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Table 6 Nonresponse analysis: results of multi-level logit models (nonresponse = 1) for German firms

From: Unit nonresponse at the firm level: a cross-border analysis using the IAB-ReLOC data

 

1

2

3

AME

AME

AME

Firm characteristics

 No. of employees 2010 (ref.: 50–99):

  1–5

− 0.0679***

− 0.0704***

− 0.0750***

  6–9

− 0.0608**

− 0.0629**

− 0.0662***

  10–19

− 0.0370*

− 0.0392*

− 0.0404*

  20–49

− 0.0207

− 0.0224

− 0.0238

  100–199

0.0133

0.0136

0.0131

  200–499

0.0294**

0.0309**

0.0294**

  500–999

0.0382*

0.0399*

0.0390*

  1000+

0.0375

0.0404

0.0424

 Firm in BHP 1975 (yes = 1)

0.0221

0.0243

0.0387

 Firm age (in years, ln)

0.0078

0.0080

0.0126

 No. of establishments (ln)

0.0069

0.0072

0.0076

 MNE group (yes = 1)

0.0124

0.0163

0.1237***

 Distance to Czech border (in km, ln)

0.0324**

0.0382**

0.0387**

 Border region Germany (yes = 1)

0.0213

0.0297

0.0317

Interviewer characteristics

 Male (yes = 1)

 

− 0.0013

− 0.0009

 Interviewer age (in years)

 

− 0.0032***

− 0.0032***

 Education level (ref.: high)

  Low

 

0.0216

0.0220

  Medium

 

0.0668***

0.0666***

 No. of assigned firms

 

− 0.0008***

− 0.0008***

FDI characteristics

 Equity share (ln)

  

− 0.0059

 Direct investment (yes = 1)

  

− 0.0700***

 Duration of investment (in years, ln)

  

− 0.0350***

 Border region Czech Republic (yes = 1)

  

− 0.0277

Random part: intercept variance (\(\zeta_{j}\))

1.2088***

1.0630***

1.0760***

ICC

0.2687

0.2442

0.2465

No. of observations

7264

7264

7264

Log likelihood

− 3143.4866

− 3125.9509

− 3115.4869

  1. AME average marginal effect
  2. Significance level: * < 0.1, ** < 0.05, *** < 0.01. Control variables for industry affiliation included. The explanatory variables referring to FDI features are modelled as interactions by assigning them the value of 0 in case of non-MNEs