Nichel Gonzalez

Nichel Gonzalez


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Arbetar vid Psykologiska institutionen
Telefon 08-16 28 79
Besöksadress Frescati hagväg 14
Rum 225
Postadress Psykologiska institutionen 106 91 Stockholm

Om mig


Mitt främsta forskningsområde är beteendeekonomi. För min kommande avhandling undersöker jag hur ränteinformation påverkar långsiktiga investeringsbeslut med fokus på olika individuella strategier. I dessa studier fokuserar jag även på bedömningar av ackumulerat värde som följd av olika räntor.

Jag har även intresserat mig för beslutsfattandeforskning som rör trafik, produktion och medicinska beslut. I denna forskning ligger fokus på systematiska felslut, individuella bedömningsstrategier och justering av egna minnen för att stötta sitt beslut.



  • Beslutsfattande
  • Statistik


I urval från Stockholms universitets publikationsdatabas
  • 2017. Nichel Gonzalez. Journal of Behavioral and Experimental Finance 15, 59-65

    This study investigated how accumulating gains and losses, described as annual interest rates, influenced investment behavior. Investments after gains were on average greater than after losses regardless of the gain and loss interest rates. However, greater variance of interest rates gave some weight to that variable for gains but not for losses. We also analyzed the influence from different information cues on each participant’s investments. This revealed that interest rates influenced participants very differently, some invested more with increasing gains, or with increasing losses, while others invested less. This finding explained why interest rate was a weak predictor on the group level. Furthermore, our individual analyses showed an increased sensitivity to interest rates and judged future asset accumulations when the interest rate variance was greater. Finally, subjective reports of the importance of different cues for the participants’ own investments showed only some understanding of the cues influence on the investments.

  • 2014. Nichel Gonzalez, Ola Svenson. Polish Psychological Bulletin 45 (1), 29-35

    Previous research showed that accumulations of capital following stationary interest rates are underestimated byhuman judges. Hyperbolic discounting was suggested as a descriptive and explanatory model for this phenomenon. First,we investigated judged accumulated capital after a period of annual growth and decline. The degree of underestimationincreased with accumulated growth and the results supported hyperbolic discounting as a descriptive model on the grouplevel. However, the hyperbolic model did not apply to the data for one third of the participants. Second, we investigatedhow investment decisions were related to capital accumulation before the investments and to judgments of the possibleoutcomes of the future investments. To our surprise, the participants’ judgments of expected future accumulated capitaldid not add predictive power to predictions based on whether there was growth or decline before the investment decision.Unfortunately this strategy leads to suboptimal investment decisions.

  • 2014. Ola Svenson, Nichel Gonzalez, Gabriella Eriksson. Judgment and decision making 9 (5), 465-478

    Svenson (2011) showed that choices of one of two alternative productivity increases to save production resources (e.g., man-months) were biased. Judgments of resource savings following a speed increase from a low production speed linewere underestimated and following an increase of a high production speed line overestimated. The objective formula for computing savings includes differences between inverse speeds and this is intuitively very problematic for most people.The purpose of the present studies was to explore ways of ameliorating or eliminating the bias. Study 1 was a control study asking participants to increase the production speed of one production line to save the same amount of production resources(man-months) as was saved by a speed increase in a reference line. The increases judged to match the reference alternatives showed the same bias as in the earlier research on choices. In Study 2 the same task and problems were used as in Study 1,but the participants were asked first to judge the resource saving of the reference alternative in a pair of alternatives before they proceeded to the matching task. This weakened the average bias only slightly. In Study 3, the participants were askedto judge the resources saved from each of two successive increases of the same single production line (other than those of the matching task) before they continued to the matching problems. In this way a participant could realize that a secondproduction speed increase from a higher speed (e.g., from 40 to 60 items /man-month) gives less resource savings than the same speed increase from a first lower speed (e.g., from 20 to 40 items/man-month. Following this, the judgments of thesame problems as in the other studies improved and the bias decreased significantly but it did not disappear. To be able to make optimal decisions about productivity increases, people need information about the bias and/or reformulations of the problems.

  • 2012. Ola Svenson, Gabriella Eriksson, Nichel Gonzalez. Accident Analysis and Prevention 45, 487-492

    The purpose of speed limits is to keep driving speed low enough for drivers to be able to pay attention to relevant information and timely execute maneuvers so that the car can be driven in a safe way and stopped in time. If a driver violates a speed limit or drives too fast she or he will not be able to stop as quickly as from a slower speed. We asked participants to imagine that they themselves had driven a car outside a school at a speed of 30 km/h when a child suddenly had rushed into the street. From this speed it was possible to stop the car just in front of the child after braking as quickly and forcefully as possible. We then asked the participants to imagine that they drove the same street at a higher speed of 50 km/h and the child appeared at the same place as before. At what speed would the car hit the child after braking in the same way as before? This kind of problems were presented in three studies and the results showed that the judged speeds of collision were always underestimated in different hypothetical driving context scenarios by judges differing in numerical skills. This indicates an overly optimistic view on the possibilities to reduce speed quickly if the driving speed is too fast, which is an important component of attitudes towards speed limits, their legitimacy and recommended driving speeds. Further implications of the results were discussed last.

Visa alla publikationer av Nichel Gonzalez vid Stockholms universitet

Senast uppdaterad: 22 februari 2018

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