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(1)

Defense:

Estimating certainty, risk and

time effects on the expected

utility for energy contracts

(2)

Focus of study

More research needed into how consumers form expected utilities

- Uncertainty about knowledge

- Risk aversion

- Decisions over time

Which method captures these effects in a better way?

-

Conjoint analysis with stated choices

-

Conjoint analysis with elicited probabilities

Empirically applied to Dutch market for consumer gas contracts

-

Liberalization energymarket has increased choice complexity

-

Complexity makes preference predictions more difficult

(3)

H1: The conjoint analysis with elicited probabilities has greater statistical significance than the conjoint analysis with stated choices

H2: The discounting of utility over time will be hyperbolic in nature. H3: Risk averse consumers will prefer fixed tariff contracts that are (A) relatively short and (B) larger welcoming presents

H4: Consumers who are uncertain about the development of energy prices will prefer fixed tariff contracts that are (A) relatively short (1 or 2 years) and (B) larger welcoming presents.

H5: Risk averse consumers will prefer higher fixed supply costs under the condition that this leads to a decline in the pay per use tariff.

H6: Consumers who are uncertain about their usage of energy will prefer higher base rates under the condition that this leads to a decline in the pay per use tariff.

H7: If a risk indifferent consumer expects energy prices to drop they will have a preference for (A) contracts with variable tariffs without contract duration and (B) low welcoming presents.

H8: If a consumer feels certain about his expectation for energy prices to drop they will have a preference for (A) contracts with variable tariffs without contract duration and (B) low welcoming presents.

(4)

Results

Descriptives of Covariates

Minimum Maximum Mean

General risk

0

100

57.56

Risky products

0

99

29.07

Ability to make decisions

0

100

58.81

Knowledge about prices

0

100

32.50

Aware of energy usage

0

100

50.01

Knowledge about usage

0

100

47.27

Energy prices rising

0

100

55.79

Energy prices stay the same

0

88

39.32

Switch every year

0

100

24.18

(5)

Stated Choices vs. Elicited probabilties

Best performing choice model Best performing probability model

Percentage Certainty

.873

.264

Root Likelihood (estimation)

.815

.306

Root Likelihood (average)

.827

.354

AIC

340.189

1808.45

BIC

385.627

1853.888

Average variance

28.108

1.513

(6)

Making decisions over time

T-test

Choice Model

Probability Model

Slope between one and two year 1.594

1.023

Slope between four and six year

2.633

.448

(7)
(8)

Making decisions with risk

Consumers who are risk averse have

an increased utility for:

-

Short contracts

-

Higher welcoming presents

Description of clusters Cluster 1

Cluster 2

Certainty

.442

-.605

Risk Taking

.504

-.353

Churning

.226

-.151

Price Development

-.254

.199

(9)

Discussion of findings

• Choice models perform better than probability models

• Probability models give more rich data

• Probability models ad complexity to choice task

• Find balance between Richness of data and complexity of choice tasks

• Hyperbolic discounting

• Presence of this effect differs based on the measurement method

• Uncertainty and Risk

• No indication found that these to constructs effect utility in different ways

• Size of the effect of Risk aversion is larger than size of the effect of uncertainty

• Uncertainty affects measurement

(10)

Implications

Risk and time affect the choices consumers make

Uncertainty affects how consumers make choices

Their should be a balance between

- Choice complexity

- Complexity of questionaire method

(11)

Shortcomings

• Too few respondents (163 vs. 1350)

• Sample does not reflect population

(12)

The End

(13)

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