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Sophisticated Learning and Learning Sophistication

Stahl, Dale O. - 2003

We test the population rule learning model for symmetric normal-form games, and strongly reject: (i) no rule learning, (ii) no diversity, and (iii) no sophisticated evidence. Further, trembles and herd behavior decline and level-2 behavior increases over time

Persistent link: https://www.econbiz.de/10014084426

Analyzing the Time between Trades with a Gamma Compounded Hazard Model. An Application to LIFFE Bund Future Transactions

Hautsch, Nikolaus - 1999

This paper investigates the time between transactions on financial markets. It is assumed that the interval between transactions is a random variable and the relation- ship between the probability to observe a transaction at each instant of time and the type of the previous trade is...

Persistent link: https://www.econbiz.de/10010324096

Nonparametric tests for treatment effect heterogeneity

Crump, Richard K.; Hotz, V. Joseph; Imbens, Guido W.; … - 2006

A large part of the recent literature on program evaluation has focused on estimation of the average effect of the …

Persistent link: https://www.econbiz.de/10010267658

Is there a Superior Distance Function for Matching in Small Samples?

Dettmann, Eva; Becker, Claudia; Schmeißer, Christian - 2010

evaluation studies. The focus is on the first step of the matching procedure, the choice of an appropriate distance function …. Supplementary to most former studies, the simulation is strongly based on empirical evaluation situations. This reality orientation … empirical evaluation are included. The matching outcomes are compared using non-parametrical scale-specific tests for identical …

Persistent link: https://www.econbiz.de/10010271409

Social experimentation and economic policy

Ferber, Robert - 1982

Persistent link: https://www.econbiz.de/10013493292

The usefulness of experiments

Smith, Jeffrey A. - In: IZA World of Labor (2018)

Non-experimental evaluations of programs compare individuals who choose to participate in a program to individuals who do not. Such comparisons run the risk of conflating non-random selection into the program with its causal effects. By randomly assigning individuals to participate in the...

Persistent link: https://www.econbiz.de/10011873689

Accounting for dropouts in evaluations of social experiments

Heckman, James J.; Smith, Jeffrey A.; Taber, Christopher - 1994

Persistent link: https://www.econbiz.de/10000934892

Accounting for Dropouts in Evaluations of Social Experiments

Heckman, James J.; Smith, Jeffrey A.; Taber, Christopher - 2021

experiment base vindicates application of Bloom's method in this context …

Persistent link: https://www.econbiz.de/10013223352

Accounting for Dropouts in Evaluations of Social Experiments

Heckman, James - 1994

experiment base vindicates application of Bloom's method in this context …

Persistent link: https://www.econbiz.de/10012474066

Chapter 59 Evaluating Anti-Poverty Programs

Ravallion, Martin - In: Handbook of development economics : volume 4, (pp. 3787-3846). 2007

The chapter critically reviews the methods available for the ex post counterfactual analysis of programs that are assigned exclusively to individuals, households or locations. The emphasis is on the problems encountered in applying these methods to anti-poverty programs in developing countries,...

Persistent link: https://www.econbiz.de/10014024661