Characteristics of respondents with entrepreneurial attitude
| Gender | Number | Percent |
|---|---|---|
| Men | 1,127 | 53.19 |
| Women | 992 | 46.81 |
| Age | ||
| 18–23 | 766 | 36.15 |
| 24–29 | 700 | 33.03 |
| 29–34 | 653 | 30.82 |
| Live with Parents | ||
| Yes | 1,110 | 52.38 |
| No | 1,009 | 47.62 |
| Geographical residence | ||
| North | 873 | 41.20 |
| Centre | 418 | 19.73 |
| South and islands | 828 | 39.07 |
| Municipal size | ||
| Large or medium city | 538 | 25.39 |
| Provincial or rural area | 518 | 24.45 |
| Village or small municipality | 1,063 | 50.16 |
| Education | ||
| Graduated university | 539 | 25.44 |
| High school | 1,343 | 63.38 |
| Less than high school | 237 | 11.18 |
| Profession | ||
| Student | 676 | 31.90 |
| Worker | 1,300 | 61.35 |
| Unemployed | 143 | 6.75 |
| Wealth | ||
| High wealth | 403 | 19.02 |
| Medium wealth | 1,275 | 60.17 |
| Low wealth | 441 | 20.81 |
Logit model of entrepreneurship – alternative measure for digitalization
| Financial literacy | 0.265*** (0.0394) |
| Digital literacy | 0.237*** (0.0359) |
| Controls | Yes |
| Observations | 5,372 |
Post matching regression model of entrepreneurship
| Financial literacy | 0.252*** (0.0462) |
| Digitalization | 0.245*** (0.0296) |
| Controls | Yes |
| Observations | 4,084 |
Logit model of entrepreneurship – self assessments for financial literacy and digitalization
| Self-financial literacy | 0.009*** (0.0032) |
| Self-digitalization | 0.0238*** (0.0033) |
| Controls | Yes |
| Observations | 5,372 |
Baseline logit model of entrepreneurship
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| Financial literacy | 0.191*** (0.0367) | 0.238*** (0.0370) | 0.271*** (0.0377) | 0.261*** (0.0382) |
| Digitalization | 0.218*** (0.0253) | 0.234*** (0.0251) | 0.233*** (0.0250) | 0.230*** (0.0253) |
| Male | 0.0327** (0.0132) | 0.032** (0.0131) | 0.033** (0.0133) | |
| University | -0.120*** (0.0243) | -0.118*** (0.0244) | -0.125*** (0.0249) | |
| High school | -0.022 (0.0221) | -0.023 (0.0221) | -0.026 (0.0224) | |
| Age | -0.007*** (0.0015) | -0.008*** (0.0015) | -0.007*** (0.0017) | |
| Parents | 0.002 (0.0144) | -0.009 (0.0145) | -0.011 (0.0148) | |
| North | -0.074*** (0.0150) | -0.074*** (0.0151) | ||
| Centre | -0.025 (0.0184) | -0.025 (0.0184) | ||
| City | -0.005 (0.0160) | -0.007 (0.0160) | ||
| Provincial | 0.004 (0.0164) | 0.004 (0.0165) | ||
| Student | 0.031 (0.0196) | |||
| Worker | 0.008 (0.0174) | |||
| High wealth | 0.0227 (0.0214) | |||
| Medium wealth | 0.0113 (0.0168) | |||
| Observations | 5,372 | 5,372 | 5,372 | 5,372 |
Summary statistics for financial literacy and digitalization
| N | Mean | SD | Min | Max | |
|---|---|---|---|---|---|
| Financial Literacy | 5,372 | 0.55 | 0.18 | 0.00 | 1.00 |
| Digitalization | 5,372 | 0.65 | 0.27 | 0.00 | 1.00 |
Logit model of entrepreneurship – current entrepreneurs excluded
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| Financial literacy | 0.179*** (0.0368) | 0.231*** (0.0371) | 0.265*** (0.0378) | 0.259*** (0.0384) |
| Digitalization | 0.219*** (0.0255) | 0.239*** (0.0253) | 0.238*** (0.0252) | 0.241*** (0.0254) |
| Individual characteristics | No | Yes | Yes | Yes |
| Location | No | No | Yes | Yes |
| Employment and wealth | No | No | No | Yes |
| Observations | 5,188 | 5,188 | 5,188 | 5,188 |
Logit model of entrepreneurship – alternative measures for financial literacy
| (1) | (2) | (3) | |
|---|---|---|---|
| Financial knowledge | 0.0933*** (0.0276) | ||
| Financial behavior | 0.267*** (0.0341) | ||
| Big Three | 0.054** (0.0210) | ||
| Digitalization | 0.261*** (0.0246) | 0.224*** (0.0251) | 0.265*** (0.0246) |
| Controls | Yes | Yes | Yes |
| Observations | 5,372 | 5,372 | 5,372 |
Sample composition
| Gender | Number | Percent |
|---|---|---|
| Men | 2,625 | 48.86 |
| Women | 2,747 | 51.14 |
| Age | ||
| 18–23 | 1,727 | ;32.15 |
| 24–29 | 1,830 | 34.06 |
| 29–34 | 1,815 | 33.79 |
| Live with Parents | ||
| Yes | 2,708 | 50.41 |
| No | 2,664 | 49.59 |
| Geographical residence | ||
| North | 2,368 | 44.08 |
| Centre | 1,039 | 19.34 |
| South and islands | 1,965 | 36.58 |
| Municipal size | ||
| Large or medium city | 1,387 | 25.82 |
| Provincial or rural area | 1,280 | 23.83 |
| Village or small municipality | 2,705 | 50.35 |
| Education | ||
| Graduated university | 1,645 | 30.63 |
| High school | 3,145 | 58.54 |
| Less than high school | 582 | 10.83 |
| Profession | ||
| Student | 1,538 | 28.63 |
| Worker | 3,319 | 61.78 |
| Unemployed | 515 | 9.59 |
| Wealth | ||
| High wealth | 975 | 18.15 |
| Medium wealth | 3,177 | 59.14 |
| Low wealth | 1,220 | 22.71 |