RePEc Working Paper Series: No: 56/2010The paper discusses a range of modern time series methods that have become popular in the past 20 years and considers their usefulness for cliometrics research both in theory and via a range of applications. Issues such as, spurious regression, unit roots, cointegration, persistence, causality, structural time series methods, including time varying parameter models, are introduced as are the estimation and testing implications that they involve. Applications include a discussion of the timing and potential causes of the British Industrial Revolution, income 'convergence' and the long run behaviour of English Real Wages 1264 – 1913. Finally some new and potentially useful developments are discussed incl...
'Dieser Artikel fasst ein neues ökonometrisches Verfahren für wirtschaftshistorische (kliometrische)...
This book presents the principles and methods for the practical analysis and prediction of economic ...
Applied economists working with time series data face a dilemma in selecting between models with det...
The paper discusses a range of modern time series methods that have become popular in the past 20 ye...
Cliometrics reconnected economic history and economics in the 1960s. The deeper foundations of cliom...
Cliometrics reconnected economic history and economics in the 1960s. The deeper foundations of cliom...
We discuss some challenges presented by trending data in time series econometrics. To the empirical ...
I developed interest in structural time series analysis, which is the subject matter of this book, b...
'Das Ziel dieses Artikels ist relativ bescheiden: einige der neuen kliometrischen Ansichten, die ins...
This paper examines historical data on daily real wages in England for the time period 1260-1994 by ...
"That cliometrics is an indispensable tool in the study of economic history is no longer a very cont...
Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has...
Over the past two decades applied macroeconomics has been transformed by the widespread adoption of ...
This paper examines historical data on daily real wages in England for the time period 1260-1994 by ...
The development of time series techniques associated with non stationary data, such as the testing f...
'Dieser Artikel fasst ein neues ökonometrisches Verfahren für wirtschaftshistorische (kliometrische)...
This book presents the principles and methods for the practical analysis and prediction of economic ...
Applied economists working with time series data face a dilemma in selecting between models with det...
The paper discusses a range of modern time series methods that have become popular in the past 20 ye...
Cliometrics reconnected economic history and economics in the 1960s. The deeper foundations of cliom...
Cliometrics reconnected economic history and economics in the 1960s. The deeper foundations of cliom...
We discuss some challenges presented by trending data in time series econometrics. To the empirical ...
I developed interest in structural time series analysis, which is the subject matter of this book, b...
'Das Ziel dieses Artikels ist relativ bescheiden: einige der neuen kliometrischen Ansichten, die ins...
This paper examines historical data on daily real wages in England for the time period 1260-1994 by ...
"That cliometrics is an indispensable tool in the study of economic history is no longer a very cont...
Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has...
Over the past two decades applied macroeconomics has been transformed by the widespread adoption of ...
This paper examines historical data on daily real wages in England for the time period 1260-1994 by ...
The development of time series techniques associated with non stationary data, such as the testing f...
'Dieser Artikel fasst ein neues ökonometrisches Verfahren für wirtschaftshistorische (kliometrische)...
This book presents the principles and methods for the practical analysis and prediction of economic ...
Applied economists working with time series data face a dilemma in selecting between models with det...