This paper re-examines Lilien’s sectoral shifts hypothesis for U.S. unemployment. We employ a monthly panel that spans from 1990:01 to 2011:12 for 48 U.S. states. Panel unit root tests that allow for cross-sectional dependence reveal the stationarity of unemployment. Within a framework that takes into account dynamics, parameter heterogeneity and cross-sectional dependence in the panel, we show that sectoral reallocation is significant not only at the aggregate level but also at the state level. The magnitude and the statistical significance of the latter as measured by Lilien’s index increases when both heterogeneity and cross-sectional dependence are taken into account
This study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regression es...
The business cycle in the United States has changed in fundamental ways in the last three decades. A...
A model of sectoral reallocation is constructed where intersectoral friction is not caused by search...
This article revisits the sectoral shifts hypothesis by examining unemployment fluctuations for 48 U...
This paper revisits the sectoral shifts hypothesis by examining unemployment fluctuations for 48 U.S...
This paper re-examines Lilien’s sectoral shifts hypothesis for U.S. unemployment. We employ a monthl...
This paper re-examines Lilien’s sectoral shifts hypothesis for U.S. unemployment. We employ a monthl...
This study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regression es...
We explore the macroeconomic effects of sectoral shifts for 15 European countries. An exten-sive pan...
open2noThis paper appraises the literature on the macroeconomic effects of job reallocations. We ove...
This study revisits the sectoral shifts hypothesis for the US for the period 1948 to 2011. A quantil...
This paper presents further evidence on the importance of sectoral shifts by examining unemployment ...
We explore the macroeconomic effects of sectoral shifts for a set of 15 European countries. An exten...
open2siThis study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regres...
This dissertation examines the hypothesis that the dispersion of both employment and output growth r...
This study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regression es...
The business cycle in the United States has changed in fundamental ways in the last three decades. A...
A model of sectoral reallocation is constructed where intersectoral friction is not caused by search...
This article revisits the sectoral shifts hypothesis by examining unemployment fluctuations for 48 U...
This paper revisits the sectoral shifts hypothesis by examining unemployment fluctuations for 48 U.S...
This paper re-examines Lilien’s sectoral shifts hypothesis for U.S. unemployment. We employ a monthl...
This paper re-examines Lilien’s sectoral shifts hypothesis for U.S. unemployment. We employ a monthl...
This study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regression es...
We explore the macroeconomic effects of sectoral shifts for 15 European countries. An exten-sive pan...
open2noThis paper appraises the literature on the macroeconomic effects of job reallocations. We ove...
This study revisits the sectoral shifts hypothesis for the US for the period 1948 to 2011. A quantil...
This paper presents further evidence on the importance of sectoral shifts by examining unemployment ...
We explore the macroeconomic effects of sectoral shifts for a set of 15 European countries. An exten...
open2siThis study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regres...
This dissertation examines the hypothesis that the dispersion of both employment and output growth r...
This study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regression es...
The business cycle in the United States has changed in fundamental ways in the last three decades. A...
A model of sectoral reallocation is constructed where intersectoral friction is not caused by search...