Recent developments in behavioural economics have deeply influenced the way governments design public policies. They give citizens access to online simulators to cope with tax and benefits systems and increasingly rely on nudges to guide individual decisions. The recent surge of interest in Behavioural Public Finance is grounded on the conviction that a better understanding of individual behaviours could improve predictions of tax revenue and help design better-suited incentives to save for retirement, search for a new job, go to school or seek medical attention. Through a presentation of the most recent developments in Behavioural Public Finance, this Element discusses the way Behavioural Economics has improved our understanding of fiscal policies.

The branch of psychology that studies how physical objects are perceived by subjects is known as psychophysics. A feature of the experimental design is that the experimenter presents objectively measurable objects that are imperfectly perceived by subjects. The responses are stochastic in that a subject might respond differently in otherwise identical situations. These stochastic choices can be compared to the objectively measurable properties. This Element offers a brief introduction to the topic, explains how psychophysics insights are already present in economics, and describes experimental techniques with the goal that they are useful in the design of economics experiments. Noise is a ubiquitous feature of experimental economics and there is a large strand of economics literature that carefully considers the noise. However, the authors view the psychophysics experimental techniques as uniquely suited to helping experimental economists uncover what is hiding in the noise.

Amidst concerns about replicability but also thanks to the professionalisation of labs, the rise of pre-registration, the switch to online experiments, and enhanced computational power, experimental economics is undergoing rapid changes. They all call for efficient designs and data analysis, that is, they require that, given the constraints on participants' time, experiments provide as rich information as possible. In this Element the authors explore some ways in which this goal may be reached.

Behavioral economics provides a rich set of explicit models of non-classical preferences and belief formation which can be used to estimate structural models of decision making. At the same time, experimental approaches allow the researcher to exogenously vary components of the decision making environment. The synergies between behavioral and experimental economics provide a natural setting for the estimation of structural models. This Element will cover examples supporting the following arguments 1) Experimental data allows the researcher to estimate structural models under weaker assumptions and can simplify their estimation, 2) many popular models in behavioral economics can be estimated without any programming skills using existing software, 3) experimental methods are useful to validate structural models. This Element aims to facilitate adoption of structural modelling by providing Stata codes to replicate some of the empirical illustrations that are presented. Examples covered include estimation of outcome-based preferences, belief-dependent preferences and risk preferences.

The branch of psychology that studies how physical objects are perceived by subjects is known as psychophysics. A feature of the experimental design is that the experimenter presents objectively measurable objects that are imperfectly perceived by subjects. The responses are stochastic in that a subject might respond differently in otherwise identical situations. These stochastic choices can be compared to the objectively measurable properties. This Element offers a brief introduction to the topic, explains how psychophysics insights are already present in economics, and describes experimental techniques with the goal that they are useful in the design of economics experiments. Noise is a ubiquitous feature of experimental economics and there is a large strand of economics literature that carefully considers the noise. However, the authors view the psychophysics experimental techniques as uniquely suited to helping experimental economists uncover what is hiding in the noise.

Recent developments in behavioural economics have deeply influenced the way governments design public policies. They give citizens access to online simulators to cope with tax and benefits systems and increasingly rely on nudges to guide individual decisions. The recent surge of interest in Behavioural Public Finance is grounded on the conviction that a better understanding of individual behaviours could improve predictions of tax revenue and help design better-suited incentives to save for retirement, search for a new job, go to school or seek medical attention. Through a presentation of the most recent developments in Behavioural Public Finance, this Element discusses the way Behavioural Economics has improved our understanding of fiscal policies.

The branch of psychology that studies how physical objects are perceived by subjects is known as psychophysics. A feature of the experimental design is that the experimenter presents objectively measurable objects that are imperfectly perceived by subjects. The responses are stochastic in that a subject might respond differently in otherwise identical situations. These stochastic choices can be compared to the objectively measurable properties. This Element offers a brief introduction to the topic, explains how psychophysics insights are already present in economics, and describes experimental techniques with the goal that they are useful in the design of economics experiments. Noise is a ubiquitous feature of experimental economics and there is a large strand of economics literature that carefully considers the noise. However, the authors view the psychophysics experimental techniques as uniquely suited to helping experimental economists uncover what is hiding in the noise.

Amidst concerns about replicability but also thanks to the professionalisation of labs, the rise of pre-registration, the switch to online experiments, and enhanced computational power, experimental economics is undergoing rapid changes. They all call for efficient designs and data analysis, that is, they require that, given the constraints on participants' time, experiments provide as rich information as possible. In this Element the authors explore some ways in which this goal may be reached.

Behavioral economics provides a rich set of explicit models of non-classical preferences and belief formation which can be used to estimate structural models of decision making. At the same time, experimental approaches allow the researcher to exogenously vary components of the decision making environment. The synergies between behavioral and experimental economics provide a natural setting for the estimation of structural models. This Element will cover examples supporting the following arguments 1) Experimental data allows the researcher to estimate structural models under weaker assumptions and can simplify their estimation, 2) many popular models in behavioral economics can be estimated without any programming skills using existing software, 3) experimental methods are useful to validate structural models. This Element aims to facilitate adoption of structural modelling by providing Stata codes to replicate some of the empirical illustrations that are presented. Examples covered include estimation of outcome-based preferences, belief-dependent preferences and risk preferences.

The branch of psychology that studies how physical objects are perceived by subjects is known as psychophysics. A feature of the experimental design is that the experimenter presents objectively measurable objects that are imperfectly perceived by subjects. The responses are stochastic in that a subject might respond differently in otherwise identical situations. These stochastic choices can be compared to the objectively measurable properties. This Element offers a brief introduction to the topic, explains how psychophysics insights are already present in economics, and describes experimental techniques with the goal that they are useful in the design of economics experiments. Noise is a ubiquitous feature of experimental economics and there is a large strand of economics literature that carefully considers the noise. However, the authors view the psychophysics experimental techniques as uniquely suited to helping experimental economists uncover what is hiding in the noise.