paper shows that African countries do exhibit conditional convergence and in these countries. Other studies have conducted panel unit root test on the convergence hypothesis, and used the system-generalized method of moments for the dynamic panel data model to show that earlier results.

have been employed in studying income convergence. Some studies conducted panel unit root test on the convergence hypothesis (Quah, ; Levin and Lin, ; Im et al., ).

Others used the system-generalized method of moments for the dynamic panel data model (Bond et al. ) to show that earlier results might be seriously biased due to.

It analyzes the hypothesis of accounting quality changes in post-IFRS convergence by using the univariate and multivariate statistics. Particularly, the authors rely on panel data analyses using industrial companies’ data from untilcomprising 3, firm-years observations, in Indonesia.

Testing the convergence hypothesis for. OECD countries: a reappraisal. intensified when using panel data in the respective studies of Islam () and De Data of per capita income are in. the convergence hypothesis in a panel data framework.

Using this framework he is able to account for the time invariant cross-sectional specific effects. Our data is also pooled time series and cross-sectional data, so we use the modified form of the equation as given by Islam () to test the convergence hypothesis across Pakistani provinces.

Downloadable. Abstract: Using a panel data model to control for differences in regional technological levels and to take into account endogeneity, we find two key results for the growth of Italian regions. Firstly, we show that the rate of conditional convergence of each region is much higher (from 12% to 18% according to specifications) than that estimated in standard cross-section.

Convergence in International Output: Evidence from Panel Data Unit Root Tests Mark J. Holmes Loughborough University Abstract This paper investigates international out put convergence using methods of panel data unit root testing advocated by Im et al.

() and Breuer et al. Using quarterly data for a sample of OECD economies for the. intensified when using panel data in the respective studies of Islam () and De la Fuente (). However, Bernard and Durlauf (, ) reject this hypothesis of conver-gence for the OECD using time-series data while Nahar and Inder (), with a different technique, find convergence for 19 out of 21 countries in the OECD sample.

Maddala GS () On the use of panel data methods with cross-country data. Annales d’économie et de statistique 55–– Google Scholar Maddala GS, Wu S () A comparative study of unit root tests with panel data and a new simple test.

The present paper attempts to examine convergence hypothesis in three sequential steps. In the flrst step, we use panel unit root tests to check for stationarity incorporating cross sectional dependence.

Here it may be emphasized that this step is a test for conditional convergence in panel unit root framework (Evans and Karras, a, b). There are two hypotheses involved in hypothesis testing Null hypothesis H 0: It is the hypothesis to be tested.

Alternative hypothesis H A: It is a statement of what we believe is true if our sample data cause us to reject the null hypothesis Text Book: Basic. Testing for Unit Roots in Panel Data: An Exploration Using Real and Simulated Data Bronwyn H.

Hall and Jacques Mairesse 1 Introduction In this paper, we investigate the properties of several unit root tests in short panel data models using simulated data that look like the data typically encountered in studies on firm behavior.

The use of panel data to test the convergence hypothesis has some various ad-vantages over cross-sectional data. First, they permit the introduction of dynamism into the models by introducing lags into the specification.

Second, and more impor-tant, the use of panel data enables us to discern whether the estimated coefficients. Next, absolute and relative β-convergence, i.e., convergence of growth rates, are analyzed by means of cross-sectional and panel regression approaches.

Moreover, in Sect. convergence of levels of material productivity, the so-called time-series forecast convergence, is analyzed by means of panel unit root testing.Inflation convergence between the Euro Zone and its CEE partners is investigated using panel data methods that incorporate structural shifts.

Strong rejections of the unit root hypothesis are found.To identify these differences, this study applies the convergence hypothesis, which has been the subject of numerous researchers since the s. In this study, we analyzed the greenhouse gas intensity convergence for countries in the Organization for Economic Cooperation and Development (OECD) using linear and nonlinear panel unit root tests.