-
1
-
-
78049341599
-
Google econometrics and unemployment forecasting
-
Askitas, N., & Zimmerman, K. F. (2009). Google econometrics and unemployment forecasting. Applied Economics Quarterly, 55(2), 107-120.
-
(2009)
Applied Economics Quarterly
, vol.55
, Issue.2
, pp. 107-120
-
-
Askitas, N.1
Zimmerman, K.F.2
-
4
-
-
0002911196
-
Multiscale nature of spatial data in scaling up environmental models
-
D. A. Quattrochi and M. F. Goodchild (Eds.), London: CRC Press
-
Bian, L. (1997). Multiscale nature of spatial data in scaling up environmental models. In D. A. Quattrochi, & M. F. Goodchild (Eds.), Scale in remote sensing and GIS. London: CRC Press.
-
(1997)
Scale in Remote Sensing and GIS
-
-
Bian, L.1
-
5
-
-
84986409852
-
Econometric models based on count data: comparisons and applications of some estimators and tests
-
Cameron, A. C., & Trivedi, P. K. (1986). Econometric models based on count data: comparisons and applications of some estimators and tests. Journal of Applied Econometrics, 1(1), 29-53.
-
(1986)
Journal of Applied Econometrics
, vol.1
, Issue.1
, pp. 29-53
-
-
Cameron, A.C.1
Trivedi, P.K.2
-
7
-
-
0030525933
-
R-squared measures for count data regression models with applications to health-care utilization
-
Cameron, A. C., & Windmeijer, F. (1996). R-squared measures for count data regression models with applications to health-care utilization. Journal of Business and Economic Statistics, 14(2), 209-220.
-
(1996)
Journal of Business and Economic Statistics
, vol.14
, Issue.2
, pp. 209-220
-
-
Cameron, A.C.1
Windmeijer, F.2
-
10
-
-
0000013567
-
Co-integration and error correction: representation, estimation, and testing
-
Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica, 55(2), 251-276.
-
(1987)
Econometrica
, vol.55
, Issue.2
, pp. 251-276
-
-
Engle, R.F.1
Granger, C.W.J.2
-
11
-
-
47149093590
-
Inflation regimes and inflation expectations
-
Gagnon, J. E. (2008). Inflation regimes and inflation expectations. Federal Reserve Bank of St. Louis Review, 90(3), Part 2.
-
(2008)
Federal Reserve Bank of St. Louis Review
, vol.90
, Issue.3 PART 2
-
-
Gagnon, J.E.1
-
13
-
-
84879794462
-
-
General Notes on the Philadelphia Fed's Real-Time Data Set for Macroeconomists (RTDSM)-Variables from the National Income and Product Accounts, Accessed 11 Nov 2012
-
General Notes on the Philadelphia Fed's Real-Time Data Set for Macroeconomists (RTDSM)-Variables from the National Income and Product Accounts (2011). http://www.philadelphiafed.org/research-and-data/real-time-center/real-time-data/data-files/documentation/gen_doc_NIPA. pdf. Accessed 11 Nov 2012.
-
(2011)
-
-
-
14
-
-
60549098239
-
Detecting influenza epidemics using search engine query data
-
Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., Brilliant, L. (2009). Detecting influenza epidemics using search engine query data. Nature, 457, 1012-1014.
-
(2009)
Nature
, vol.457
, pp. 1012-1014
-
-
Ginsberg, J.1
Mohebbi, M.H.2
Patel, R.S.3
Brammer, L.4
Smolinski, M.S.5
Brilliant, L.6
-
15
-
-
72849135776
-
-
Google, Accessed 30 Aug 2009
-
Google (2009). About Google trends. http://www.google.com/intl/en/trends/about. html. Accessed 30 Aug 2009.
-
(2009)
About Google trends
-
-
-
16
-
-
84879795560
-
-
Google Insights, Accessed 30 Aug 2009
-
Google Insights (2009a). How is the data normalized? http://www.google.com/support/insights/bin/bin/bin/answer. py?answer=87284&topic=13975. Accessed 30 Aug 2009.
-
(2009)
How is the data normalized?
-
-
-
17
-
-
84879799373
-
-
Google Insights, Accessed 30 Aug 2009
-
Google Insights (2009b). How is the data scaled? http://www.google.com/support/insights/bin/bin/answer. py?answer=87282. Accessed 30 Aug 2009.
-
(2009)
How is the data scaled?
-
-
-
18
-
-
84872453971
-
-
Google Trends, Accessed 11 Nov 2012
-
Google Trends (2012a). How is the data derived? http://support. google.com/trends/bin/answer. py?hl=en&answer=92768&topic=13975&ctx=topic. Accessed 11 Nov 2012.
-
(2012)
How is the data derived?
-
-
-
19
-
-
84879793208
-
-
Google Trends, Accessed 11 Nov 2012
-
Google Trends (2012b). How is the data scaled? http://support. google.com/trends/bin/answer. py?hl=en&answer=87282&topic=13975&ctx=topic. Accessed 11 Nov 2012.
-
(2012)
How is the data scaled?
-
-
-
20
-
-
84879800670
-
-
Google Trends, Accessed 11 Nov 2012
-
Google Trends (2012c). Is the data normalized? http://support. google.com/trends/bin/answer. py?hl=en&answer=87284&topic=13975&ctx=topic. Accessed 11 Nov 2012.
-
(2012)
Is the data normalized?
-
-
-
21
-
-
0004296209
-
-
4th edn., New Jersey: Prentice Hall
-
Green, W. H. (2000). Econometric analysis (4th ed.). New Jersey: Prentice Hall.
-
(2000)
Econometric Analysis
-
-
Green, W.H.1
-
24
-
-
0001604017
-
A poisson regression model of highway fatalities
-
Michener, R., & Tighe, C. (1992). A poisson regression model of highway fatalities. The American Economic Review, 82(2), 452-456.
-
(1992)
The American Economic Review
, vol.82
, Issue.2
, pp. 452-456
-
-
Michener, R.1
Tighe, C.2
-
25
-
-
69949094116
-
Accommodation search query formulation: implications for search engine marketing
-
Pan, B., Litvin, S. W., O'Donnell, T. (2007). Accommodation search query formulation: implications for search engine marketing. Journal of Vacation Marketing, 13(4), 371-381.
-
(2007)
Journal of Vacation Marketing
, vol.13
, Issue.4
, pp. 371-381
-
-
Pan, B.1
Litvin, S.W.2
O'Donnell, T.3
-
27
-
-
0037331960
-
International evidence on the long-run impact of inflation
-
Rapach, D. (2003). International evidence on the long-run impact of inflation. Journal of Money Credit and Banking, 35(1), 23-45.
-
(2003)
Journal of Money Credit and Banking
, vol.35
, Issue.1
, pp. 23-45
-
-
Rapach, D.1
-
28
-
-
84954935208
-
Temporal aggregation and economic time series
-
Rossana, R. J., & Seater, J. J. (1995). Temporal aggregation and economic time series. American Statistical Association, 13(4), 441-451.
-
(1995)
American Statistical Association
, vol.13
, Issue.4
, pp. 441-451
-
-
Rossana, R.J.1
Seater, J.J.2
-
29
-
-
0010876556
-
Quasi-likelihood methods for count data
-
M. H. Pesaran and P. Schmidt (Eds.), Oxford: Blackwell
-
Wooldridge, J. M. (1997). Quasi-likelihood methods for count data. In M. H. Pesaran, & P. Schmidt (Eds.), Handbook of applied econometrics, volume II: microeconomics (pp. 352-406). Oxford: Blackwell.
-
(1997)
Handbook of Applied Econometrics, Volume II: Microeconomics
, pp. 352-406
-
-
Wooldridge, J.M.1
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