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Table 9 Nonresponse analysis: results of multi-level logit model (nonresponse = 1) for German firms—estimated coefficients

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

 

1

2

3

Coefficients

Coefficients

Coefficients

Firm characteristics

 No. of employees 2010 (ref.: 50-99):

  1–5

− 0.5069***

− 0.5003***

− 0.5337***

  6–9

− 0.4588***

− 0.4509***

− 0.4768***

  10–19

− 0.2903*

− 0.2907*

− 0.3018**

  20–49

− 0.1673

− 0.1708

− 0.1828

  100–199

0.1151

0.1106

0.1074

  200–499

0.2656**

0.2608**

0.2496**

  500–999

0.3524*

0.3439*

0.3389*

  1000+

0.3460

0.3487

0.3715

 Firm in BHP 1975 (yes = 1)

0.1872

0.1935

0.3114

 Firm age (in years, ln)

0.0653

0.0635

0.1003

 No. of establishments (ln)

0.0576

0.0572

0.0603

 MNE group (yes = 1)

0.1055

0.1311

1.1194***

 Distance to Czech border (in km, ln)

0.2719**

0.3019**

0.3073**

 Border region Germany (yes = 1)

0.1853

0.2458

0.2650

Interviewer characteristics

 Male (yes = 1)

 

− 0.0103

− 0.0073

 Interviewer age (in years)

 

0.0900**

0.0871**

 Interviewer age (in years) squared

 

− 0.0009***

− 0.0009***

 Education level (ref.: high)

  Low

 

0.1626

0.1663

  Medium

 

0.5490***

0.5496***

 No. of assigned firms

 

− 0.0067***

− 0.0066***

FDI characteristics

 Equity share (ln)

  

− 0.0465

 Direct investment (yes = 1)

  

− 0.5164***

 Duration of investment (in years, ln)

  

− 0.2783***

 Border region Czech Republic (yes = 1)

  

− 0.2117

 Const.

− 0.5136

− 2.6392**

− 2.6957**

Random part: intercept variance (ζi)

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. 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