Over the past few years, there has been a steadily increasing interest on the part of economists in happiness research. We argue that reported subjective well-being is a satisfactory empirical approximation to individual utility and that happiness research is able to contribute important insights for economics. We report how the economic variables income, unemployment and inflation affect happiness as well as how institutional factors, in particular the type of democracy and the extent of government decentralization, systematically influence how satisfied individuals are with their life. We discuss some of the consequences for economic policy and for economic theory.

What Can Economists Learn from Happiness Research

which the relationships are not exact, so that a set of ideal economic variables is assumed to be generated by a set of dynamic stochastic relationships, as in Koopmans [12], and the actual economic time series are assumed to differ from the ideal economic variables because of random disturbances or measurement errors. The asymptotic error variance matrix for the coefficients of one of the relationships is obtained in the case in which these relationships are estimated using instrumental variables. With this variance matrix we are able to discuss the problem of choice that arises when there are more instrumental variables available than the minimum number required to enable the method to be used. A method of estimation is derived which involves a characteristic equation already considered by Hotelling in defining the canonical correlation [10]. This method was previously suggested by Durbin [7]. The same estimates would be obtained by the maximum-likelihood limited

https://www.jstor.org/stable/pdfplus/1907619.pdf

The estimation of economic relationships using instrumental variables

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.

 An irreverent review of econometric essentials
 A focus on tools that applied researchers use most
 Chapters on regression-discontinuity designs, quantile regression, and standard errors
 Many empirical examples
 A clear and concise resource with wide applications

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Mostly harmless econometrics

Exact and superlative index numbers

Cointegrated multiple time series share at least one common trend. Two tests are developed for the number of common stochastic trends (i.e., for the order of cointegration) in a multiple time series with and without drift. Both tests involve the roots of the ordinary least squares coefficient matrix obtained by regressing the series onto its first lag. Critical values for the tests are tabulated, and their power is examined in a Monte Carlo study. Economic time series are often modeled as having a unit root in their autoregressive representation, or (equivalently) as containing a stochastic trend. But both casual observation and economic theory suggest that many series might contain the same stochastic trends so that they are cointegrated. If each of n series is integrated of order 1 but can be jointly characterized by k > n stochastic trends, then the vector representation of these series has k unit roots and n — k distinct stationary linear combinations. Our proposed tests can be viewed alterna...

/pdf/testing-for-common-trends-3gx4n84oqk.pdf

Ragnar Frisch

Papers

Propagation problems and impulse problems in dynamic economics

A Complete Scheme for Computing all Direct and Cross Demand Elasticities in a Model with many Factors

Partial Time Regressions as Compared with Individual Trends

Theory of Production

Statistical confluence analysis by means of complete regression systems