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Country Reputation and International Trade:
         A Structural Gravity Approach

   Yoto V. Yotov       Daniel Korschun            Boryana Dimitrova

                       DREXEL UNIVERSITY




         International Reputation Management Conference
                           Istanbul, 2012



We thank the Oxford Centre for Corporate Reputation and the LeBow
Center for Corporate Reputation Management for financial support.


                      Yoto V. Yotov   Reputation & Trade
Motivation

  Countries devote significant effort and spending in order to
  enhance their reputation with foreign partners.




                        Yoto V. Yotov   Reputation & Trade
Motivation

  Countries devote significant effort and spending in order to
  enhance their reputation with foreign partners.




  Chile’s “Frutas de Chile” promotional campaign is designed to “improve
  Chile’s reputation and bolster the Chilean fruit industry in the USA,
  Europe, and Asia.”


                          Yoto V. Yotov   Reputation & Trade
Motivation

  Countries devote significant effort and spending in order to
  enhance their reputation with foreign partners.




  The Serbian Investment and Export Promotion Agency strives “to raise
  Serbia’s profile in the minds of international business decision-makers.”


                           Yoto V. Yotov   Reputation & Trade
Motivation

  Countries devote significant effort and spending in order to
  enhance their reputation with foreign partners.


      Turkey’s Export
      Promotion Center has
      been very active.



      Efforts include: Establishing business relations between foreign
      importers and Turkish exporters; Organizing national and
      international trade fairs; Organizing Turkish Export Products
      Exhibitions abroad.




                          Yoto V. Yotov   Reputation & Trade
Motivation

  Countries devote significant effort and spending in order to
  enhance their reputation with foreign partners.


    Turkey’s Investment Promotion Center
    has been very active as well.

    The 2007-2008 campaign includes
    2687 TV-Spots, 45 News Papers, 45
    Magazines in Asia, Europe, USA, Gulf
    Countries, Middle East.




                         Yoto V. Yotov   Reputation & Trade
Motivation and Contributions

  Countries devote significant effort and spending in order to
  enhance their reputation with foreign partners.




                        Yoto V. Yotov   Reputation & Trade
Motivation and Contributions

  Countries devote significant effort and spending in order to
  enhance their reputation with foreign partners.

  There is little (if any) rigorous empirical work quantifying the
  effects of promotional and reputation efforts at the country level.




                         Yoto V. Yotov   Reputation & Trade
Motivation and Contributions

  Countries devote significant effort and spending in order to
  enhance their reputation with foreign partners.

  There is little (if any) rigorous empirical work quantifying the
  effects of promotional and reputation efforts at the country level.

  Contributions
      Employ the latest theoretical and econometric developments
      from the trade literature to quantify the effects of country
      reputation on international trade both at the aggregate and
      at the sectoral level.


      Introduce the structural gravity model of international trade
      to the fields of management and marketing.



                         Yoto V. Yotov   Reputation & Trade
Main Findings

     Country reputation is an important determinant of trade.
         We estimate positive and economically and statistically
         significant effects of reputation on international trade.
         All else equal, on average, a unit improvement in reputation
         translates into 2% increase in trade.
         All else equal, a unit improvement in reputation is equivalent
         to 4% tariff-equivalent trade liberalization.
         All else equal, a unit improvement in reputation is equivalent
         to 2% hypothetical decrease in average exports distance.

     The effects of reputation are stronger for more heterogeneous
     products.

     The effects of reputation are equally strong across developed
     and developing nations.

                        Yoto V. Yotov   Reputation & Trade
The Structural Gravity Model

  Remember Newton?
                                     mi mj
                           Fij = G      2
                                      dij




                     Yoto V. Yotov   Reputation & Trade
The Structural Gravity Model

  Remember Newton?
                                          mi mj
                                Fij = G      2
                                           dij

  Under standard assumptions (Armington and CES), trade theory obtains:
                                          Yi Ej
                                Xij = A     σ−1
                                          Tij




                          Yoto V. Yotov   Reputation & Trade
The Structural Gravity Model

  Remember Newton?
                                                mi mj
                                      Fij = G      2
                                                 dij

  Under standard assumptions (Armington and CES), trade theory obtains:
                                                Yi Ej
                                      Xij = A     σ−1
                                                Tij

  where:
         σ−1
       Tij   = e β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +eij




                                Yoto V. Yotov    Reputation & Trade
The Structural Gravity Model

  Remember Newton?
                                                  mi mj
                                        Fij = G      2
                                                   dij

  Under standard assumptions (Armington and CES), trade theory obtains:
                                                  Yi Ej
                                        Xij = A     σ−1
                                                  Tij

  where:
          σ−1
        Tij   = e β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +eij

     σ−1
   Tij   = e β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +˜ij
                                                                                           e




                                  Yoto V. Yotov    Reputation & Trade
Econometric Specification & Data
  Log-linearized specification→ OLS

    lnXij   = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij +
               β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij




                           Yoto V. Yotov   Reputation & Trade
Econometric Specification & Data
  Log-linearized specification→ OLS

    lnXij   = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij +
               β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij


  Zeros and heteroskedasticity?




                           Yoto V. Yotov   Reputation & Trade
Econometric Specification & Data
  Log-linearized specification→ OLS

     lnXij    = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij +
                   β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij


  Zeros and heteroskedasticity? → PPML

  Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +ln Yi +ln Ej +eij




                                    Yoto V. Yotov    Reputation & Trade
Econometric Specification & Data
  Log-linearized specification→ OLS

     lnXij    = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij +
                   β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij


  Zeros and heteroskedasticity? → PPML

  Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +ln Yi +ln Ej +eij


  Unobservables and endogeneity?




                                    Yoto V. Yotov    Reputation & Trade
Econometric Specification & Data
  Log-linearized specification→ OLS

     lnXij    = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij +
                   β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij


  Zeros and heteroskedasticity? → PPML

  Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +ln Yi +ln Ej +eij


  Unobservables and endogeneity?→ Fixed Effects

        Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β7 RPTNij +γi +φj +eij




                                    Yoto V. Yotov    Reputation & Trade
Econometric Specification & Data
  Log-linearized specification→ OLS

     lnXij    = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij +
                   β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij


  Zeros and heteroskedasticity? → PPML

  Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +ln Yi +ln Ej +eij


  Unobservables and endogeneity?→ Fixed Effects

        Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β7 RPTNij +γi +φj +eij


  Data: 2009/50 exporters/20 importers; Trade Flows (United Nations
  COMTRADE); Gravity variables (CEPII’s Gravity Database); Reputation
  data (Anholt-GfK Nation Brands Index Database).
                                    Yoto V. Yotov    Reputation & Trade
Main Estimation Results


                   ALL       AGRIC          MINING         MNFRG
       DIST      -1.032       -1.112         -1.819         -1.027
               (0.039)**    (0.085)**      (0.169)**      (0.037)**
       BRDR       0.289        0.638         0.551          0.264
               (0.081)**    (0.159)**       (0.361)       (0.076)**
       LANG      0.252        -0.193          0.790         0.262
               (0.092)**     (0.188)       (0.409)+       (0.082)**
       CLNY       0.011       -0.237         -0.554          0.032
                (0.093)      (0.252)        (0.769)        (0.090)
       RPTN       0.020        0.018         -0.014          0.019
               (0.006)**    (0.007)**       (0.013)       (0.005)**
       CONST     22.745       13.604        24.978         22.944
               (0.906)**    (0.907)**      (1.773)**      (0.836)**
       N           881          881            881            881
       R2        0.940         0.849          0.856         0.950



                     Yoto V. Yotov   Reputation & Trade
Sensitivity Experiments
  Reputation Effects and Product Heterogeneity:

                      FRNTR        PBLISH      CHMCLS            MNRLS
            RPTN       0.042        0.015        0.029            0.022
                     (0.008)**    (0.008)+     (0.005)**        (0.007)**

                      MCHNS        FOOD          TEXTL           METLS
            RPTN       0.013        0.011         0.011           0.025
                     (0.005)**    (0.007)+      (0.007)+        (0.009)**




                           Yoto V. Yotov   Reputation & Trade
Sensitivity Experiments
  Reputation Effects and Product Heterogeneity:

                      FRNTR        PBLISH      CHMCLS            MNRLS
            RPTN       0.042        0.015        0.029            0.022
                     (0.008)**    (0.008)+     (0.005)**        (0.007)**

                      MCHNS        FOOD          TEXTL           METLS
            RPTN       0.013        0.011         0.011           0.025
                     (0.005)**    (0.007)+      (0.007)+        (0.009)**

  corr (RPTN, σ)= -.74!




                           Yoto V. Yotov   Reputation & Trade
Sensitivity Experiments
  Reputation Effects and Product Heterogeneity:

                      FRNTR         PBLISH       CHMCLS            MNRLS
            RPTN       0.042         0.015         0.029            0.022
                     (0.008)**     (0.008)+      (0.005)**        (0.007)**

                      MCHNS         FOOD           TEXTL           METLS
            RPTN       0.013         0.011          0.011           0.025
                     (0.005)**     (0.007)+       (0.007)+        (0.009)**

  corr (RPTN, σ)= -.74!

  Reputation Effects and Country Risk

                  DEVELPD         POLITY       ECFREEDM           RULEOFLAW
       LOWER         0.019         0.024          0.018               0.018
                   (0.007)*      (0.007)**       (0.007)*           (0.007)*
       UPPER         0.023         0.008          0.025               0.026
                  (0.008)**       (0.008)       (0.008)**          (0.008)**
       χ2            .189          2.271           .385               .601
       p-value       .664           .132           .535               .438
                           Yoto V. Yotov     Reputation & Trade
Quantitative Implications

  Based on our aggregate sample estimates RPTN = 0.020 (std.err.
  0.006), a unit improvement in a country’s reputation is equivalent
  to:

         ˆ
        e βRPTN − 1 =1.987% (std.err. 0.562) increase in trade.




                         Yoto V. Yotov   Reputation & Trade
Quantitative Implications

  Based on our aggregate sample estimates RPTN = 0.020 (std.err.
  0.006), a unit improvement in a country’s reputation is equivalent
  to:

            ˆ
        e βRPTN − 1 =1.987% (std.err. 0.562) increase in trade.

            ˆ
            βRPTN
        e    1−σ
               ˆ    − 1 =-3.856% (std.err. 1.059) trade liberalization.




                             Yoto V. Yotov   Reputation & Trade
Quantitative Implications

  Based on our aggregate sample estimates RPTN = 0.020 (std.err.
  0.006), a unit improvement in a country’s reputation is equivalent
  to:

            ˆ
        e βRPTN − 1 =1.987% (std.err. 0.562) increase in trade.

            ˆ
            βRPTN
        e    1−σ
               ˆ    − 1 =-3.856% (std.err. 1.059) trade liberalization.


            ˆ
            βRPTN
          ˆ
        e βDIST − 1 =-1.889% (std.err. 0.525) decrease in distance.




                             Yoto V. Yotov   Reputation & Trade
Quantitative Implications

  Based on our aggregate sample estimates RPTN = 0.020 (std.err.
  0.006), a unit improvement in a country’s reputation is equivalent
  to:

            ˆ
        e βRPTN − 1 =1.987% (std.err. 0.562) increase in trade.

            ˆ
            βRPTN
        e    1−σ
               ˆ    − 1 =-3.856% (std.err. 1.059) trade liberalization.


            ˆ
            βRPTN
          ˆ
        e βDIST − 1 =-1.889% (std.err. 0.525) decrease in distance.


  Turkey can double its exports by improving its reputation!

                             Yoto V. Yotov   Reputation & Trade
Conclusions & Extensions



     We quantify the effects of country reputation on
     international trade.


     We introduce the structural gravity model to the
     fields of management and marketing.


     Our theoretical framework is flexible and allows for numerous
     extensions and policy experiments.




                         Yoto V. Yotov   Reputation & Trade

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Uluslararası İtibar Yönetimi Konferansı 2012- Ülke İtibarı ve Uluslararası Ticaret- Dr. Yoto V. Yotov, Dr. Daniel Korschun ve Boryana V. Dimitrova

  • 1. Country Reputation and International Trade: A Structural Gravity Approach Yoto V. Yotov Daniel Korschun Boryana Dimitrova DREXEL UNIVERSITY International Reputation Management Conference Istanbul, 2012 We thank the Oxford Centre for Corporate Reputation and the LeBow Center for Corporate Reputation Management for financial support. Yoto V. Yotov Reputation & Trade
  • 2. Motivation Countries devote significant effort and spending in order to enhance their reputation with foreign partners. Yoto V. Yotov Reputation & Trade
  • 3. Motivation Countries devote significant effort and spending in order to enhance their reputation with foreign partners. Chile’s “Frutas de Chile” promotional campaign is designed to “improve Chile’s reputation and bolster the Chilean fruit industry in the USA, Europe, and Asia.” Yoto V. Yotov Reputation & Trade
  • 4. Motivation Countries devote significant effort and spending in order to enhance their reputation with foreign partners. The Serbian Investment and Export Promotion Agency strives “to raise Serbia’s profile in the minds of international business decision-makers.” Yoto V. Yotov Reputation & Trade
  • 5. Motivation Countries devote significant effort and spending in order to enhance their reputation with foreign partners. Turkey’s Export Promotion Center has been very active. Efforts include: Establishing business relations between foreign importers and Turkish exporters; Organizing national and international trade fairs; Organizing Turkish Export Products Exhibitions abroad. Yoto V. Yotov Reputation & Trade
  • 6. Motivation Countries devote significant effort and spending in order to enhance their reputation with foreign partners. Turkey’s Investment Promotion Center has been very active as well. The 2007-2008 campaign includes 2687 TV-Spots, 45 News Papers, 45 Magazines in Asia, Europe, USA, Gulf Countries, Middle East. Yoto V. Yotov Reputation & Trade
  • 7. Motivation and Contributions Countries devote significant effort and spending in order to enhance their reputation with foreign partners. Yoto V. Yotov Reputation & Trade
  • 8. Motivation and Contributions Countries devote significant effort and spending in order to enhance their reputation with foreign partners. There is little (if any) rigorous empirical work quantifying the effects of promotional and reputation efforts at the country level. Yoto V. Yotov Reputation & Trade
  • 9. Motivation and Contributions Countries devote significant effort and spending in order to enhance their reputation with foreign partners. There is little (if any) rigorous empirical work quantifying the effects of promotional and reputation efforts at the country level. Contributions Employ the latest theoretical and econometric developments from the trade literature to quantify the effects of country reputation on international trade both at the aggregate and at the sectoral level. Introduce the structural gravity model of international trade to the fields of management and marketing. Yoto V. Yotov Reputation & Trade
  • 10. Main Findings Country reputation is an important determinant of trade. We estimate positive and economically and statistically significant effects of reputation on international trade. All else equal, on average, a unit improvement in reputation translates into 2% increase in trade. All else equal, a unit improvement in reputation is equivalent to 4% tariff-equivalent trade liberalization. All else equal, a unit improvement in reputation is equivalent to 2% hypothetical decrease in average exports distance. The effects of reputation are stronger for more heterogeneous products. The effects of reputation are equally strong across developed and developing nations. Yoto V. Yotov Reputation & Trade
  • 11. The Structural Gravity Model Remember Newton? mi mj Fij = G 2 dij Yoto V. Yotov Reputation & Trade
  • 12. The Structural Gravity Model Remember Newton? mi mj Fij = G 2 dij Under standard assumptions (Armington and CES), trade theory obtains: Yi Ej Xij = A σ−1 Tij Yoto V. Yotov Reputation & Trade
  • 13. The Structural Gravity Model Remember Newton? mi mj Fij = G 2 dij Under standard assumptions (Armington and CES), trade theory obtains: Yi Ej Xij = A σ−1 Tij where: σ−1 Tij = e β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +eij Yoto V. Yotov Reputation & Trade
  • 14. The Structural Gravity Model Remember Newton? mi mj Fij = G 2 dij Under standard assumptions (Armington and CES), trade theory obtains: Yi Ej Xij = A σ−1 Tij where: σ−1 Tij = e β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +eij σ−1 Tij = e β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +˜ij e Yoto V. Yotov Reputation & Trade
  • 15. Econometric Specification & Data Log-linearized specification→ OLS lnXij = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij + β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij Yoto V. Yotov Reputation & Trade
  • 16. Econometric Specification & Data Log-linearized specification→ OLS lnXij = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij + β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij Zeros and heteroskedasticity? Yoto V. Yotov Reputation & Trade
  • 17. Econometric Specification & Data Log-linearized specification→ OLS lnXij = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij + β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij Zeros and heteroskedasticity? → PPML Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +ln Yi +ln Ej +eij Yoto V. Yotov Reputation & Trade
  • 18. Econometric Specification & Data Log-linearized specification→ OLS lnXij = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij + β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij Zeros and heteroskedasticity? → PPML Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +ln Yi +ln Ej +eij Unobservables and endogeneity? Yoto V. Yotov Reputation & Trade
  • 19. Econometric Specification & Data Log-linearized specification→ OLS lnXij = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij + β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij Zeros and heteroskedasticity? → PPML Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +ln Yi +ln Ej +eij Unobservables and endogeneity?→ Fixed Effects Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β7 RPTNij +γi +φj +eij Yoto V. Yotov Reputation & Trade
  • 20. Econometric Specification & Data Log-linearized specification→ OLS lnXij = β0 + β1 ln DISTij + β2 BRDRij + β3 LANGij + β4 CLNYij + β5 ln Πi + β6 ln Pj + β7 RPTNij + lnYi + lnEj + eij Zeros and heteroskedasticity? → PPML Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β5 ln Πi +β6 ln Pj +β7 RPTNij +ln Yi +ln Ej +eij Unobservables and endogeneity?→ Fixed Effects Xij = e β0 +β1 ln DISTij +β2 BRDRij +β3 LANGij +β4 CLNYij +β7 RPTNij +γi +φj +eij Data: 2009/50 exporters/20 importers; Trade Flows (United Nations COMTRADE); Gravity variables (CEPII’s Gravity Database); Reputation data (Anholt-GfK Nation Brands Index Database). Yoto V. Yotov Reputation & Trade
  • 21. Main Estimation Results ALL AGRIC MINING MNFRG DIST -1.032 -1.112 -1.819 -1.027 (0.039)** (0.085)** (0.169)** (0.037)** BRDR 0.289 0.638 0.551 0.264 (0.081)** (0.159)** (0.361) (0.076)** LANG 0.252 -0.193 0.790 0.262 (0.092)** (0.188) (0.409)+ (0.082)** CLNY 0.011 -0.237 -0.554 0.032 (0.093) (0.252) (0.769) (0.090) RPTN 0.020 0.018 -0.014 0.019 (0.006)** (0.007)** (0.013) (0.005)** CONST 22.745 13.604 24.978 22.944 (0.906)** (0.907)** (1.773)** (0.836)** N 881 881 881 881 R2 0.940 0.849 0.856 0.950 Yoto V. Yotov Reputation & Trade
  • 22. Sensitivity Experiments Reputation Effects and Product Heterogeneity: FRNTR PBLISH CHMCLS MNRLS RPTN 0.042 0.015 0.029 0.022 (0.008)** (0.008)+ (0.005)** (0.007)** MCHNS FOOD TEXTL METLS RPTN 0.013 0.011 0.011 0.025 (0.005)** (0.007)+ (0.007)+ (0.009)** Yoto V. Yotov Reputation & Trade
  • 23. Sensitivity Experiments Reputation Effects and Product Heterogeneity: FRNTR PBLISH CHMCLS MNRLS RPTN 0.042 0.015 0.029 0.022 (0.008)** (0.008)+ (0.005)** (0.007)** MCHNS FOOD TEXTL METLS RPTN 0.013 0.011 0.011 0.025 (0.005)** (0.007)+ (0.007)+ (0.009)** corr (RPTN, σ)= -.74! Yoto V. Yotov Reputation & Trade
  • 24. Sensitivity Experiments Reputation Effects and Product Heterogeneity: FRNTR PBLISH CHMCLS MNRLS RPTN 0.042 0.015 0.029 0.022 (0.008)** (0.008)+ (0.005)** (0.007)** MCHNS FOOD TEXTL METLS RPTN 0.013 0.011 0.011 0.025 (0.005)** (0.007)+ (0.007)+ (0.009)** corr (RPTN, σ)= -.74! Reputation Effects and Country Risk DEVELPD POLITY ECFREEDM RULEOFLAW LOWER 0.019 0.024 0.018 0.018 (0.007)* (0.007)** (0.007)* (0.007)* UPPER 0.023 0.008 0.025 0.026 (0.008)** (0.008) (0.008)** (0.008)** χ2 .189 2.271 .385 .601 p-value .664 .132 .535 .438 Yoto V. Yotov Reputation & Trade
  • 25. Quantitative Implications Based on our aggregate sample estimates RPTN = 0.020 (std.err. 0.006), a unit improvement in a country’s reputation is equivalent to: ˆ e βRPTN − 1 =1.987% (std.err. 0.562) increase in trade. Yoto V. Yotov Reputation & Trade
  • 26. Quantitative Implications Based on our aggregate sample estimates RPTN = 0.020 (std.err. 0.006), a unit improvement in a country’s reputation is equivalent to: ˆ e βRPTN − 1 =1.987% (std.err. 0.562) increase in trade. ˆ βRPTN e 1−σ ˆ − 1 =-3.856% (std.err. 1.059) trade liberalization. Yoto V. Yotov Reputation & Trade
  • 27. Quantitative Implications Based on our aggregate sample estimates RPTN = 0.020 (std.err. 0.006), a unit improvement in a country’s reputation is equivalent to: ˆ e βRPTN − 1 =1.987% (std.err. 0.562) increase in trade. ˆ βRPTN e 1−σ ˆ − 1 =-3.856% (std.err. 1.059) trade liberalization. ˆ βRPTN ˆ e βDIST − 1 =-1.889% (std.err. 0.525) decrease in distance. Yoto V. Yotov Reputation & Trade
  • 28. Quantitative Implications Based on our aggregate sample estimates RPTN = 0.020 (std.err. 0.006), a unit improvement in a country’s reputation is equivalent to: ˆ e βRPTN − 1 =1.987% (std.err. 0.562) increase in trade. ˆ βRPTN e 1−σ ˆ − 1 =-3.856% (std.err. 1.059) trade liberalization. ˆ βRPTN ˆ e βDIST − 1 =-1.889% (std.err. 0.525) decrease in distance. Turkey can double its exports by improving its reputation! Yoto V. Yotov Reputation & Trade
  • 29. Conclusions & Extensions We quantify the effects of country reputation on international trade. We introduce the structural gravity model to the fields of management and marketing. Our theoretical framework is flexible and allows for numerous extensions and policy experiments. Yoto V. Yotov Reputation & Trade