Table A4

Robustness check of different combinations of types of sanction – cross-border M&A

(1)(2)(3)(4)(5)(6)
VariablesMerger
Arms0.3950.3860.5420.289 0.161
(0.406)(0.408)(0.434)(0.458) (0.459)
Military-0.885***-0.884***-0.882***-0.600***-0.858*** 
(0.231)(0.232)(0.232)(0.190)(0.224) 
Trade-0.706***-0.722***-0.710*** -0.663***-0.295***
(0.210)(0.203)(0.202) (0.199)(0.158)
Financial 0.1730.214-0.0100.1470.162
 (0.362)(0.350)(0.367)(0.352)(0.362)
Travel  -0.459-0.0770.129-0.093
  (0.419)(0.442)(0.418)(0.441)
Other   -0.926**-0.924**-0.795*
   (0.434)(0.427)(0.429)
Unemployment_ratio-3.089-3.145-3.150-4.421*-3.385-4.264*
(2.230)(2.234)(2.229)(2.254)(2.233)(2.235)
Bank_branch-0.692-0.740-0.753-0.717-0.746-0.807
(1.145)(1.140)(1.138)(1.106)(1.123)(1.101)
Openess0.6530.6610.6400.5430.6460.652
(0.470)(0.471)(0.473)(0.473)(0.468)(0.471)
Government_size2.2142.1972.6173.5152.5744.613
(4.374)(4.378)(4.452)(4.449)(4.404)(4.430)
Population_density0.191***0.191***0.190***0.186***0.189***0.151**
(0.063)(0.063)(0.063)(0.061)(0.062)(0.059)
Constant5.395***5.381***5.348***5.153***5.379***4.988***
(0.999)(1.001)(1.012)(0.999)(0.999)(0.979)
Observations1,0401,0401,0401,0401,0401,040
R-squared0.7760.7770.7770.7750.7770.773
Country FEsYESYESYESYESYESYES
Year FEsYESYESYESYESYESYES

Note(s): Robust standard errors in parentheses

***p < 0.01, **p < 0.05, *p < 0.1

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