Import Relationship

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Acheampong Lawrence - One of the best experts on this subject based on the ideXlab platform.

  • Comparing parametric and semiparametric error correction models for estimation of long run equilibrium between exports and Imports
    'University of Debrecen Debreceni Egyetem', 2020
    Co-Authors: De-graft Acquah Henry, Acheampong Lawrence
    Abstract:

    This paper introduces the semiparametric error correction model for estimation of export-Import Relationship as an alternative to the least squares approach. The intent is to demonstrate how semiparametric error correction model can be used to estimate the Relationship between Ghana’s export and Import within the context of a generalized additive modelling (GAM) framework. The semiparametric results are compared to common parametric specification using the ordinary least squares regression. The results from the semiparametric and parametric error correction models (ECM) indicate that the error correction term and Import variable are significant determinants of Ghana’s exports. On the basis of Akaike Information Criteria and Generalized Cross-Validation (GCV) scores, it is found that the semiparametric error correction model provides a better fit than the widely used parametric error correction model for modeling Ghana’s export-Import Relationship. The results of the analysis of variance provide further evidence of nonlinearity in Ghana’s export and Import Relationship. In effect, this paper demonstrates the usefulness of semiparametric error correction model in the estimation of export – Import Relationship. JEL code: C14, C18, C22, F10, F1

  • COMPARING PARAMETRIC AND SEMIPARAMETRIC ERROR CORRECTION MODELS FOR ESTIMATION OF LONG RUN EQUILIBRIUM BETWEEN EXPORTS AND ImportS
    Applied Studies in Agribusiness and Commerce, 2017
    Co-Authors: De-graft Acquah Henry, Acheampong Lawrence
    Abstract:

    This paper introduces the semiparametric error correction model for estimation of export-Import Relationship as an alternative to the least squares approach. The intent is to demonstrate how semiparametric error correction model can be used to estimate the Relationship between Ghana’s export and Import within the context of a generalized additive modelling (GAM) framework. The semiparametric results are compared to common parametric specification using the ordinary least squares regression. The results from the semiparametric and parametric error correction models (ECM) indicate that the error correction term and Import variable are significant determinants of Ghana’s exports. On the basis of Akaike Information Criteria and Generalized Cross-Validation (GCV) scores, it is found that the semiparametric error correction model provides a better fit than the widely used parametric error correction model for modeling Ghana’s export-Import Relationship. The results of the analysis of variance provide further evidence of nonlinearity in Ghana’s export and Import Relationship. In effect, this paper demonstrates the usefulness of semiparametric error correction model in the estimation of export – Import Relationship.

Mikael Savelainen - One of the best experts on this subject based on the ideXlab platform.

De-graft Acquah Henry - One of the best experts on this subject based on the ideXlab platform.

  • Comparing parametric and semiparametric error correction models for estimation of long run equilibrium between exports and Imports
    'University of Debrecen Debreceni Egyetem', 2020
    Co-Authors: De-graft Acquah Henry, Acheampong Lawrence
    Abstract:

    This paper introduces the semiparametric error correction model for estimation of export-Import Relationship as an alternative to the least squares approach. The intent is to demonstrate how semiparametric error correction model can be used to estimate the Relationship between Ghana’s export and Import within the context of a generalized additive modelling (GAM) framework. The semiparametric results are compared to common parametric specification using the ordinary least squares regression. The results from the semiparametric and parametric error correction models (ECM) indicate that the error correction term and Import variable are significant determinants of Ghana’s exports. On the basis of Akaike Information Criteria and Generalized Cross-Validation (GCV) scores, it is found that the semiparametric error correction model provides a better fit than the widely used parametric error correction model for modeling Ghana’s export-Import Relationship. The results of the analysis of variance provide further evidence of nonlinearity in Ghana’s export and Import Relationship. In effect, this paper demonstrates the usefulness of semiparametric error correction model in the estimation of export – Import Relationship. JEL code: C14, C18, C22, F10, F1

  • COMPARING PARAMETRIC AND SEMIPARAMETRIC ERROR CORRECTION MODELS FOR ESTIMATION OF LONG RUN EQUILIBRIUM BETWEEN EXPORTS AND ImportS
    Applied Studies in Agribusiness and Commerce, 2017
    Co-Authors: De-graft Acquah Henry, Acheampong Lawrence
    Abstract:

    This paper introduces the semiparametric error correction model for estimation of export-Import Relationship as an alternative to the least squares approach. The intent is to demonstrate how semiparametric error correction model can be used to estimate the Relationship between Ghana’s export and Import within the context of a generalized additive modelling (GAM) framework. The semiparametric results are compared to common parametric specification using the ordinary least squares regression. The results from the semiparametric and parametric error correction models (ECM) indicate that the error correction term and Import variable are significant determinants of Ghana’s exports. On the basis of Akaike Information Criteria and Generalized Cross-Validation (GCV) scores, it is found that the semiparametric error correction model provides a better fit than the widely used parametric error correction model for modeling Ghana’s export-Import Relationship. The results of the analysis of variance provide further evidence of nonlinearity in Ghana’s export and Import Relationship. In effect, this paper demonstrates the usefulness of semiparametric error correction model in the estimation of export – Import Relationship.

Ronald Scott Marshall - One of the best experts on this subject based on the ideXlab platform.

  • Building trust early: the influence of first and second order expectations on trust in international channels of distribution
    International Business Review, 2003
    Co-Authors: Ronald Scott Marshall
    Abstract:

    Scenario-based survey data from export managers in the U.S. and Peru are used to explore interactive decision-making in an international distribution channel context. Export managers' first and second order expectations [J. Acad. Market. Sci. 13 (1985) 4] are operationalized in terms of affect- and cognition-based trust mechanisms [Soc. Forces 63 (1985) 967] and are examined in relation to multi-stage interactive decision-making. Findings suggest that building trust early is more dependent on matching, rather than exceeding, a partner's expectations. In addition, managers who heavily weigh their beliefs of what others expect of them in decision-making, tend to make affect-based decisions in the early stages of an interorganizational Relationship. Finally, consistent with culture-based theories on in-group/out-group orientation, Peruvian export managers were more likely than US export managers to focus on a more instrumental, or cognitive, approach to building an initial export-Import Relationship.

Linus Olofsson - One of the best experts on this subject based on the ideXlab platform.