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Table 6 The impact of additional control variables

From: The Balassa-Samuelson effect reversed: new evidence from OECD countries

Dependent variable: RER

Variables

(1)

(2)

(3)

(4)

TFP.TPDBi

− 0.171

− 0.152

− 0.290

− 0.323

 

(0.082)

(0.080)

(0.085)

(0.077)

TFP.NTPDBi

− 0.695

− 0.357

− 0.797

− 0.722

 

(0.326)

(0.256)

(0.374)

(0.266)

TOT

0.195

0.338

0.136

0.190

 

(0.114)

(0.159)

(0.127)

(0.142)

GOV

0.000

   
 

(0.002)

   

CA

 

− 0.010

  
  

(0.003)

  

GDP

  

0.155

 
   

(0.106)

 

DPOP

   

− 13.669

    

(10.990)

LLC test

− 9.239

− 8.740

− 8.993

− 8.484

Kao test

− 3.793

− 4.707

− 5.747

− 5.167

Obs.

181

181

174

174

  1. Notes: See Table 1 for the definitions of the variables. Panel DOLS estimates in (1)–(4): all FE estimator regressions include country-specific and time-specific dummy variables as well as first differences of each explanatory variable (1 lead/lag). Sample period 1984-2008. Country sample (Appendix 1.1): sample (ii). The productivity data stem from the PDBi. Robust standard errors proposed by Driscoll and Kraay (1998) are reported in parentheses. LLC test: Cointegration test following MacDonald and Ricci (2007): t statistic of Levin et al. (2002) (lag length selection by SIC; Bartlett kernel, Newey-West bandwidth). Kao test: cointegration test proposed by Kao (1999): t statistic (lag length selection by SIC; Bartlett kernel, Newey-West bandwidth). *, **, and *** denote significance at the 10%, 5%, and 1% levels, respectivel