| . | H-WTP1 . | H-WTP2 . | ||
|---|---|---|---|---|
| . | (1) . | (2) . | (3) . | (4) . |
| Quality-medium | 20.1*** (2.1) | 18.6*** (1.8) | 30.1*** (3.0) | 29.3*** (3.7) |
| Quality-high | 53.7*** (5.0) | 58.6*** (8.5) | 72.0*** (6.3) | 72.1*** (8.0) |
| Trust | −1.8 (1.2) | −2.5 (2.7) | ||
| Socio-economic controls | No | Yes | No | Yes |
| Booth fixed effects | Yes | Yes | Yes | Yes |
| Constant | 2.3 (6.5) | −1.1 (5.7) | 3.1 (6.7) | 3.6 (6.8) |
| . | H-WTP1 . | H-WTP2 . | ||
|---|---|---|---|---|
| . | (1) . | (2) . | (3) . | (4) . |
| Quality-medium | 20.1*** (2.1) | 18.6*** (1.8) | 30.1*** (3.0) | 29.3*** (3.7) |
| Quality-high | 53.7*** (5.0) | 58.6*** (8.5) | 72.0*** (6.3) | 72.1*** (8.0) |
| Trust | −1.8 (1.2) | −2.5 (2.7) | ||
| Socio-economic controls | No | Yes | No | Yes |
| Booth fixed effects | Yes | Yes | Yes | Yes |
| Constant | 2.3 (6.5) | −1.1 (5.7) | 3.1 (6.7) | 3.6 (6.8) |
Notes: Columns (1) and (2) explain variation in hypothetical willingness-to-pay (WTP) for quality assessment and certification 2 weeks in the future. Columns (3) and (4) do the same for a time lag of 1 year. Columns (1)–(4) are based on the full sample of farmers on Day 2. Quality-medium and Quality-high are binary variables indicating that the farmer supplied wheat of medium or high quality, respectively. Trust is a binary variable reflecting whether the farmer trusts the weighing scale applied by traders. Controls are listed in Table 1. Models are estimated with standard errors clustered at the booth (market) level. Columns (1)–(4) are OLS models.
indicates p < 0.01
| . | H-WTP1 . | H-WTP2 . | ||
|---|---|---|---|---|
| . | (1) . | (2) . | (3) . | (4) . |
| Quality-medium | 20.1*** (2.1) | 18.6*** (1.8) | 30.1*** (3.0) | 29.3*** (3.7) |
| Quality-high | 53.7*** (5.0) | 58.6*** (8.5) | 72.0*** (6.3) | 72.1*** (8.0) |
| Trust | −1.8 (1.2) | −2.5 (2.7) | ||
| Socio-economic controls | No | Yes | No | Yes |
| Booth fixed effects | Yes | Yes | Yes | Yes |
| Constant | 2.3 (6.5) | −1.1 (5.7) | 3.1 (6.7) | 3.6 (6.8) |
| . | H-WTP1 . | H-WTP2 . | ||
|---|---|---|---|---|
| . | (1) . | (2) . | (3) . | (4) . |
| Quality-medium | 20.1*** (2.1) | 18.6*** (1.8) | 30.1*** (3.0) | 29.3*** (3.7) |
| Quality-high | 53.7*** (5.0) | 58.6*** (8.5) | 72.0*** (6.3) | 72.1*** (8.0) |
| Trust | −1.8 (1.2) | −2.5 (2.7) | ||
| Socio-economic controls | No | Yes | No | Yes |
| Booth fixed effects | Yes | Yes | Yes | Yes |
| Constant | 2.3 (6.5) | −1.1 (5.7) | 3.1 (6.7) | 3.6 (6.8) |
Notes: Columns (1) and (2) explain variation in hypothetical willingness-to-pay (WTP) for quality assessment and certification 2 weeks in the future. Columns (3) and (4) do the same for a time lag of 1 year. Columns (1)–(4) are based on the full sample of farmers on Day 2. Quality-medium and Quality-high are binary variables indicating that the farmer supplied wheat of medium or high quality, respectively. Trust is a binary variable reflecting whether the farmer trusts the weighing scale applied by traders. Controls are listed in Table 1. Models are estimated with standard errors clustered at the booth (market) level. Columns (1)–(4) are OLS models.
indicates p < 0.01
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